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#anthropics — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #anthropics, aggregated by home.social.

  1. From #OpenAI's solution to the Navier-Stokes Millennium Prize Problem to #Anthropic's proof of Fermat's Last Theorem, it's clear #AI is changing how mathematics is done. How will mathematicians adapt?

    spectrum.ieee.org/ai-in-mathem...

    #ai #math #openai #tech #ainews

  2. From #OpenAI's solution to the Navier-Stokes Millennium Prize Problem to #Anthropic's proof of Fermat's Last Theorem, it's clear #AI is changing how mathematics is done. How will mathematicians adapt?

    spectrum.ieee.org/ai-in-mathem...

    #ai #math #openai #tech #ainews

  3. From #OpenAI's solution to the Navier-Stokes Millennium Prize Problem to #Anthropic's proof of Fermat's Last Theorem, it's clear #AI is changing how mathematics is done. How will mathematicians adapt?

    spectrum.ieee.org/ai-in-mathem...

    #ai #math #openai #tech #ainews

  4. From #OpenAI's solution to the Navier-Stokes Millennium Prize Problem to #Anthropic's proof of Fermat's Last Theorem, it's clear #AI is changing how mathematics is done. How will mathematicians adapt?

    spectrum.ieee.org/ai-in-mathem...

    #ai #math #openai #tech #ainews

  5. From #OpenAI's solution to the Navier-Stokes Millennium Prize Problem to #Anthropic's proof of Fermat's Last Theorem, it's clear #AI is changing how mathematics is done. How will mathematicians adapt?

    spectrum.ieee.org/ai-in-mathem...

    #ai #math #openai #tech #ainews

  6. Neil deGrasse Tyson's StarTalk Podcast - February 28, 2026
    "How did we go from digital computers to AI seemingly everywhere? Neil deGrasse Tyson, Chuck Nice, & Gary O’Reilly dive into the mechanics of thinking, how AI got its start, and what deep learning really means with cognitive and computer scientist, Nobel Laureate, and one of the architects of AI, Geoffrey Hinton.

    "Hinton explains the fundamental shift from logic-based rule programming to the biological approach: building systems that learn the way a brain does. Learn about the history of computer science that led to the breakthroughs we have today. We break down the structure of artificial neural networks and the meaning of AI buzzwords like “deep learning” really mean. You’ll learn about the layering of data processing and how the first layer of neurons might detect a simple edge, the second a beak, and the third a bird’s head."

    Apologies for going overboard with the mentions and hashtags, but this was one deep podcast and there were a lot of topics covered that are relevant to AI:

    Companies mentioned: #Anthropics #Google #OpenAI #Microsoft #Meta #ChatGPT

    #AI #ArtificialIntelligence #AIEthics #LLM #LargeLanguageModel #HumanReinforcement #Singularity #Science #Research #TurningPrize #NobelPrize #StockMarket #AIBubble #Jobs #Employment #Heathcare #SocialConsequences #Consciousness #Sentience #SubjectiveExperience

    youtu.be/l6ZcFa8pybE?si=vElwiA

  7. Ars Technica: “First of its kind” AI settlement: Anthropic to pay authors $1.5 billion. “Authors revealed today that Anthropic agreed to pay $1.5 billion and destroy all copies of the books the AI company pirated to train its artificial intelligence models.” According to The Atlantic article/database, at least five of my books were used to train Anthropic’s AI. I’m not sure if this is […]

    https://rbfirehose.com/2025/09/06/first-of-its-kind-ai-settlement-anthropic-to-pay-authors-1-5-billion-ars-technica/