I don’t usually get excited about Claude models at all. Look at my track record. When it comes back, try it on a task you feel is completely out of reach for modern AI. Use a /loop prompt that provides a way to verify the result, and tell it not to stop until it’s perfect.
LLMS
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Seedance 2.0, Hyperframes, Remotion with Claude for programmatic videos
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Seedance 2.0 for pixel video generation, Hyperframes and Remotion with Claude models for programmatic videos.
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Fable’s magic lies in tasks beyond other models’ capabilities
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Seeing so many people saying Fable wasn’t that much better than other models. Sure, if you’re just doing normal frontend/backend work that Opus/GPT 5.5 can already do, it’s going to feel basically the same. The magic comes when you’re asking it to do things other models can’t.
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Google’s privacy restrictions hinder Gemini’s performance versus rivals
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There is a simple reason why Gemini is so much worse than GPT or Claude engineers at OpenAI or Ant can read incoming user queries. all the data is visible but at Google there are tons of privacy restrictions preventing ppl from looking at data basically building a model blind
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Claude AI interface struggles with line breaks, stanzas there
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The Claude AI interface struggles with line breaks. The stanzas are there.
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GLM-5.2 Max gives correct poem, Fable weaves disappearing letters into theme
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Credit to GLM-5.2 Max, the new open weights model, for pulling this off. …but you can see the difference between it and Fable in a way benchmarks don't show. GLM-5.2 gives a correct poem (& the Welsh is fun) but Fable weaves the disappearing letters into the theme of the poem.
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NVIDIA thanks Satya Nadella for MLPerf record on Blackwell
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Thank you @satyanadella Excellent work with @Azure on one of the largest MLPerf Training submissions to date on NVIDIA Blackwell: 8,192 GPUs on NVIDIA GB200 NVL72 systems, Llama 3.1 405B training goal achieved in just 7.07 minutes. More to come
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Fusion Agents combine open and closed AI to build SaaS apps
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🚨 FUSION AGENTS – Build Complete SaaS Apps, Accept Payments – combine open and closed AI
— Abacus.AI (@abacusai) 17 juin 2026
Fusion agents combine Kimi 2.7 and GLM with Opus 4.8 and GPT 5.5
– multi-agent architectures with open-source sub-agents
– build complete SaaS apps
– one click connectors to 100+ products… pic.twitter.com/aw3B0IEGvQFUSION AGENTS – Build Complete SaaS Apps, Accept Payments – combine open and closed AI Fusion agents combine Kimi 2.7 and GLM with Opus 4.8 and GPT 5.5 – multi-agent architectures with open-source sub-agents
– build complete SaaS apps
– one click connectors to 100+ products -
GLM 5.2 numbers imply quicker Fable 5 arrival than predicted
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GLM 5.2 numbers make me believe I was too conservative in my own prediction 2 months tops and we'll have Fable 5 at home
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DeepSeek rewires residual connections that power AI
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DeepSeek Is Rewiring the Residual Connections That Still Power AI! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming