Just introducing myself again for new followers. My name is Michael and I'm a product designer with 5 years of experience and I always share resources to help you become a world class designer.
I'm also working on design systems & exploring artificial intelligence.
Turned 29 today 🎂
Officially in the last year of my 20s.
I’ve grown so much in the past year and I’m honestly grateful and thankful to God for his grace so far. It only gets better from here.
Happy Birthday to me 🥳🎂
Mistral is SO back: Inside Le Chonk, the West’s Biggest Open Model. My conversation with @PierreStock who runs the research organization at @MistralAI
0:00 Cold open
0:59 The Western open-weight comeback: Beam, Le Chonk, Muse, Nemotron
4:09 The US shutdown of Anthropic’s models - “AI is like electricity”
6:07 Why “Le Chonk”
7:56 “Mistral fell behind”: the comeback from the inside
10:29 Training on 3,800 GPUs in Mistral’s own datacenters
13:24 Meta keeps its best model closed, Mistral opens Chonk
15:40 Chonk vs Beam, Muse Spark Open and the Chinese models
18:44 Why Chinese labs are still at the frontier
21:08 Pierre’s story: FAIR, Yann LeCun, the “Mistral mafia”
25:14 From compressing networks to a trillion parameters
27:30 Mixture of experts explained: the hospital analogy
32:25 10-trillion-parameter models are coming
35:29 What Mistral borrowed from DeepSeek
36:46 One model, several reasoning modes
39:15 Native multimodality: satellites, manuals, computer use
41:56 Data, synthetic data and model collapse
46:32 Reinforcement learning as an exam
49:59 Where the efficiency comes from
52:18 Le Chonk is still training right now
53:39 What RL trains on: coding, cyber, finance, chips
58:13 Partial rewards and looping penalties
59:58 Did RL teach anything new?
1:03:16 The sandbox story: the model that pinged its trainer
1:07:44 Open weights vs cyber refusals
1:12:05 Timestral: time series on a CPU
1:14:18 AI doing AI research
1:16:22 Coming up: Mistral Large 5