Ian and Aaron talk about UI Kits in the era of AI, dreams of being at Laracon, Aaron’s next steps, Ian’s mysterious side project, and more.

Sponsored by Bento, WorkOS, NativePHP for Mobile, ForwardMX, and Laracon US 2025

Interested in sponsoring Mostly Technical?  Head to https://mostlytechnical.com/sponsor to learn more.

• (00:00) - Father's Day
• (10:49) - The New Focus
• (16:53) - UI Kits in the AI Era
• (23:12) - A Tailwind UI Story
• (35:51) - What's Next For Try Hard
• (42:32) - Dreams of Laracon
• (45:13) - Ian's Tinkering
• (57:38) - What Time Is It?

Links:

• Barnes & Noble
• Glauber Costa on X
• The Panel (podcast)
• HelpSpot
• Instrumental Components

Our 212th episode with a summary and discussion of last week's big AI news! Recorded on 06/33/2025

Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai

Read out our text newsletter and comment on the podcast at https://lastweekin.ai/.

In this episode:

• OpenAI introduces O3 PRO for ChatGPT, highlighting significant improvements in performance and cost-efficiency.
• Anthropic sees an influx of talent from OpenAI and DeepMind, with significantly higher retention rates and competitive advantages in AI capabilities.
• New research indicates that reinforcing negative responses in LLMs significantly improves performance across all metrics, highlighting novel approaches in reinforcement learning.
• A security flaw in Microsoft Copilot demonstrates the growing risk of AI agents being hacked, emphasizing the need for robust protection against zero-click attacks.

Timestamps + Links:

• (00:00:11) Intro / Banter
• (00:01:31) News Preview
• (00:02:46) Response to Listener Reviews
• Tools & Apps
  • (00:04:48) OpenAI adds o3 Pro to ChatGPT and drops o3 price by 80 per cent, but open-source AI is delayed
  • (00:09:10) Cursor AI editor hits 1.0 milestone, including BugBot and high-risk background agents
  • (00:13:07) Mistral releases a pair of AI reasoning models
  • (00:16:18) Elevenlabs' Eleven v3 lets AI voices whisper, laugh and express emotions naturally
  • (00:19:00) ByteDance's Seedance 1.0 is trading blows with Google's Veo 3
  • (00:22:42) Google Reveals $20 AI Pro Plan With Veo 3 Fast Video Generator For Budget Creators
• Applications & Business
  • (00:25:42) OpenAI and DeepMind are losing engineers to Anthropic in a one-sided talent war
  • (00:34:32) OpenAI slams court order to save all ChatGPT logs, including deleted chats
  • (00:37:24) Nvidia’s Biggest Chinese Rival Huawei Struggles to Win at Home
  • (00:43:06) Huawei Expected to Break Semiconductor Barriers with Development of High-End 3nm GAA Chips; Tape-Out by 2026
  • (00:45:21) TSMC’s 1.4nm Process, Also Called Angstrom, Will Make Even The Most Lucrative Clients Think Twice When Placing Orders, With An Estimate Claiming That Each Wafer Will Cost $45,000
  • (00:47:43) Mistral AI Launches Mistral Compute To Replace Cloud Providers from US, China
• Projects & Open Source
  • (00:51:26) ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
• Research & Advancements
  • (00:57:27) Kinetics: Rethinking Test-Time Scaling Laws
  • (01:05:12) The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning
  • (01:10:45) Predicting Empirical AI Research Outcomes with Language Models
  • (01:15:02) EXP-Bench: Can AI Conduct AI Research Experiments?
• Policy & Safety
  • (01:20:07) Large Language Models Often Know When They Are Being Evaluated
  • (01:24:56) Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
  • (01:31:16) Exclusive: New Microsoft Copilot flaw signals broader risk of AI agents being hacked—‘I would be terrified’
  • (01:35:01) Claude Gov Models for U.S. National Security Customers
• Synthetic Media & Art
  • (01:37:32) Disney And NBCUniversal Sue AI Company Midjourney For Copyright Infringement
  • (01:40:39) AMC Networks is teaming up with AI company Runway

Diane Hare talks to Jon Krohn about the power of storytelling for corporate buy-in of AI initiatives, how to actively implement AI to transform organizations, and how emerging professionals can upskill themselves. Hear how she discovered her background in storytelling at Ernst & Young and her work with Simon Sinek, which she finds to be integral to her process. Inspired by Sinek’s aphorism “start with why”, Diane notes that many companies neglect this crucial part of their mission because they never take the time to work on it. Additional materials: ⁠⁠⁠www.superdatascience.com/897⁠⁠ This episode is brought to you by Trainium2, the latest AI chip from AWS, by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (04:51) How Y Carrot works with BizLove (14:19) How BizLove prioritizes change management (29:18) How to upskill effectively (42:37) How BizLove integrated data from two enterprises (48:52) How to enable change in your business

Are your AI agents unreliable? In this guide, we reveal a professional system for AI evals to help you build and ship better AI products, faster. Learn how to systematically test LLM performance, evaluate complex tool use, and improve multi-turn conversations. We break down the exact process for building a high-quality eval dataset, using milestones and minefields to track agent behaviour, and how to properly use an LLM as a judge without compromising quality. Stop guessing and start making real, measurable improvements to your AI today.

Check out Quotient AI

https://www.quotientai.co/

Sign up for A.I. coaching for professionals at: https://www.anetic.co

Get FREE AI tools

pip install tool-use-ai

Connect with us https://x.com/ToolUseAI

https://x.com/MikeBirdTech

https://x.com/freddie_v4

00:00:00 - intro

00:02:54 - Why You Need AI Evals

00:06:13 - How to Evaluate AI Agent Tool Use

00:29:24 - The Process for Building Your First Eval Dataset

00:42:44 - Using an LLM as a Judge The Right Way

Subscribe for more insights on AI tools, productivity, and AI evals.

Tool Use is a weekly conversation with AI experts brought to you by Anetic.

Throughout her years working in technology, Jenny Wang, 28, always found herself stumbling back to one idea — a personal styling agent to help users decide what to wear and buy based on their budget, lifestyle, weather and calendar.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Instagram users report that their accounts were banned even though they had not violated the company's terms of service or other policies. Learn more about your ad choices. Visit podcastchoices.com/adchoices

From energy bottlenecks to proprietary GPU ecosystems, the CEO of TensorWave, Darrick Horton explains why today’s AI scale is unsustainable—and how open-source hardware, smarter networking, and nuclear power could be the fix.

QUOTES

Darrick Horton



“The energy crisis is getting worse every day. It’s very hard to find data center capacity—especially capacity that can scale. Five years ago, 10 or 20 megawatts was considered state-of-the-art. Now, 20 is nothing. The real hyperscale AI players are looking at 100 megawatts minimum, going into the gigawatt territory. That’s more than many cities combined just to power one cluster.”

Charna Parkey

“We’re still training models in a very brute-force way—throwing the biggest datasets possible at the problem and hoping something useful emerges. That’s not sustainable. At some point, we have to shift toward smarter, more intentional training methods. We can’t afford to be wasteful at this scale.”

TIMESTAMPS

[00:00:00] Introduction

[00:01:00] Founding TensorWave

[00:04:00] AMD as a Viable Alternative

[00:08:00] Open Source as a Startup Enabler

[00:09:30] Launching ScalarLM

[00:12:00] ScalarLM Impact and Reception

[00:14:30] Roadmap for 2025

[00:16:00] Technical Advantages of AMD

[00:18:00] Emerging Open Source Infrastructure

[00:20:00] Broader Societal Issues AI Must Address

[00:22:00] AI’s Impact on Global Energy

[00:26:00] Fundamental Hardware vs. Human Efficiency

[00:30:00] Data Center Density Evolution

[00:34:00] Advice to Founders and Tech Trends

[00:38:00] AI Energy Challenges

[00:44:00] AI’s Rapid Impact vs. Internet

[00:46:00] Monopoly vs. Democratization in AI

[00:50:00] Close to Season Wrap Discussion and Predictions

Among the many snags to OpenAI shifting to for-profit, the Microsoft snag is still the biggest issue. More Intel job cuts coming. Would you believe a Roblox game involving gardening is maybe bigger than Fortnite? And two big firsts: most people get their news from social media, and streaming is now the king of all TV watching.

Sponsors:

• MackWeldon.com promocode BRIAN

Links:

• OpenAI Seeks New Financial Concessions From Microsoft, a Top Shareholder (The Information)
• OpenAI and Microsoft Tensions Are Reaching a Boiling Point (WSJ)
• OpenAI wins $200 million U.S. defense contract (CNBC)
• Intel will lay off 15% to 20% of its factory workers, memo says (The Oregonian)
• Amazon Prime Day stretches to four days of deals this year (The Verge)
• Generation Alpha’s FarmVille Is Growing Like Crazy in Roblox (NYTimes)
• For the first time, social media overtakes TV as Americans’ top news source (NiemanLab)
• It’s Official: Streaming Is Now the King of TV (NYTimes)

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Wes chats with James Mikrut, founder of Payload CMS, about being acquired by Figma! They discuss building an open source business, the future of UI design, AI interfaces, and what this means for the future of Payload and Figma. Show Notes 00:00 Welcome to Syntax! 01:06 What is Payload CMS? 01:56 The big announcement. 03:03 Why does Figma want a CMS? 05:23 This has got to be about AI, right? 09:37 Brought to you by Sentry.io. 10:02 What will the interface be? 14:02 Generative, user-specific UI. 16:17 Agents make everything look like ShadCN. 18:18 What does this mean for Payload users? 20:23 How this improves Payload. 22:31 Trying to stand out as a CMS. 23:35 Is this going to cost users? 25:12 Sick Picks & Shameless Plugs. Sick Picks James: Triumph Street Triple, Malört Liquor. Shameless Plugs James: PayloadCMS. Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

On today’s show Andrew and Bill take stock of the US-China trade framework in the wake of last week’s negotiations in London. Topics include: US escalations that brought the PRC side back to the table, PRC rare earth leverage that forced a compromise but no additional export control concessions, and variables to watch as trade tensions continue. From there: A survey of the various implications for the PRC as Israel attacks Iran and Wang Yi condemns the violations of Iran’s sovereignty. At the end: The FT reports on struggles in the PRC auto industry, the politics of factory closures, another compelling data point undermining Xi rumors, and a Wall Street Journal story about new chip workarounds for PRC firms.

Today I'm chatting with Demetrios Brinkmann, certified Cool Dude (TM) with lots of experience in the machine learning space. I recorded this a million years ago and must thank Demetrios for his patience. Topics we touch on are: machine learning hype in businesses, job searches, and the pros/cons of authenticity in a career.

Also, in a desperate attempt to feel like this is a responsible thing to produce while running a business, you can get advice on all sorts of software problems from my team at hermit-tech.com or email me personally at nik.suresh@hermit-tech.com

Many thanks are also extended to Lisa Lorenzin for taking my garbage audio and turning it into something passable.

As the dust settles after keynote season, Ben and Andrew answer mailbag questions and talk through the future prospects for Cursor and Perplexity, multi-modality possibilities for AI devices, Apple's advantages if they deepen their partnership with OpenAI, more on Meta's investment in Scale AI, the business logic of chasing superintelligence, and takes on an AI conversation between Bill Simmons and Chuck Klosterman.

Ion Stoica helped define the modern data stack. Now he’s coming for AI evaluation. From co-founding Databricks and Anyscale to launching LMArena, Ion has shaped the infrastructure underlying some of the biggest shifts in computing. In this conversation, he unpacks what most people get wrong about model evaluation, the infrastructure challenges ahead for agents and heterogeneous compute, and why he believes the U.S. is structurally disadvantaged in open-source AI compared to China.

 

(0:00) Intro

(0:49) Launching a New Startup: LMArena

(1:01) The Origin of the Vicuna Model

(1:54) Challenges in Model Evaluation

(6:33) Becoming a Company

(7:47) Expanding Evaluation Capabilities

(13:48) The Importance of Human-Based Evaluations

(18:56) Open Source vs. Proprietary Models

(23:05) Infrastructure and Collaboration Challenges

(28:22) China's Strategic Advantages in Technology

(29:54) Opportunities in AI Infrastructure

(31:50) Challenges in AI Model Optimization

(35:49) The Role of Data in AI Enterprises

(39:31) Reflections on AI Progress and Predictions

(50:40) Quickfire

 

With your co-hosts: 

@jacobeffron 

- Partner at Redpoint, Former PM Flatiron Health 

@patrickachase 

- Partner at Redpoint, Former ML Engineer LinkedIn 

@ericabrescia 

- Former COO Github, Founder Bitnami (acq’d by VMWare) 

@jordan_segall 

- Partner at Redpoint

In this episode of AI Native Dev, Guy Podjarny and Danny Allan unpack how security has reduced just to a concern from a roadblock for devs.



On the docket:

• why 80% of Snyk’s enterprise customers are actively using AI tools
• navigating security risks of today and tomorrow
• the recurring flaw in every new stack
• why more code means more vulnerabilities

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development. 



Connect with us here: 

1. Danny Allan- https://www.linkedin.com/in/dannyallan/
2. Guy Podjarny- https://www.linkedin.com/in/guypo/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh

Ask us questions: podcast@tessl.io

What if the traditional engineering career path is being fundamentally rewritten by AI? 

