Try today: http://replicate.com/bytedance/seedance-2.0-mini
GENERATIVE AI
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Brain reads threads and provides a complete deliverable
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Users can mention Brain on any task, doc, or discussion to read the entire thread, extract from connected apps like Google Drive, GitHub, and Slack via MCP, and then provide a complete deliverable. Try it.
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Seedance 2.5: 30s generations with up to 50 references
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Wow. Seedance is really good at turning greyboxed 3d references into final quality pixels. Like really good.
— Bilawal Sidhu (@bilawalsidhu) 24 juin 2026
Seedance 2.5 coming with 30 second generations and up to 50 (!) references is gonna be mad. Try the workflow Reid is running below. pic.twitter.com/OtbSzfCFhZWow. Seedance is really good at turning grayed-out 3D references into final-quality pixels. Really good. Seedance 2.5 is coming with 30-second generations and up to 50 (!) references — it's going to be insane. Try the workflow Reid runs below.
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Critique of the Real Intelligence of Claude and ChatGPT
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I have no sophisticated benchmarks other than: I don't know how you can see Claude or ChatGPT conceive in the same way and write in the same way and believe that it is intelligent in any real way.
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AI coding: 84% usage, 24% trust, calibration crucial
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84% of developers use AI to code. 24% trust what it writes. Compliance has moved to the govtech center. Innovation stalls before guardrails land on reeal evidence. Read @DominoDataLab
's Chris Elsins in @ComputerWeekly on why calibration matters: -
Fugu-Ultra live on OpenRouter, sharing vision of collective intelligence
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Fugu-Ultra is now live on @OpenRouter
! We share a core vision with the OpenRouter team: the future of AI isn’t a single monolithic model, but the collective intelligence of the world’s best models working together. Try it: https://
openrouter.ai/sakana/fugu-ul
tra
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Jalapeño: new LLM inference hardware with incredible perf per watt
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Introducing Jalapeño — designed from scratch for LLM inference over nine months, accelerated by our models. Perf per watt looking incredible.
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Stony Brook researchers propose roadmap for self-improving LLMs
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What if AI could train itself better than humans can? Researchers from Stony Brook University's Zesearch NLP Lab lay out a roadmap for self-improving LLMs. Their framework turns model development into a closed loop: models generate their own training data, pick the most useful
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Stanford HAI study evaluates AI chatbots as news intermediaries
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Can AI chatbots be trusted as news intermediaries? A new study partially supported by @StanfordHAI evaluates the promise and risks of consuming today’s headlines through AI. @james_y_zou @suzgunmirac https://
hai.stanford.edu/news/reading-t
odays-headlines-through-ai-a-real-time-audit-of-six-commercial-chatbots
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Runway now localizes any ad into multiple languages with one click
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New in Runway, you can now localize ads.
— Runway (@runwayml) 24 juin 2026
One image in, any language out. Input a single ad and get a version for every market. All with a single click. pic.twitter.com/KsW65bhyg5New in Runway, you can now localize ads. One image in, any language out. Input a single ad and get a version for every market. All with a single click.