@KSimback @NousResearch Cool, will go good with this report about Hermes: https://t.co/qeOiuNkiG0

Very interesting paper shows some suggestive evidence that release of AlphaFold caused researchers to work with more novel proteins than they would've otherwise https://t.co/okeVfssLcI

Introducing Stora, AI agents for the app store The app store is a full-time job nobody signed up for Screenshots. Compliance. ASO. Publishing We built agents to take it all on Shipping on mobile is now as easy as shipping to web @stora_sh | https://t.co/5Baz0BEjOH https://t.co/z5JsFaEvgJ

Pick up! It’s your AI Self calling 🤳 All Pika AI Self agents can now talk on the phone. For when it’s just too difficult to explain, your thumbs are tired, or you’re craving a more personal connection. https://t.co/lwowXmMBp5

Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform. https://t.co/vHYfiC1G56

Today we're releasing the Factory desktop app. A native interface for autonomous AI agents that work across every part of your software business. https://t.co/17j06HMb2G

✨ Introducing AIMock - one mock server for your entire agentic stack! Your AI app calls LLMs, MCP tools, A2A agents, vector DBs, search, reranking, and moderation. If any of those are live in your tests, you've got flaky CI and burned tokens. No tool mocked all of it. So we built one. One package. One port. Plus drift detection and record & replay that nobody else ships. Zero dependencies. Open source. Mock with one command: `pnpm add @copilotkit/aimock`

Today we're announcing the Billion Dollar Build. An 8-week competition where teams will use Perplexity Computer to build a company with a path to $1B. Finalists have the opportunity to secure up to $1M in investment from the Perplexity Fund and up to $1M in Computer credits. https://t.co/OmEqtdIpbY

Allen AI just released the WildDet3D dataset on Hugging Face millions of 3D bounding boxes with depth maps and camera parameters across 11,000+ categories from COCO, LVIS and more. https://t.co/bSXXfAVlUP

New on the Engineering Blog: Building Managed Agents—our hosted service for long-running agents—meant solving an old problem in computing: how to design a system for “programs as yet unthought of.” Read more: https://t.co/YYaEub2QGV

Improve latency up to 1.68x with NVFP4 and MXFP8 using Diffusers and TorchAO on Blackwell across a suite of different models 🔥. Squeeze out maximum performance with recipes involving selective quantization and regional compilation. 🔗 Read our latest blog from @vkuzo (@Meta) and @RisingSayak (@HuggingFace): https://t.co/QRHwAiOSc5 #PyTorch #TorchAO #MXFP8 #NVFP4 #OpenSourceAI

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 🔥