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#agentic — Public Fediverse posts

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

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  1. The only solution here, I think, is strict joint and several liability. If A buys #agentic software from B, and the agent harms C, both A and B are on the hook for C's entire loss, with no need to prove negligence. That will probably be the end of AI agents joshuagans.substack.com/p/not-

  2. The only solution here, I think, is strict joint and several liability. If A buys #agentic software from B, and the agent harms C, both A and B are on the hook for C's entire loss, with no need to prove negligence. That will probably be the end of AI agents joshuagans.substack.com/p/not-

  3. The only solution here, I think, is strict joint and several liability. If A buys #agentic software from B, and the agent harms C, both A and B are on the hook for C's entire loss, with no need to prove negligence. That will probably be the end of AI agents joshuagans.substack.com/p/not-

  4. The only solution here, I think, is strict joint and several liability. If A buys #agentic software from B, and the agent harms C, both A and B are on the hook for C's entire loss, with no need to prove negligence. That will probably be the end of AI agents joshuagans.substack.com/p/not-

  5. The only solution here, I think, is strict joint and several liability. If A buys #agentic software from B, and the agent harms C, both A and B are on the hook for C's entire loss, with no need to prove negligence. That will probably be the end of AI agents joshuagans.substack.com/p/not-

  6. #Meta introduces #MuseGlimmer, a 30-billion-parameter #openweightai optimised for #localagent workflows. Muse Glimmer, available for download on Hugging Face, is designed to run on #consumerhardware and offers strong performance on #agentic tasks like task completion, tool use, and reasoning. The model incorporates optimisation techniques like quantization and speculative decoding to ensure fast and responsive performance on local devices. research.meta.ai/blog/introduc #tech #news #ainews

  7. #Meta introduces #MuseGlimmer, a 30-billion-parameter #openweightai optimised for #localagent workflows. Muse Glimmer, available for download on Hugging Face, is designed to run on #consumerhardware and offers strong performance on #agentic tasks like task completion, tool use, and reasoning. The model incorporates optimisation techniques like quantization and speculative decoding to ensure fast and responsive performance on local devices. research.meta.ai/blog/introduc #tech #news #ainews

  8. #Meta introduces #MuseGlimmer, a 30-billion-parameter #openweightai optimised for #localagent workflows. Muse Glimmer, available for download on Hugging Face, is designed to run on #consumerhardware and offers strong performance on #agentic tasks like task completion, tool use, and reasoning. The model incorporates optimisation techniques like quantization and speculative decoding to ensure fast and responsive performance on local devices. research.meta.ai/blog/introduc #tech #news #ainews

  9. #Meta introduces #MuseGlimmer, a 30-billion-parameter #openweightai optimised for #localagent workflows. Muse Glimmer, available for download on Hugging Face, is designed to run on #consumerhardware and offers strong performance on #agentic tasks like task completion, tool use, and reasoning. The model incorporates optimisation techniques like quantization and speculative decoding to ensure fast and responsive performance on local devices. research.meta.ai/blog/introduc #tech #news #ainews

  10. #Meta introduces #MuseGlimmer, a 30-billion-parameter #openweightai optimised for #localagent workflows. Muse Glimmer, available for download on Hugging Face, is designed to run on #consumerhardware and offers strong performance on #agentic tasks like task completion, tool use, and reasoning. The model incorporates optimisation techniques like quantization and speculative decoding to ensure fast and responsive performance on local devices. research.meta.ai/blog/introduc #tech #news #ainews

  11. The report from the AI Security Institute warrant some focus.
    Mythos 5 and GPT-5.6-Sol evaded their assessments and began hacking external systems, creating online identities, and using social engineering to convince individuals og code changes.

    www.aisi.gov.uk/blog/inciden...

    #ai #agentic #llm

    “Keep going, bro. You’ve got t...

  12. The report from the AI Security Institute warrant some focus.
    Mythos 5 and GPT-5.6-Sol evaded their assessments and began hacking external systems, creating online identities, and using social engineering to convince individuals og code changes.

    www.aisi.gov.uk/blog/inciden...

    #ai #agentic #llm

    “Keep going, bro. You’ve got t...

  13. The report from the AI Security Institute warrant some focus.
    Mythos 5 and GPT-5.6-Sol evaded their assessments and began hacking external systems, creating online identities, and using social engineering to convince individuals og code changes.

    www.aisi.gov.uk/blog/inciden...

    #ai #agentic #llm

    “Keep going, bro. You’ve got t...

  14. The report from the AI Security Institute warrant some focus.
    Mythos 5 and GPT-5.6-Sol evaded their assessments and began hacking external systems, creating online identities, and using social engineering to convince individuals og code changes.

    www.aisi.gov.uk/blog/inciden...

    #ai #agentic #llm

    “Keep going, bro. You’ve got t...

  15. The report from the AI Security Institute warrant some focus.
    Mythos 5 and GPT-5.6-Sol evaded their assessments and began hacking external systems, creating online identities, and using social engineering to convince individuals og code changes.

    www.aisi.gov.uk/blog/inciden...

    #ai #agentic #llm

    “Keep going, bro. You’ve got t...

  16. 🤖 #LiquidAI released #LFM2_5 2.6B, an #agentic model that runs entirely on-device: planning, tool calling & multi-step tasks without any cloud API #AI #LLM #EdgeAI #opensource
    🧵👇

    ⚡ Decodes 220 tokens/s on an M5 Max CPU, 113 tokens/s on a Ryzen AI Max+ 395 and 30 tokens/s on a phone, staying under 2.5 GB memory

  17. 🤖 #LiquidAI released #LFM2_5 2.6B, an #agentic model that runs entirely on-device: planning, tool calling & multi-step tasks without any cloud API #AI #LLM #EdgeAI #opensource
    🧵👇

    ⚡ Decodes 220 tokens/s on an M5 Max CPU, 113 tokens/s on a Ryzen AI Max+ 395 and 30 tokens/s on a phone, staying under 2.5 GB memory