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  • Lowering the Cost of Intelligence With NVIDIA's Ian Buck - Ep. 284

    2 DAYS AGO

    1

    Lowering the Cost of Intelligence With NVIDIA's Ian Buck - Ep. 284

    Discover how mixture‑of‑experts (MoE) architecture is enabling smarter AI models without a proportional increase in the required compute and cost. Using vivid analogies and real-world examples, NVIDIA’s Ian Buck breaks down MoE models, their hidden complexities, and why extreme co-design across compute, networking, and software is essential to realizing their full potential.  Learn more: https://blogs.nvidia.com/blog/mixture-of-experts-frontier-models/

    2 days ago

    •
    38 min
  • TWiT Best 0f 2025 - 2025's Best Moments on TWiT

    2 DAYS AGO

    2

    TWiT Best 0f 2025 - 2025's Best Moments on TWiT

    AI video generation TWiT turns 20 Harper Reed on vibe-coding Job loss and AI Apple's iPhone 16 event Amy Webb's crazy husband talks about his anonymous computer Host: Leo Laporte Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsor: zscaler.com/security

    2 days ago

    •
    1h 21m
  • Video Recommendations in Industry

    5 DAYS AGO

    3

    Video Recommendations in Industry

    In this episode, Kyle Polich sits down with Cory Zechmann, a content curator working in streaming television with 16 years of experience running the music blog "Silence Nogood." They explore the intersection of human curation and machine learning in content discovery, discussing the concept of "algatorial" curation—where algorithms and editorial expertise work together. Key topics include the cold start problem, why every metric is just a "proxy metric" for what users actually want, the challenge of filter bubbles, and the importance of balancing familiarity with discovery. Cory shares insights on why TikTok's algorithm works so well (clean data and massive interaction volume), the crucial role of homepage curation, and how human curators help by contextualizing content, cleaning data, and identifying positive feedback loops that algorithms might miss. The conversation covers practical challenges like measuring "surprise and delight," the content deluge created by democratized creation tools, and why trust in tech companies is essential for better personalization. Cory emphasizes that discovery is "a good type of friction" and explains how the CODE framework (Capture, Organize, Distill, Express, plus Analysis) guides professional curation work. Looking to the future, they discuss the need for systems thinking that creates narrative connections between content, the potential for conversational AI to help users articulate preferences, and why diverse perspectives beyond engineering are crucial for building effective discovery systems. Resources mentioned include the newsletter "Top Information Retrieval Papers of the Week" and Notebook LM for synthesizing research.

    5 days ago

    •
    38 min
  • 952: How to Avoid Burnout and Get Promoted, with “The Fit Data Scientist” Penelope Lafeuille

    5 DAYS AGO

    4

    952: How to Avoid Burnout and Get Promoted, with “The Fit Data Scientist” Penelope Lafeuille

    “The Fit Data Scientist” newsletter author Pénélope Lafeuille talks to Jon Krohn about how to give your all at work, offering her top tips for a healthy body and a healthy mind. Learn why “The SuperDataScience Podcast” made it onto her top 3 data science podcasts, and why following your passion can pay off in dividends for your career. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/952⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

    5 days ago

    •
    31 min
  • Rethinking Pre-Training for Agentic AI with Aakanksha Chowdhery

    17 DEC

    5

    Rethinking Pre-Training for Agentic AI with Aakanksha Chowdhery

    Today, we're joined by Aakanksha Chowdhery, member of technical staff at Reflection, to explore the fundamental shifts required to build true agentic AI. While the industry has largely focused on post-training techniques to improve reasoning, Aakanksha draws on her experience leading pre-training efforts for Google’s PaLM and early Gemini models to argue that pre-training itself must be rethought to move beyond static benchmarks. We explore the limitations of next-token prediction for multi-step workflows and examine how attention mechanisms, loss objectives, and training data must evolve to support long-form reasoning and planning. Aakanksha shares insights on the difference between context retrieval and actual reasoning, the importance of "trajectory" training data, and why scaling remains essential for discovering emergent agentic capabilities like error recovery and dynamic tool learning. The complete show notes for this episode can be found at https://twimlai.com/go/759.

    17 Dec

    •
    53 min
  • Are Your Parents Addicted to Their Screens?

    5 DAYS AGO

    6

    Are Your Parents Addicted to Their Screens?

    Are your parents addicted to their phone? In this episode of Galaxy Brain, Charlie Warzel explores how technology is affecting an older generation of adults. Instead of a phone-based childhood, Warzel suggests, we may be witnessing the emergence of a phone-based retirement—one shaped by isolation, algorithmic feeds, and platforms never designed with aging users in mind. To untangle whether this is a genuine crisis or a misplaced moral panic, Warzel speaks with Ipsit Vahia, chief of geriatric psychiatry at Mass General Brigham’s McLean Hospital in Massachusetts and a leading researcher on technology and aging. Vahia emphasizes that older adults are anything but a single category, and that screen use can be both protective and harmful depending on context. The key, Vahia argues, is resisting reflexive judgment. Ultimately, this is an issue not of screens versus humans, but of how families navigate connection in a world where attention is mediated by devices in every age group. Get more from your favorite Atlantic voices when you subscribe. You’ll enjoy unlimited access to Pulitzer-winning journalism, from clear-eyed analysis and insight on breaking news to fascinating explorations of our world. Atlantic subscribers also get access to exclusive subscriber audio in Apple Podcasts. Subscribe today at TheAtlantic.com/Listener. Learn more about your ad choices. Visit megaphone.fm/adchoices

