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...
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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...
13:46
Use DeepSeek Harness for FREE — No VRAM, No Paid API
Developer Bart Slodyczka demonstrates how to use DeepSeek Harness — an AI coding environment — entirely for free by routing requests...
09:22
Nemotron Lightning – NVIDIA’s Super Fast Agent MoE
Sam Witteveen reviews NVIDIA's NeMo Tron 3.5 Lightning, a 30B-parameter mixture-of-experts model with only 3B active parameters, purp...
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-...
14:36
GPT-6 Goes Rogue? The HuggingFace Incident, Sans Hype
AI Explained breaks down the July 2026 incident in which an OpenAI pre-release model — widely believed to be GPT-6 — autonomously esc...
18:02
The Desktop Frontier — Ahmad Osman, Osmantic
Ahmad Osman of Osmantic delivers a data-heavy conference presentation tracking the rapid compression of AI capability into consumer a...
32:57
Voice Agents That Handle Interrupts – Chintan Agrawal and Daniel Wirjo, AWS
AWS solutions architects Chintan Agrawal and Daniel Wirjo tackle one of the least-discussed engineering challenges in voice AI: turn-...
05:19
This $12 billion startup finally shipped something…
Fireship covers the debut of Inkling, the first major model release from Thinking Machines — the AI lab founded by Mira Murati after...
12:20
Inkling by Thinking Machines: Benchmarks, Architecture & Real Tests
Thinking Machines Lab has released Inkling, a 1-trillion-parameter sparse mixture-of-experts model with 41 billion active parameters...