Chilling. The only thing I got wrong here in @politico was the year. This is exactly where we are now. https://t.co/TvemiQ0DWS

60 Cybercabs spotted at Giga Texas today 🤖 https://t.co/uj2fyrAt24

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60 Cybercabs spotted at Giga Texas today 🤖 https://t.co/uj2fyrAt24

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introducing Motion, a video agent for tasteful motion design. this launch video was made entirely with Motion. 👇🏽 comment "MOTION" to get early access + free credits. tag @motion_so in any post on your X feed for a surprise. here’s how it works + examples (thread): https://t.co/CmeMgYPW6j

Excited to share what we’ve been building at Meta Superintelligence Labs! We just released Muse Spark, our first AI model. It's a natively multimodal reasoning model and the first step on our path to personal superintelligence. We've overhauled our entire stack to support scaling, and this is just the beginning. https://t.co/KNVjgMcch1

Enterprises are using AI today for coding, legal, support, healthcare, and more. @kimberlywtan's must-read deep dive compiles hard data on where AI has the most enterprise adoption – and the industries AI is coming for next: https://t.co/uiooUsHrMi https://t.co/7fXOhI1bgT

You can now run Cursor on any machine and control it from anywhere. Kick off agents from your phone to run on your devbox. https://t.co/ZpxNr9EMWm

GLM-5.1 is the new open SOTA on SWE-Bench Pro Comes with an MIT license. Congrats @Zai_org! https://t.co/u66GEFYhXx

GLM-5.1 is the new open SOTA on SWE-Bench Pro Comes with an MIT license. Congrats @Zai_org! https://t.co/u66GEFYhXx

Our parallel reasoning project ThreadWeaver is now open-sourced 🎉! Check out our Data Gen/SFT/RL recipe at https://t.co/3fE3srlAPv In case you don't know, ThreadWeaver 🧵⚡️ is the first parallel reasoning method to achieve comparable reasoning performance to widely-used sequential long-CoT LLMs, with up to 3x speedup across 6 challenging tasks.

Common Failure Modes Break VLM-Powered OCR in Production. 🔁 Repetition Loops — model spirals into infinite whitespace, exhausts resources, cascades latency across your system 🛑 Recitation Errors — safety filters hard-stop legitimate extractions as "copyright violations" Same pipeline. Completely different root causes. Completely different fixes. Our enginerring leadership broke down what went wrong and how we solved both 👇 https://t.co/fFkLmnG11h

1/ today we're releasing muse spark, the first model from MSL. nine months ago we rebuilt our ai stack from scratch. new infrastructure, new architecture, new data pipelines. muse spark is the result of that work, and now it powers meta ai. 🧵 https://t.co/fThDXdsxwB

Excited to launch The ATOM Report with @natolambert! For over 9 months, we scraped publicly available data to measure the open ecosystem. Some insights, some of them surprising, others less so: https://t.co/uEIPRdOJWc

Alzheimer’s is one of medicine's hardest unsolved problems, and one of the most devastating. At the OpenAI Foundation, we believe AI is well suited to its complexity. We're directing over $100M to scientists mapping the disease, designing drugs, & more. I wrote about it here: https://t.co/wOkiE78KUo

We solved character consistency. Forever Avatar V captures you in 15 seconds and holds your identity across every video. Change the look, outfit, and setting to create unlimited versions of you. RT + comment "AvatarV" below and I'll DM 100 credits to test it out (must follow) https://t.co/el5kNz4IOd

AI is going to take every single human job that exists and help us do it 100x better through smart glasses. This delivery driver makes fewer mistakes, drives safer, and spends less time per stop as his smart glasses AI copilot help him navigate, find the right package, and move around hands free. AI is an extension to our brains. It extends our thinking and allows us to do things that we could never do before. I don't think AI is replacing people. I think it's going to enter into the physical world in an entirely new way. AI in a chatbox already changed the world of knowledge work. Now watch what it does to jobs in the physical world. Mentra is building the OS and hardware infrastructure to make this happen. Are you another boring B2B SaaS that is about to get replaced? Disrupt yourself with smart glasses. Mentra's got the infra covered.

