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this is what actual national suicide looks like btw https://t.co/Qeknw6XMrg
Excuse my language, but Trump is a delusional, narcissistic, lying piece of shit. https://t.co/uvvNeZLMrT
Excuse my language, but Trump is a delusional, narcissistic, lying piece of shit. https://t.co/uvvNeZLMrT
Excited to introduce OmniClone, a robust teleoperation system for humanoid mobile manipulation. While systems like TWIST2 and SONIC paved the way, we put efforts into solving the critical stability and scaling gaps. 1/ π Moving past "vibe-based" testing. Weβve built a comprehensive diagnostic benchmark to systematically evaluate whole-body teleoperation. No more trial-and-errorβget the actionable insights needed for true policy optimization. 2/ π€ Universal Human-to-Robot Mapping. Teleop often breaks when switching operators. OmniClone mitigates biases from hardware fluctuations and, crucially, diverse human body shapes, ensuring high-stability control regardless of the person in the suit. 3/ π System Optimizations for Whole-body Manipulation Policy. By optimizing for affordability and reproducibility, OmniClone provides the high-fidelity pipeline necessary to collect data and train humanoid whole-body policies at scale. fully The model checkpoints and deploy code are now fully releasedβwelcome to play with it! π¦ π Paper: https://t.co/kDm60WeuMD π Project: https://t.co/WGcfYridEs π» Code: https://t.co/U1QLgaipcd
Built a spatial sticky notes app for Vision Pro. Tap. Speak. Rewrite. Persistent. AirSticky is live on the App Store. https://t.co/7z4ba8hJQ2
Introducing the world's first-ever AI COO. Enter a prompt and it deploys a team of agents to help you build a business and and get customers. Try it now at https://t.co/rI58U0cN7b. https://t.co/gKUJaIcAe0
Introducing @go_nestwell, a home health operating system that turns invisible environmental risks into clear, actionable steps. Nestwell assesses your home across air, water, light, moisture, and more, generating a personalized health score and connecting you to vetted solutions and experts. The positioning: "the voice in the room that notices what everyone else overlooks, and quietly corrects it." This one is a milestone for us: Nestwell is @littleplainsxo first fully generative end-to-end project, meaning AI-assisted workflows touched every phase: research and positioning, brand world building, content, and site. Research to live in six weeks. Tools used: - Research & strategy: Flora, ChatGPT Deep Research, Claude, Figma Slides - Brand & design: Figma, MidJourney, Paper (via MCP) - Site build: Cursor, Eleventy / Tailwind / GSAP, deployed on Vercel We're proud of how it came together for the teamβs launch, and excited about what it signals for how incredible work can be done.
π Live from @NVIDIAGTC, we're releasing Holotron-12B! Developed with @nvidia, it's a high-throughput, open-source, multimodal model engineered specifically for the age of computer-use agents. Get started today! π€Hugging Face: https://t.co/oaSviLi8IN πTechnical Deep Dive: https://t.co/pDItQB1frU πΌWe are hiring: https://t.co/fcNoR9FIYQ #AI #ComputerUse #NVIDIA #OpenSource #ReinforcementLearning #HCompany #GTC @NVIDIAAI @nvidia

Yes! The βare you sure?β problem (link below) is especially pervasive in any complex coding task. Ask Claude or GPT to review a PR then ask it to double check its findings when it finishes - itβll flip on at least 1 of its findings. https://t.co/WUSuOxTuDy
One thing that makes me feel that code factory has not arrived yet is the following experiment: 1.Ask a LLM to do an in-depth rigorous review of your code 2. In a new thread, as same/different LLM to consider those review comments independently and address issues it agrees with
Following a suggestion, I'm adding the context directly to the cards. But there's this blank space now. What other info could be added here? License type? Approx. size in BF16? Something else? https://t.co/f9UhDDGonh
Falcon 9 launches 29 @Starlink satellites from Florida https://t.co/IR0izpiruf

π―π―π― https://t.co/Qn1tXaSzQm
Try Grok Imagine for different art styles Embroidery style πΌ https://t.co/IR4R9TINig
GROK IMAGINE PROMPT TIP: There's a very simple way to improve your prompts: use the prompts from the templates offered by Grok Imagine. These templates provide a wealth of prompts available to everyone. Take a prompt and analyze it to understand the purpose of each word. For example, I took the fish template and added a color change in the prompt using the video extension.
@emollick One of my favorite parlor games right now is going to GPT-3 and asking it to write a one-scene play between two historical figures. It is consistently entertaining (and basically free!). Hereβs an example: https://t.co/eIBB1Nue6u
Only Grok 4.20 follows the 3 Laws of Robotics: 1) A robot may not injure a human being or, through inaction, allow a human being to come to harm. 2) A robot must obey the orders given it by human beings except where such orders would conflict with the First Law. 3) A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.
One π¦ per person was just the beginning. Now meet your MaxClaw team. β Multiple agents, each with their own role β Parallel execution, 24/7, no babysitting β Built around how your team actually works Your AI team. On demand. π¦π¦π¦ Available for Individual Plan β Pro tier and above.
πA closer look at Omnilingual No Language Left Behind, the encoder-decoder system presented as part of @AIatMeta new Omnilingual Machine Translation work!π Many say encoder-decoder is dead in the age of decoder-only LLMs but we show itβs not! π:https://t.co/isvEzRZbnw π§΅1/n https://t.co/RLs8ncUy0H
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 β¬οΈ 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
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
Happy to share πOmnilingual Machine Translationπ 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. π: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 π€ Transformers.js https://t.co/Nv3FzfsONb
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A robot in China just smashed some dishes started dancing instead of working π https://t.co/cfkIjihnsx