Grok can watch long videos for you and save your time. https://t.co/6AEGd64AFU

Even the best reasoning models hit an accuracy collapse beyond a certain problem complexity. Giving an LRM the exact solution algorithm doesn't fix it either. This new work, BIGMAS, improves LLM agents by taking inspiration from the human brain. BIGMAS outperforms both ReAct and Tree of Thoughts across all three tasks. It organizes specialized LLM agents as nodes in a dynamically constructed directed graph, coordinated through a centralized shared workspace inspired by global workspace theory. A GraphDesigner builds task-specific agent topologies per problem, and a global Orchestrator routes decisions using the complete shared state, eliminating the local-view bottleneck of reactive approaches. Across Game24, Six Fives, and Tower of London on six frontier LLMs, including GPT-5 and Claude 4.5, BIGMAS consistently improves accuracy. The gains are largest where models struggle most: DeepSeek-V3.2 jumps from 12% to 30% on Six Fives. Paper: https://t.co/sMqUfvHAGp Learn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c

In our paper "Towards a Science of AI Agent Reliability" we put numbers on the capability-reliability gap. Now we're showing what's behind them! We conducted an extensive analysis of failures on GAIA across Claude Opus 4.5, Gemini 2.5 Pro, and GPT 5.4. Here's what we found ⬇️ https://t.co/GkdAxk0wDO

When we tested videos on these themes, AI-specific populism - messages that address the future impact of AI in bold, populist terms - performed at the top compared with every other topic we've tested in moving voters toward Democrats. https://t.co/bNpCfsJC1h

Leaving aside the politics & accuracy of these points (and they are inaccurate, I don't know any economist who projects anything like 75% of jobs are being eliminated in 5 years), the rest of this is remarkably close to the UBI proposals that have been floated by the big AI CEOs. https://t.co/AGOO6o81yw

Happy to share 🌍Omnilingual Machine Translation🌍 In this work @AIatMeta we explore translation systems supporting 1,600+ languages. We show how our models (1B to 8B) can outperform baselines of up to 70B while having much larger language coverage. 📄:https://t.co/isvEzRZbnw https://t.co/8sdgkQuJ3B

Current vision-language models still struggle with simple diagrams. Feynman is a knowledge-infused diagramming agent that enumerates domain-specific concepts, plans visual representations, and translates them into declarative programs rendered by the Penrose diagramming system. Great insights for those building agents for diagrams and visualizations. One pipeline run produced 10,693 unique programs across math, CS, and science, each rendered into 10 layout variations, yielding over 106k well-aligned diagram-caption pairs. Paper: https://t.co/F4vNS0TII4 Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

Tomb Raider cosplay done right. https://t.co/trHhU0lcLM

IBM just released Granite 4.0 1B Speech, a compact and efficient speech-language model, designed for multilingual speech recognition and bidirectional speech translation. New #1 on the OpenASR leaderboard! It can even run in your browser on WebGPU, thanks to 🤗 Transformers.js https://t.co/Nv3FzfsONb

Tibo di bop cod ex Tibo di bop cod ex Tibo di bop cod ex Tibo di free free Tibo di free free Tibo di free cod ex Tibo di free cod ex Tibodi free codex codex tibo tibo Tibodi free codex codex tibo tibo https://t.co/ThEAcWt0TT

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A robot in China just smashed some dishes started dancing instead of working 😂 https://t.co/cfkIjihnsx

i dj'd a set this weekend and planned half of it with an app i built on @GoogleDeepMind's new multimodal embeddings model. it understands what music actually sounds like - not bpm, not genre tags. raw audio in, vibes out. built with @cursor_ai + @openai gpt 5.4, gemini embeddings and @convex to keep everything running smoothly @ericzakariasson @DynamicWebPaige @waynesutton @gabrielchua here's what it does (demo below) 🧵

Many highly skilled workers have been quietly training the very AI systems that may reshape their jobs. That comes with a trade-off: the knowledge they share today can become tomorrow’s automation. The real question for the next generation of professionals may be how much expertise to contribute and under what terms. https://t.co/0ZCuCZcFNo @ft

Tried the viral poster-skill with Claude Code on the trending Moonshot paper :) Not too bad! https://t.co/I8lb0aUrbT

Tried the viral poster-skill with Claude Code on the trending Moonshot paper :) Not too bad! https://t.co/I8lb0aUrbT

“Everyone should be a GPU programmer.” @clattner_llvm's goal with @Modular: “What Modular is doing is opening up the box. We’re fixing the language problem and the platform problem. "The goal is to let more developers learn modern compute. And to give developers real choice in the hardware they use.” “Those two things unlock the ecosystem.”

🚨🚨 Excited to share our first *positive* results on AI in education! Most AI tutor work focuses on making the chatbot better. We suggest another lever: deciding what students should practice next to improve learning. We combine an LLM tutor with reinforcement learning to personalize problem sequencing using signals from student-chatbot interactions and solution attempts. We tested this in a 5-month randomized field experiment in a Python course across 10 high schools in Taipei. All students had the same course material and the same AI tutor. The only difference was adaptive vs. fixed problem sequencing. Result: across 770 students, adaptive sequencing improved performance on an in-person final exam taken without AI assistance by 0.15 SD, with larger effects for beginners. Our evidence suggests the gains came from stronger engagement and more productive AI use.

Sweden’s deputy prime minister Ebba Busch called for a more inclusive approach to AI at the India AI Impact Summit in New Delhi. She argued the next phase of AI development should focus on accessibility and solving real-world problems. The bigger question is whether the global AI race will prioritize inclusion or simply speed. https://t.co/1KHEAuGZY1 @OfficialINDIAai @BuschEbba @cnn @_DigitalIndia

Grok Imagine Prompt Share: ethereal beautiful woman sitting gracefully in a vibrant wildflower meadow, long wavy light-brown hair with large pink satin bow and flowing sheer veil, delicate off-shoulder pastel pink and lavender ruffled dress with puffy sleeves and flowing skirt, serene peaceful expression with soft downward gaze and gently closed eyes, surrounded by dense colourful wildflowers in pinks, purples, whites, blues and yellows, luminous soft watercolor painting style, delicate washes, dreamy glowing sunlight, pastel fantasy atmosphere, highly detailed, whimsical and romantic, masterpiece, best quality.

Grok Imagine Extend from Frame💫 "Don't worry, my little friend, I will take good care of you"🥰 Sound ON🔊 https://t.co/mLaW3m4y1A

Beware the IDEs of March https://t.co/ZEh8EYgxvC

Beware the IDEs of March https://t.co/ZEh8EYgxvC

Grok Imagine is capable of generating many styles. It's so much fun to try them out! And always video extension up to 30sec https://t.co/wJZLjsbns9

Grok Imagine's tip: work on your prompt -for the visuals -for the animation -for the soundtrack https://t.co/Wqp4ZWA5P5

Veil of Starlight and Foxfire Wings https://t.co/54fB4cY7xD

"Somebody I know went to work for SpaceX and said, 'It's like being dropped into a zone of shocking competence.' The best engineers in the world want to work for Elon Musk because he's the one CEO who's able to work with them as a peer." https://t.co/IEHQhUZFOs

On this day in 2008: production starts for Tesla’s first vehicle, the Roadster. https://t.co/95qmf4YqzW

Your creativity, amplified by AI Powered by Grok Imagine https://t.co/BzumP8yOAS