NEW: Meta announces Muse Spark. All you need to know: * It's their new multi-modal reasoning model. * Strong at multi-agent orchestration and multi-modal reasoning. * Contemplating mode orchestrates multiple agents that reason in parallel. Helps to compete with models such as Gemini Deep Think and GPT Pro. * The test-time reasoning efficiency is probably the most important bit; Muse Spark can compress its reasoning to solve problems using significantly fewer tokens (referred to as though compression). Look at the chart in the figure. Agents are parallelized without significantly increasing latency. That's huge! Great to see Meta finally get back in the game. It's good to see a focus on native multimodal capabilities. No open-source release and a private API only available to a select few. Results look promising, too, though there are some gaps, especially to enable long-horizon agentic systems and coding workflows.

Introducing Muse Spark, the first in the Muse family of models developed by Meta Superintelligence Labs. Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration. Muse Spark is available today at https://t.co/wHkMPH82ZH and the Meta AI app. We’re also making it available in private preview via API to select partners, and we hope to open-source future versions of the model. Learn more: https://t.co/PloE9q5x96

Releasing FLUX.2 Small Decoder: a faster, drop-in replacement for our standard decoder. → ~1.4x faster → Lower peak VRAM - decode larger images without running out of memory → Minimal quality loss → Works with FLUX.2 out of the box Especially impactful for real-time and larger resolutions pipelines.

Unreal Engine 5 is becoming the go-to platform for robotics teams, not just as a simulator but as a synthetic data factory powering the next generation of robotics systems🦾 From synthetic data to sim-to-real transfer, read our piece on how UE5 is quietly reshaping how robots learn to see, move, and act in the real world: https://t.co/Dc2VUvBs9q

We are giving away Safetensors to the @pytorch foundation (shepherded by the Linux Foundation) Our shared goal is to make the default serialization format for torch safe and performant. To unlock this, governance needs to be independent of @huggingface. Looking forward to more stakeholders contributing to Safetensors in the coming months 🔥

not surprised by any of this, headline or subheading https://t.co/ECcO5AMtid

Both societies exist simultaneously. really incredible to think about https://t.co/D2UHn3r03A

AI is set to reshape how cities function day to day. Samson Hu points to a future where infrastructure, services and urban systems are increasingly managed and optimized through AI. Cities are becoming systems of intelligence. How they operate will depend on how well that intelligence is integrated. https://t.co/N5rAQXqQ7E

Filmed at a real Primer school. Starring real Primer students. A 200 year vision for American Education: https://t.co/uTQDTJw633

"Anthropic, OpenAl and Google release their new models with high quality from day one then slowly nerf them until the next model, so when the next model hits, its perceived as a bigger jump than it actually is" sounds right what's happening https://t.co/D8FpbbYAwt

Introducing Avatar V. We’ve solved character consistency. Forever. Record yourself once for 15 seconds. From there, you can show up anywhere, in any look, and it still feels like you. Any photo becomes a video that looks, moves, and speaks like you, down to your mannerisms and quirks. This is the most advanced AI avatar model in the world. And we know that’s a big claim, so we brought the data to prove it. Thread below:

sam3.cpp - Meta's SAM 3 in pure C++ with @ggerganov's ggml - Supports SAM 3.1, 3, 2.1, 2 and EdgeTAM - FP16, 4-bit quant (EdgeTAM in 15 MB) - Apple Metal GPU, CUDA, CPU - Text-prompted: "peach" → every peach - Single-file C++14 Performance-wise: - 100ms object detection, segmentation - Video object segmentation @ 20FPS on M4 Pro with EdgeTAM https://t.co/XHC7ipyQtI

I’ve uploaded a new paper on arXiv (co-authored by @rasbt): MiCA Learns More Knowledge Than LoRA and Full Fine-Tuning In Parameter-Efficient Fine-Tuning, a key question may not just be how low-rank the update is, but *which* subspace we adapt. https://t.co/0Dc7F6rdGs

Exciting update to my 'now' page: I am taking some time to rest and cranking the explore-exploit dial all the way over to 'explore' for a bit 😁 https://t.co/U8GqPvPiJF

Claude Code Cheat Sheet Here is a list of top commands, shortcuts, and patterns you need to know when using Claude Code. We will update this as new updates for Claude Code come out. The idea is to curate practical tips and an easy way to navigate important functionalities and best practices. I have found this format more useful when learning what's new and teaching others about Claude Code. https://t.co/ScBEg1IwmY

“PyTorch is the most important open-source project at this moment in history.” https://t.co/lJv4TYnKy7