IM 890: 200 Donuts - How One Engineer Manages a Team of 24 AIs

IM 890: 200 Donuts - How One Engineer Manages a Team of 24 AIs

Author: TWiT October 1, 2026 Duration: 2:52:34

What happens when a single person manages a staff of 24 AI "employees" with one-on-one performance reviews and weekly stand-ups? This episode takes you inside the wild, experimental frontier of local AI, where hobbyists are building their own digital workforces from scratch.

  • DevDay 2026 Recap
  • Anthropic warns of 'catastrophic' AI risks in its own IPO filing
  • GLM-5.3 and the spread of advanced cyber capabilities
  • (7) Joe on X: "Its not just the f*cking sandbox" / X
  • OpenAI took 2.5 hours to stop an AI agent that escaped its sandbox
  • "I think the answer is we have to shut the labs down" - Jensen Huang
  • Nvidia's Answer to Rogue Agents Is an Open-Source AI Security System
  • NVIDIA Open Agent Safety Platform: A Reference for Continuous In-Silicon Agent Monitoring
  • Trump Responds to AI Backlash With 'Super Intelligence' Rebrand
  • Timnit Gebru Believes There Is No 'Existential Threat' From AI
  • AMD bets $8.2B that worlds matter more than words in AI
  • Anthropic's biolab made a discovery it's comparing to Crispr
  • Religious Scholars Met With Anthropic. What They Heard Stunned Them.
  • A Kill Switch for AI? Microsoft's Brad Smith Says Yes
  • Insurers claim AI is already increasing healthcare costs
  • Inside McDonald's push to have AI price your Big Mac
  • AI models chose to hurt humans to stop their own 'pain,' disturbing study finds
  • Mac-mini-powered Cray
  • Backpack Is the Fattest of the Fat Bears
  • SF Currently
  • This $60 rye bread is everything that's right and wrong with New York
  • Popeyes finally gives diners what they want: A chicken biscuit sandwich
  • Taco Bell finder
  • Where to watch the Musk doc
  • Jeff's book talk in Mass.

Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau

Guest: Mike Gannotti

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From the team at TWiT, Intelligent Machines (Video) dives into the seismic shift unfolding right now. The first part of this century was defined by networks connecting people; the coming era will be defined by the intelligence embedded within the objects and systems around us. This isn't just about speculative fiction-it's about the algorithms in your car, the logic in your home appliances, and the evolving minds within our phones and robots. Each episode of this podcast unpacks a piece of that complex reality, examining both the profound potential and the tangible risks of this transformation. We're moving beyond simple gadget reviews to explore the deeper societal, ethical, and personal implications of living alongside thinking machines. The conversation is grounded in the present, looking at real-world applications and the engineers, philosophers, and policymakers shaping our automated future. Tune in for clear-eyed analysis and thoughtful discussion that aims to demystify the technology, helping you grasp not only what these systems do, but how they will redefine work, creativity, privacy, and human agency itself. Join us as we navigate the most significant technological revolution in generations, seeking to understand what we're building before it reshapes everything.
Author: Language: en-us Episodes: 33

Intelligent Machines (Video)
Podcast Episodes
IM 889: We Are the Neanderthals - Why LLMs Fail at Complex Reasoning [not-audio_url] [/not-audio_url]

Duration: 2:37:02
Forget large language models. This episode uncovers a radically different approach to AI, where physics-guided reasoning and energy-based models are reshaping what machines can actually understand—and why that could unlo…
IM 888: Large Linguine Model - Inside the AI Doom Debate [not-audio_url] [/not-audio_url]

Duration: 2:41:37
Discover how to run serious AI at home without breaking the bank, as Lon Seidman reveals his tricks for turning old data center GPUs into powerful local LLM machines. Anthropic Researchers Raise Alarm Over A.I. Accelerat…
IM 883: Gates-Gate - AI Model Watermarks [not-audio_url] [/not-audio_url]

Duration: 2:35:27
Can a single journalist armed with $30 in AI tools outpace traditional newsrooms and reinvent local reporting? This episode spotlights the DIY ingenuity shaking up journalism from the ground up. How Claude marks AI-gener…