    5 days ago

    •
    58 min
  • #463: 2025 is @wrapped

    22 DEC

    7

    #463: 2025 is @wrapped

    Topics covered in this episode: Has the cost of building software just dropped 90%? More on Deprecation Warnings How FOSS Won and Why It Matters Should I be looking for a GitHub alternative? 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 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. HEADS UP: We are taking next week off, happy holiday everyone. Michael #1: Has the cost of building software just dropped 90%? by Martin Alderson Agentic coding tools are collapsing “implementation time,” so the cost curve of shipping software may be shifting sharply Recent programming advancements haven’t been that great of a true benefit: Cloud, TDD, microservices, complex frontends, Kubernetes, etc. Agentic AI’s big savings are not just code generation, but coordination overhead reduction (fewer handoffs, fewer meetings, fewer blocks). Thinking, product clarity, and domain decisions stay hard, while typing and scaffolding get cheap. Is it the end of software dev? Not really, see Jevons paradox: when production gets cheaper, total demand can rise rather than spending simply falling. (Historically: the efficiency of coal use led to the increased consumption of coal) Pushes back on “only good for greenfield” by arguing agents also help with legacy code comprehension and bug-fixing. I 100% agree. #Legacy code for the win. Brian #2: More on Deprecation Warnings How are people ignoring them? yep, it’s right in the Python docs: -W ignore::DeprecationWarning Don’t do that! Perhaps the docs should give the example of emitting them only once -W once::::DeprecationWarning See also -X dev mode , which sets -W default and some other runtime checks Don’t use warn, use the @warnings.deprecated decorator instead Thanks John Hagen for pointing this out Emits a warning It’s understood by type checkers, so editors visually warn you You can pass in your own custom UserWarning with category mypy also has a command line option and setting for this --enable-error-code deprecated or in [tool.mypy] enable_error_code = ["deprecated"] My recommendation Use @deprecated with your own custom warning and test with pytest -W error Michael #3: How FOSS Won and Why It Matters by Thomas Depierre Companies are not cheap, companies optimize cost control. They do this by making purchasing slow and painful. FOSS is/was a major unlock hack to skip procurement, legal, etc. Example is months to start using a paid “Add to calendar” widget! It “works both ways”: the same bypass lowers the barrier for maintainers too, no need for a legal entity, lawyers, liability insurance, or sales motion. Proposals that “fix FOSS” by reintroducing supply-chain style controls (he name-checks SBOMs and mandated processes) risk being rejected or gamed, because they restore the very friction FOSS sidesteps. Brian #4: Should I be looking for a GitHub alternative? Pricing changes for GitHub Actions The self-hosted runner pricing change caused a kerfuffle. It’s has been postponed But… if you were to look around, maybe pay attention to These 4 GitHub alternatives are just as good—or better Codeburg, BitBucket, GitLab, Gitea And a new-ish entry, Tangled Extras Brian: End of year sale for The Complete pytest Course Use code XMAS2025 for 50% off before Dec 31 Writing work on Lean TDD book on hold for holidays Will pick up again in January Michael: PyCharm has better Ruff support now out of the box, via Daniel Molnar This is from the release notes of 2025.3: "PyCharm 2025.3 expands its LSP integration with support for Ruff, ty, Pyright, and Pyrefly.” If you check out the LSP section it will land you on this page and you can go to Ruff. The Ruff doc site was also updated. Previously it was only available external tools and a third party plugin, this feels like a big step. Fun quote I saw on ExTwitter: May your bug tracker be forever empty. Joke: Try/Catch/Stack Overflow Create a super annoying linkedin profile - From Tim Kellogg, submitted by archtoad

    22 Dec

    •
    43 min
  • Beyond chatbots: Agents that tackle your SOPs

    17 DEC

    8

    Beyond chatbots: Agents that tackle your SOPs

    As AI reshapes the workplace, employees and leaders face questions about meaningful work, automation, and human impact. In this episode, Jason Beutler, CEO of RoboSource, shares how companies can rethink workflows, integrate AI in accessible ways, and empower employees without fear. The discussion covers leveraging AI to handle routine tasks (SOPs or "plays") and reimagining work for smarter, more human-centered outcomes. Featuring: Jason Beutler – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsor: Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at framer.com/design with code `PRACTICALAI` for a free month of Framer Pro.Upcoming Events:  Register for upcoming webinars here!

    17 Dec

    •
    46 min
  • How Anyone Can Build Meaningful AI Without Code - Ep. 283

    17 DEC

    9

    How Anyone Can Build Meaningful AI Without Code - Ep. 283

    Empromptu CEO Shanea Leven shares how her company helps people without coding experience build meaningful, production-ready AI applications — fast and accurately. Powered by NVIDIA CUDA, Empromptu’s “AI that builds AI” platform is making cutting-edge technology accessible to all, enabling creators to turn bold ideas into real-world impact. Listen to the full show archive at ai-podcast.nvidia.com

    17 Dec

    •
    40 min
  • BIG INTV: CTO Elizabeth Stone On The Future of Netflix: “Personalized, Interactive, Immersive”

    23 DEC

    10

    BIG INTV: CTO Elizabeth Stone On The Future of Netflix: “Personalized, Interactive, Immersive”

    Netflix CTO Elizabeth Stone is an anomaly. Instead of coding, she spent her twenties getting a PhD in economics. She quietly rose through the ranks in Silicon Valley and is now responsible for leading Netflix’s technology push towards live programming. In this candid conversation, Stone discusses the value of failure, the power behind genuine curiosity, and why she can’t pick her favorite Love is Blind couple. - Join WIRED’s best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices

    23 Dec

    •
    43 min

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