27:52
OpenAI just SOLVED MATH….
OpenAI has announced that an unreleased internal reasoning model has disproved the Erdős unit distance conjecture — a problem in disc...
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25:27
AI Dev 26 x SF | Manos Koukoumidis & Stefan Webb: VibeML: Build your AI model in hours, not months
Manos Koukoumidis and Stefan Webb introduce VibeML and its UMIE agent platform at AI Dev SF 2026, making the case that enterprises ar...
21:05
AI Dev 26 x SF | Andrew K. Davies: Deterministic Memory: How to Build an AI That Cannot Lie
At AI Dev SF 2026, Andrew K. Davies, CEO of onmemory.ai, delivers a talk centered on a provocative premise: every AI conversation beg...
06:02
Ross Gerber Says AI Efficiency Gains Already ‘Amazing’
Ross Gerber, CEO of Gerber Kawasaki Wealth Management, sits down with Bloomberg Technology to share his bullish long-term thesis on A...
01:47:27
we are NOT PREPARED for the end of 2026
Wes Roth and co-host Dylan deliver a wide-ranging AI industry podcast covering the most significant developments from the week of Goo...
12:29
Nvidia’s Huang Is ‘Dunking’ on Competition, Luria Says
Gil Luria, head of technology research at DA Davidson, and Joe Kaiser, CEO of Switchyard Partners, join Bloomberg Technology to disse...
14:33
Google Just Changed Forever. Here’s Why…
The AI Advantage delivers a hands-on, practical assessment of Google's major AI releases from Google IO 2026, focusing specifically o...
18:02
Fast Models Need Slow Developers — Sarah Chieng, Cerebras
Sarah Chang, Head of Developer Experience at Cerebras, argues that the arrival of ultra-fast AI coding models demands a fundamental r...
15:01
My Honest Review of Google’s AI Strategy After I/O
Peter Yang, a product leader and Google-sponsored creator, shares a candid strategic assessment of Google's AI direction after attend...
36:18
AI Dev 26 x SF | Tom Howlett: Can LLMs Generate Enterprise Quality Code?
Tom Howlett from Sonar examines what he calls the \"enterprise quality gap\"—the growing divergence between the speed at which LLMs g...