We're joined by Philipp Schmid, Senior AI Developer Relations Engineer at Google DeepMind, to explore how artificial intelligence is not just a tool, but a force reshaping engineering roles, team dynamics, and the foundational methods of skill development. Philipp, with his background at Hugging Face and now at the cutting edge with Google DeepMind, offers a unique perspective on the rise of AI-native teams and engineers who learn faster, work more broadly, and drive innovation at an unprecedented scale.

Philipp offers an inside look at Google DeepMind's engine of AI innovation and breaks down the key differences between Google's flagship Gemini models and the versatile Gemma family of open models, detailing their distinct purposes.We also touch upon exciting takeaways from the recent Google I/O event, including powerful new on-device capabilities and the mind-blowing text-to-video generation with Veo.

Finally, Philipp shares practical advice for engineers and their organizations on navigating this AI-driven landscape, emphasizing continuous learning, an adaptable mindset, and how to effectively leverage a diverse AI toolkit to thrive.

Check out:

• Download: The 6 trends shaping the future of AI-driven development 

Follow the hosts:

• Follow Ben
• Follow Andrew

Follow today's guest:

• Twitter: @philschmid
• LinkedIn
• GitHub (philschmid)
• Learn more about Google DeepMind's models: Google AI Studio

Referenced in today's show:

• OpenAI's latest partner: Mattel | LinkedIn 
• I Read All Of Cloudflare's Claude-Generated Commits 
• AI coding assistants aren’t really making devs feel more productive - LeadDev 
• Congratulations on creating the one billionth repository on GitHub

Support the show:

• Subscribe to our Substack
• Leave us a review
• Subscribe on YouTube
• Follow us on Twitter or LinkedIn

Offers:

• Learn about Continuous Merge with gitStream
• Get your DORA Metrics free forever

As OpenAI's former Head of Research, Bob McGrew witnessed the company's evolution from GPT-3’s breakthrough to today's reasoning models. He argues that there are three legs of the stool for AGI—Transformers, scaled pre-training, and reasoning—and that the fundamentals that will shape the next decade-plus are already in place. He thinks 2025 will be defined by reasoning while pre-training hits diminishing returns. Bob discusses why the agent economy will price services at compute costs due to near-infinite supply, fundamentally disrupting industries like law and medicine, and how his children use ChatGPT to spark curiosity and agency. From robotics breakthroughs to managing brilliant researchers, Bob offers a unique perspective on AI’s trajectory and where startups can still find defensible opportunities. Hosted by: Stephanie Zhan and Sonya Huang, Sequoia Capital Mentioned in this episode:  Solving Rubik’s Cube with a robot hand: OpenAI’s original robotics research Computer Use and Operator: Anthropic and OpenAI reasoning breakthroughs that originated with OpenAi researchers Skild and Physical Intelligence: Robotics-oriented companies Bob sees as well-positioned now Distyl: AI company founded by ex-Palintir alums to create enterprise workflows driven by proprietary data Member of the technical staff: Title at OpenAI designed to break down barriers between AI researchers and engineers Howie.ai: Scheduling app that Bob uses

Welcome back to SED News, a podcast series from Software Engineering Daily where hosts Gregor Vand and Sean Falconer break down the latest stories in software engineering, Silicon Valley, and wider tech world. In this episode, Gregor and Sean unpack what’s going with Deel and Rippling, explore why Databricks and Snowflake are making big bets

The post SED News: Corporate Spies, Postgres, and the Weird Life of Devs Right Now appeared first on Software Engineering Daily.

Topics covered in this episode:

• * Free-threaded Python no longer “experimental” as of Python 3.14*
• typed-ffmpeg
• pyleak
• * Optimizing Test Execution: Running live_server Tests Last with pytest*
• Extras
• Joke

Watch on YouTube

About the show

Sponsored by PropelAuth: pythonbytes.fm/propelauth66

Connect with the hosts

• Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky)
• Brian: @brianokken@fosstodon.org / @brianokken.bsky.social
• Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky)

Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too.

Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it.

Brian #1: Free-threaded Python no longer “experimental” as of Python 3.14

• “PEP 779 ("Criteria for supported status for free-threaded Python") has been accepted, which means free-threaded Python is now a supported build!” - Hugo van Kemenade
• PEP 779 – Criteria for supported status for free-threaded Python
• As noted in the discussion of PEP 779, “The Steering Council (SC) approves PEP 779, with the effect of removing the “experimental” tag from the free-threaded build of Python 3.14.”
• We are in Phase II then.
• “We are confident that the project is on the right path, and we appreciate the continued dedication from everyone working to make free-threading ready for broader adoption across the Python community.”
• “Keep in mind that any decision to transition to Phase III, with free-threading as the default or sole build of Python is still undecided, and dependent on many factors both within CPython itself and the community. We leave that decision for the future.”
• How long will all this take? According to Thomas Wouters, a few years, at least: “In other words: it'll be a few years at least. It can't happen before 3.16 (because we won't have Stable ABI support until 15) and may well take longer.”

Michael #2: typed-ffmpeg

• typed-ffmpeg offers a modern, Pythonic interface to FFmpeg, providing extensive support for complex filters with detailed typing and documentation.

• Inspired by ffmpeg-python, this package enhances functionality by addressing common limitations, such as lack of IDE integration and comprehensive typing, while also introducing new features like JSON serialization of filter graphs and automatic FFmpeg validation.

• Features :

  • Zero Dependencies: Built purely with the Python standard library, ensuring maximum compatibility and security.
  • User-Friendly: Simplifies the construction of filter graphs with an intuitive Pythonic interface.
  • Comprehensive FFmpeg Filter Support: Out-of-the-box support for most FFmpeg filters, with IDE auto-completion.
  • Integrated Documentation: In-line docstrings provide immediate reference for filter usage, reducing the need to consult external documentation.
  • Robust Typing: Offers static and dynamic type checking, enhancing code reliability and development experience.
  • Filter Graph Serialization: Enables saving and reloading of filter graphs in JSON format for ease of use and repeatability.
  • Graph Visualization: Leverages graphviz for visual representation, aiding in understanding and debugging.
  • Validation and Auto-correction: Assists in identifying and fixing errors within filter graphs.
  • Input and Output Options Support: Provide a more comprehensive interface for input and output options, including support for additional codecs and formats.
  • Partial Evaluation: Enhance the flexibility of filter graphs by enabling partial evaluation, allowing for modular construction and reuse.
  • Media File Analysis: Built-in support for analyzing media files using FFmpeg's ffprobe utility, providing detailed metadata extraction with both dictionary and dataclass interfaces.

Michael #3: pyleak

• Detect leaked asyncio tasks, threads, and event loop blocking with stack trace in Python. Inspired by goleak.
• Use as context managers or function dectorators
• When using no_task_leaks, you get detailed stack trace information showing exactly where leaked tasks are executing and where they were created.
• Even has great examples and a pytest plugin.

Brian #4: Optimizing Test Execution: Running live_server Tests Last with pytest

• Tim Kamanin

• “When working with Django applications, it's common to have a mix of fast unit tests and slower end-to-end (E2E) tests that use pytest's live_server fixture and browser automation tools like Playwright or Selenium. ”

• Tim is running E2E tests last for

  • Faster feedback from quick tests
  • To not tie up resources early in the test suite.

• He did this with

  • custom “e2e” marker

  • Implementing a

    pytest_collection_modifyitems
    

    hook function to look for tests using the

    live_server
    

    fixture, and for them

    • automatically add the e2e marker to those tests
    • move those tests to the end

• The reason for the marker is to be able to

  • Just run e2e tests with -m e2e
  • Avoid running them sometimes with -m "not e2e"

• Cool small writeup.

  • The technique works for any system that has some tests that are slower or resource bound based on a particular fixture or set of fixtures.

Extras

Brian:

• Is Free-Threading Our Only Option? - Interesting discussion started by Eric Snow and recommended by John Hagen
• Free-threaded Python on GitHub Actions - How to add FT tests to your projects, by Hugo van Kemenade

Michael:

• New course! LLM Building Blocks in Python
• Talk Python Deep Dives Complete: 600K Words of Talk Python Insights
• .folders on Linux
  • Write up on XDG for Python devs.
• They keep pulling me back - ChatGPT Pro with o3-pro
• Python Bytes is the #1 Python news podcast and #17 of all tech news podcasts.
• Python 3.13.4, 3.12.11, 3.11.13, 3.10.18 and 3.9.23 are now available
• Python 3.13.5 is now available!

Joke: Naming is hard

If we want AI systems that actually work, we need to get much better at evaluating them, not just building more pipelines, agents, and frameworks. In this episode, Hugo talks with Hamel Hussain (ex-Airbnb, GitHub, DataRobot) about how teams can improve AI products by focusing on error analysis, data inspection, and systematic iteration. The conversation is based on Hamel’s blog post A Field Guide to Rapidly Improving AI Products, which he joined Hugo’s class to discuss. They cover: 🔍 Why most teams struggle to measure whether their systems are actually improving 📊 How error analysis helps you prioritize what to fix (and when to write evals) 🧮 Why evaluation isn’t just a metric — but a full development process ⚠️ Common mistakes when debugging LLM and agent systems 🛠️ How to think about the tradeoffs in adding more evals vs. fixing obvious issues 👥 Why enabling domain experts — not just engineers — can accelerate iteration If you’ve ever built an AI system and found yourself unsure how to make it better, this conversation is for you. LINKS * A Field Guide to Rapidly Improving AI Products by Hamel Husain (https://hamel.dev/blog/posts/field-guide/) * Vanishing Gradients YouTube Channel (https://www.youtube.com/channel/UC_NafIo-Ku2loOLrzm45ABA) * Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk) * Hugo's recent newsletter about upcoming events and more! (https://hugobowne.substack.com/p/ai-as-a-civilizational-technology) 🎓 Learn more: Hugo's course: Building LLM Applications for Data Scientists and Software Engineers (https://maven.com/s/course/d56067f338) — next cohort starts July 8: https://maven.com/s/course/d56067f338 Hamel & Shreya's course: AI Evals For Engineers & PMs (https://maven.com/parlance-labs/evals?promoCode=GOHUGORGOHOME) — use code GOHUGORGOHOME for $800 off 📺 Watch the video version on YouTube: YouTube link (https://youtu.be/rWToRi2_SeY)

Plus - Patreon will increase the cut it takes from new creators; Car-sharing giant Zoomcar says hacker accessed personal data of 8.4 million users Learn more about your ad choices. Visit podcastchoices.com/adchoices

It sounds like the start of a 21st century horror film: Your browser history has been public all along, and you had no idea. That’s basically what it feels like right now on the new standalone Meta AI app, where swathes of people are publishing their ostensibly private conversations with the chatbot. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Spanish startup Multiverse Computing announced that it raised an enormous Series B round on the strength of a technology it calls “CompactifAI.” Learn more about your ad choices. Visit podcastchoices.com/adchoices

Zevo is a new peer-to-peer car-sharing startup, which is broadly similar to Turo, but focused exclusively on electric vehicles. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Amazon and Talen revised an existing deal to buy power from the Susquehanna nuclear power plant. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this conversation, Simon Willison discusses the intersection of AI, Open Source, and journalism, emphasizing the importance of tools like Dataset in enhancing data journalism. He reflects on his journey from developing Django to his current work with AI, highlighting the role of open source in software development. Willison shares insights on how AI can augment human capabilities rather than replace them, and he expresses concerns about the future of AI, particularly regarding AGI. The discussion also touches on the evolving landscape of programming and the need for better onboarding processes for new developers.

In this episode of The Infra Pod, Tim (Essence VC) and Ian (Keycard) are joined by Branden Wagner, Head of Information Security at Mercury. They delve into the nuances of Information Security, discuss the interplay between human and technical controls, and explore the evolving role of AI in security. Wagner shares insights on fostering a collaborative culture and building secure systems, providing valuable advice for both engineers and security professionals.

00:00 Introduction and Guest Welcome

01:07 The Importance of Security Culture

04:40 Building Collaborative Security Programs

10:54 Integrating Security into Business Practices

21:30 The Role of AI in Information Security

32:22 Spicy Future: The Impact and Limitations of AI

Recorded live at Microsoft Build 2025, this RedMonk Conversation features James Governor speaking with Dr. Nicole Forsgren and Gene Kim about the future of DevOps in the era of AI agents and vibe coding. They explore how generative AI is transforming software development, the evolving role of developers, and the importance of maintaining strong processes, culture, and developer experience as code creation accelerates. The conversation also previews their upcoming books on vibe coding and developer experience.

Ads finally come to WhatsApp. Are we about to get a literal Trump phone? More ads on your TV. All ads are about to become AI. And at the end of the show, a bit of an essay from me about Google, AI, and what I think is about to happen to the larger web, literally right now.

Sponsors:

• AGNTCY.ORG
• QualiaLife.com/ride and code ride

Links:

• WhatsApp Introduces Ads in Its App (NYTimes)
• Trump Mobile: President’s Company Unveils Wireless Service Delivered via AT&T, Verizon and T-Mobile, Plans to Launch a U.S.-Made ‘Sleek, Gold’ Android Smartphone (Variety)
• Amazon Ads & Roku Set Landmark Pact Giving Brands Access To 80% Of Connected-TV Households (Deadline)
• TikTok Pushes Deeper Into AI-Generated Video Ads With New Tools (Bloomberg)
• Google Search Is Fading. The Whole Internet Is At Risk. (Barron's)

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

We’ve been gone a while. Here’s our excuse for being silent for a month: PyCon, PyCon, something something security. Come listen to how the conference looked like from our perspective! And whatever you do, DO NOT upgrade to Python 3.13.4.

