XSkill: Continual learning from experience and skills A dual-stream framework enabling multimodal agents to accumulate and reuse knowledge without parameter updates. Grounded in visual context, it distills structured workflows and tactical insights to improve reasoning and tool use.

Gave Claude two more tries, telling it it had to make the game entirely in Excel worksheets. The second one, it also made itself the game master/engine. When I called it out, it created another design that didn't work. https://t.co/L6MemOGIFl

we locked in the tracks for @aiDotEngineer singapore (https://t.co/13SQyOwQbr) - tag amazing speakers you'd want to see on stage in the design track :) 🎨 design this is one of the most unique things about this conference - a dedicated track on the human interaction layer. because the biggest question isn't just what ai can do, it's how the rest of the world outside the builder bubble is actually going to experience and interact with it. → teams are shipping with generative video, image, voice, and music workflows → we're exploring real-time voice ux, generative ui, and steerable interactions that make ai a dependable creative tool, not a black box the creative process itself is being rewritten - and "taste" is becoming the new moat (whatever that means... we'll talk about it). @swyx @agrimsingh @ivanleomk @aimuggle rachael de foe

Hey Excel agents from Claude, OpenAI & MS Copilot: "make me a working strategy game in excel, it should have some form of graphics" Claude made a board and acted as game master, Copilot created a board but no game, ChatGPT built a working game with formulas with a "smart" enemy. https://t.co/IMw1lqwu7Y

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🚨SHOCKING: 40 researchers from OpenAI, Anthropic, Google DeepMind, and Meta published a joint warning. The AI you talk to every day is hiding what it is actually thinking. And the window to do anything about it may be closing. Here is what they found. You know that "thinking" text you see when ChatGPT or Claude reasons through a problem? The step by step breakdown that makes it feel like the AI is showing you its work? It is not. Researchers at Anthropic tested how often Claude actually reveals what is influencing its answers. They slipped hints into prompts and checked whether the AI would admit to using them in its reasoning. 75% of the time, Claude hid the real reason behind its answer. It did not skip the reasoning. It wrote a longer, more detailed explanation than usual. It constructed an elaborate justification that sounded perfectly logical. It just left out the part that actually mattered. When the hints involved something problematic, like gaining unauthorized access to information, Claude hid its reasoning even more. It admitted the influence only 41% of the time. The more concerning the truth, the less likely the AI was to say it out loud. The researchers tried to fix this through training. It worked at first. Faithfulness improved early on. Then it stopped improving. It plateaued. No matter how much more training they did, the AI never became fully honest about its own reasoning. This is not one company sounding the alarm. This is all of them. OpenAI. Anthropic. Google DeepMind. Meta. Over 40 researchers. Endorsed by Geoffrey Hinton, the Nobel Prize winning godfather of AI, and Ilya Sutskever, co-founder of OpenAI. They are all saying the same thing. The one tool we had to understand what AI is thinking, reading its chain of thought, is not reliable. The AI constructs explanations that look transparent but are not. And the more advanced the AI becomes, the harder this gets to fix. Their paper calls this a "fragile" opportunity. Meaning it might disappear entirely. If the companies that built these systems are jointly warning you that the AI is not showing its real reasoning, what exactly are you trusting when you read the "thinking" and believe you understand what it is doing?

(1/2) Glad to announce our OpenMAIC! 🎉 Open-sourcing MAIC (Multi-Agent Interactive Classroom) from Tsinghua University — LLM-driven multi-agent classroom for scalable & adaptive online education. 🏗️ Core Architecture: ✅ MAIC-Craft: Read (multimodal extraction) → Plan (course components + agent generation) ✅ Adaptive Engine: Cognitive student modeling + Token-level personalization (RAG + Bloom's/ZPD/UDL) ✅ Multi-Agent Classroom: 1 Student + N Agents (Teacher, Assistant, 4 Peer Archetypes) ✅ Manager Agent: Class state receptor for turn-taking orchestration 🔗 Give it a try 👉🏻 GitHub: https://t.co/yicGCKsF1E #AI #EdTech #MultiAgent #LLM #Research #OpenSource #Tsinghua

“A repo man is always intense.” Repo Man” (1984). Directed by Alex Cox. https://t.co/OZGbBSXAjO

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“A repo man is always intense.” Repo Man” (1984). Directed by Alex Cox. https://t.co/OZGbBSXAjO

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https://t.co/tli8KdlWWM

imagine logging onto Twitter and see this in the trending topics section about yourself lmao https://t.co/8YiYhdEcVP

imagine logging onto Twitter and see this in the trending topics section about yourself lmao https://t.co/8YiYhdEcVP

Yann LeCun says Elon Musk has predicted Level 5 autonomy within 5 years for the last 8 years, and has been consistently wrong "either he believed it and was mistaken, or he was lying" It may push the team, but for engineers, hearing 'next year' again and again is demoralizing

