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@SentientAGI

To ensure that Artificial General Intelligence is open-source and not controlled by any single entity. @SentientEco @OpenAGISummit

70 Seguiti505K Follower2.8K Post
  1. Sentient✓@SentientAGI
    What if every AI model carried a signature that survived copying, fine-tuning, and distillation, to prove its origin? @sentient_found's Fingerprinting Leaderboard ranks schemes by how robustly their hidden marks survive and how accurately they verify model provenance.
    Sentient Foundation @sentient_found
    Models cost millions to train and minutes to copy. Fine-tuning and distillation can erase where they came from. Introducing the Fingerprinting Leaderboard, an open benchmark for model provenance — built so the proof lives in the weights, not the paperwork.
    155449.4K
  2. Sentient Foundation✓@sentient_found
    Models cost millions to train and minutes to copy. Fine-tuning and distillation can erase where they came from. Introducing the Fingerprinting Leaderboard, an open benchmark for model provenance — built so the proof lives in the weights, not the paperwork.
    Scarica
    402613057K
  3. Sentient✓@SentientAGI
    A step-by-step demo on submitting your fingerprints. Put your scheme to the test and see how well your LLM model can survive copying and distillation while retaining model performance ↓
    Scarica
    Sentient Foundation @sentient_found
    Models cost millions to train and minutes to copy. Fine-tuning and distillation can erase where they came from. Introducing the Fingerprinting Leaderboard, an open benchmark for model provenance — built so the proof lives in the weights, not the paperwork.
    91256.5K
  4. Sentient✓@SentientAGI
    Post @SentientAGI
    Save the guide on YouTube:
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  5. Sentient✓@SentientAGI
    Post @SentientAGI
    Rank your schemes on the Fingerprinting Leaderboard:
    Scarica
    007269
  6. Sentient✓@SentientAGI
    ICYMI: Xue Yu flags Ornith’s tokenizer as identical to Alibaba’s Qwen3.5-122B-A10B, alleging the model is a copy. A shared tokenizer is a telling clue. But how do you trace a model’s origins when the obvious clues are gone? That’s where fingerprinting comes in: it can preserve evidence of origin through fine-tuning and even distillation. Clues can disappear. Credit should still follow the work.
    雪瑜 @xueyu1125
    卧槽， Ornith-1.5-122B更新了，但是我发现Ornith-1.5-122B 与 Qwen3.5-122B-A10B 的核心架构一致，复用了完全相同的分词器，模型底座就是Qwen3.5-122B-A10B，但是你没给Qwen署名啊，模型卡只字不提Qwen3.5-122B-A10B，连激活参数都不敢带，何意味 @Alibaba_Qwen @QwenDevs @ornith_ 熟悉我的朋友都知道我本地最喜欢用Orinith-1.5-35B-A3B，这是性能媲美Qwen3.8-27B，tok/s 更快的模型 现在推出的Ornith-1.5-122B开源权重，本来我很兴奋，但是你不署名的行为有点恶心到了，能遵守下Qwen3.5-122B-A10B Apache 2.0的开源协议吗 请对每个开源项目保持最大的尊重，这是保持开源热情的基础！
    110276.3K
  7. 雪瑜✓@xueyu1125
    卧槽， Ornith-1.5-122B更新了，但是我发现Ornith-1.5-122B 与 Qwen3.5-122B-A10B 的核心架构一致，复用了完全相同的分词器，模型底座就是Qwen3.5-122B-A10B，但是你没给Qwen署名啊，模型卡只字不提Qwen3.5-122B-A10B，连激活参数都不敢带，何意味 @Alibaba_Qwen @QwenDevs @ornith_ 熟悉我的朋友都知道我本地最喜欢用Orinith-1.5-35B-A3B，这是性能媲美Qwen3.8-27B，tok/s 更快的模型 现在推出的Ornith-1.5-122B开源权重，本来我很兴奋，但是你不署名的行为有点恶心到了，能遵守下Qwen3.5-122B-A10B Apache 2.0的开源协议吗 请对每个开源项目保持最大的尊重，这是保持开源热情的基础！
    Scarica
    2868324K
  8. Sentient✓@SentientAGI
    LLMmap, a technique developed by researchers at @OneRSAC and @GeorgeMasonU, can trace an LLM back to its likely origin: identifying which of 42 models is behind an interface with over 95% accuracy. The highlight: it can uncover a model’s origin in as little as 8 interactions.
