Category: 3-SometimeTechTalk

We have another two-for-one special this week, with two more interviews from the floor of re:Invent. First, Ryan welcomes Pathway CEO Zuzanna Stamirowska and CCO Victor Szczerba to dive into their development of Baby Dragon Hatchling, the first post-transformer frontier model, from how continual learning and memory will transform AI to the real-world use cases for longer LLM attention span. 

In the second part of this episode, Ryan is joined by Rowan McNamee, co-founder and COO of Mary Technology, to discuss bringing AI into the carefully governed world of litigation and how LLMs are helping lawyers manage and interpret the vast amounts of legal evidence that pass across their desks every day.

Episode notes: 

Pathway is building the first post-transformer frontier model that solves for attention span and continual learning.

Mary Technology is an AI for attorneys that turns evidentiary documents into structured, easy-to-review facts.

Connect with Zuzanna on LinkedIn and Twitter. 

Reach out to Victor at his email: victor@pathway.com 

Connect with Rowan on LinkedIn.

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TRANSCRIPT

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Today, we have a special guest on the podcast, Keith Lucas, a startup advisor specializing in product, growth, people and culture. Keith led product and engineering at Roblox, helping scale its infrastructure, product offerings, team and business. Most recently, Keith published a book entitled Impact: How to Inspire, Align, and Amplify Innovative Teams. All book proceeds go to charities to help young entrepreneurs, so make sure you check the link in the notes and grab the book today.

In our chat, Keith is going to walk us through key concepts in the book, surrounding centering your team around the vision and mission of what you are driving towards, from recruiting to execution to "coaching out".

Questions:

• What was your goal in writing this book? What were you hoping to accomplish?
• In Chapter 1, you mention purpose inspiring action. How does aligning to purpose drive urgency, without resulting in burnout or being an "antiquated mandate", like you mention in Chapter 2?
• You state "Culture is what you do, not what you say"... How does a leader's daily behavior - especially around micromanagement or decision-making speed - define the team's realized values, overriding the company's codified ones?
• I found the idea of The Cascade (Chapter 5) interesting, mapping core beliefs to execution alignment. In terms of feedback, what is the difference between "belief busting" and "hypothesis busting" feedback? How should leaders respond to each in order to maintain trust and agility?
• How often should entrepreneurial teams deliberately challenge and re-org autonomous pods to optimize for agility and opportunity, over long term stability?
• Now this is interesting - the "okay contributor", you define as a person who meets standards in all areas but shows no exceptionalism. Why is this person more damaging to a culture of mastery, than the high talent disrupter?
• What is a Mission Athlete? When recruiting, how does preparing a vision doc for a role shift the recruiting conversation from transactional to one focused on strategic alignment and ownership?
• You mention in Chapter 8 that compensation can be a distraction. What core mistakes do scaling startups make with compensation that turn it from a non-issue into an energy-sapping problem that erodes retention?
• You define Coaching Out as the intentional process of protecting the productive from the disruptive, treating an exit as a non-personal assessment that maintains decency and clarity. Can you describe the GYOR continuum?
• Why should leaders avoid formal PIP's when dealing with a struggling team member? What must replace it to ensure accountability and decency?

Sponsors

• TECH Domains
• Mezmo
• Braingrid.ai
• Alcor
• Equitybee
• Terms and conditions: Equitybee executes private financing contracts (PFCs) allowing investors a certain claim to ESO upon liquidation event; Could limit your profits. Funding in not guaranteed. PFCs brokered by EquityBee Securities, member FINRA.

Links

• https://keithvlucas.com/
• https://a.co/d/fYjiHmh
• https://www.linkedin.com/in/kvlucas/

Support this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donations

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Joelle Pineau is the chief AI officer at Cohere. Pineau joins Big Technology Podcast to discuss where the cutting edge of AI research is headed — and what it will take to move from impressive demos to reliable agents. Tune in to hear why memory, world models, and more efficient reasoning are emerging as the next big frontiers, plus what current approaches are missing. We also cover the “capability overhang” in enterprise AI, why consumer assistants still aren’t lighting the world on fire, what AI sovereignty actually means, and whether the major labs can ever pull away from each other. Hit play for a cool-headed, deeply practical look at what’s next for AI and how it gets deployed in the real world.

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Arto Minasyan is originally from Armenia. He's a serial entrepreneur, having started 7 companies, selling 4 of them. He used to be into the sciences, having his PhD in Mathematics and Machine Learning. But outside of tech, he's married with 2 kids. He loves to read novels, and in fact writes books himself (mainly his memoirs). He loves to ski, and aligned with his Armenian heritage, he loves to spend time with his big family.

Arto and his colleague got breakfast together, and started talking through an idea around clean audio for conferencing and beyond. They built a prototype, and then COVID hit - which made their tool very popular.

This is the creation story of Krisp.ai.

Sponsors

• Unblocked
• TECH Domains
• Mezmo
• Braingrid.ai
• Alcor
• Equitybee
• Terms and conditions: Equitybee executes private financing contracts (PFCs) allowing investors a certain claim to ESO upon liquidation event; Could limit your profits. Funding in not guaranteed. PFCs brokered by EquityBee Securities, member FINRA.