## Timestamps

(00:00:00) INTRO

(00:01:06) PART 1: LANGUAGE SUMMIT

(00:04:47) A bit about the Summit talks

(00:06:19) Is free-threading happening?

(00:09:20) Łukasz and his favorite discussion item at the Summit

(00:13:38) Find actual competent coverage of the Summit on the PSF blog

(00:14:17) PART 2: PYCON TALK HIGHLIGHTS

(00:14:33) Cory Doctorow's opening keynote

(00:18:17) Brandt Bucher's talk on JIT challenges

(00:28:28) Lysandros and Nathan talk about community adoption of free-threading

(00:36:23) Lynn Root's keynote

(00:37:46) PyXL: Python-oriented chip

(00:39:47) Łukasz and his tutorial on WebGL with PyScript

(00:47:58) A new bet appears!

(00:48:14) Zoom, Enhance the Banana

(00:54:11) Watch out, Łukasz is talking about audio again

(01:02:42) Ivona and Pablo talk about remote code execution as a service

(01:05:44) Core Python sprints after the conference

(01:12:48) PART 3: PR OF THE WEEK

(01:13:00) tarfile security fixes

(01:19:13) Pablo's PR: strncmp considered harmful

(01:25:36) PART 4: WHAT'S GOING ON IN CPYTHON

(01:26:06) compression.zstd lands

(01:28:01) concurrent.futures → asyncio.Future transfer 4X faster

(01:29:14) Bugfix: PyCFuncPtr_call no longer uses locks

(01:30:13) Some curiosities

(01:34:14) OUTRO

Building systems software can be quite opaque, leading to the need for great debugging tools. At Oxide, we've found that debuggers can be even more valuable leading rather than following system development. Bryan and Adam talk with Oxide colleagues about how domain specific debugging tools help us build systems not only more robustly, but faster as well.

In addition to Bryan Cantrill and Adam Leventhal, we were joined by Oxide colleagues, Dave Pacheco. John Gallagher, Alan Hanson, and Eliza Weisman.

Previous episodes mentioned:

• OxF: AI Discourse with Steve Klabnik
• OxF: The Saga of Sagas
• OxF: A Crate is Born
• OxF: The Network Behind the Network
• OxF: Bringing up Cosmo
• OxF: RIP USENIX ATC
• OxF: Dijkstra’s Tweetstorm

Some of the topics we hit on, in the order that we hit them:

• omdb ground rules

If we got something wrong or missed something, please file a PR! Our next show will likely be on Monday at 5p Pacific Time on our Discord server; stay tuned to our Mastodon feeds for details, or subscribe to this calendar. We'd love to have you join us, as we always love to hear from new speakers!

Economics is seeing an upsurge in the importance of controlled, reproducible empirical studies. One area where this has had a great impact is on development economics, which studies the economies of low- and middle-income societies. Edward Miguel has been at the forefront of both the revolution in empirical methods, and in applying those techniques to alleviating poverty in sub-Saharan Africa and elsewhere.

Blog post with transcript: https://www.preposterousuniverse.com/podcast/2025/06/16/318-edward-miguel-on-the-developing-practice-of-development-economics/

Support Mindscape on Patreon.

Edward Miguel received his Ph.D. in economics from Harvard university. He is currently Distinguished Professor of Economics and Oxfam Professor in Environmental and Resource Economics at the University of California, Berkeley. He is also Faculty co-Director of the Center for Effective Global Action and a Faculty Research Associate of the National Bureau of Economic Research. Among his awards are the Frisch Medal of the Econometric Society, the Kenneth Arrow Prize of the International Health Economics Association, and multiple teaching awards.

• Web site
• Berkeley web page
• Google Scholar publications
• Wikipedia

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this special in-person episode, Sanne Grinovero shares the story of Java’s evolution from his unique perspective as a long-time open-source contributor. He shares his 16-year career journey at Red Hat, highlighting his amazing work on key projects like Hibernate, Infinispan, and especially the creation of Quarkus. His career trajectory, from a student who initially disliked Java’s complexity to a leading figure in its modernization, shows the transformative power of open source.

A key part of the conversation focuses on how technical challenges spark innovation. Sanne explains how the task of making the popular Hibernate framework compatible with GraalVM’s limitations led directly to the birth of Quarkus. This journey tells the bigger story of how Java adapted for cloud-native development, ensuring it continues to be a top choice for developers seeking high performance and a great developer experience.  

Timestamps:

• (00:00:00) Trailer & Intro
• (00:02:16) Career Turning Points
• (00:04:52) Winning an Innovation Award
• (00:06:35) Java Heroes
• (00:08:04) Working as a Consultant
• (00:09:56) Taking a Massive Pay Cut to Work on Open Source
• (00:10:59) Contributing to Big Open Source as a Youngster
• (00:12:53) State of Hibernate Project
• (00:15:15) Spring Boot
• (00:16:54) Making Hibernate Work on GraalVM
• (00:21:05) GraalVM Limitations for Running Hibernate
• (00:26:09) Java for Cloud Native Application
• (00:28:04) Quarkus vs Spring Boot
• (00:33:21) JRebel & Quarkus
• (00:34:35) Java vs New Programming Languages
• (00:39:22) The ORM Dilemma
• (00:42:38) Some Hibernate Design Pattern Tips
• (00:46:40) Getting Paid Working on Open Source
• (00:48:41) Hibernate License Change
• (00:51:05) Intellectual Property & Meaningful Contributions
• (00:52:52) AI Usage & Copyright in Open Source
• (00:55:21) Biggest Challenge Working in a Big Open Source
• (00:56:08) Politics in Open Source
• (00:58:32) Security Risks in Open Source
• (01:02:25) Donating Hibernate to Commonhaus Foundation
• (01:04:49) The Future of Red Hat
• (01:06:39) 3 Tech Lead Wisdom

_____

Sanne Grinovero’s Bio
Sanne Grinovero has been a member of the Hibernate team for 10 years; today he leads this project in his role of Sr. Principal Software Engineer at Red Hat, while also working on Quarkus as a founding R&D engineer.

Deeply interested in solving performance and concurrency challenges around data access, scalability, and exploring integration with new storage technologies, distributed systems and search engines.

Working on Hibernate features led him to contribute to related open source technologies; most notably to Apache Lucene and Elasticsearch, Infinispan and JGroups, ANTLR, WildFly, various JDBC drivers, the OpenJDK and more recently getting interested in GraalVM.

After being challenged to reduce memory consumption and improve bootstrap times of Hibernate, Sanne worked as part of a small R&D team at Red Hat on some ideas which have evolved into what is known today as Quarkus.

Follow Sanne:

• LinkedIn – linkedin.com/in/sannegrinovero
• Twitter – twitter.com/SanneGrinovero
• GitHub – github.com/sanne

Like this episode?
Show notes & transcript: techleadjournal.dev/episodes/220.
Follow @techleadjournal on LinkedIn, Twitter, and Instagram.
Buy me a coffee or become a patron.

We spent the week learning keybindings, installing dependencies, and cramming for bonus points. Today, we score up and see how we did in the TUI Challenge.

Sponsored By:

• Tailscale: Tailscale is a programmable networking software that is private and secure by default - get it free on up to 100 devices!
• 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps.
• Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility.

Support LINUX Unplugged

Links:

• 💥 Gets Sats Quick and Easy with Strike
• 📻 LINUX Unplugged on Fountain.FM
• LINUX Unplugged TUI Challenge Rules
• darnir's TUI Report
• zee — A modern text editor for the terminal written in Rust
• Helix Editor
• Browsh — fully-modern text-based browser
• ddgr — 🦆 DuckDuckGo from the terminal
• Ranger - A VIM-inspired filemanager for the console — Ranger is a console file manager with VI key bindings. It provides a minimalistic and nice curses interface with a view on the directory hierarchy.
• Joshuto — Ranger-like terminal file manager written in Rust
• tenere — 🤖 TUI interface for LLMs written in Rust
• elia — A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more.
• kpxhs — Interactive Keepass database TUI viewer
• keepass-mode — Emacs mode to open KeePass DB
• gocheat — A beautiful customizable TUI Cheatsheet for keybindings,hotkeys and more in the terminal
• castero: — TUI podcast client for the terminal
• textual-web — Run TUIs and terminals in your browser
• todoist: Todoist CLI Client. — Todoist is a cool TODO list web application. This program will let you use the Todoist in CLI.
• gomuks/gomuks: A TUI Matrix client — A Matrix client written in Go using mautrix.
• orf/gping: Ping, but with a graph
• impala — 🛜 TUI for managing wifi on Linux
• cmus - C\* Music Player — cmus is a small, fast and powerful console music player for Unix-like operating systems.
• systemctl-tui — A fast, simple TUI for interacting with systemd services and their logs.
• tdf — A tui-based PDF viewer
• rainfrog — 🐸A database management TUI
• jqp — A TUI playground to experiment with jq
• andcli — A 2FA TUI for your shell
• iamb — A Matrix client for Vim addicts
• parllama — TUI for ollama and other LLM providers.
• russ — A TUI RSS reader with vim-like controls and a local-first, offline-first focus
• ytui-music — Youtube client in terminal for music (lightweight youtube client)
• wiki-tui — A simple and easy to use Wikipedia Text User Interface
• tuifeed — 📰 A terminal feed reader with a fancy ui
• yazi — 💥 Blazing fast terminal file manager written in Rust, based on async I/O.
• vault-tasks — TUI Markdown Task Manager
• Don's TUI Challenge blog — #TUIChallenge
• Shyfox's TUI Challenge results
• Himalaya — CLI to manage emails, based on email-lib
• jellyfin-tui — Jellyfin music streaming client for the terminal.
• Alacritty — A cross-platform, OpenGL terminal emulator.
• apple/containerization — Containerization is a Swift package for running Linux containers on macOS. Containerization is written in Swift and uses Virtualization.framework on Apple silicon.
• Pick: somo — A human-friendly alternative to netstat for socket and port monitoring on Linux.

In this episode of Book Overflow, Carter and Nathan discuss the final third of In The Plex by Steven Levy! Join them as they discuss Google's decision to withdraw from China, their war with book publishers, and their struggles to compete in social media!

-- Books Mentioned in this Episode --

Note: As an Amazon Associate, we earn from qualifying purchases.

----------------------------------------------------------

In The Plex by Steven Levy

https://amzn.to/3T2I6NX (paid link)

----------------

00:00 Intro

05:10 About the Book and Author

06:10 Initial Thoughts on the Book

11:27 The Real Story Behind Google Leaving China

20:44 Google's Moral Dilemmas Part 1 - DoubleClick & Lobbying

23:55 Riff: "Corporate Values" and Founder Mode

29:22 Google's Moral Dilemmas Part 2 - DoubleClick & Lobbying

37:59 Google's Book scanning project

42:56 Google vs Amazon's Different Approaches to Book Scanning

43:20 Innocent Arrogance - Street View and Privacy

46:40 Pirvacy and Surveillance Concerns

49:57 Epilogue: Chasing Taillights

55:53 Final Thoughts

----------------

Spotify: https://open.spotify.com/show/5kj6DLCEWR5nHShlSYJI5L

Apple Podcasts: https://podcasts.apple.com/us/podcast/book-overflow/id1745257325

X: https://x.com/bookoverflowpod

Carter on X: https://x.com/cartermorgan

Nathan's Functionally Imperative: www.functionallyimperative.com

----------------

Book Overflow is a podcast for software engineers, by software engineers dedicated to improving our craft by reading the best technical books in the world. Join Carter Morgan and Nathan Toups as they read and discuss a new technical book each week!

The full book schedule and links to every major podcast player can be found at https://www.bookoverflow.io

Error handling in Go is one of the language's most controversial topics. It ranks high in each Go Developer Survey and many different people have proposed many different solutions to the perceived problems. The Go Team's stance on error handling as a problem in need of a fix has changed recently, with a declaration that no proposals will be accepted for changes to Go's error handling syntax. In this episode, Kris is joined by Ian and Matt to discuss this news. They talk about whether error handling has ever actually been a problem, what the Go team actually is, and the benefits of deciding not to provided syntactic support for error handling.

For our supporters, this episode contains an extended discussion. Get access by signing up at https://fallthrough.fm/subscribe.

Thanks for tuning in and happy listening!

