粉丝与涨粉
快照 11月3日 · 7 日榜 272 个账号可排本期浏览最高的帖子
- 1
We tasked Mistral Large 4 with creating a real-time, 3D tracker of the roughly 19,000 satellites and debris fragments orbiting Earth. The model built a working app, tested it like a user, made it fast, and passed strict verification. Please meet Orbital Trace :
- 2
The story of how Le Chonk was built, told by the team behind it. Now on @askalphaxiv : https://www.alphaxiv.org/abs/2611.mistral-large-4
- 3
Today, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity. 💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto efficiency on @artificialanalysis. 🛡 Built to defend: State-of-the-art in cyberdefense, put through the paces by the world's leading cyber vendors, including @CrowdStrike, @cloudflare, @rubrik, @zscaler, and others. Built for sovereignty: Make it yours. Download the weights on @huggingface , customize it with Mistral Forge, and deploy it wherever you need it. Read more from our team and customers 👇:
- 4
Three weeks of training camp for Le Chonk. No days off. Thanks for putting it to the test, @ThibaultJaigu and @RequestyAI.
- 5
Today, we’re introducing the Responses API in public preview, made for building agents on Mistral. Each response returns the model’s answer, its reasoning and its tool calls as separate items, so your app can handle every step more easily than with Chat Completions. It works with all chat models hosted by Mistral, including Large 4.
本周涨粉观察
全部观察每周一生成；中文区、7 日涨粉超过 1000 的账号会有条目。
发布节奏
最近 12 周每周中位浏览
最近 12 周发布时间
颜色 = 中位浏览爆款 vs 日常
爆款 = 浏览前 10%| 指标 | 爆款 | 日常 |
|---|---|---|
| 帖子 | 3 | 19 |
| 带媒体 | 100% | 63.2% |
| 回复 | 0% | 0% |
| 平均字数 | 235 | 210 |
| 中位浏览 | 185.1万 | 4,403 |
打法建议
只陈述相关性- 互动最好的时段是 21:00 前后（北京时间），中位浏览 55.1万。
- 一周里 周二 的中位浏览最高。
- 形式上 纯文字 的中位浏览更高（4,516 vs 5,932）。
- 爆款里带媒体占 100%、回复占 0%；日常分别是 63.2%、0%。
- 当前节奏约 0.4 条/天，日均浏览 39.2万。
内容结构
按本站分析的分类（近 120 天）- 模型10
- 产业7
- 产品1
- 论文1
形式与语言
帖子占比- 图片9
- 纯文字7
- 视频6
回复占比 0% · 引用 22.7% · 带媒体 68.2%
互动最高的帖子
按浏览排序- 1
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.
- 2
Today marks a major step for Mistral: we’re announcing a €3B Series D, the largest equity round ever raised by a European tech company, just three years after launch.
- 3
（无文字）
- 4
We are aware of a claim alleging unauthorized access to our systems. Following a thorough investigation, we have found no evidence to support this claim and can confirm that our systems have not been compromised.
- 5
Today, we are announcing a partnership with @mozilla to bring privacy, control and choice to people using AI to browse online. 🦊🐈 https://mistral.ai/news/mistral-x-mozilla
- 6
Mistral Large 4 is one of the world's strongest AI models for cybersecurity.
- 7
Mistral is bringing @aiDotEngineer back to Paris. After last year’s sold-out edition, our VP of Engineering Lélio Renard-Lavaud joins speakers from @bfl_ai , @cognition, @huggingface, and more. Explore the event and secure your spot: https://www.ai.engineer/paris
- 8
Mistral Large 4 runs general-purpose agents that gather information and produce finished deliverables across complex workflows.
- 9
We tasked Mistral Large 4 with creating a real-time, 3D tracker of the roughly 19,000 satellites and debris fragments orbiting Earth. The model built a working app, tested it like a user, made it fast, and passed strict verification. Please meet Orbital Trace :
- 10
The story of how Le Chonk was built, told by the team behind it. Now on @askalphaxiv : https://www.alphaxiv.org/abs/2611.mistral-large-4
- 11
Welcome to Mistral, New Material. Let’s bring design to mission-critical AI.
- 12
Today we’re announcing a new collaboration with @nvidia to bring AI to industrial engineering: - faster simulation - open benchmarks and supporting datasets for physics AI - evaluations for agentic AI in CAE and EDA More here: https://mistral.ai/news/mistral-nvidia-ai-for-industrial-engineering
点赞、转发、浏览是采集那一刻的快照，不是帖子最终数据；时间为北京时间。KPI 卡片里的同比只在账号有 8 周以上数据时显示， 否则只看近 4 周。“打法建议”只说明数据里的相关性，不代表因果。