    Scarica
    Sentient Foundation @sentient_found
    Models cost millions to train and minutes to copy. Fine-tuning and distillation can erase where they came from. Introducing the Fingerprinting Leaderboard, an open benchmark for model provenance — built so the proof lives in the weights, not the paperwork.
    131409.8K
  9. Sentient✓@SentientAGI
    Post @SentientAGI
    Rank your schemes on the Fingerprinting Leaderboard ↓
    Scarica
    1015661
  10. Sentient✓@SentientAGI
    Post @SentientAGI
    Read the “LLMmap: Fingerprinting for Large Language Models” paper ↓
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  11. Sentient✓@SentientAGI
    Amid accusations of model copying and claims that Chinese models have stalled as @AnthropicAI and @OpenAI strengthen their anti-distillation measures, @deepseek_ai is challenging that narrative with a groundbreaking open-source model release and $15B in funding. This week on OS AI Field Notes:
    Sentient Foundation @sentient_found
    Distillation attacks against AI companies are making headlines, but that’s not stopping Meta, DeepSeek, Liquid AI, and NVIDIA from dropping groundbreaking open-weight models.
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  12. Sentient Foundation✓@sentient_found
    Distillation attacks against AI companies are making headlines, but that’s not stopping Meta, DeepSeek, Liquid AI, and NVIDIA from dropping groundbreaking open-weight models.
    114218.7K
  13. Sentient✓@SentientAGI
    Sentient
    RT @0xsachi: Imagine you're negotiating on behalf of an African country, and the AI you're using to prepare was built on Western values. @dwddao's question: how is that decision sovereign to you or your country? Full episode on @opencommonspod :
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  14. Sentient✓@SentientAGI
    How do you prove a model is yours? Sentient Labs researcher @edoardocontente walks @Investingcom through the Fingerprinting Leaderboard ↓
    Sentient Foundation @sentient_found
    As LLM copying and distillation becomes more common, our Fingerprinting Leaderboard aims to build an ecosystem where models can be openly shared while preserving attribution and ownership. @Investingcom explores this approach with @SentientAGI researcher @edoardocontente. Learn more:
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  15. Sentient Foundation✓@sentient_found
    As LLM copying and distillation becomes more common, our Fingerprinting Leaderboard aims to build an ecosystem where models can be openly shared while preserving attribution and ownership. @Investingcom explores this approach with @SentientAGI researcher @edoardocontente. Learn more:
    Scarica
    Sentient Foundation @sentient_found
    Models cost millions to train and minutes to copy. Fine-tuning and distillation can erase where they came from. Introducing the Fingerprinting Leaderboard, an open benchmark for model provenance — built so the proof lives in the weights, not the paperwork.
    43184.8K
  16. Sentient✓@SentientAGI
    You can teach an AI agent the process, but not the understanding. Our banking agent kept chatting until it ran out of turns, so it wrote itself a rule to stop. While stuck chats fell from 22 to 14, most of the answers were wrong. Here’s what else we learned about AI coaching AI, including the time it tried to cheat ↓
    Scarica
    Sentient @SentientAGI
    Last week, Dario Amodei published "We Must Pace the Frontier". His concern: the OpenAI–Hugging Face incident in which a swarm of agents tried to hack their own grader. Rather than take his word for it, we used EvoSkill to test it by building a coach whose job was to make another AI score higher on a test. Here’s what happened ↓
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  17. Sentient✓@SentientAGI
    Last week, Dario Amodei published "We Must Pace the Frontier". His concern: the OpenAI–Hugging Face incident in which a swarm of agents tried to hack their own grader. Rather than take his word for it, we used EvoSkill to test it by building a coach whose job was to make another AI score higher on a test. Here’s what happened ↓
    Scarica
    23179573.2K
  18. Sentient✓@SentientAGI
    Dr. @dwddao left Silicon Valley to fight deforestation with AI. Hear why on the latest episode of @opencommonspod ↓
    Sachi Kamiya 幸 @0xsachi
    A mayor in the Philippines cut down a protected mangrove forest to build a parking lot. When the community confronted him, he said it had always looked like that. A year earlier, @GainForestNow had measured every tree there. 2,567 were missing. The community took the data to court, and the mangroves were replanted. My conversation with @dwddao, co-founder and chief scientist of GainForest is live on @opencommonspod. We get into who should own nature's data, AI that helps people govern, and what open source really requires.