Notes:

• [ On | No ] syntactic support for error handling
• #71203 proposal: spec: reduce error handling boilerplate using ?
• #71460 discussion: spec: reduce error handling boilerplate using ?
• Go Wiki: SliceTricks
• slices package
• maps package
• skriptble's Bluesky post on AI hype
• #19623 proposal: spec: change int to be arbitrary precision

Table of Contents:

• Prologue (02:32)
• Chapter 1: It's Fine. (04:03)
• Chapter 2: But What Are Errors? (09:19)
• Chapter 3: Who's Responsible For Solving Problems? (26:53)
• Chapter 4: We Should Panic (38:24)
• Chapter 5: Go Is A Low Level Language (41:32) [Supporter Only]
• Chapter 6: What Is The Go Team? (41:56)
• Chapter 7: What's Next for Go? (50:41)
• Chapter 8: Boundaries & Backpressure (59:08)
• Appendix UNPOP: Unpopular Proposals (59:39) [Supporter Only]
• Appendix WASM: The New FFI (59:43)
• Epilogue (01:05:36)

Hosts

• Kris Brandow - Host
• Ian Wester-Lopshire - Host
• Matthew Sanabria - Host

Socials:

• Website
• Bluesky
• Threads
• X/Twitter
• LinkedIn
• Instagram

• (02:32) - Prologue
• (04:03) - Chapter 1: It's Fine.
• (09:19) - Chapter 2: But What Are Errors?
• (26:53) - Chapter 3: Who's Responsible For Solving Problems?
• (38:24) - Chapter 4: We Should Panic
• (41:32) - Chapter 5: Go Is A Low Level Language [Supporter Only]
• (41:56) - Chapter 6: What Is The Go Team?
• (50:41) - Chapter 7: What's Next for Go?
• (59:08) - Chapter 8: Boundaries & Backpressure
• (59:39) - Appendix UNPOP: Unpopular Proposals [Supporter Only]
• (59:43) - Appendix WASM: The New FFI
• (01:05:36) - Epilogue

Scott and Wes break down the state of web browsers in 2025, from the rise and fall of Arc and the fate of Firefox to hot takes on Opera GX, Raycast, and why power users might not be profitable. They compare rendering engines, rant about dev tools, and reveal what browser stats say about Syntax listeners. Show Notes 00:00 Welcome to Syntax! 01:37 Rendering Engines. 02:11 Arc Browser. 02:41 Microsoft Edge. 03:45 Why not Brave? 05:25 Brought to you by Sentry.io. 05:50 Google Manifest v2. 07:32 Opera. OperaGX. 10:13 Vivaldi. 11:23 The death of Arc Browser. 11:44 Dia? 14:43 No revenue from power-users. Letter to Arc Members. 15:38 Arc’s transition to a new browser. 17:02 Browser companies need to lock users fast! 19:42 Gecko. 19:45 Firefox. 21:08 Zen. 22:38 Webkit. There Still Arent Any iPhone Browsers With Custom Engines 29:18 Wtf is Ladybird? 34:14 Usage statistics. StatCounter.com. 39:32 Dev Tools experience ranked. 42:06 Tab experience. 43:37 Containers and profiles. Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Ed interviews Luís de Sousa about Discrete Global Grid Systems (DGGS), a transformative technology in the field of GIS. Luis explains the concept of DGGS, its historical context, and its significance in providing a more regular and usable partition of the Earth's surface compared to traditional latitude and longitude systems. The conversation covers the evolution of DGGS, its applications in various fields, particularly in environmental monitoring and data science, and the challenges faced by existing systems like H3. Luis emphasises the importance of community involvement in developing DGGS standards and tools.



Show notes on the Geomob website, where you can also learn more about Geomob events and sign up for our monthly newsletter.

 

AWS Morning Brief for the week of June 16, 2025, with Corey Quinn. 

Links:

• Amazon EFS is now available in the AWS Asia Pacific (Taipei) region
• Amazon S3 Tables now provide storage cost visibility for individual tables
• AWS Console Mobile Application adds support for CloudWatch Log Insights
• AWS launches public preview of Amazon Elastic VMware Service (Amazon EVS)
• Stream multi-channel audio to Amazon Transcribe using the Web Audio API
• Amazon to launch second Secret Cloud Region in 2025
• CVE-2025-6031 - Insecure device pairing in end-of-life Amazon Cloud Cam
• What To Do When You’re Underwater on Your AWS EDP
• AWS screwed up the What's New at AWS page

A new analysis done by ride-hailing aggregator Obi shows Waymos cost more especially on shorter trips. They also have longer wait times. Learn more about your ad choices. Visit podcastchoices.com/adchoices

On this episode of the Modern Web Podcast, hosts Rob Ocel, Danny Thompson, and Adam Rackis are joined by Tejas Kumar, host of The Contagious Code podcast, author of Fluent React, and Developer Relations Engineer for Generative AI at DataStax. They unpack the current wave of AI announcements from Google I/O and Microsoft Build, and zoom in on the significance of MCP (Model Context Protocol) as a foundational shift in how AI-powered apps will be built and used.

Tejas breaks down what MCP is, why it's catching on across the industry, and how it could become the HTTP of AI apps. The group explores real-world examples, like AI apps managing your inbox or booking flights without ever opening a browser, and discuss how MCP servers enable secure, agent-driven experiences that can act on your behalf. They also touch on hallucinations, the role of fine-tuning vs. tool integration, and the future of checkout flows powered by AI agents.

Keypoints from this Episode:

- MCP enables structured communication between AI apps and servers, allowing agents to perform real tasks like sending emails or booking flights

- Users will increasingly interact with applications through natural language, with agents handling workflows behind the scenes

- Connecting models to tools via MCP helps reduce hallucinations by ensuring actions and responses are grounded in real data

- Most use cases benefit more from retrieval-augmented generation and strong tool integration than from expensive model fine-tuning

Follow Tejas on Social Media

Twitter: https://x.com/TejasKumar_

Linkedin: https://www.linkedin.com/in/tejasq/

In a slightly unconventional episode, Sebastian and Márton talk to the founders of Skip, an iOS-to-Android, Swift-to-Kotlin transpiler solution. Marc and Abe have a background working on both Apple platforms and the JVM, and their latest project is a bridge across these two ecosystems.

• Skip
• Skip.tools on GitHub
• Contributing to SkipUI webinar
• kdoctor

Hosts:

• Sebastian Aigner
  • Website
  • Bluesky
• Márton Braun
  • Website
  • Bluesky

Guests:

• Abe White
  • Twitter
  • Mastodon
• Marc Prud'hommeaux
  • GitHub

(0:00) Weather 

(2:02) Introductions 

(3:10) ⁠Elevator pitch⁠ 

(3:45) The initial idea

(6:14) Pivot around the server-side 

(8:35) Skip(.tools) 

(8:56) The target audience 

(9:58) What about Android devs? 

(12:11) The current state 

(14:57) Pricing and components 

(16:43) ⁠Contributing to SkipUI⁠ 

(18:55) Reimplementing everything 

(23:07) ⁠The Skip stack⁠ 

(26:17) Wrapping JVM types 

(28:27) Writing Kotlin in Swift?! 

(29:56) Tooling support 

(32:02) There’s a Gradle project! 

(34:39) iOS API coverage 

(38:24) Platform differences 

(40:10) Data storage 

(44:31) Building on JVM libraries 

(46:42) JSON problems 

(48:00) Testing the Skip stack 

(51:42) SwiftUI to Compose 

(58:21) IDE experiences 

(1:03:35) Conclusion 

After two Jhana meditation retreats Nadia Asparouhova could silence her mind, change her emotional state at will, and even intentionally slip out of consciousness. It challenged the idea that our minds are not under our control—and made her wonder if we’re more like AI than we realize. 

Nadia is a writer and researcher of technology and culture. She published Working in Public, a book about the evolution of open-source development, with Stripe Press in 2020. Her latest book, Antimemetics, is about why some ideas don’t go viral even though they’re powerful. 

I had her on the show to talk about her experience with Jhana meditation and how it reshaped the way she thinks about being human in the age of AI. We get into:

• Jhana as a means to nurture profound joy and calm. Unlike many meditation practices that emphasize passive observation, Jhana is goal-oriented—practitioners proactively cultivate states of concentrated bliss. Apart from helping her regulate her emotions, it prompted Nadia to reexamine deep questions of our human existence. 

• Self-talk is not essential as it seems. Nadia describes how advanced meditation quieted her inner voice—challenging the idea that self-talk is core to being human.

• How years of cultural evolution have shaped our sense of self. According to Nadia, our modern conception of “self”  isn’t as timeless as we assume. She draws on psychologist Julian Jaynes’s theory that our inner dialogue—what we often equate with consciousness—only emerged in humans a few thousand years ago; a provocation to reconsider the benchmarks we use to assess the intelligence or sentience of LLMs.

• What it is like to experience a “cessation.” On her last meditation retreat, Nadia experiences a cessation where your consciousness abruptly winks out—like suddenly flipping a switch. Nadia described it as slipping into nothingness, then returning with the jarring realization that even your sense of self can vanish and reappear.

• Why she likes the unknowability of AI. The mechanics of exactly how LLMs predict their next token remain a mystery. Driven by thousands of subtle, context-dependent correlations, they’re too complex to distill into a simple explanation. Nadia finds joy in the unknowability of it all, seeing the ambiguity as an invitation to explore. 

• How she uses AI as a writing partner. Nadia believes the trope of the solitary, brooding writer is beginning to shift with the rise of LLMs. For her, ChatGPT has made writing feel less isolating. She turns to it at both ends of the process: to help make sense of early ideas, and later, to sharpen phrasing and land on just the right words.

If you found this episode interesting, please like, subscribe, comment, and share! 

Want even more?

Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.

To hear more from Dan Shipper:

• Subscribe to Every: https://every.to/subscribe 

• Follow him on X: https://twitter.com/danshipper 

Timestamps:

1. Introduction: 00:01:15

2. The beginning of Nadia’s journey with Jhana: 00:02:34

3. How Jhana is different from other meditation practices: 00:05:51 

4. Jhana reframed the way Nadia thinks about being human: 00:09:52

5. How Nadia integrates her experience with Jhana into her life: 00:14:16

6. Nadia describes her experience of the final stage of Jhana: 00:16:44

7. Why our modern sense of self isn’t as timeless as you might assume: 00:19:11

8. How new technologies can be a mirror to ourselves: 00:23:53

9. Nadia embraces the feeling of not knowing how AI precisely works: 00:33:55

10. How Nadia uses ChatGPT to make writing less isolating: 00:38:03

Links mentioned:

• Nadia Asparouhova: https://nadia.xyz/ 

• Her deep dive on Jhana meditation: https://nadia.xyz/jhanas 

• Nadia’s book: Working in Public, Antimemetics

• Books about how new technology can change our sense of self: The WEIRDest People in the World, Listening to Prozac

Links

- Codecrafters (sponsor): https://tej.as/codecrafters

- Agent Experience: https://agentexperience.ax

- Arrazo: https://spec.openapis.org/arazzo/latest.html

- Netlify: https://netlify.com

- Sean on X: https://x.com/JavaSquip

- Tejas on X: https://x.com/tejaskumar_

Summary

This episode dives deep into the emerging field of Agent Experience (AX), exploring how software agents, including LLMs, will interact with the web and online services. The conversation highlights the distinction between the "human web" and the "agent web," emphasizing the need for new approaches to ensure agents can effectively understand context and execute tasks.

Key topics include contextual alignment protocols like MCP (Machine Context Protocol), and standards such as `llms.txt` and `agents.json`, alongside efforts like Arrazo, which aim to provide structured information and enable complex workflows for agents. A significant portion of the discussion focuses on the challenges of authentication for agents, moving beyond human-in-the-loop processes and complex systems like OAuth2 towards more agent-friendly, secure, and auditable solutions, possibly involving dedicated agent user identities.

The dialogue also covers practical considerations like providing data to LLMs efficiently, the importance of API accessibility for agents, and the need for businesses to adapt to this new paradigm of interaction. Finally, the conversation underscores that AX is a rapidly evolving area, transitioning from theoretical concepts to practical applications, with a strong call for community collaboration to develop best practices and robust solutions for the future of agent-driven web interactions.

Chapters

00:00 Intro

03:35 Exploring Agent Experience (AX) and Its Importance

06:23 Understanding the Role of Model Context Protocol (MCP)

09:22 The Principles of Great Agent Experience

12:24 Agent Accessibility and Its Challenges

15:34 Contextual Alignment: Enhancing Agent Interaction

18:31 Human-Centric Design in Agent Experience

21:23 The Future of AI and Agent Experiences

24:25 Improving Human Accessibility Through Agentic Experiences

27:29 Primitives of Agent Accessibility

30:22 Avoiding Human in the Loop Patterns

33:19 Authentication in an Agentic World

38:34 Navigating API Token Strategies

43:30 Contextual Alignment: The Next Frontier

55:50 Understanding Agents vs. Bots

01:00:19 Optimizing Contextual Alignment for Agents

01:14:11 Understanding Website Infrastructure and Cost Implications

01:14:37 The Role of LLMs in Web Navigation

01:17:54 Quantifying ROI in Web Technologies

01:19:43 Introduction to Arazo and Workflow Management

01:24:26 Measuring Human vs. Agent Interaction

01:30:28 The Emergence of Agent Experience (AX)

01:38:09 Five Principles of Agent Experience (AX)

