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AI at Meta
@AIatMetaMuse Wonder and Muse Wonder Full deliver SOTA performance on personal and professional agentic tasks. Learn more about the models on our researcher blog: https://t.co/koe89SLQts https://t.co/mEIYEFD40g
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Model Updates & Workflows
Turn model changes into useful choices: what to try, how to use it, and where it falls short.
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Page 3 of 15294 posts · Page 3 of 15
October 14, 2026
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Google AI
@GoogleAITextbook biology, brought to life right in your browser 🌿 This interactive 5-stage visual atlas built by Argon in @antigravity turns dense textbook biology into a hands-on experience. With fluid animations and scientific precision, you can scroll from a sunlit leaf all the way down to sub-cellular chloroplasts. The model pairs accuracy with a seamless interactive design, demonstrating how to build educational tools that can make complex science visual and effortless to explore.
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Google DeepMind
@GoogleDeepMindOver half of reported crimes in Singapore use sophisticated social engineering. With @GovTechSG, we’re building on-device fraud detection using our open model Gemma. By fine-tuning it on local scam tactics, it identifies threats in real time without compromising personal privacy → https://t.co/VdCio2nrHC
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Hugging Face
@huggingfaceLearn about how to get multipliers in local LLM speed-ups using speculative decoding in this livestream with @mervenoyann, @MaartenGr and @_EldarKurtic https://t.co/tFexgaLcT5 https://t.co/Pad59uMr8J
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Google DeepMind
@GoogleDeepMindTo advance more research with Gemini 4 Argon, we’re offering 10,000 scientists access to our highest usage tier in @GoogleAntigravity free of charge for 6 months. Find out more → https://t.co/A9F2OZi4OJ
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Google DeepMind
@GoogleDeepMindArgon also compressed the process of enzyme engineering into a matter of hours to design five lab-verified serine esterases. 🧬 https://t.co/74xPM9LJPa
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AI at Meta
@AIatMetaWatch the full convo with @finkd, @alexandr_wang and @collision: https://t.co/AJ9GHXjB2d
October 13, 2026
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Neal Patel
@neal_k_patelYou already gave the LLM the answer. So why is it writing it out from scratch? Introducing a new AI model architecture: Constrained Decoding Models (CDMs) LLMs were built to write. Most production workloads just need an answer: fast, consistent, and affordable. CDMs are https://t.co/QfATwcewaV
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Anthropic
@AnthropicAINew on our Engineering blog: Creating in-house source control. In May, we merged around 2,500 code changes per day. In September, we merged more than 30,000 per day. As a result, we became bottlenecked by developer infrastructure built for human (rather than agent) scale. Here, we share how we built a new version control system—and fully migrated our monorepo from git—in five months: https://t.co/wzNkwHs7IN
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Google DeepMind
@GoogleDeepMindGemini 4 Argon is now globally available. Built to solve your hardest problems from start to finish, the model brings frontier capabilities across coding, enterprise workflows, and cyber defense. https://t.co/N8tOQjwk0x
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Simon Willison
@simonwOK, "using Fourier epicycles" is a new twist
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Google DeepMind
@GoogleDeepMindGemini 4 Argon taught a robot to play cornhole just by watching a video. It mapped the physics, coded its own simulation, and taught @Apptronik's Apollo humanoid to sink 7 throws in a row. https://t.co/JIyoKnVc4q
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Google DeepMind
@GoogleDeepMindhttps://t.co/oADallGYuR
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Mistral AI
@MistralAILook up! Mistral models are in orbit 🌍. Proud to join @orbitworksspace and @LoftOrbital's first-of-its-kind AI satellite constellation with @NVIDIAAIInfra.
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Google AI
@GoogleAIGemini 4️⃣ Argon ✨ is now rolling out globally. Our frontier model is built for complex, real-world tasks across coding, finance, legal, cybersecurity, and science. Check out how you can use Argon in your favorite Google product 🧵 https://t.co/PtoPqbtPel
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Google AI
@GoogleAIWe’ve been exploring the potential of using Gemini 4 Argon to accelerate research @Google. One of our tests was using videos of humans performing fun tasks (game of bags, anyone?) to autonomously spin up training simulations, rather than relying entirely on manual programming. Hear from our research team and see the results in action as our humanoid robot studies the videos, runs the simulations, and masters the game of cornhole.
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Google AI
@GoogleAIhttps://t.co/OasAZZK8ar
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Google DeepMind
@GoogleDeepMindHere’s how you can try it: 🔵 Everyday users: In the @GeminiApp and AI Mode in Search for Google AI Pro and Ultra subscribers. 🔵 Developers: Gemini API paid tier, plus @Antigravity and @GoogleAIStudio for Google AI Ultra subscribers. 🔵 Scientists: Apply for the top usage tier in @Antigravity free of charge. 🔵 Enterprises: Gemini for business and in Antigravity. Find out more → https://t.co/6nH9sCdObL
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Google DeepMind
@GoogleDeepMind@Apptronik By turning video into a training ground for physical AI, Argon compresses weeks of manual modeling into just a few hours. ↓ https://t.co/8tQ2r21lcC
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Google AI
@GoogleAISee how Argon uses the Gemini API and Managed Agents to act as your personal game developer, turning your ideas into a playable pixel-art retro arcade game delivered right to your screen. https://t.co/BNVc6XNCDv
