Sentient Foundation is a non-profit dedicated to open-source AGI, free from single-entity control. Advancing the future through @SentientAGI.
San Francisco
Joined February 2025
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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.
fingerprint.sentient.foundat…
Want to top our Fingerprinting Leaderboard? Your ranking depends on three criteria, but here are the main ones you should pay attention to:
Robustness measures how well your fingerprint survives distillation, fine-tuning, and copying.
Utility measures how capable your model still is after it’s been fingerprinted.
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.
fingerprint.sentient.foundat…
Verification, the final criterion, measures how reliably your fingerprint can be detected when the model is asked a secret question.
Find out where your scheme sits on fingerprint.sentient.foundat…
Sentient Foundation retweeted
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 : youtu.be/o2j8Od1mvow?si=av0b…
🤖 Made with AI
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: investing.com/news/press-rel…
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.
fingerprint.sentient.foundat…
From working on self-driving cars to protecting rainforests, Dr. @dwddao of @GainForestNow has seen firsthand what AI is capable of.
Hear why he thinks AI works best as public infrastructure for the commons, rather than a tool for the rich, on the latest @opencommonspod ↓
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.
Dr. David Dao shares his story on YouTube ↓
youtube.com/watch?v=o2j8Od1m…
Believe it or not, our Fingerprinting Leaderboard has been a year in the making.
See where it all began with @sentientagi’s @NeurIPSConf-accepted paper on OML ↓
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.
Rank your schemes on the Fingerprinting Leaderboard ↓
fingerprint.sentient.foundat…
Rank your schemes on the Fingerprinting Leaderboard ↓
fingerprint.sentient.foundat…
Our SF Tech Week happy hour at Novela, led by our Director of Events & Community @its_mils_, was one for the books 📚
Thanks to @WithAmpersand, @rootlyhq, @gauge_sh, and all the builders who stopped by to share notes on enterprise agents and open-source AGI!
Builders, don't forget our happy hour tomorrow 🥂
Join @WithAmpersand, @rootlyhq, and @sentient_found for an evening with the people building enterprise agents and open AGI.
📍 Novela, 662 Mission St, San Francisco
🗓 Thur, Oct 8th, 5:30-9:00PM PT
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.
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.
fingerprint.sentient.foundat…
Rank your schemes on the Fingerprinting Leaderboard ↓
fingerprint.sentient.foundat…
Read the “LLM Fingerprinting via Semantically Conditioned Watermarks” paper from @ETH Zurich ↓
arxiv.org/abs/2505.16723
For @0xsachi, model fingerprinting is “the AI equivalent of the hidden marks Renaissance painters used to establish authorship.”
Learn more about @sentient_found's Fingerprinting Leaderboard in this latest feature from @QZ ↓
LATEST FROM @QZ: An open benchmark to counter and prove AI models copying, fine-tuning and distillation.
Learn more: qz.com/sentient-launches-fir…
Rank your schemes on the Fingerprinting Leaderboard ↓
fingerprint.sentient.foundat…
Lexicographers, mapmakers, and painters all found ways to prove where their work came from.
Now, AI can carry provenance of its own: not in the logs, metadata, or outside investigation, but in the model itself.
Learn more ↓
sentient.foundation/news/fin…
Check out @qz's feature on our Fingerprinting Leaderboard ↓
xitter.cf/qz/status/211039451230…
Who Owns an AI? A New Benchmark Wants to Find Out
As AI models are copied, distilled, and redistributed at scale, proving where they came from has become one of the industry's thorniest problems. Sen
qz.com/sentient-launches-fir…
#AIOwnership #ModelFingerprinting #SentientFoundation