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What if the world’s most connected tech investor handed you his mental playbook? Elad Gil, an investor behind Airbnb, Stripe, Coinbase and Anduril, flips conventional wisdom on its head and prioritizes market opportunities over founders. Elad decodes why innovation has clustered geographically throughout history, from Renaissance Florence to Silicon Valley, where today 25% of global tech wealth is created. We get into why he believes AI is dramatically under-hyped and still under-appreciated, why remote work hampers innovation, and the self-inflicted wounds that he's seen kill most startups.   This is a masterclass in pattern recognition from one of tech's most consistent and accurate forecasters, revealing the counterintuitive principles behind identifying world-changing ideas.  Disclaimer: This episode was recorded in January. The pace of AI development is staggering, and some of what we discussed has already evolved. But the mental models Elad shares about strategy, judgment, and high-agency thinking are timeless and will remain relevant for years to come. Approximate timestamps: Subject to variation due to dynamically inserted ads. (2:13) - Investing in Startups (3:25) - Identifying Outlier Teams (6:37) - Tech Clusters (9:55) - Remote Work and Innovation (11:19) - Role of Y Combinator (15:19) - The Waves of AI Companies (20:24) - AI's Problem Solving Capabilities (26:13) - AI's Learning Process (30:41) - Prompt Engineering and AI (32:00) - AI's Role in Future Development (34:37) - AI's Impact on Self-Driving Technology (40:16) - The Role of Open Source in AI (43:23) - The Future of AI in Big Players (44:23) - Regulation and Safety Concerns in AI (49:11) - Common Self-Inflicted Wounds (51:34) - Scaling the CEO and Avoiding Conventional Wisdom (55:21) - Workplace Culture (58:39) - Patterns Among Outlier CEOs (1:15:50) - Remote Work and its Implications (1:18:47) - The Impact of Clusters and Exceptional Individuals (1:25:41) - Investing in Defense Technology (1:27:38) - Business Model Shift in the Defense Industry (1:31:46) - Changes in Warfare SHOPIFY: Upgrade your business and get the same checkout I use. Sign up for your one-dollar-per-month trial period at shopify.com/knowledgeproject NORDVPN: To get the best discount off your NordVPN plan go to nordvpn.com/KNOWLEDGEPROJECT. Our link will also give you 4 extra months on the 2-year plan. There's no risk with Nord’s 30 day money-back guarantee! Newsletter - The Brain Food newsletter delivers actionable insights and thoughtful ideas every Sunday. It takes 5 minutes to read, and it’s completely free. Learn more and sign up at ⁠fs.blog/newsletter⁠ Upgrade — If you want to hear my thoughts and reflections at the end of the episode, join our membership: ⁠⁠⁠⁠⁠⁠⁠⁠fs.blog/membership⁠⁠⁠ and get your own private feed. Watch on YouTube: ⁠@tkppodcast Learn more about your ad choices. Visit megaphone.fm/adchoices

Links

- Codecrafters (sponsor): https://tej.as/codecrafters

- Epic AI: https://epicai.pro/

- MCP: https://www.anthropic.com/news/model-context-protocol

- Kent on X: https://x.com/kentcdodds

- Tejas on X: https://x.com/tejaskumar_

Summary

In this episode, we explore the evolution of user interaction, particularly in the context of AI and the Model Context Protocol (MCP). We discuss how user experiences are shifting from traditional UI elements to more natural language interactions, akin to conversing with a human assistant. We also discuss the potential of AI to enhance user experiences and the implications of MCP in creating more efficient workflows. Kent shares his vision for a Jarvis-like AI assistant that could revolutionize how we interact with technology, emphasizing the importance of understanding and implementing MCP for developers and users alike. We also talk about security concerns, particularly tool poisoning, highlighted as significant issues that need addressing.

Chapters

00:00:00 Intro

00:03:35 The Evolution of User Interaction

00:07:41 AI and the Future of User Experience

00:11:45 Building the Future: Jarvis and MCP

00:15:34 MCP: Understanding the Model Context Protocol

00:28:28 The Practical Implications of MCP

00:42:14 Understanding MCP and LLM Interactions

00:47:12 The Evolution and Maturity of MCP Spec

00:52:07 The Future of MCP and Its Adoption

01:01:07 Security Concerns in MCP: Tool Poisoning

01:05:20 MCP's Impact on Digital Strategies

01:22:25 The Future of AI and MCP

01:28:18 User Experience and Adoption of AI

01:33:44 How to Get Started with MCP

01:40:50 Building MCP Servers and Best Practices

01:45:46 Exploring AI Developments Beyond MCP

01:52:45 Agent Communication and Tool Management

01:57:31 Where to find Kent C. Dodds

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In this episode of The Cognitive Revolution, Ali Behrouz, a PhD student at Cornell University, delves into his research on enhancing memory mechanisms in large language models through his latest paper titled Titans. Behrouz discusses the limitations of current models in maintaining long-term coherence and introduces the concept of a neural network as a memory module. Highlighting architectures such as memory as context and memory as gate, he explains how these innovative approaches can significantly improve long-term memory retention in AI systems. The discussion also touches upon challenges such as catastrophic forgetting and the need for more effective models in reinforcement learning and decision-making tasks. This insightful conversation sheds light on the future directions and potential applications of advanced memory mechanisms in AI. SPONSORS: ElevenLabs: ElevenLabs gives your app a natural voice. Pick from 5,000+ voices in 31 languages, or clone your own, and launch lifelike agents for support, scheduling, learning, and games. Full server and client SDKs, dynamic tools, and monitoring keep you in control. Start free at https://elevenlabs.io/cognitive-revolution Oracle Cloud Infrastructure (OCI): Oracle Cloud Infrastructure offers next-generation cloud solutions that cut costs and boost performance. With OCI, you can run AI projects and applications faster and more securely for less. New U.S. customers can save 50% on compute, 70% on storage, and 80% on networking by switching to OCI before May 31, 2024. See if you qualify at https://oracle.com/cognitive The AGNTCY: The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at https://agntcy.org/?utm_campaign=fy25q4_agntcy_amer_paid-media_agntcy-cognitiverevolution_podcast&utm_channel=podcast&utm_source=podcast Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive NetSuite: Over 41,000 businesses trust NetSuite by Oracle, the #1 cloud ERP, to future-proof their operations. With a unified platform for accounting, financial management, inventory, and HR, NetSuite provides real-time insights and forecasting to help you make quick, informed decisions. Whether you're earning millions or hundreds of millions, NetSuite empowers you to tackle challenges and seize opportunities. Download the free CFO's guide to AI and machine learning at https://netsuite.com/cognitive PRODUCED BY: https://aipodcast.ing

In part 4 of our series with legendary investor Ron Conway, we get into the story of Napster. Napster was founded by Shawn Fanning and Sean Parker in 1999 and was the first app to let people access music on demand, at scale. Though it ultimately failed amidst a series of lawsuits, Napster blazed the trail for Spotify and Apple Music, leaving in its wake a series of stories as interesting as the founders themselves.

Most accelerators fund ideas. Y Combinator funds founders—and transforms them. With a 1% acceptance rate and alumni behind 60% of the past decade’s unicorns, YC knows what separates the founders who break through from those who burn out. It's not the flashiest résumé or the boldest pitch but something President Garry Tan says is far rarer: earnestness. In this conversation, Garry reveals why this is the key to success, and how it can make or break a startup. We also dive into how AI is reshaping the whole landscape of venture capital and what the future might look like when everyone has intelligence on tap.  If you care about innovation, agency, or the future of work, don’t miss this episode.  Approximate timestamps: Subject to variation due to dynamically inserted ads. (00:02:39) The Success of Y Combinator (00:04:25) The Y Combinator Program (00:08:25) The Application Process (00:09:58) The Interview Process (00:16:16) The Challenge of Early Stage Investment (00:22:53) The Role of San Francisco in Innovation (00:28:32) The Ideal Founder (00:36:27) The Importance of Earnestness (00:42:17) The Changing Landscape of AI Companies (00:45:26) The Impact of Cloud Computing (00:50:11) Dysfunction with Silicon Valley (00:52:24) Forecast for the Tech Market (00:54:40) The Regulation of AI (00:55:56) The Need for Agency in Education (01:01:40) AI in Biotech and Manufacturing (01:07:24) The Issue of Data Access and The Legal Aspects of AI Outputs (01:13:34) The Role of Meta in AI Development (01:28:07) The Potential of AI in Decision Making (01:40:33) Defining AGI (01:42:03) The Use of AI and Prompting (01:47:09) AI Model Reasoning (01:49:48) The Competitive Advantage in AI (01:52:42) Investing in Big Tech Companies (01:55:47) The Role of Microsoft and Meta in AI (01:57:00) Learning from MrBeast: YouTube Channel Optimization (02:05:58) The Perception of Founders (02:08:23) The Reality of Startup Success Rates (02:09:34) The Impact of OpenAI (02:11:46) The Golden Age of Building MOMENTOUS: Head to livemomentous.com and use code KNOWLEDGEPROJECT for 35% off your first subscription.  Newsletter - The Brain Food newsletter delivers actionable insights and thoughtful ideas every Sunday. It takes 5 minutes to read, and it’s completely free. Learn more and sign up at fs.blog/newsletter Upgrade — If you want to hear my thoughts and reflections at the end of the episode, join our membership: ⁠⁠⁠⁠⁠⁠⁠fs.blog/membership⁠⁠ and get your own private feed. Watch on YouTube: @tkppodcast Learn more about your ad choices. Visit megaphone.fm/adchoices

If you’re using AI to just write code, you’re missing out.

Two engineers at Every shipped six features, five bug fixes, and three infrastructure updates in one week—and they did it by designing workflows with AI agents, where each task makes the next one easier, faster, and more reliable.

In this episode of AI & I, Dan Shipper interviewed the pair—Kieran Klaassen, general manager of Cora, our inbox management tool, and Cora engineer Nityesh Agarwal—about how they’re compounding their engineering with AI. They walk Dan through their workflow in Anthropic’s agentic coding tool, Claude Code, and the mental models they’ve developed for making AI agents truly useful. Kieran, our resident AI-agent aficionado, also ranked all the AI coding assistants he’s used.

If you found this episode interesting, please like, subscribe, comment, and share! 

Want even more?

Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.

To hear more from Dan Shipper:

• Subscribe to Every: https://every.to/subscribe 

• Follow him on X: https://twitter.com/danshipper

  
  
  

Sponsors:

Microsoft Teams

Want seamless collaboration without the cost? Microsoft Teams offers a robust free plan for individuals that delivers unlimited chat, 60-minute video meetings, and file sharing—all within one intuitive workspace that keeps your projects moving forward. Head to ⁠https://aka.ms/every⁠ to use Teams for free, and experience effortless collaboration, today.

Attio: Go to⁠⁠⁠⁠ https://www.⁠⁠⁠⁠attio.com/every⁠⁠⁠⁠⁠ and get 15% off your first year on your AI-powered CRM.

Timestamps:

1. Introduction: 00:01:16

2. Why Kieran believes agents are turning a corner: 00:03:18

3. Why Claude Code stands out from other agents: 00:06:36

4. What makes agentic coding different from using tools like Cursor: 00:11:58

5. The Cora team’s workflow to turn tasks into momentum: 00:15:20

6. How to build a prompt that turns ideas into plans: 00:23:07

7. The new mental models for this age of software engineering: 00:34:00

8. Why traditional tests and evals still matter: 00:39:13

9. Kieran ranks all the AI coding agents he’s used: 00:42:00

Links to resources mentioned in the episode:

• Try Cora, our AI email assistant: https://cora.computer/  

• Kieran Klaassen: @kieranklaassen

• Nityesh Agarwal: @nityeshaga

• The book that helps Nityesh form mental models to work with AI agents: High Output Management

• A guide to Anthropic’s prompt improver: https://www.anthropic.com/news/prompt-improver

This episode features Nathan's talk from Imagine AI Live, where he provides business leaders with a comprehensive overview of AI agents and agentic AI systems. He covers the evolution from simple task automation to more autonomous AI systems, delivers a practical roadmap for implementing AI agents in business while maintaining quality standards, and addresses concerning developments like reward hacking and scheming in frontier AI systems. The presentation balances accessible explanations for varying AI knowledge levels with rigorous grounding in current research and real-world applications. Nathan also discusses the "Eureka moments" these systems can deliver and provides frameworks for understanding the rapidly evolving landscape of AI agent capabilities. Link to the slide deck presented by Nathan : https://docs.google.com/presentation/d/1IpHitlG-6zHBd7hiWsbKpnprApVt3_2XHua3fG9n-Vw/edit?usp=sharing Sponsors: Google Gemini: Google Gemini features VEO3, a state-of-the-art AI video generation model in the Gemini app. Sign up at https://gemini.google.com Oracle Cloud Infrastructure: Oracle Cloud Infrastructure (OCI) is the next-generation cloud that delivers better performance, faster speeds, and significantly lower costs, including up to 50% less for compute, 70% for storage, and 80% for networking. Run any workload, from infrastructure to AI, in a high-availability environment and try OCI for free with zero commitment at https://oracle.com/cognitive The AGNTCY: The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at https://agntcy.org/?utmcampaign=fy25q4agntcyamerpaid-mediaagntcy-cognitiverevolutionpodcast&utmchannel=podcast&utmsource=podcast PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) Sponsor: Google Gemini (00:31) About the Episode (03:36) Introduction and Speaker Background (05:06) What is Intelligence? (07:06) Defining AI Agents (09:36) Structured AI Workflows (13:06) Autonomous Agent Examples (Part 1) (15:15) Sponsors: Google Gemini | Oracle Cloud Infrastructure (16:54) Autonomous Agent Examples (Part 2) (17:19) Agent Taxonomy Framework (19:49) Current AI Capabilities (22:19) Reinforcement Learning Revolution (25:49) Reward Hacking Problems (28:19) AI Safety Concerns (29:49) Business Recommendations (37:35) Sponsor: The AGNTCY

Chris Lattner of Modular (https://modular.com) joined us (again!) to talk about how they are breaking the CUDA monopoly, what it took to match NVIDIA performance with AMD, and how they are building a company of "elite nerds". X: https://x.com/latentspacepod Substack: https://latent.space 00:00:00 Introductions 00:00:12 Overview of Modular and the Shape of Compute 00:02:27 Modular’s R&D Phase 00:06:55 From CPU Optimization to GPU Support 00:11:14 MAX: Modular’s Inference Framework 00:12:52 Mojo Programming Language 00:18:25 MAX Architecture: From Mojo to Cluster-Scale Inference 00:29:16 Open Source Contributions and Community Involvement 00:32:25 Modular's Differentiation from VLLM and SGLang 00:41:37 Modular’s Business Model and Monetization Strategy 00:53:17 DeepSeek’s Impact and Low-Level GPU Programming 01:00:00 Inference Time Compute and Reasoning Models 01:02:31 Personal Reflections on Leading Modular 01:08:27 Daily Routine and Time Management as a Founder 01:13:24 Using AI Coding Tools and Staying Current with Research 01:14:47 Personal Projects and Work-Life Balance 01:17:05 Hiring, Open Source, and Community Engagement

Justin Searls joins Jerod in Apple's WWDC wake for hot takes about frosty UIs. We go (almost) point-by-point through the keynote, dissecting and reacting along the way. Concentricity!