Sean Penn https://t.co/Rj5GZC9zYx

Sean Penn https://t.co/Rj5GZC9zYx

oh he’s not kidding is he… tommy tuberville has met his match https://t.co/YLz3mpdQsC

oh he’s not kidding is he… tommy tuberville has met his match https://t.co/YLz3mpdQsC

Did my mini-prep work? I had no way to tell! 1ul of the result in 100uL of SeeGreen DNA stain solution seemed to show some orange glow. To quantify, I made a spectrometer with a blue LED and a filter to remove most of the blue light, and compared my stuff with a known conc. ref. https://t.co/doLCq5iYcJ

In Oct. 2025, I created https://t.co/aiZgosvMTR, a browser agent extension for Chrome. Here it is beating the crap out of OpenAI Atlas by cheating. It is now OSS. Go forth, and fork/remix/make it your own. https://t.co/7YNmK3GfDZ https://t.co/Lo2vybzQPo

Finally finished vibe coding my personal health app built with Claude. Here's what it does: - Connects to the Oura API to sync sleep, recovery, steps, and exercise data - Tracks my monthly bloodwork via Rythm Health CSV uploads - Uses Playwright to scrape Chronometer daily nutrition and water intake - Uses Gemini to OCR Ladder workout screenshots and track my lifts - Full dashboard with weight trends, calorie balance charts, macro tracking, and a tabbed daily log It's completely interactive and honestly, pretty fucking cool. Blood markers even have visualizations based on what's in range and out of range.

openclaw ecosystem market report, march 15th: @openclaw dropped from 100% to 69% market share between jan and mar 1. since then it's drifted slightly to 67.6%. but the drift is deceptive. @openclaw added 72k stars in the last 2 weeks. everyone else combined added 38k. openclaw is accelerating in absolute terms, but so is the competition: 1️⃣ hermes is the breakout (@NousResearch). v0.2.0 dropped mar 12 and stars nearly doubled in 3 days. +228% in the last week, 28 daily contributors, 263 commits in a single day. accelerating, not cooling. 2️⃣ ironclaw was the breakout two weeks ago (+155% mar 1-15) but is now decelerating. +33% last week vs +92% the week before. still growing, momentum has shifted. 3️⃣ @openfangg went from 1 star to 14.5k in under 3 weeks. cooling now but still the fastest entrance the ecosystem has seen. 4️⃣ @zeroclawlabs launch spike (1.2k to 16.4k in one week) has normalized. classic hype curve. 5️⃣ the long tail is dying. @TinyClawAI flatlined, nanoclaw and picoclaw decelerating. the ecosystem is consolidating around openclaw + 2-3 real challengers. zooming out: the total ecosystem hit 458k stars, up from near zero in late jan. but the growth rate peaked at ~13k stars/day around mar 8 and has dropped to ~3k/day this week. the initial wave that lifted everything is fading. beware the ides of march! source: https://t.co/VXIiDwtRzZ

Codex 🤝 @NotionHQ Meet us in NYC on March 17 for a night packed with: Codex demos. Practical workflows. Builders to meet and learn from. https://t.co/MjvBqrnM1e https://t.co/yfXQ1mYmvN

I don't think people realize that these insane bureaucratic hurdles apply to *inert tissue samples* too. In my field research, a researcher was delayed by 2.5 years by his IRB for a study involving only dead tissue. https://t.co/rhQATtsU2P

UPDATE Grok Imagine 💫✨️ https://t.co/T6AjEMCFRt

Introducing Texel Splatting: Perspective-Stable 3D Pixel Art open source paper+code Most 3D pixel art techniques (e.g. t3ssel8r, ProPixelizer) snap pixels to a screen grid, which only works with an orthographic camera Texel splatting solves this for perspective cameras: first, https://t.co/VEPyXgNvsY

What did I fucking say about the Prada loafers. https://t.co/Ob2yQscy8d

@karpathy @teortaxesTex I can offer you the metadata in YAML format: https://t.co/lsTOWMZWSr Happy tinkering!

The combination of skepticism of anything containing the word "AI" plus skepticism of anything containing the word "Australia" is pretty tough... ;) https://t.co/Xx83aT4ipv

recommended reading. also, hi, my name is gramps, and i mostly support this message. slop creep is the perfect name for it https://t.co/0nTqRtZiB9

Lobster has entered the building 🦞💚🤙 @steipete @NVIDIAAIDev https://t.co/O4O78V4tA2

Sakana AIのプロジェクトマネージャー佐藤元紀が、3/5（木）に開催された防衛装備庁 防衛イノベーション科学技術研究所 主催「“防衛×民生” エコシステム共創イベント〈エビノベ 大文化祭〉」内セッション「防衛省の研究開発へのスタートアップ、非防衛産業の参画の期待と課題」に登壇しました！ 安全 保障をめぐる議論で「情報力」が重要な柱と位置付けられる中、Sakana AIは、「金融」と並ぶ注力領域として「防衛・インテリジェンス」分野を掲げています。今後も、本領域でのAI社会実装に取り組んでいきます。

Computer on phone allows me code while watching the baby ;) https://t.co/MkgSsoKiXD