Category: 3-SometimeTechTalk

Demis Hassabis is the CEO of Google DeepMind. Hassabis joins Big Technology Podcast to discuss where AI progress really stands today, where the next breakthroughs might come from, and whether we’ve hit AGI already. Tune in for a deep discussion covering the latest in AI research, from continual learning to world models. We also dig into product, discussing Google’s big bet on AI glasses, its advertising plans, and AI coding. We also cover what AI means for knowledge work and scientific discovery. Hit play for a wide-ranging, high-signal conversation about where AI is headed next from one of the leaders driving it forward. 

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David Sztykman lives in Paris, but used to live in New York for a time. He has always been into video, streaming and photography. For the latter, as a kid, his Dad had a film developing lab in their basement, so he spent many hours doing that before digital changed it all. As a student, he used to tinker with open source video streaming libraries, and eventually worked for Alkamai, responsible for the streaming media for Europe (think the Olympics or Super Bowl). Outside of tech, he has 2 kids and they like to do a lot of legos together. But in general, they are outside kids so usually, they like to get out of the house and do active things.

In his prior role, David was consistently alerted about poor performance on the video streaming. He started to dig into the data streaming portion of, to be alerted on shifts in the stream itself. After a few other opportunities, he was approached to build real time CDN observability, for distributed infrastructure.

This is the creation story of Hydrolix.

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://hydrolix.io/
• https://www.linkedin.com/in/davidsztykman/

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Cristiano Amon is the CEO of Qualcomm. Amon joins Big Technology to discuss what the AI device of the future looks like—and why he thinks the next wave of personal computing will move beyond the smartphone. Tune in to hear his vision for AI-powered glasses and wearables, what a truly useful agent experience requires, and why he believes the “winner at the edge” will shape the AI race. We also cover AI PCs and what will actually drive adoption, Qualcomm’s push into AI inference in the data center, the state of robotics and industrial AI, and where China may be pulling ahead. Hit play for a Davos-front-row conversation on where AI is heading next—and the chips and constraints that will determine how fast it gets there.

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Pukar Hamal was born in 1991, and is originally from Katmandu, Nepal. He grew up with no plumbing and no electricity, prior to moving to the states to grow up in Queens. Eventually, he moved to the Bay Area to attend Stanford, and fell in love with the area and the forward thinking culture. Outside of tech, he's been married for a few years. He enjoys listening to podcast about tech, finance, and economics, along with playing tennis every now and again.

In his past venture, Pukar was on the one yard line for making a deal on his company. Before it could close, his team was hit with a security due diligence questionnaire that halted the process. Having that experience drove him to build something to speed up the execution and experience of customer assurance.

This is the creation story of SecurityPal AI.

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://www.securitypalhq.com/
• https://www.linkedin.com/in/pukarhamal

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Ryan welcomes Prakash Chandran, CEO and co-founder of Xano, to the show to discuss the intricate relationship between frontend and backend development, the potential challenges that universal frontend interfaces pose for developers, and the importance of understanding both your frontend and your backend when using AI code. 

Episode notes: 

Xano is a no-code backend platform that lets you build systems with visual logic, APIs, and modular AI components. Check out their tutorials on YouTube. 

Connect with Prakash on LinkedIn. 

User Bruno Bronosky is the winner of today’s shoutout and a Stellar Answer badge for their answer to How do I parse command line arguments in Bash?.

TRANSCRIPT

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

Topics covered in this episode:

• Better Django management commands with django-click and django-typer
• PSF Lands a $1.5 million sponsorship from Anthropic
• How uv got so fast
• PyView Web Framework
• Extras
• Joke

Watch on YouTube

About the show

Sponsored by us! Support our work through:

• Our courses at Talk Python Training
• The Complete pytest Course
• Patreon Supporters

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 11am 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: Better Django management commands with django-click and django-typer

• Lacy Henschel
• Extend Django <code>manage.py</code> commands for your own project, for things like
  • data operations
  • API integrations
  • complex data transformations
  • development and debugging
• Extending is built into Django, but it looks easier, less code, and more fun with either <code>django-click</code> or <code>django-typer</code>, two projects supported through Django Commons

Michael #2: PSF Lands a $1.5 million sponsorship from Anthropic

• Anthropic is partnering with the Python Software Foundation in a landmark funding commitment to support both security initiatives and the PSF's core work.
• The funds will enable new automated tools for proactively reviewing all packages uploaded to PyPI, moving beyond the current reactive-only review process.
• The PSF plans to build a new dataset of known malware for capability analysis
• The investment will sustain programs like the Developer in Residence initiative, community grants, and infrastructure like PyPI.

