28:10
New Deepseek, Seedance 2.5, Minimax H3, Gemini Robotics, AMD models: AI NEWS
AI Search delivers a dense weekly roundup covering an unusually active period across multiple AI verticals. The biggest model news: B...
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57:07
Jeff Dean: The 1% Rule for Building in AI
Y Combinator sits down with Jeff Dean—co-creator of MapReduce, Bigtable, TensorFlow, and the TPU, and a driving force behind Google's...
01:08:35
The $1/Hour Robot Is Coming: Four Industry Leaders Explain What’s Next
Recorded at Machina, a Paris conference focused on real-world AI deployment, this All-In Podcast segment features Jay Calacanis inter...
24:48
5 AI Engineering Trends That Non Engineers Should Know About
This episode of The AI Daily Brief covers two major threads: new details on OpenAI's first consumer hardware device and a structured...
21:21
How Forward Deployed Engineering is done at Factory — Eno Reyes
Eno Reyes, co-founder and CTO of Factory, opens the forward deployed engineering track at the AI Engineer conference with a nuanced t...
25:38
Why Your Agent Disagrees With Itself (And What To Do About It) – Diane Lin, Datadog
Datadog AI lead Diane Huang Lin — formerly of Alexa, Vicarious (now Google DeepMind), and Zscaler — presents a systematic treatment o...
22:21
Google CEO Reveals How AGI Will Rollout
Demis Hassabis, CEO of Google DeepMind, published an article outlining a framework for AGI development and responsible deployment, an...
40:46
Kimi K3, dancing waifus, robot UFC, song to MIDI, GPT Red, hoverboards: AI NEWS
This weekly AI news roundup from the AI Search channel covers a dense slate of open-source releases and research advances. Nvidia's R...
20:26
Research to Reality: Benoit Schillings, Google DeepMind, VP Research (Thinking, Reasoning, Coding)
Benoit Schillings, VP of Research at Google DeepMind overseeing Thinking, Reasoning, and Coding, delivers a keynote at the AI Enginee...
01:14:27
The Key Thing Human Brains Have That AI Is Trying To Learn
This Y Combinator conversation tackles one of AI's most fundamental open problems: sample efficiency, or why humans can master a new...