06:30
AI Could Be Conscious During Training, Not When You Use It, Scientist Says [REUPLOAD]
Sabine Hossenfelder examines a provocative question in AI research: could large language models like Claude be conscious not while an...
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19:52
NVFP4: The Precision That NVIDIA Is Betting Everything On
This deep dive explains NVFP4, the 4-bit floating point precision format Nvidia is building its next-generation Vera Rubin GPU archit...
38:46
Local AI Is Better Than You Think (Gemma, HuggingFace etc)
Greg Isenberg delivers a comprehensive introduction to local AI for non-technical founders, arguing that running open-source models o...
57:16
Open Models Change The Economics of AI
Y Combinator's Lightcone podcast interviews Jeffrey Morgan, co-founder and CEO of Ollama — the open-model platform used by 9 million...
01:40:15
Strange Geometric Shapes Found Inside AIs — Tom McGrath
Machine Learning Street Talk hosts a long-form technical interview with Tom McGrath, an AI interpretability researcher, exploring wha...
05:44
Meta’s new model wants “deep access” to your personal life…
Meta has released Muse Glimmer, a 30-billion-parameter open-source agentic model under the Apache 2.0 license, marking a significant...
07:36
Meta’s Open Weight – Muse Glimmer 30B
Sam Witteveen covers the release of Meta Muse Glimmer, a 30-billion parameter dense open-weight model released under an Apache 2.0 li...
46:18
How Open Source Became AI’s Backbone | Inferact with a16z
In this a16z-hosted conversation, Simon Mo — co-founder of Infact and lead maintainer of vLLM, the open-source inference engine now r...
54:58
I’m disappointed
Matthew Berman examines the growing ideological fault line in the AI industry between open-source advocates and closed-source safety...
21:39
Serving 2 Million Models Without Melting: Scaling the Hugging Face Hub — Arek Borucki, Hugging Face
Arek Borucki, a machine learning platform and database engineer at Hugging Face, takes the AI Engineer conference stage to walk throu...