IM 894: Ghosting Meta Muse - Will Cloud Spending Sink AI's Biggest Players?
Intelligent Machines (Audio)Show Notes
Is the AI gold rush running on shaky ground? Get the inside story on Anthropic's blockbuster IPO, massive compute bets, and why some insiders think the industry's economics just don't add up.
Anthropic's IPO S-1 Spells Out a Future of Promise and Peril
DeepMind unveils Genie 4 world model promising more realistic physics and humans
(Marissa Meyer) Maybe We All Need an A.I. Wife
Whoops: Meta's Muse Share Links Disclosed All Sorts Of Super-Sensitive User Data
Everybody is freaking out over the NYTimes adding AI to the Cooking app
Wikipedia but only for things a half hour walk away from you
Rest of World faces prospect of shutting down
"WSJ: The Bull Case for AI Armageddon
For investors mulling the Anthropic share offering, a 10% chance of extinction may be a 90% win for your portfolio"
Hosts: Jeff Jarvis and Paris Martineau
Co-Host: Jason Hiner
Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines.
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
Sponsors: framer.com/machines
gusto.com/machines
PaloAltoNetworks.com/Idira
doppel.com
More from Intelligent Machines (Audio)
From AI-generated Halloween scares to personal assistants that just won't quit, the age of at-home intelligence is here. But with each new feature, your privacy, security, and digital autonomy hang in the balance.
GitHub's developer relations VP, Martin Woodward, reveals just how dramatically AI agents are reshaping who codes, what gets built, and why open source maintainers are overwhelmed by a tidal wave of pull requests. If you thought Copilot was disruptive, wait until you hear what's coming next.
From deleting critical files to oversharing your banking details in Slack, today's AI agents are proving both incredibly helpful and hilariously unpredictable. Hear what actually happens when AI gets a little too persistent and why transparency about their actions matters more than ever.
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.
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 unlock breakthroughs mainstream AIs keep missing.