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#foundationmodel — Public Fediverse posts

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

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  1. Korea Opens Citizen Lottery to Pick National AI Champion Starting Friday

    Bae Kyung-hoon, Deputy Prime Minister and Minister of Science and ICT poses for a photo with participants at…
    #EuropeSays #Korea #KR #SouthKorea #artificialintelligence #CitizenPanel #Dokpamo #foundationmodel #K-EXAONE2.0 #KoreaAIforAll #SouthKoreaAI #SovereignAIKorea
    europesays.com/korea/111342/

  2. Open-Source 700B Models Released Two Days Apart as Korea Nears Sovereign AI Elimination Round

    South Korea’s two largest sovereign AI competitors released rival foundation models within 48 hours of each other this…
    #EuropeSays #Korea #KR #A.XK2 #foundationmodel #K-EXAONE2.0 #Korean #LGAIResearch #MixtureofExperts #Open-SourceAIModel #SKTelecom #SouthKoreasovereignAI
    europesays.com/korea/106407/

  3. After Failing to Win Government AI Bid, Naver and NCSoft Pivot to Defense and Manufacturing AI — BigGo Finance

    Earlier this year, Naver Cloud and NC AI both suffered setbacks when they were rejected from South Korea’s…
    #EuropeSays #Korea #KR #Naver #foundationmodel #HanwhaOcean #HDKoreaShipbuilding&OffshoreEngineering #HyundaiRotem #KoreaAerospaceIndustries(KAI) #Krafton #NaverCloud #NCAI #physicalai #SKTelecom #SouthKorea'sAgencyforDefenseDevelopment #SovereignAI
    europesays.com/korea/93706/

  4. Noetra Launches Full-Scale R&D for Japan-Developed Multimodal Foundation Model: Press Releases

    Noetra Corp., along with its core member companies and investors—Sony Group Corporation, SoftBank Corp., NEC Corporation, and Honda…
    #EuropeSays #Japan #JP #AI #foundationmodel #multimodal #Nihon #Noetra #physicalai
    europesays.com/japan/59075/

  5. #Inkling is #ThinkingMachinesLab’s new #openweight Mixture-of-Experts #transformermodel with 975B total parameters, designed for customisation and multimodal capabilities. It excels in #agenticcoding, #tooluse, and #controllablethinking effort, making it a versatile #foundationmodel for various applications. Inkling also demonstrates strong performance in audio and vision tasks, and is well-calibrated for forecasting and prediction. thinkingmachines.ai/news/intro #tech #media #news

  6. #Inkling is #ThinkingMachinesLab’s new #openweight Mixture-of-Experts #transformermodel with 975B total parameters, designed for customisation and multimodal capabilities. It excels in #agenticcoding, #tooluse, and #controllablethinking effort, making it a versatile #foundationmodel for various applications. Inkling also demonstrates strong performance in audio and vision tasks, and is well-calibrated for forecasting and prediction. thinkingmachines.ai/news/intro #tech #media #news

  7. #Inkling is #ThinkingMachinesLab’s new #openweight Mixture-of-Experts #transformermodel with 975B total parameters, designed for customisation and multimodal capabilities. It excels in #agenticcoding, #tooluse, and #controllablethinking effort, making it a versatile #foundationmodel for various applications. Inkling also demonstrates strong performance in audio and vision tasks, and is well-calibrated for forecasting and prediction. thinkingmachines.ai/news/intro #tech #media #news

  8. #Inkling is #ThinkingMachinesLab’s new #openweight Mixture-of-Experts #transformermodel with 975B total parameters, designed for customisation and multimodal capabilities. It excels in #agenticcoding, #tooluse, and #controllablethinking effort, making it a versatile #foundationmodel for various applications. Inkling also demonstrates strong performance in audio and vision tasks, and is well-calibrated for forecasting and prediction. thinkingmachines.ai/news/intro #tech #media #news

  9. #Inkling is #ThinkingMachinesLab’s new #openweight Mixture-of-Experts #transformermodel with 975B total parameters, designed for customisation and multimodal capabilities. It excels in #agenticcoding, #tooluse, and #controllablethinking effort, making it a versatile #foundationmodel for various applications. Inkling also demonstrates strong performance in audio and vision tasks, and is well-calibrated for forecasting and prediction. thinkingmachines.ai/news/intro #tech #media #news

  10. Team Naver, KAI Join Forces to Develop Defense-Specialized AI Model

    Team Naver and KAI signed a strategic memorandum of understanding for “cooperation in aerospace and defense AI” at…
    #EuropeSays #Korea #KR #Naver #defenseAI #foundationmodel #futurecombatsystem #KAI #KoreaAerospaceIndustries #physicalai #SovereignAI
    europesays.com/korea/77695/

  11. #Apple announced a new #FoundationModel|s #framework with image input support, custom skills, and server-side model execution. #Xcode enhancements include app localisation, simulated device interaction, and expanded App Intents support. macrumors.com/2026/06/08/apple #AIagent #AI #ML #NLP #LLM #GenAI

  12. #Apple announced a new #FoundationModel|s #framework with image input support, custom skills, and server-side model execution. #Xcode enhancements include app localisation, simulated device interaction, and expanded App Intents support. macrumors.com/2026/06/08/apple #AIagent #AI #ML #NLP #LLM #GenAI

  13. #Apple announced a new #FoundationModel|s #framework with image input support, custom skills, and server-side model execution. #Xcode enhancements include app localisation, simulated device interaction, and expanded App Intents support. macrumors.com/2026/06/08/apple #AIagent #AI #ML #NLP #LLM #GenAI

  14. #Apple announced a new #FoundationModel|s #framework with image input support, custom skills, and server-side model execution. #Xcode enhancements include app localisation, simulated device interaction, and expanded App Intents support. macrumors.com/2026/06/08/apple #AIagent #AI #ML #NLP #LLM #GenAI

  15. #Apple announced a new #FoundationModel|s #framework with image input support, custom skills, and server-side model execution. #Xcode enhancements include app localisation, simulated device interaction, and expanded App Intents support. macrumors.com/2026/06/08/apple #AIagent #AI #ML #NLP #LLM #GenAI

  16. First Law of the LLMs:

    1) No LLM shall be configured to take the rights of the many’s interests to serve those of the few
    2) ….

    Can they be written from a training set to avoid the paradox of Asimov’s Robot laws?

    #Asimov #Foundation #FoundationModels #FoundationModel #paradox #Models #EthicalLaws #Philosophy #Dialectic #LLM #Ai

  17. First Law of the LLMs:

    1) No LLM shall be configured to take the rights of the many’s interests to serve those of the few
    2) ….

    Can they be written from a training set to avoid the paradox of Asimov’s Robot laws?

    #Asimov #Foundation #FoundationModels #FoundationModel #paradox #Models #EthicalLaws #Philosophy #Dialectic #LLM #Ai

  18. RE: mastodon.social/@thetransmitte

    Tl;dr: transformers didn’t learn the underlying principle.

    “Keyon Vafa and his colleagues simulated tens of millions of planetary orbits from Newton’s laws and trained a transformer on the resulting sequences. The model predicted future positions with very high accuracy. But when they fine-tuned it to infer the underlying gravitational force vectors, the model produced nonsense. The implied laws of gravitation were different depending on which subset of data the researchers examined. The transformer had assembled a patchwork of heuristics, accurate for every solar system in the training set, but it hadn’t discovered the universal gravitational principle. Without that principle, the model could predict the movement of points of light in the sky but could never send a rocket to the moon.”

    Also link to the preprint: arxiv.org/abs/2507.06952

    #neuroscience #prediction #FoundationModel