Brian #3: How uv got so fast

• Andrew Nesbitt
• It’s not just be cause “it’s written in Rust”.
• Recent-ish standards, PEPs 518 (2016), 517 (2017), 621 (2020), and 658 (2022) made many uv design decisions possible
• And uv drops many backwards compatible decisions kept by pip.
• Dropping functionality speeds things up.
  • “Speed comes from elimination. Every code path you don’t have is a code path you don’t wait for.”
• Some of what uv does could be implemented in pip. Some cannot.
• Andrew discusses different speedups, why they could be done in Python also, or why they cannot.
• I read this article out of interest. But it gives me lots of ideas for tools that could be written faster just with Python by making design and support decisions that eliminate whole workflows.

Michael #4: PyView Web Framework

• PyView brings the Phoenix LiveView paradigm to Python
• Recently interviewed Larry on Talk Python
• Build dynamic, real-time web applications using server-rendered HTML
• Check out the examples.
  • See the Maps demo for some real magic
• How does this possibly work? See the LiveView Lifecycle.

Extras

Brian:

• Upgrade Django, has a great discussion of how to upgrade version by version and why you might want to do that instead of just jumping ahead to the latest version. And also who might want to save time by leapfrogging
  • Also has all the versions and dates of release and end of support.
• The Lean TDD book 1st draft is done.
  • Now available through both pythontest and LeanPub
    • I set it as 80% done because of future drafts planned.
  • I’m working through a few submitted suggestions. Not much feedback, so the 2nd pass might be fast and mostly my own modifications. It’s possible.
  • I’m re-reading it myself and already am disappointed with page 1 of the introduction. I gotta make it pop more. I’ll work on that.
  • Trying to decide how many suggestions around using AI I should include.
    • It’s not mentioned in the book yet, but I think I need to incorporate some discussion around it.

Michael:

• Python: What’s Coming in 2026
• Python Bytes rewritten in Quart + async (very similar to Talk Python’s journey)
• Added a proper MCP server at Talk Python To Me (you don’t need a formal MCP framework btw)
  • Example one: latest-episodes-mcp.png
  • Example two: which-episodes-mcp.webp
• Implmented /llms.txt for Talk Python To Me (see talkpython.fm/llms.txt )

Joke: Reverse Superman

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) Gemini's case as undisputed AI leader 2) Google and Apple ink a deal for Gemini to fix Siri 3) Is all this AI going to hurt Google's business model? 4) Who will be better at AI ads: Google or OpenAI? 5) Google Gemini's Personal Intelligence 6) Exits at Thinking Machines Lab 7) Is Thinking Machines toast? 8) Claude work arrives! It's Claude Code for non-coders 9) Are we in the age of the empowered individual? 10) Harness Hive stand up!

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From the floor at AWS re:Invent, Ryan is joined by AWS Senior Principal Engineer David Yanacek to chat about all things AWS, from the truth behind AWS’s Black Friday origin mythos to the development of essential cloud tools like SQS and DynamoDB. Plus, how David envisions autonomous agents will ease developers' operational burdens.

Episode notes:

This episode was recorded live at AWS re:Invent. Listen to our other episodes from the floor with the Stack Overflow team and Corey Quinn. 

Keep up with the latest AWS updates, including what they’re doing with AI, at their site.

Connect with David on Linkedin and Twitter.  

TRANSCRIPT

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

Harman Narula lives in NYC with his wife and 2 young kids. He was born in the states, from parents who immigrated to the country from India. The "immigrant household" was one that focused on hard work and ethics - and it was fueled by the lore of his grandfather's entrepreneurial adventures. He's a big Knicks fan, and likes to take in a game when he can. And prior to NYC, he lived in San Francisco for 10 years or so, and picked up bike riding. Though he hasn't picked it back up just yet, he hopes to eventually.

Harman spent a lot of his early career in hospitality. His now co-founder worked in this space as well, but primarily on the technology size. So all the conversations he and his friend were having were referencing this eco-system. Eventually, they landed on a thesis that the "hotel tech stack" or operating system - should be customer facing.

This is the creation story of Canary Technologies.

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://www.canarytechnologies.com/
• https://www.linkedin.com/in/harmansn/

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

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In this episode of Leaders of Code, Stack Overflow Chief of Product and Technology Jody Bailey chats with Matt Lyteson, CIO of Technology Platform Transformation at IBM, about the processes and challenges of adopting AI within an enterprise environment. They explore IBM's strategic approach to integrating AI into workflows and emphasise the importance of fostering the right behaviours among employees, particularly regarding automation and AI assistance.

The discussion also:

• Explores what it means for a company like IBM to truly embrace AI, with Lyteson sharing strategies for integrating AI into every workflow to maximize productivity across the organization. 
• Highlights key challenges like data privacy, security risks, and the critical need for workforce reskilling in an AI-enabled world.

Notes

• Connect with Matt Lyteson on LinkedIn.

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