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Page 14 of 15
294 posts · Page 14 of 15

September 20, 2026

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Thanks @vllm_project for the day-0 support! 🙌 Generate, edit, transparent output — one model, ready to serve. Details 👇

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Qwen-Image-2.1 also improves visual quality over its predecessor, particularly in the aesthetics of text and portraits. Below are several examples of text rendering. https://t.co/wzoZmyBWv9

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Qwen-Image-2.1 supports a variety of editing tasks while balancing performance across them. For example, given a three-view character reference, the model generates a complete storyboard. https://t.co/CKELeRLyhH

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September 19, 2026

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Skeptical geneticist: "pfft, it's just frog DNA. And they deliberately let them eat people for the marketing."

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A great example of practical AI solving real-world problems! Faster than ever. Thanks for building with Qwen. @cerebras Try it out for yourself! 🏠

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September 18, 2026

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We’re partnering with Accenture on independent evaluation of frontier AI—part of our recent commitment to embed evaluators at Anthropic. Both we and Accenture expect to invest at least $1 billion to build capacity in this area over the next five years. https://t.co/SHVzjpgnfx

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Being a computer scientist who refuses to find anything about LLMs interesting right now is a bit like being a geneticist who refuses to find anything interesting about the recently opened Jurassic Park

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This new Claude Code mods system looks pretty interesting - more example mods here: https://t.co/muUA4F6UiX

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Finally! This is great, now I can stop dropping CLAUDEmd files which just contain "@AGENTSmd"

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It’s time for our end-of-week recap 👇 — Gemini 3.8 Live and 3.8 Live Extended Thinking, our most advanced live dialogue audio models yet — Dreambeans, an experiment from @GoogleLabs that curates a daily personalized collection of stories, is now GA — CC from @GoogleLabs has expanded from a personal productivity tool into a shared agent, designed to help families and households coordinate logistics, schedules, and daily tasks — Google Pics, a new @GoogleWorkspace tool that lets you generate, refine, and co-create images, is now GA — AlphaGenome Atlas, @GoogleDeepMind's new interactive platform for genomics discovery

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TIL that 1988 classic Who Framed Roger Rabbit features a pelican riding a bicycle! https://t.co/FUgBB3NNxZ https://t.co/ZsHKLUl4VV

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We are aware of a claim alleging unauthorized access to our systems. Following a thorough investigation, we have found no evidence to support this claim and can confirm that our systems have not been compromised.

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September 17, 2026

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To show what these optimizations make possible, we’re partnering with Adaptyv Bio on a protein design competition. Together, we’ll be experimentally validating over 5,000 designs. We're providing up to $1 million in Claude credits plus funding alongside Adaptyv for experimental validation. Modal is contributing up to $250,000 in compute and Twist Bioscience is providing DNA. Learn more on Adaptyv’s Proteinbase: https://t.co/KnjkWbH7zh And sign up for the competition here: https://t.co/ytR2TAC3Vt

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You can find all of the code on GitHub: https://t.co/MmPk9hIZpx And the full results in our technical report: https://t.co/HSPEg5Gpsf

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Biologists use specialized open-source models for tasks like modeling the structure of molecular systems, designing drug-like molecules, and predicting the effects of genetic mutations. But these models are often expensive to run, potentially limiting their impact. In our latest Science Blog, we share how Claude was able to optimize inference for more than 30 open-source models, making them 4x faster on average, partly by writing custom software for GPUs. We’re open sourcing all of the optimization code. Read more: https://t.co/qiuN1jpgpA

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AI systems are getting more powerful, and they're increasingly being used to build the next version of themselves. We want to illuminate that progress for the public. Today, we're sharing three measurements that help track AI development: 1. How much AI R&D is done by AI. 2. How well AI agents are overseen. 3. How compute is allocated. We provide a snapshot of these metrics from inside Anthropic. Any frontier developer could publish the same measures, and third parties could verify them. As the world considers pacing the frontier, we should do everything possible to minimize the gap between what frontier labs know and what the public knows. This means better measuring the development of AI, publishing our findings, and giving society an opportunity to decide how to use this information. Read the full post and methodology: https://t.co/iPFz8Z4ugE

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Astra for Law will initially be offered to selected firms through Trusted Access in ChatGPT and Codex, with API access coming soon. We’ll maintain the legal configuration so builders can focus on their own products and workflows. We’ll build the next chapter of Astra for Law alongside the lawyers and legal technology partners who put it into practice. https://t.co/lTCLajwxN6

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We’re also launching 26 partner-built plugins and 47 community plugins for legal work in ChatGPT. Partners including @thomsonreuters, @harvey, @WeAreLegora, and @imanageinc connect specialist tools and knowledge. Community plugins built by lawyers and legal engineers give firms skills they can adapt and extend. The plugins bring more ways to build with the tools, knowledge, and people firms already rely on.

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Astra for Law: Frontier intelligence built for your practice. A new offering powered by GPT-6 Astra with tools, settings, and context to support the expertise and judgment of lawyers and legal technology firms. https://t.co/qxVRXkvp4o

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