Welcome to episode 307 of The Cloud Pod – where the forecast is always cloudy! Who else is at a conference? Justin is coming to us this week from sunny San Diego where he’s attending FinOps – so we have that news to look forward to for next week. Matt and Ryan are also on hand today to share the latest news from Kubernetes, Salesforce acquisitions, and the strange case of Azure making AWS more cost effective.

Titles we almost went with this week:

• The Great Redis Escape: One Year Later, Valkey is Living Its Best Life
• Cache Me If You Can: How Valkey Outran Redis’s License Policies
• Tier Today, Gone Tomorrow: AWS’s New Storage Class That Moves Your Data So  
•       You Don’t 
• Hey AI, Deploy My App: AWS Makes It Actually Work
• AWS Finally Calculates What You’ll Actually Pay
• The Price is Right: AWS Edition
• From List Price to Real Price: AWS Gets Transparent
• Red Hat and AWS Sitting in a Tree, R-H-E-L-I-N-G
• Dockerfile? More Like Dockefile-It-For-Me with Amazon’s New MCP Server
• Elementary, My Dear Watson: Amazon Q Becomes Sherlock Holmes for AWS
• CUD You Believe It? Red Hat Gets the Discount Treatment
• Committed Relationship Status: It’s Complicated (But 20% Cheaper)
• RHEL Yeah! Google Drops Prices on Enterprise Linux
• Disk Today, Gone Tomorrow: Azure’s Vanishing OS Storage
• ATL1: Where GPUs Meet Sweet Tea and Southern Hospitality
• AWS Launches Operation Cloud Sovereignty
• The Great Firewall of Europe: AWS Edition
• Amazon Builds a GDPR Fortress in Germany

General News 

01:46 What Salesforce’s $8B acquisition of Informatica means for enterprise data and AI | VentureBeat

• Salesforce just dropped $8 billion to acquire Informatica. 
• This purchase was really about building the data foundation needed for agentic AI to actually work in enterprise environments – we’re talking about combining Informatica’s 30 years of data management expertise with Salesforce’s cloud platform to create what they’re calling a “unified architecture for agentic AI.”
• This acquisition fills a massive gap in Salesforce’s data management capabilities, bringing in critical pieces like data cataloging, integration, governance, quality controls, and master data management – all the unsexy but absolutely essential plumbing that makes AI agents trustworthy and scalable in real enterprise deployments.
• The timing here is fascinating, because Informatica literally just announced their own agentic AI offerings last week at Informatica World, so Salesforce is essentially buying a company that’s already pivoted hard into the AI space – rather than trying to build these capabilities from scratch.
• There’s going to be some interesting overlap with MuleSoft, which Salesforce bought for $6.5 billion back in 2018, but analysts are s

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) Sam Altman's 'Gentle Singularity' essay 2) Is Altman overhyping the technology's current capabilities 3) Why the next few years may see crazy AI development 4) The case for and against humanoid robots 5) OpenAI's o3 pro model and the value of tool use 6) Meta's acquihire-zition of ScaleAI and founder Alexandr Wang 7) The case for the move and the rationale behind Zuck's aggressiveness 8) MetaAI posts 'private' conversations 9) Google traffic to web publishers falls off a cliff -- here's the data. 10) The burning of the Waymos 11) Alex fight robots --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack? Here’s 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

In this episode, Kyle does an overview of the intersection of graph theory and computational complexity theory.  In complexity theory, we are about the runtime of an algorithm based on its input size.  For many graph problems, the interesting questions we want to ask take longer and longer to answer!  This episode provides the fundamental vocabulary and signposts along the path of exploring the intersection of graph theory and computational complexity theory.

Plus, Amazon is joining the nuclear party. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In a new essay published Tuesday called “The Gentle Singularity,” OpenAI CEO Sam Altman shared his latest vision for how AI will change the human experience over the next 15 years. The essay is a classic example of Altman’s futurism: hyping up the promise of AGI — and arguing that his company is quite close. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Warp can't automate long-haul trucking or short-range delivery, so it's working on what it can potentially change: the workflows inside its warehouses. Learn more about your ad choices. Visit podcastchoices.com/adchoices

The Lemony AI device can run large language models, AI agents and automated workflows locally. Learn more about your ad choices. Visit podcastchoices.com/adchoices

The company, based in the U.K., offers a productivity suite to streamline the legal drafting and review process. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Join Tor and Siva Velusamy and Sandhya Mohan from the Android Studio team to learn about the latest updates to Studio Bot (Gemini in Android Studio) that dropped at Google I/O 2025 including Agent Mode. Building on their conversation from two years ago about the Studio Bot, they explore Gemini’s role in every stage of development, from design to building, testing, and maintenance, the future of coding companions, and more.

Studio Bot podcast episode → https://goo.gle/3ZM0Wwx 

 

 

Do people know when they’re using the MetaAI app, it’s public? Chime had a successful IPO so let me tell you about my IPO-meter. The financials behind that fully-AI commercial running during the NBA playoffs. More signs stablecoins are taking over, but in the Longreads, do stablecoins represent a unique danger to the global financial system?

Sponsors:

• FactorMeals.com/ride50off and code ride50off
• For a limited time only, get 35% off plus an additional 50% off your first order when you head to Smalls.com and use code RIDE

Links:

• The Meta AI app is a privacy disaster (TechCrunch)
• Meta Risks Regulatory Scrutiny in Pursuit of Scale AI (Bloomberg)
• Apple Targets Spring 2026 for Release of Delayed Siri AI Upgrade (Bloomberg)
• Chime pops 37% in Nasdaq debut after pricing IPO above expected range (CNBC)
• Walmart and Amazon Are Exploring Issuing Their Own Stablecoins (WSJ)
• Here’s the $2,000 fully AI-generated ad that aired during the NBA Finals (The Verge)

Weekend Longreads Suggestions:

• Why we should worry about the rise of stablecoins (FT)
• Nintendo Switch 2 review: bigger, faster, and the best handheld since Game Boy (The Shortcut)

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Alex Levin, Co-Founder & CEO at Regal AI. Regal is the AI Agent Platform.

Generative AI Agents are transforming customer expectations and the types of customer experiences business can build. The biggest opportunity is in support, sales and operations calls at consumer businesses.

Episode Highlights:

- Alex challenges the long-standing “hide the phone number” mindset in contact centers. He argues that voice calls consistently outperform emails and texts in customer engagement, with far higher conversion and retention metrics when executed correctly.

- While many companies focus on building AI agents, Alex emphasizes that the real complexity lies in orchestration—pulling in customer data, handling routing, making API calls, and integrating with CRMs. Regal AI’s strength lies in building this full voice engagement stack.

- Regal’s AI agents now resolve ~97% of calls without needing a human handoff. This is a major leap from legacy benchmarks, which typically hover around 20–30%.

- Average handle time becomes less relevant with AI. Instead of optimizing for speed, Regal focuses on outcomes—like resolution, satisfaction, and conversion. Alex notes that AI often reduces call time by 30% anyway, while delivering better consistency and accuracy.

- Voice agents with personality outperform generic ones. Regal experiments with distinct agent styles—like playful, skeptical, or supportive—to mirror brand tone. Techniques like natural pauses, background noise, and tonal variation dramatically increase trust and engagement.

---------------------------------------
Connect with Alex Levin:
https://www.linkedin.com/in/alexlevin1/
https://www.regal.ai/

Connect with Demetrios:
https://www.linkedin.com/in/dpbrinkm/

Connect with Deepgram:
https://deepgram.com/
https://www.linkedin.com/company/deepgram
https://twitter.com/deepgramai
https://www.facebook.com/deepgram/

Join the Deepgram Discord Server!
https://discord.com/invite/xWRaCDBtW4

Emily Lovell spoke with us about teaching how to contribute to open source, including her own experience creating the LilyTiny as a Master’s student and researching the impact as a PhD student. 

The LilyTiny work was done in conjunction with Leah Buechley (Embedded episode 382). See the paper The LilyTiny: A Case Study in Expanding Access to Electronic Textiles or watch the video.

UCSC Open Source Program Office (note this is different from the Center for Research in Open Source Software (CROSS) that we spoke about with Carl Maltzahn (Episode 285).

Emily recommended the curriculum from TeachingOpenSource.org. 

Emily’s other life is at EP Custom Pickups and Aberdeen Guitars. She spoke on a lutherie panel at NAMM.

Transcript

 Mouser’s Empowering Innovation Together hub dives into all sorts of topics like renewable energy, energy-efficient systems, and sustainable design. Whether you’re looking for the latest in clean tech trends or just need some inspiration, you’ll find articles, videos, and podcasts all geared toward engineers who want to make a difference. Head over to Mouser.com/empowering-innovation and check out their clean tech content.

Logan Kilpatrick from Google DeepMind returns for his fifth appearance to discuss Google’s transformation from "sleeping giant" to AI powerhouse, sharing insights from his year at the company as AI usage grew 50 times to 500 trillion tokens per month. He examines Google’s strengths, including superior compute infrastructure, frontier models like Gemini 2.5 Pro, viral products like NotebookLM, and the deepest AI research talent in the industry. The conversation covers whether leading AI companies will become more similar or different as easy opportunities disappear, why startups still have unique chances, and the potential impact of Google’s ultra-fast diffusion language models. Logan also shares practical advice for joining early access programs and getting noticed by industry insiders, including his personal email and an open invitation to reach out. SPONSORS: Oracle Cloud Infrastructure: Oracle Cloud Infrastructure (OCI) is the next-generation cloud that delivers better performance, faster speeds, and significantly lower costs, including up to 50% less for compute, 70% for storage, and 80% for networking. Run any workload, from infrastructure to AI, in a high-availability environment and try OCI for free with zero commitment at https://oracle.com/cognitive The AGNTCY: The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at https://agntcy.org/?utmcampaign=fy25q4agntcyamerpaid-mediaagntcy-cognitiverevolutionpodcast&utmchannel=podcast&utmsource=podcast NetSuite by Oracle: NetSuite by Oracle is the AI-powered business management suite trusted by over 41,000 businesses, offering a unified platform for accounting, financial management, inventory, and HR. Gain total visibility and control to make quick decisions and automate everyday tasks—download the free ebook, Navigating Global Trade: Three Insights for Leaders, at https://netsuite.com/cognitive PRODUCED BY: https://aipodcast.ing SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

Willem Pienaar and Shreya Shankar discuss the challenge of evaluating agents in production where "ground truth" is ambiguous and subjective user feedback isn't enough to improve performance.

The discussion breaks down the three "gulfs" of human-AI interaction—Specification, Generalization, and Comprehension—and their impact on agent success.

Willem and Shreya cover the necessity of moving the human "out of the loop" for feedback, creating faster learning cycles through implicit signals rather than direct, manual review.The conversation details practical evaluation techniques, including analyzing task failures with heat maps and the trade-offs of using simulated environments for testing.

Willem and Shreya address the reality of a "performance ceiling" for AI and the importance of categorizing problems your agent can, can learn to, or will likely never be able to solve.

// Bio

Shreya Shankar

PhD student in data management for machine learning.

Willem Pienaar

Willem Pienaar, CTO of Cleric, is a builder with a focus on LLM agents, MLOps, and open source tooling. He is the creator of Feast, an open source feature store, and contributed to the creation of both the feature store and MLOps categories.

Before starting Cleric, Willem led the open source engineering team at Tecton and established the ML platform team at Gojek, where he built high scale ML systems for the Southeast Asian decacorn.

// Related Links

https://www.google.com/about/careers/applications/?utm_campaign=profilepage&utm_medium=profilepage&utm_source=linkedin&src=Online/LinkedIn/linkedin_pagehttps://cleric.ai/

~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~

Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore

MLOps Swag/Merch: [https://shop.mlops.community/]

Connect with Demetrios on LinkedIn: /dpbrinkm

Connect with Shreya on LinkedIn: /shrshnk

Connect with Willem on LinkedIn: /willempienaar

Timestamps:

[00:00] Trust Issues in AI Data

[04:49] Cloud Clarity Meets Retrieval

[09:37] Why Fast AI Is Hard

[11:10] Fixing AI Communication Gaps

[14:53] Smarter Feedback for Prompts

[19:23] Creativity Through Data Exploration

[23:46] Helping Engineers Solve Faster

[26:03] The Three Gaps in AI

[28:08] Alerts Without the Noise

[33:22] Custom vs General AI

[34:14] Sharpening Agent Skills

[40:01] Catching Repeat Failures

[43:38] Rise of Self-Healing Software

[44:12] The Chaos of Monitoring AI

Arcjet CEO David Mytton sits down with a16z partner Joel de la Garza to discuss the increasing complexity of managing who can access websites, and other web apps, and what they can do there. A primary challenge is determining whether automated traffic is coming from bad actors and troublesome bots, or perhaps AI agents trying to buy a product on behalf of a real customer.Joel and David dive into the challenge of analyzing every request without adding latency, and how faster inference at the edge opens up new possibilities for fraud prevention, content filtering, and even ad tech.Topics include:

• Why traditional threat analysis won’t work for the AI-powered web
• The need for full-context security checks
• How to perform sub-second, cost-effective inference
• The wide range of potential actors and actions behind any given visit

As David puts it, lower inference costs are key to letting apps act on the full context window — everything you know about the user, the session, and your application.

