ResNet
product on 7 shows · 2 statements across 2 episodes · said 19 times in 15 episodes since 2020
Latent Space 10 
the a16z Podcast 4 
Cheeky Pint 1 
No Priors 1 
the MAD Podcast 1 
Big Technology 1 
All-In 1
Mentions by year, every show
tap a year for its mentions
Latent Space 10the a16z Podcast 4No Priors 1All-In 1Big Technology 1Cheeky Pint 1the MAD Podcast 1
2026 7 mentions in 5 episodes 1 per episode
- How Open Source Became AI's Backbone | Inferact with a16z
- Cooking with OpenAI’s Research Chief: AGI, o1, Evals, and Scaling Laws — Mark Chen
- Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and Video Agents— Ethan He
- AI is Already Building AI — Google DeepMind’s Mostafa Dehghani
- Reiner Pope of MatX on accelerating AI with transformer-optimized chips
- every mention in 2026, scene by scene →
2025 2 mentions in 2 episodes 1 per episode
2024 6 mentions in 4 episodes 2 per episode
- Breaking down the OG GPT Paper by Alec Radford
- Best of 2024 in Vision [LS Live @ NeurIPS]
- High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
- E167: Google's Woke AI disaster, Nvidia smashes earnings (again), Groq's LPU breakthrough & more
- every mention in 2024, scene by scene →
2023 3 mentions in 3 episodes 1 per episode
2020 1 mention in 1 episode
every mention on every show, scene by scene, with the transcript →
2 statements about ResNet, every show
Simon Moe: BERT was the first model requiring GPUs for efficient inference
“Probably BERT. And before that, it was like ResNet for computation, like images, computer vision classification. So ResNet already need to run on NVIDIA K-eighty, which is kind of one of the first SEU on AWS and other places. And, but way over, but even at thi…”