AdamGleave

4 ms·

1. 1.▲
   Show HN: AI Security Leaderboard – comparing cyber and CBRN safeguards(leaderboard.far.ai)

   4 points by AdamGleave 2mo ago|0 comments
2. 2.▲
   by AdamGleave 4y ago

   One of the authors of the paper here! David Wu (aka lightvector), the creator of the KataGo AI system that we target, is actually doing a training pass now initializing self-play games to start at adversarial positions found by our adversar
3. 3.▲
   by AdamGleave 4y ago

   One of the authors here! I think from a perspective of humans playing Go this result is not very interesting since, as you say, Tromp-Taylor isn't the kind of ruleset humans like to play under. But KataGo was trained under (modified)
4. 4.▲
   by AdamGleave 4y ago

   One of the authors here! We evaluated our matches using KataGo. In fact, our adversary is just a forked version of KataGo. We use the same modified Tromp-Taylor rules for eval. We elaborate on that more in the Reddit thread you link at [3]
5. 5.▲
   by AdamGleave 4y ago

   One of the authors here! Great to see some discussion in the paper. Your summary of computer Go vs human rule sets seems right to me. But I think there might be a slight misunderstanding. We had friendlyPassOk set to false for all of our ev