Links

• https://krisp.ai/
• https://www.linkedin.com/in/artominasyan/

Support this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donations

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

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

Topics covered in this episode:

• django-bolt: Faster than FastAPI, but with Django ORM, Django Admin, and Django packages
• pyleak
• More Django (three articles)
• Datastar
• Extras
• Joke

Watch on YouTube

About the show

Sponsored by us! Support our work through:

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• Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky)
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Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 11am PT. Older video versions available there too.

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Brian #1: django-bolt : Faster than FastAPI, but with Django ORM, Django Admin, and Django packages

• Farhan Ali Raza
• High-Performance Fully Typed API Framework for Django
• Inspired by DRF, FastAPI, Litestar, and Robyn
• Django-Bolt docs
• Interview with Farhan on Django Chat Podcast
• And a walkthrough video

Michael #2: pyleak

• Detect leaked asyncio tasks, threads, and event loop blocking with stack trace in Python. Inspired by goleak.
• Has patterns for
  • Context managers
  • decorators
• Checks for
  • Unawaited asyncio tasks
  • Threads
  • Blocking of an asyncio loop
  • Includes a pytest plugin so you can do @pytest.mark.no_leaks

Brian #3: More Django (three articles)

• Migrating From Celery to Django Tasks
  • Paul Taylor
  • Nice intro of how easy it is to get started with Django Tasks
• Some notes on starting to use Django
  • Julia Evans
  • A handful of reasons why Django is a great choice for a web framework
    • less magic than Rails
    • a built-in admin
    • nice ORM
    • automatic migrations
    • nice docs
    • you can use sqlite in production
    • built in email
  • The definitive guide to using Django with SQLite in production
    • I’m gonna have to study this a bit.
    • The conclusion states one of the benefits is “reduced complexity”, but, it still seems like quite a bit to me.

Michael #4: Datastar

• Sent to us by Forrest Lanier

• Lots of work by Chris May

• Out on Talk Python soon.

• Official Datastar Python SDK

• Datastar is a little like HTMX, but

  • The single source of truth is your server

  • Events can be sent from server automatically (using SSE)

    • e.g

      yield SSE.patch_elements(
          f"""{(#HTML#)}{datetime.now().isoformat()}"""
      )
      

• Why I switched from HTMX to Datastar article

Extras

Brian:

• Django Chat: Inverting the Testing Pyramid - Brian Okken
  • Quite a fun interview
• PEP 686 – Make UTF-8 mode default
  • Now with status “Final” and slated for Python 3.15

Michael:

• Prayson Daniel’s Paper tracker
• Ice Cubes (open source Mastodon client for macOS)
• Rumdl for PyCharm, et. al
• cURL Gets Rid of Its Bug Bounty Program Over AI Slop Overrun
• Python Developers Survey 2026

Joke: Pushed to prod

Two guests for the price of one! This episode has two interviews recorded at AWS re:Invent back in December. In part 1, Ryan chats with the co-founder and CEO of Inception, Stefano Ermon, about diffusion language models and how their multiple token generation compares to traditional LLMs (spoiler: they’re faster and more accurate). In the second half of the episode, Ryan and the chairman of Roomie, Aldo Luevano, dive into Roomie’s purpose built models for both physical and software AI, and how their ROI-first approach helps companies track the impact of their robotics and AI implementation. 

Episode notes: 

Inception researches and builds diffusion language models for faster and more efficient AI.

Roomie is a robotics and enterprise AI company with an ROI-first platform that tracks how well their AI solutions are actually working. 

Connect with Stefano on LinkedIn.

Connect with Aldo on LinkedIn.

TRANSCRIPT

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M.G. Siegler of Spyglass is back for our monthly tech news discussion. M.G. joins us to discuss Moltbook, the new Reddit-style social network where 150,000 AI agents are chatting, upvoting, and even proposing their own private language to keep humans out. Tune in to hear whether this is a preview of the singularity or just elaborate role-play—and why the security vulnerabilities are genuinely concerning. We also cover NVIDIA quietly backing away from its $100 billion OpenAI deal, Apple's record quarter that Wall Street shrugged off, and OpenAI's race to IPO before Anthropic (with Elon potentially beating them both). Hit play for a conversation about where AI is heading and what it means when the bots start talking to each other.

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M.G. Siegler of Spyglass is back for our monthly tech news discussion. M.G. joins us to discuss Moltbook, the new Reddit-style social network where 150,000 AI agents are chatting, upvoting, and even proposing their own private language to keep humans out. Tune in to hear whether this is a preview of the singularity or just elaborate role-play—and why the security vulnerabilities are genuinely concerning. We also cover NVIDIA quietly backing away from its $100 billion OpenAI deal, Apple's record quarter that Wall Street shrugged off, and OpenAI's race to IPO before Anthropic (with Elon potentially beating them both). Hit play for a conversation about where AI is heading and what it means when the bots start talking to each other.

Learn more about your ad choices. Visit megaphone.fm/adchoices

Financial Times San Francisco Bureau Chief Stephen Morris joins for our weekly discussion of the latest tech news. We cover: 1) Anthropic's $20 billion fundraising round 2) OpenAI is looking at $100 billion in funding 3) Amazon alone might put $50 billion in OpenAI 4) When does the money run out? 5) The rise of Clawdbot/Moltbot 6) Meta and Microsoft beat on earnings but go in separate directions 7) The market has no idea what to do with the AI trade 8) Apple's historic quarter 9) Amazon lays off 16,000 10) SpaceX IPO in June? 11) Why a SpaceX and xAI merger could make sense

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