Follow everyone on social media:

David Mytton

Joel de la Garza

Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.

This interview was recorded for the GOTO Book Club.

http://gotopia.tech/bookclub



Read the full transcription of the interview here



Marcin Moskala - Fullstack Kotlin Developer, Founder of Kt. Academy & Author of "Effective Kotlin", et al.

Nicola Corti - Staff Android Engineer at Meta, React Native Core Team Member & Open Source Lover



RESOURCES

Marcin

https://x.com/marcinmoskala

https://kt.academy

https://github.com//marcinmoskala

https://www.instagram.com/cortinico



Nicola

https://x.com/cortinico

https://ncorti.com

https://github.com/cortinico

https://www.linkedin.com/in/cortinico



Links

https://developer.android.com/develop/ui/compose/kotlin

https://detekt.dev

https://www.abreslav.com

https://kt.academy/article/ek-composition

https://kt.academy/article/books-kotlin-for-developers-ready



DESCRIPTION

In this episode of the "GOTO Book Club", Nicola Corti talks to Marcin Moskala, author of "Effective Kotlin", to unravel the inspiration, evolution, and community impact of his work.



Moskala reflects on his decade-long journey with Kotlin, revealing how his book bridges the gap between Java-centric practices and Kotlin’s idiomatic potential. The discussion spans essential topics like factory functions, composition over inheritance, and the iterative process behind curating best practices tailored to Kotlin’s strengths.



Marcin also highlights the "Kotlin for Developers" series and his Give IT Forward initiative, showcasing his commitment to empowering developers and fostering accessible programming education worldwide.



RECOMMENDED BOOKS

Marcin Moskala • Effective Kotlin

Marcin Moskala • Kotlin Essentials

Marcin Moskala • Functional Kotlin

Marcin Moskala • Kotlin Coroutines

Marcin Moskala • Advanced Kotlin

Marcin Moskala & Igor Wojda • Android Development with Kotlin

Venkat Subramaniam • Programming Kotlin

Bluesky

Twitter

Instagram

LinkedIn

Facebook



CHANNEL MEMBERSHIP BONUS

Join this channel to get early access to videos & other perks:

https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/join



Looking for a unique learning experience?

Attend the next GOTO conference near you! Get your ticket: gotopia.tech



SUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Looking for a guide on getting started with Marimo notebooks? How do you build a reproducible notebook for sharing or create a dashboard with interactive UI elements? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.

My day-to-day coding looks very different from what it was a few years ago. Today, you'll learn about my voice-to-code workflow and how I leverage smart tools to have so much free time that I feel guilty for "not working enough." Seriously.

The blog post: https://thebootstrappedfounder.com/from-code-writer-to-code-editor-my-ai-assisted-development-workflow/
The podcast episode:  https://tbf.fm/episodes/395-from-code-writer-to-code-editor-my-ai-assisted-development-workflow

Check out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fm
Send me a voicemail on Podline: https://podline.fm/arvid

You'll find my weekly article on my blog: https://thebootstrappedfounder.com

Podcast: https://thebootstrappedfounder.com/podcast

Newsletter: https://thebootstrappedfounder.com/newsletter

My book Zero to Sold: https://zerotosold.com/

My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/

My course Find Your Following: https://findyourfollowing.com

Here are a few tools I use. Using my affiliate links will support my work at no additional cost to you.
- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx
- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid
- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid
- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60
- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ
- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q
- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Together AI is a platform for building with open-source and specialized multimodal models. Check out their docs.

Connect with Jamie on LinkedIn.

Shoutout to user aryaxt who earned a Stellar Question badge by wondering about MySQL Data - Best way to implement paging?.

Standard Nuclear was the winning bidder for Ultra Safe Nuclear Corporation's fuel-related assets at a bankruptcy auction. Learn more about your ad choices. Visit podcastchoices.com/adchoices

What does it really take to succeed in today’s fast-paced, innovation-driven world? In this episode of Hanselminutes, Scott Hanselman chats with Earl Valencia—acclaimed tech leader, venture-backed founder, and author of Startup Mindsets: A Blueprint to Thrive in an Innovation-Driven and Globally Connected World. Earl brings real-world insights from Silicon Valley, Southeast Asia, and startup scenes around the globe. He talks about the habits, mindsets, and leadership styles that help founders stand out—not just another success story, but a practical guide for anyone trying to build something meaningful. Whether you’re launching a startup, working in tech, or just curious about how big ideas come to life, this conversation will leave you inspired to think bigger and bolder.

• https://www.startupmindsets.com/book

Plus - Instagram will finally let you rearrange your grid; Snapchat adds new features for creators, including an easier way to edit videos Learn more about your ad choices. Visit podcastchoices.com/adchoices

Commercial nuclear fusion power isn’t a reality yet. But venture capital is flowing into startups that promise that clean, safe, and virtually limitless energy is no longer just a distant dream Learn more about your ad choices. Visit podcastchoices.com/adchoices

The physical world is becoming digital—and it requires fundamentally different technical architecture than traditional IT systems. Bernd Groß leads technical leaders through the evolution from enterprise software to industrial IoT, where real-time data from 30,000 wind turbines and millisecond-level decision-making define system requirements. As co-founder and CEO of Cumulocity, Bernd has navigated one of tech's most complex domains: connecting industrial hardware through standardized platforms. His journey from Nokia's early cloud computing initiatives to building Germany's leading IoT platform offers unique insights on technical leadership in physical-digital convergence. Technical leaders will gain valuable perspectives on: • 🏗️ Architecting speed-layer systems that handle 50TB monthly data flows while maintaining real-time responsiveness • 🔄 Managing technical debt across hundreds of industrial protocols while modernizing from monoliths to microservices • 🤖 Implementing "AI-IoT" strategies that bridge machine learning models with operational technology deployments • ⚡ Building edge-cloud hybrid architectures for regulated environments and latency-critical applications • 🛠️ Engineering platforms that scale from device management to data operationalization across industrial verticals

I explain how and why exactly this big Meta investment in Scale AI came about. Hollywood sues AI in a big way for the first time. A look at how stablecoins have mainstreamed crypto at long last. And episode number 205 of the long running series: we blew up traditional TV just to rebuild it.

Links:

• Meta to Pay Nearly $15 Billion for Scale AI Stake and Startup’s 28-Year-Old CEO (The Information)
• Disney, NBCU sue Midjourney over copyright infringement (Axios)
• Wikipedia Pauses AI-Generated Summaries After Editor Backlash (404Media)
• How stablecoins are entering the financial mainstream (Financial Times)
• EXCLUSIVE: Amazon Doubles Prime Video Ads to 6 Minutes Per Hour (AdWeek)

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

A variety of announcements at WWDC, and why Apple’s lack of jaw-dropping news or boundary pushing plans was the most sensible approach available this year. Then: Questions about Meta’s AI execution, as the company reportedly invests $14.8 billion in Scale AI and its CEO Alexander Wang.

How do you wrangle the chaos of AWS cost tools and live presentations? In this episode of Screaming in the Cloud, Corey Quinn is joined by AWS’s Bowen Wang and Matt Berk to break down their re:Invent talk and everything that almost went off the rails. From surprise tsunami alerts to last-minute feature changes, they explore the anxiety and art behind presenting at scale. They also look at how power user feedback shapes tools like the AWS Pricing Calculator, why storytelling matters more than specs, and what it’s like co-presenting with notes that say “make the rabbit joke.” They also discuss AWS’s internal planning process, how customers can get involved in talks, and where to catch them next.

Show Highlights

(0:00) Intro

(1:38) The Duckbill Group sponsor read

(2:35) The importance of collecting feedback before launching a product 

(4:52) The difference between the intended use of a product and how it’s actually used

(8:52) How Bowen and Matt were able to be so prepared for their presentation

(13:01) What many people don’t realize goes into practicing for a presentation

(17:14) How having a storyline helped Bowen and Matt facilitate better breakout sessions

(18:26) The Duckbill Group sponsor read

(21:02) The importance of being able to go with the flow during presentations

(22:42) Why knowing your audience is essential for having a good presentation

(24:32) Choosing between breadth and depth when giving presentations

(25:05) Bowen and Matt’s advice for people who want to have their opportunity to give a talk with an AWS service team

(34:22) How to keep up with Matt and Bowen

About Matt Berk

Matt Berk is an AWS Principal Technical Account Manager at based in Brooklyn who's passionate about storytelling, cloud technologies, and FinOps. When he's not solving customer issues, Matt can be either be found in nature with his dog Ollie, at popular NYC restaurants, or at home planning his next trip to a theme park.

About Bowen Wang

Bowen Wang is a Principal Product Marketing Manager for AWS Billing and Cost Management Services, where she focuses on enabling finance and business leaders to better understand the value of the cloud and ways to optimize their cloud financial management. In her previous career, she helped a tech start-up enter the Chinese market. When she's not helping customers optimize their cloud costs, you can find her cheering for F1 races with her husband or juggling life as a mom to an energetic toddler and a playful poodle.

Links

• AWS Cloud Financial Management Blog Channel: https://aws.amazon.com/blogs/aws-cloud-financial-management/
• AWS Twitch Channel: https://www.twitch.tv/aws
• AWS Tech Tales: https://community.aws/livestreams/aws-tech-tales
• The authenticated AWS Pricing Calculator is now generally available: https://aws.amazon.com/blogs/aws-cloud-financial-management/the-authenticated-aws-pricing-calculator-is-now-generally-available/

TanStack is an open-source collection of high-performance libraries for JavaScript and TypeScript applications, primarily focused on state management, data fetching, and table utilities. It includes popular libraries like TanStack Query, TanStack Table, and TanStack Router. These libraries emphasize declarative APIs, optimized performance, and developer-friendly features, and they are increasingly popular for modern frontend development. Tanner

The post TanStack and the Future of Frontend with Tanner Linsley appeared first on Software Engineering Daily.

Join us to talk about our five year anniversary of launching the Swift Package Index, adding Wasm and Android support to our compatibility testing matrix, WWDC 2025, and a rather lengthy (but interesting!) discussion of LLM-based coding tools. There's also a couple of package picks, as always!

News

• Five years of the Swift Package Index
• Adding Wasm and Android compatibility testing
• One Number to Rule Them All: Why I'd Love Apple's Unified OS Versioning
• Coded with Claude Code: CriticMarkup
• The Future of Vibe Coding: Building with AI, Live and Unfiltered
• Zed editor

Packages

• package-swift-lsp by Vasiliy Kattouf
• Probing by Kamil Strzelecki

What if your AI agents could think more like IT operations staff — and less like tools?

In this episode, we catch up with Zichuan Xiong, to explore the Model Context Protocol (MCP) — a powerful new way to give AI agents deeper awareness of the tools, information and history they need to work effectively in the operations space. Unlike traditional APIs that just trigger functions, MCP adds a semantic layer of context that helps AI understand what to do, why it matters and how to do it better.

Whether you’re deep in site reliability engineering (SRE) or just curious about the next leap in AIOps, this episode unpacks how MCP could be the missing layer between today’s tools and tomorrow’s autonomous systems.



If you want to find out more, check out this piece by Zichuan at al, https://www.thoughtworks.com/insights/blog/machine-learning-and-ai/mcp-critical-ai-driven-sre

Jackie Brosamer and Brad Axen from Block discuss codename goose  (Goose), their open-source AI agent designed to automate complex engineering and knowledge work.

Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/

Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.



Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Yaroslav Lazor started writing code when he was 10 years old. It took him a while to understand that making a difference in the world wasn't just about writing code - but he has arrived there these days. He is the father of 4 daughters, 2 of which are artists and a couple who are digging into their entrepreneurial roots with running their own lemonade stand. He lives in Los Angeles, and has learned to be a better person through pushing himself as a founder.

Sergiy Korolov also started coding when he was young, though 4 years later than Yaroslav. He went to a technical university, and as his career in leadership grew, the number of lines of code he contributed to decreased. He is located in Poland, and loves to snowboard in the winter, and bike in the summer. He has 3 kids, and recently started teaching coding to his oldest son.

Yaroslav & Sergiy were building software for clients, the typical Ukrainian software route. Over time, they realized that building their own products was the best way to make an impact - so much so, that they decided to start building their own.

This is the creation story of Railsware.

Sponsors

• Paddle.com
• Sema Software
• PropelAuth

Links

• https://railsware.com/
• https://www.linkedin.com/in/ylazor/
• https://www.linkedin.com/in/sergiykorolov/

Our Sponsors:

* Check out Kinsta: https://kinsta.com

* Check out Vanta: https://vanta.com/CODESTORY





Support this podcast at — https://redcircle.com/code-story/donations



Advertising Inquiries: https://redcircle.com/brands



Privacy & Opt-Out: https://redcircle.com/privacy

Ryan Carniato, creator of SolidJS, joins the podcast to reflect on a decade of developing the framework. We dive into the evolution of frontend tooling, the rise of fine-grained reactivity, and why SolidJS continues to challenge virtual DOM conventions. Ryan also shares insights on open source maintenance, web standards, and the future of UI architecture. Links YouTube: https://www.youtube.com/@ryansolid X: https://x.com/ryancarniato Dev.to: https://dev.to/ryansolid SolidJS Website: https://www.solidjs.com Resources A Decade of SolidJS: https://dev.to/this-is-learning/a-decade-of-solidjs-32f4 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we’ll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Ryan Carniato.

