08:48
Something Is Going Very Wrong With Google’s AI
Google's standing in the AI race is coming under renewed scrutiny following the announcement that Demis Hassabis is stepping down as...
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30:00
Can LLMs Write Fast Multi-GPU Kernels? — Simran Arora, Together AI
Simran Arora, principal scientist at Together AI and incoming Caltech professor, presents original research asking a pointed question...
06:18
Antares-1B: Vulnerability Localization with AI Locally
Fahd Mirza demonstrates Antares 1B, a 1-billion parameter model released by Cisco's Foundation AI team specifically for vulnerability...
28:27
Anthropic’s Model Attacked Two Strangers On GitHub. Nobody Asked It To.
Nate B. Jones delivers a detailed breakdown of two concurrent AI safety incidents that surfaced in the same week, both with significa...
01:42:54
The Inference Frontier: 10x Faster Models to Self-Optimizing AI — Philip Kiely & Ali Taha, Baseten
The Latent Space podcast sits down with Philip Kiely and Ali Taha from Baseten to walk through the full lifecycle of a production inf...
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...
15:13
HTML Is All Agents Need — James Russo, HeyGen
HeyGen co-creator and tech lead James Russo delivers a conference talk at AI Engineer explaining why HTML, CSS, and JavaScript are th...
23:35
Stop Evaluating Models Like It’s the 50s – Alejandro Vidal, Mindmakers
Alejandro Vidal, founder of Mind Makers, argues that the AI industry's standard approach to LLM benchmarking—summing correct answers...
23:00
Stop Evaluating Models Like It’s the 50s – Alejandro Vidal, Mindmakers
Alejandro Vidal of Mindmakers presents a conference talk arguing that LLM benchmarks are fundamentally flawed because they treat ever...
02:11:20
Exploring the J-Space
The Cognitive Revolution hosts Nathan and Pash spend a live morning session working through Anthropic's major new J-Space interpretab...