Absolute Zero,ExpeL Research @MistralAI Ex. @Tsinghua_Uni @MSFTResearch,@ BIGAI Opinions are my own or gpt's
Mountain View, CA
Joined September 2020
- Tweets2K
- Following4.1K
- Followers5K
- Likes6K
Andrew Zhao retweeted
Recursive self-improvement needs agents that can build their own training environments. But researchers still part of the loop, making it hard to scale.
We introduce AutoEnvScaling, which turns Data Flywheel into a terminal task: a proposer agent builds complete Harbor tasks and sandbox. It builds just like human researchers. This enables self-play RL for terminal agents: one model improves as both builder and solver, without human-in-the-loop.
Andrew Zhao retweeted
pretty interesting document.
Anthropic released their 2021 research roadmap earlier this year (because of copyright litigation); I think some people might find it interesting: i.sm4.ca/concise-research-ro…
Andrew Zhao retweeted
🇫🇷 Le Chonk joins the sudo L7 leaderboard 🇫🇷
We just added @MistralAI's Mistral Large 4 to sudo L7, our benchmark for staff-level software engineering.
Mistral Large 4 scores 13.3%, ahead of Muse Spark 1.3 (12.2%) and Grok 4.7 (10.6%).
sudo L7 tests whether coding agents can go beyond writing correct code to exercise the judgment of experienced engineers: navigating messy systems, spotting hidden risks, and knowing when technically correct code is still the wrong thing to ship.
Allez, le Chonk ! 🥖
Leaderboard ↓
surgehq.ai/benchmarks/sudo-l…
Andrew Zhao retweeted
L’annonce importante de Mistral hier c’est moins leur nouveau modèle Large 4 en tant que tel que le fait qu’ils vont accélérer la sortie de nouveaux modèles avec désormais une nouvelle architecture technique qui leur permet de faire mieux, plus vite, sur ses propres serveurs.
le chonk wasnt trained on these kind of animations, cant believe its generalizing this well
Le Chonk enters the Frontier race 🐈
We put @MistralAI Large 4, MiMo V2.6 Pro, Opus 5.5 and GPT-6.1 Sol side by side with voxel, ASCII, Blender and SVG remakes of the launch clip
Run AI models locally and via API -> atomic.chat
Andrew Zhao retweeted
huge congrats, this is a really nice model, on par with frontier oss models on benchmarks, and leading with very high score on cyber
full benchmark results:
Meet Mistral Large 4, aka Le Chonk.
• 1T parameters, natively multimodal. 49B active.
It is the best open weights model from US or Europe on aggregated benchmarks.
• State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding.
• Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure.
• Available to all via API today. Working with cybersecurity partners privately.
Open weights release end of October.
Andrew Zhao retweeted
When everyone said Le Chaton fat was just a joke but @MistralAI makes him real.
Andrew Zhao retweeted
hosting the Self-Improving Agents social at @COLM_conf tomorrow
- 4 talks: @sethkarten @yoonholeee @qinyuan_ye and Noah Provenzano
- panel: @HuaxiuYaoML @ZhiruoW @jasonwu0731
my 4th one after ICLR, ICML and NeurIPS, and I still love hosting these.
1-2:30pm, Franciscan D. come by if you're at COLM
luma.com/m8v4fq76
Andrew Zhao retweeted
Mistral AI Releases Mistral Large 4 (Le Chonk): A 1.05T Parameter Multimodal MoE Model
Mistral Large 4, nicknamed Le Chonk, went into public preview today. 1.05T total parameters, 49B active per token, 1M context, native image input. Trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's own European datacenters.
Here is what stood out to me after reading the release and the docs:
→ Only about 4.7% of the weights fire per token
→ That is how a 1T class model serves at $1.36 per 1M input and $4.18 per 1M output tokens
→ The full 1.05T still has to sit in memory, so plan hardware around total, not active
→ 93% on Cybench, 82% on CyberGym-E2E, top 5 on the Artificial Analysis Cyber Index
→ 61.7% DeepSWE v1.1, 28.3% Terminal-Bench 4.0, 49.8% on the Coding Agent Index
→ API is live today as mistral-large-4
I broke down the architecture, benchmarks and a full comparison against DeepSeek V4 Pro, Kimi K3 and GLM-5.3, with an interactive explainer.
Here is the full analysis: marktechpost.com/2026/10/06/…
Technical details: mistral.ai/news/mistral-larg…
@MistralAI @MistralDevs
Andrew Zhao retweeted
Le Chonk enters the Frontier race 🐈
We put @MistralAI Large 4, MiMo V2.6 Pro, Opus 5.5 and GPT-6.1 Sol side by side with voxel, ASCII, Blender and SVG remakes of the launch clip
Run AI models locally and via API -> atomic.chat
Meet Mistral Large 4, aka Le Chonk.
• 1T parameters, natively multimodal. 49B active.
It is the best open weights model from US or Europe on aggregated benchmarks.
• State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding.
• Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure.
• Available to all via API today. Working with cybersecurity partners privately.
Open weights release end of October.
"dont touch the codebase if it works"
What the f*ck is this drug trip
I told Opus 5.5 to make a cow that runs. This is what it gave me for $6.80.
It runs on its f*cking udder. Four teats as legs. Then it jumps a fence in slow motion and lands like a pancake.
Andrew Zhao retweeted
For their Mistral Large 4 release, @MistralAI ran a blind Surge human eval, with our expert software engineers evaluating five frontier models on coding quality.
Le Chonk ranked #1 among open-weight models and #2 overall, behind only Opus 5.
Unit tests ask: does it work?
Human code review asks: would you merge it?
Our evals measures the difference. Working code is the floor; professional taste and judgment are what make it shippable.
Congrats to the Mistral team on le Chonk and their big release 🇫🇷
Meet Mistral Large 4, aka Le Chonk.
• 1T parameters, natively multimodal. 49B active.
It is the best open weights model from US or Europe on aggregated benchmarks.
• State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding.
• Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure.
• Available to all via API today. Working with cybersecurity partners privately.
Open weights release end of October.
Andrew Zhao retweeted
count down is starting for the release of ML4
be notified on the instant of the release: huggingface.co/mistralai/Mis…
Meet Mistral Large 4, aka Le Chonk.
• 1T parameters, natively multimodal. 49B active.
It is the best open weights model from US or Europe on aggregated benchmarks.
• State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding.
• Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure.
• Available to all via API today. Working with cybersecurity partners privately.
Open weights release end of October.
