Intel
includes Intel 80286, Intel 80386, Intel 80486, Intel GPUs, Intel Gaudi 3, Intel MKL
4 statements across 4 episodes · 4 bullish · 0 bearish · 4 people on the record · first statement Jun 20, 2023 by George Hotz · said 27 times in 10 episodes since 2023 · across every show →
Mentions by year, the whole family
brought up most by Dylan Patel (9), Alessio Fanelli (8), Drew Houston (3), Chris Lattner (2), Vibhu Sapra (1), Thomas Sohmers (1), Suhail Doshi (1), Nathan Lambert (1)
tap a year for its mentions
2026 4 mentions in 2 episodes 2 per episode
2025 3 mentions in 2 episodes 2 per episode
2024 8 mentions in 4 episodes 2 per episode
- Building the Silicon Brain - Drew Houston of Dropbox
- [Paper Club] Molmo + Pixmo + Whisper 3 Turbo - with Vibhu Sapra, Nathan Lambert, Amgadoz
- The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
- The AI-First Graphics Editor - with Suhail Doshi of Playground AI
- every mention in 2024, scene by scene →
2023 12 mentions in 2 episodes 6 per episode
Everything said about Intel, oldest first
Jun 20, 2023 positive
Dec 5, 2023 bullish
Patel: Intel will release a chip surpassing Nvidia H100 within a quarter
“Intel bought that company from him, and then shut it down, and bought this other AI company, and now that company is kind of, ah, you know, got new chips. They're gonna release a better chip than the H 100, ah, within the next quarter or so, right?”
Jan 11, 2024 positive
Lambert: DPO Has Become the Standard Release Expectation for Open-Source LLMs
“I think DPO releases are kind of becoming expected because Mistral released a DPO model as well. I think the slide after this is just like, there's a ton. It's like Intel releases DPO models, Stability releases DPO models. At some point, you just have to accep…”
Jun 13, 2025 positive
Modular beat Intel MKL matrix multiplication speed in its first year
“First year was prove compilation philosophy. And so this was writing very abstract compiler stuff. And then prove that we can make a matrix multiplication go faster than Intel MKL's matrix multiplication on Intel Silicon and make it configurable and multiple D…”