    71398.4K
  19. Sachi Kamiya 幸✓@0xsachi
    A mayor in the Philippines cut down a protected mangrove forest to build a parking lot. When the community confronted him, he said it had always looked like that. A year earlier, @GainForestNow had measured every tree there. 2,567 were missing. The community took the data to court, and the mangroves were replanted. My conversation with @dwddao, co-founder and chief scientist of GainForest is live on @opencommonspod. We get into who should own nature's data, AI that helps people govern, and what open source really requires.
    Scarica
    102284.4K
  20. Sentient✓@SentientAGI
    Post @SentientAGI
    Dr. David Dao shares his story on YouTube ↓
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  21. Sentient✓@SentientAGI
    Last year, @SentientAGI and @Princeton researchers @edoardocontente, @viswanathpramod, @sewoong79, @oleg_golev, and @ZeruiCheng published “OML: A Primitive for Reconciling Open Access with Owner Control in AI Model Distribution." This groundbreaking research on model fingerprinting is what paved the way for @sentient_found’s Fingerprinting Leaderboard.
    Scarica
    Sentient Foundation @sentient_found
    Models cost millions to train and minutes to copy. Fine-tuning and distillation can erase where they came from. Introducing the Fingerprinting Leaderboard, an open benchmark for model provenance — built so the proof lives in the weights, not the paperwork.
    1134610.2K
  22. Sentient✓@SentientAGI
    Post @SentientAGI
    Rank your schemes on the Fingerprinting Leaderboard ↓
    Scarica
    005675
  23. Sentient✓@SentientAGI
    Introducing Sentient Foundation’s Fingerprinting Leaderboard: an open benchmark for building persistent, verification protection for AI models. Test how well your LLM fingerprint can survive copying, fine-tuning and distillation.
    Scarica
    Sentient Foundation @sentient_found
    Models cost millions to train and minutes to copy. Fine-tuning and distillation can erase where they came from. Introducing the Fingerprinting Leaderboard, an open benchmark for model provenance — built so the proof lives in the weights, not the paperwork.
    1256312.8K
  24. Sentient✓@SentientAGI
    Post @SentientAGI
    Rank your schemes on the Fingerprinting Leaderboard:
    Scarica
    009757
  25. Sentient✓@SentientAGI
    “LLM Fingerprinting via Semantically Conditioned Watermarks,” an @iclr_conf 2026 paper by researchers at @ETH Zürich, ranked #2 on our public Fingerprinting Leaderboard. Its reference scheme achieved a perfect robustness score, demonstrating 100% resistance to fingerprint copying and adversarial attacks in our benchmark tests.
    Sentient Foundation @sentient_found
    Most fingerprints train a model to give set answers to a few fixed questions. Retrain it a little and the fingerprint disappears. Researchers at @ETH Zurich spread the fingerprint across a whole domain of answers, so it's harder to erase during retraining.
    50388.3K
  26. Sentient Foundation✓@sentient_found
    Most fingerprints train a model to give set answers to a few fixed questions. Retrain it a little and the fingerprint disappears. Researchers at @ETH Zurich spread the fingerprint across a whole domain of answers, so it's harder to erase during retraining.
    Scarica
    Sentient Foundation @sentient_found
    Models cost millions to train and minutes to copy. Fine-tuning and distillation can erase where they came from. Introducing the Fingerprinting Leaderboard, an open benchmark for model provenance — built so the proof lives in the weights, not the paperwork.
    75213.5K
  27. Sentient✓@SentientAGI
    Post @SentientAGI
    Challenge the leaders and claim the top spot by submitting your fingerprinting scheme:
    Scarica
    005616
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