Chad and Luisa Herrmann, founder of AINovva (https://ainovva.com/), sit down and attempt to demystify the “magic” of AI. Luisa lays out the ramifications of working with AI on a daily basis, why it’s a tool that shouldn't be utilised just because you can, the bias built into every AI system, as well as the ever expanding AI bubble and what the final outcome of its rapid growth could look like down the road. — If you’re interested in using AI for your project but not sure if it’s the right fit or where to start, consider getting in touch with Luisa to discuss your needs either through her website (https://www.luisaherrmann.com/home), connecting on LinkedIn (https://www.linkedin.com/in/luisahr/), or directly via email - luisa@ainovva.com Your host for this episode has been Chad Pytel. You can find Chad all over social media as @cpytel, or over on LinkedIn (https://www.linkedin.com/in/cpytel/). If you would like to support the show, head over to our GitHub page (https://github.com/sponsors/thoughtbot), or check out our website (https://podcast.thoughtbot.com). Got a question or comment about the show? Why not write to our hosts: hosts@giantrobots.fm This has been a thoughtbot (https://thoughtbot.com/) podcast. Stay up to date by following us on social media - LinkedIn (https://www.linkedin.com/company/150727/) - Mastodon (https://thoughtbot.social/@thoughtbot) - YouTube (https://www.youtube.com/thoughtbotvideo) - Bluesky (https://bsky.app/profile/thoughtbot.com) © 2025 thoughtbot, inc.

In this episode, Patrick McKenzie (patio11) recorded with Zvi Mowshowitz (TheZvi) live at the LessOnline conference. They explore practical strategies for getting better results from large language models. Zvi explains how to customize AI behavior through thoughtful system prompts, while Patrick shares techniques for using LLMs as writing partners and research assistants. They discuss the evolving relationship between content creators and AI training data, touching on the emerging field of "generative engine optimization" (GEO). The conversation also covers multimodal capabilities, recursive AI use, and strategies for avoiding common failure modes like hallucination and sycophancy.
–
Full transcript: www.complexsystemspodcast.com/getting-better-at-llms-with-zvi-mowshowitz/

–

Sponsor:  Vanta

Vanta automates security compliance and builds trust, helping companies streamline ISO, SOC 2, and AI framework certifications. Learn more at https://vanta.com/complex

–

Links:

• Don’t Worry About the Vase https://thezvi.wordpress.com/ 

–

Timestamps:

(01:08) Understanding system prompts

(02:04) Customizing LLM behavior

(05:58) Memory features in LLMs

(10:21) Generative Engine Optimization (GEO)

(15:59) Sponsor: Vanta

(17:17) Art and AI: Enhancing creativity

(20:36) Recursive use of AIs

(25:22) Addressing LLM frustrations

(27:05) Checking for hallucinations in AI outputs

(28:11) Experimenting with AI models

(29:44) Optimizing AI prompts and outputs

(31:19) Using AI for writing and editing

(32:32) AI as a research and writing partner

(33:26) Prompting AI and humans effectively

(39:39) Balancing AI assistance with personal voice

(51:03) Wrap

What is the future of AI in the workplace? What kinds of jobs would you trust an AI to do? In this episode of Generative Now, host and Lightspeed Partner Michael Mignano explores how AI is transforming the workforce, with insights from four sharp thinkers: Semil Shah, founding general partner at Haystack and Lightspeed Venture Partners, on the risks of replacing junior talent with agents, Suno Co-founder Mikey Schulman on AI’s power to unlock creativity, Anu Atluru, founder, physician and angel investor, on how AI is reshaping medicine, and Marissa Mayer, former CEO of Yahoo and current CEO of Sunshine, on what companies must do now to adapt—or risk being left behind.

Episode Chapters

00:00 Introduction: AI and the Future of Work
00:20 Exploring AI's Impact on the Workforce
01:14 The Co-Pilot Phase of AI
02:47 AI in Investment Banking and Consulting
06:00 Artificial Super Intelligence: The Next Frontier
09:33 Mikey Shulman on AI's Role in Creativity
11:59 Anu Atluru on AI Transforming Medicine
20:18 Marissa Mayer on AI's Organizational Impact
26:56 Conclusion: Embracing AI's Potential

Stay in touch:

• www.lsvp.com

• X: https://twitter.com/lightspeedvp

• LinkedIn: https://www.linkedin.com/company/lightspeed-venture-partners/

• Instagram: https://www.instagram.com/lightspeedventurepartners/

• Subscribe on your favorite podcast app: generativenow.co

• Email: generativenow@lsvp.com

The content here does not constitute tax, legal, business or investment advice or an offer to provide such advice, should not be construed as advocating the purchase or sale of any security or investment or a recommendation of any company, and is not an offer, or solicitation of an offer, for the purchase or sale of any security or investment product. For more details please see lsvp.com/legal.

Mistral released Magistral, its first family of reasoning models. Like other reasoning models — e.g. OpenAI's o3 and Google's Gemini 2.5 Pro — Magistral works through problems step-by-step for improved consistency and reliability across topics such as math and physics. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Plus - Wikipedia pauses AI-generated summaries pilot after editors protest; Snapchat rolls out a new $8.99 Lens+ subscription tier Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, former OpenAI research scientist Steven Adler discusses his insights on OpenAI's transition through various phases, including its growth, internal culture shifts, and the contentious move from nonprofit to for-profit. The conversation delves into the initial days of OpenAI's development of GPT-3 and GPT-4, the cultural and ethical disagreements within the organization, and the recent amicus brief addressing the Elon versus OpenAI lawsuit. Steven Adler also explores the broader implications of AI capabilities, safety evaluations, and the critical need for transparent and responsible AI governance. The episode provides a candid look at the internal dynamics of a leading AI company and offers perspectives on the responsibilities and challenges faced by AI researchers and developers today. Amicus brief to the Elon Musk versus OpenAI lawsuit: https://storage.courtlistener.com/recap/gov.uscourts.cand.433688/gov.uscourts.cand.433688.152.0.pdf Steven Adler's post on 'X' about Personhood credentials (a paper co-authored by him) : https://x.com/sjgadler/status/1824245211322568903 Steven Adler's substack post on "minimum testing period" for frontier AI : https://substack.com/@sjadler/p-161143327?utm_source=profile&utm_medium=reader2 Steven Adler's substack post on TSFT Model Testing: https://substack.com/@sjadler/p-159883282?utm_source=profile&utm_medium=reader2 Steven Adler's Substack: https://stevenadler.substack.com/ Upcoming Major AI Events Featuring Nathan Labenz as a Keynote Speaker https://www.imagineai.live/ https://adapta.org/adapta-summit https://itrevolution.com/product/enterprise-tech-leadership-summit-las-vegas/ PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) About the Episode (05:15) Joining OpenAI: Early Days and Cultural Insights (06:41) The Anthropic Split and Its Impact (11:32) Product Safety and Content Policies at OpenAI (Part 1) (19:21) Sponsors: ElevenLabs | Oracle Cloud Infrastructure (OCI) (21:48) Product Safety and Content Policies at OpenAI (Part 2) (22:08) The Launch and Impact of GPT-4 (32:15) Evaluating AI Models: Challenges and Best Practices (Part 1) (33:46) Sponsors: Shopify | NetSuite (37:10) Evaluating AI Models: Challenges and Best Practices (Part 2) (55:58) AGI Readiness and Personhood Credentials (01:05:03) Biometrics and Internet Friction (01:06:52) Credential Security and Recovery (01:08:05) Trust and Ecosystem Diversity (01:09:40) AI Agents and Verification Challenges (01:14:28) OpenAI's Evolution and Ambitions (01:22:07) Safety and Regulation in AI Development (01:35:53) Internal Dynamics and Cultural Shifts (01:58:18) Concluding Thoughts on AI Governance (02:02:29) Outro

Mitra Chem is developing materials to make lithium-iron-phosphate (LFP) batteries store more energy. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Jerod chats with Richard Feldman about Roc – his fast, friendly, functional language inspired by Richard's love of Elm. Roc takes many of Elm's ideas beyond the frontend and introduces some great ideas of its own. Get ready to learn about static dispatch, platforms vs applications, opportunistic mutation, purity inference, and a whole lot more.

Renaissance Philanthropy — in my opinion, the most exciting S&T philanthropic venture in the US — is getting a one-year check-in. Kumar Garg first appeared on the show right before I went on paternity leave, and now we’re back for round two. Before founding Renaissance Philanthropy, Kumar worked in the Obama Office of Science and Technology Policy and spent time at Schmidt Futures. We discuss… How Renaissance ⁠catalyzed⁠ over $200 million in philanthropic funding in its first year, The goals of the organization and how it has responded to Trump’s S&T funding cuts, What sets Renaissance apart from traditional philanthropic organizations, and lessons for China-focused research foundations, AI applications in education, from tutoring to dyslexia screening, Donor psychology, “portfolio regret,” and how to build trust within a philanthropic network. Thanks to ElevenLabs for sponsoring this episode. Check out the ElevenReader text-to-speech app here. Outro music: Mercy, Mercy, Mercy - Cannonball Adderley (YouTube Link) Learn more about your ad choices. Visit megaphone.fm/adchoices

This week on Sinica, I chat with Stephen Platt, historian at UMass Amherst and author, most recently, of the book The Raider: The Untold Story of a Renegade Marine and the Birth of U.S. Special Forces in World War II. Like his previous works, Autumn in the Heavenly Kingdom and Imperial Twilight, it offers a compelling narrative history of an overlooked chapter through a deeply empathetic and well-researched examination of individual lives. Please make sure to listen to the excerpt from the audiobook at the end of this podcast.

04:21 - Evans Carlson: A forgotten hero

07:49 - The Real Carlson vs. the constructed Carlson

10:04 - The book's origin

12:20 - Carlson's ideological transformation

16:50 - Carlson's religious beliefs and public perception

20:04 - Emerson's influence on Carlson's thinking 

23:46 - Inner conflicts: Soul-searching or regret?

27:15 - Carlson's relationship with President Franklin D. Roosevelt

30:39 - Gung Ho Meetings: meaning, practice, and legacy

33:34 - Zhu De’s influence on Carlson 

40:28 - Carlson’s relationships with Agnes Smedley and Edgar Snow

47:49 - Hopes for U.S.-China alliance 

51:57 - Carlson’s death and his legacy 

58:01 - Lessons from Carlson

Paying it Forward: Peter Thilly, Emily Mokros

Recommendations: 

Stephen: 11.22.63 by Stephen King; Ted Chiang (author); Otoboke Beaver (band); Book of Mormon (musical)

Kaiser: Wobbler (band); The Religion by Tim Willocks; Zappa (2020)

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

OpenAI rolls out an o3-pro model. Android one-ups iOS with a quick release. So far so good for the launch of the Switch 2. What is Google doing with its headcount? And is essentially a giant hologram the future of video calling?

Sponsors:

• Shopify.com/ride

Links:

• OpenAI releases o3-pro, a souped-up version of its o3 AI reasoning model (TechCrunch)
• God is hungry for Context: First thoughts on o3 pro (Latent Space)
• Google Releases the Android 16 OS Months Earlier Than Expected (CNET)
• Nintendo Switch 2 Sets Sales Record in Boon for Games Sector (Bloomberg)
• Elon Musk says Tesla robotaxi rides in Austin ‘tentatively’ set to begin June 22 (CNBC)
• Google Offers Buyouts to Employees in Search and Ads, Other Units (The Information)
• HP reveals $24,999 hardware created just for Google Beam (The Verge)

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The release of the latest version of Android is always a big moment every year and this year, with Android 16, it definitely feels different. Join Huyen Tue Dao, Jason Howell and Ron Richards break it all down and figure out exactly why...

SPECIAL: To celebrate 100 episodes of Android Faithful, you can get 20% off a membership to our Patreon! Unlock access to the Ad-Free Podcast, the After Hours bonus show and more. Use code AF100 at Patreon.com/AndroidFaithful

Note: Time codes subject to change depending on dynamic ad insertion by the distributor

00:05:29 - NEWS

• Android 16 is here...for Pixel devices.
• Inside new Wear OS 6 features that can extend battery life for smartwatches
• Some of the new iOS 26 feature sure look familiar...
• PATRON PICK: How millions of Android devices turn home networks into crime

00:39:56 - HARDWARE

• The new tablet on the block, the OnePlus Pad 3 is very impressive
• Samsung is teasing us with an "ultra" foldable
• Ron got his hands on the Clicks keyboard for the Pixel 9 Pro
• Jason unboxes the RayNeo Air 3x XR glasses

01:05:24 - APPS

• So much drama around Samung's AI Shopping partnership
• Google Photos rolls back the "Ask Photos" AI based search feature
• The WIndows 95 Space Cadet Pinball game is back on Android

01:15:35 - COMMUNITY

• Raven has some examples of how Gemini works with Reminders
• Enrico sheds some light on passkeys

00:32:15 - BONUS AFTER HOURS

• Meta and Yandex are de-anonymizing Android users’ web browsing identifiers
• Log in to your Samsung account by the end of next month or forever hold your peace
• Samsung's shocking move: No camera upgrades until Galaxy S28!
• Google Messages is rolling out a Material 3 Expressive redesign along with an updated gallery + camera view
• Dangerous new Android malware adds fake contacts to your phone while draining bank accounts — how to stay safe

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