talk to AI -> create AI art -> robot builds it. Future gonna be so awesome
AI
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New AI boasts 5x faster architecture at 30% lower cost
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"The architecture is incredibly fast." "5x faster." "30% cheaper." Here's the new AI.
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Jensen mentions Hermes as ‘incredible agentic harness’ in keynote
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Hey @Teknium I just heard Jensen mention Hermes for the first time in a keynote. Says it is an "incredible new agentic harness."
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Claude’s Higgsfield Reframe: Stop Cropping, Preserve Backgrounds Across Aspect Ratios
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You may now stop cropping your shots!
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 1 juin 2026
Claude now supports Higgsfield Reframe: give a reference image and it preserves backgrounds across any aspect ratio – perfect for podcasts, IRL streams, commercials, films, and cartoons.
Use it on Higgs or inside Claude via Higgs MCP.… pic.twitter.com/d8gyLfrstMYou may now stop cropping your shots! Claude now supports Higgsfield Reframe: give a reference image and it preserves backgrounds across any aspect ratio – perfect for podcasts, IRL streams, commercials, films, and cartoons. Use it on Higgs or inside Claude via Higgs MCP.
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Large scale pretrained models remain important in AI
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This was right five years ago, and still is: “Large scale pretrained models are certainly likely to figure prominently in artificial intelligence for the near future, and play an important role in commercial AI for some time to come. The results that have been achieved with them
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Marcus and Davis 2021 insight on large pretrained models
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and see Marcus and Davis, all the way back in 2021: “Large scale pretrained models are certainly likely to figure prominently in artificial intelligence for the near future, and play an important role in commercial AI for some time to come. The results that have been achieved
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LLMs as bandaids: need for a sounder AI foundation
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Current AI is bandaids all the way down; LLMs can’t play nicely with basic tools like databases and knowledge graphs, and you never know what you are going to get. It’s long time to face facts: LLMs have their uses, but we need a sounder foundation for AI.
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Summer of wild innovations for open-source AI
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This will be the summer where we make crazy wild things happen to opensource AI
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Benchmarks are boring; enterprises need shipping LLM capabilities now.
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Wall Street is watching frontier model benchmark porn while enterprises quietly die waiting for capabilities that actually ship. MMLU and HLE were very useful for about a nano-second. But now they are just boring. We don’t need to know how well an LLM can do on a test. We need