47:27
Apple’s Stumble, Amazon’s Surge and Anthropic’s Hacks | Bloomberg Tech 7/31/2026
Bloomberg Technology's live program from July 31, 2026 covers a packed day of major tech earnings and AI industry developments. Apple...
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18:05
What’s Next After RLHF? — Diogo Almeida, TypeSafe AI
Diogo Almeida, co-author of GPT-4, ChatGPT, and InstructGPT — the papers that effectively invented post-training as a discipline — de...
20:14
Agents at Scale: Inside MiniMax’s Model and the Infrastructure Behind It — Olive Song
This AI Engineer panel brings together Olive Song, research lead for reinforcement learning at MiniMax, and Dan, VP of Kernels at Tog...
19:05
Data Quality Is the Compute Multiplier — Ari Morcos, DatologyAI
Ari Morcos, CEO and co-founder of DatologyAI, opens the data quality track at AI Engineer with a data-rich argument that better train...
14:45
GPT-5.6 just made itself CHEAPER
Matthew Berman breaks down OpenAI's sweeping price cuts across the GPT-5.6 model family and argues the mechanism behind the cuts is m...
01:20:16
Decagon’s Playbook for Building Enterprise AI Applications
In this a16z studio interview, Decagon co-founders walk through the hard-won lessons behind building enterprise-grade AI customer sup...
31:00
Patrick Collison: “What If You Succeed?”
Stripe CEO Patrick Collison sits down with Harj Taggar at Y Combinator's Startup School 2026 for a wide-ranging conversation that use...
14:30
The Week: The Hidden Debt Behind the AI Boom
The Prof G Pod's weekly breakdown for July 31, 2026 centers on a trio of converging macro-level risks for the AI industry. The lead s...
18:07
Scaling to Long Horizons — Ross Taylor & Chengxi Taylor, General Reasoning
Ross Taylor, CEO of General Reasoning and former reasoning lead at Meta AI, co-presents with co-founder Chengxi at AI Engineer on wha...
17:45
The Base Model Is Dead — Varun Singh, Arcee AI
Varun Singh, pre-training lead at Arcee AI, argues that the traditional base model — defined by massive web-text ingestion as in GPT-...