Robert Lange ✓
@RobertTLange · BLN/TKY · joined 24 Apr 2017
Staff Research Scientist & Founding Member @SakanaAILabs 🎏 The AI Scientist, ShinkaEvolve, gymnax, evosax Prev: SR & Intern @GoogleDeepMind
10 107Followers
707Following
831Posts total
1MViews on collected posts
Последние посты
Ищем новые посты…
Also 👉 the Stanford course recordings on 'Self-Improving AI Agents' by @Azaliamirh and @achowdhery are out 🧑🏫
Covering many developments throughout the last 2 years and some of our work @SakanaAILabs 🎏 on the AI Scientist 🧑🔬 and AB-MCTS 🌲
🎥: https://t.co/UqRTwid9lh
📚: https:/
8.7K views · 123 likes
· 18 reposts · 0 replies
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🚀 Awesome in-depth survey on agentic self-improvement by @SchmidhuberAI's group 🔁
The survey provides a great historical overview covering optimization theory, symbolic heuristic self-modification, connectionist meta-learning, formal self-improvement frameworks including https:/
14.4K views · 104 likes
· 28 reposts · 1 replies
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During my PhD, I spent a lot of time working on hardware-accelerated numerical evolutionary optimization (e.g., evosax 🦎). Only fairly recently, I started digging more into genetic programming (GP). Unlike ES & GA, which optimize parameter vectors, GP directly optimizes https://t
5.3K views · 96 likes
· 8 reposts · 3 replies
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Native Python Object-Oriented Agents: Reusing native Python abstractions for agent development eliminates the learning curve of new frameworks and leverages LLMs' existing Python knowledge, achieving great results on ARC-AGI-3.
1️⃣ Agent-as-Python-object programming model: https
10.8K views · 107 likes
· 17 reposts · 3 replies
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headless-cli v0.5.0 mini-release update 🚀
🐍 Typed Python SDK
📡 Versioned JSON/NDJSON protocol
🐳 Durable Docker sessions
📊 Usage/cost accounting
Run Codex, Claude, Pi & more from one headless interface.
🧑💻: https://t.co/UZwAS39Zkc https://t.co/IPVM8SKxZN
1.4K views · 17 likes
· 1 reposts · 2 replies
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Happy to share headless-cli 💆: A single light-weight unified interface for headless coding agent execution, including Codex, CC, Pi, OpenCode, Gemini CLI and Cursor Agents.
👉 npx -y @roberttlange/headless codex --prompt "Hello world"
💻 https://t.co/ZPMPNFBf3o
It supports https:
6.7K views · 47 likes
· 5 reposts · 5 replies
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@RobertTLange huge congratulations 🥳, very well deserved!
288 views · 2 likes
· 0 reposts · 1 replies
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For more info on the AI Scientist check out our previous blogposts:
V1: https://t.co/tYlhqo5LH5
V2: https://t.co/AWprppcT7T
As well as last year’s @MLStreetTalk podcast with @_chris_lu_ and @cong_ml: https://t.co/HIDcipExbT https://t.co/0BBLl9yoa3
489 views · 4 likes
· 1 reposts · 0 replies
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The Nature paper adds additional experiments and discussions, building on top of our previous two preprints. These include, e.g., a robustness study of the proposed Automated Reviewer.
We provide evidence that the proposed agentic system generalizes beyond the training cutoff h
803 views · 4 likes
· 0 reposts · 1 replies
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I am really excited to share that our work on The AI Scientist has been published in Nature
Automated Scientific Discovery has been something I only dreamt about at the start of my PhD. Today, we are making big leaps into a world in which autonomous agents support human https://
28.2K views · 173 likes
· 21 reposts · 11 replies
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The AI Scientist: Towards Fully Automated AI Research, Now Published in Nature
Nature: https://t.co/rvS3cybrOq
Blog: https://t.co/HVZGEEM3aK
When we first introduced The AI Scientist, we shared an ambitious vision of an agent powered by foundation models capable of executing ht
957.3K views · 2.5K likes
· 463 reposts · 76 replies
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GIF
На фоне аккаунтов своего размера
2 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. показывается большему числу людей, чем аккаунты того же размера.
Медианные просмотры11 518этот аккаунт924медиана для 10K–100K
Охват, %113.96%этот аккаунт3.62%медиана для 10K–100K
Вовлечённость, %1.28%этот аккаунт1.52%медиана для 10K–100K
| Показатель | Этот аккаунт | Медиана для 10K–100K | Отношение |
|---|---|---|---|
| Медианные просмотры на пост | 11 518 | 924 | 12.5× |
| Охват (просмотры ÷ подписчики) | 113.96% | 3.62% | 31.5× |
| Вовлечённость | 1.28% | 1.52% | 0.84× |
Другие в этом диапазоне → Сравнить с другим аккаунтом → Как считаются эти ориентиры →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
957.3K25 Mar
28.2K
80326 Mar
489
288
6.7K4 May
1.4K28 Jul
10.8K29 Jul
5.3K1 Aug
14.4K3 Aug
8.7K5 Aug
Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.32%25 Mar
0.74%
0.62%26 Mar
1.02%
1.04%
0.86%4 May
1.39%28 Jul
1.21%29 Jul
2.00%1 Aug
0.93%3 Aug
1.63%5 Aug
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes50.7%3 142 in total
Reposts9.1%562 in total
Replies1.7%103 in total
Quotes1.7%108 in total
Bookmarks36.9%2 287 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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