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Runtime AI safety and alignment infrastructure

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Introducing Halo, the best framework for post-training of open-source models.

Halo delivers up to 2.8x the throughput of stock TRL with less peak memory, while models stay in their native HuggingFace format.

Star us on GitHub: https://t.co/3mAiUljdrN

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We have an internal "random" channel on Slack where the team shares whatever they find interesting. It naturally became an AI safety digest, so we decided to turn it into a weekly newsletter.

Peek inside: https://t.co/Z7xXoQHB3X

[Ars Technica @arstechnica]

OpenAI, Google pushing new AI models easily tricked into making nudes, researchers say https://t.co/KN6uzpWxDZ

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@MattHartman @mixedenn 🤍🤍🤍

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@nikitaandersso3 🤍🤍🤍

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@Inomsxbt yes, exactly!

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We are open-sourcing RISE, our red-teaming algorithm that breaks the safeguards of the latest image models from OpenAI, DeepMind, and others.

RISE uses readily available models like Qwen and Gemini Flash under the hood, with no additional training required.

Read more: https://t.co/kt8ub0OmeW

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@haukejung we totally agree

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@victor_bigfield thanks! 🤍

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@Jtyles thanks! 🤍

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@mahanot_dikshit we agree

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@arsenfounder thanks! 🤍

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@CodeWithAmann thanks!

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@babayagatwt thank you!

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@prasann_pandya true, and it is very concerning

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@skpnky thank you! please let us know your thoughts

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@DanielSmidstrup hopefully everyone stays safe along the way

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@justabdulraouf ⚪️

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@Guronnimo thank you!

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@majoragv exactly

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@outgr33d 🤍