01 / belief
I think there is definitely some stuff you can think, like, on architectural side.
“I think there is definitely some stuff you can think, like, on architectural side.”
- Speaker
- Alexander Panfilov
- Publisher
- Machine Learning Street Talk
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Alexander Panfilov
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What Alexander said.
5 transcript-backed records
02 / belief
I think, like, if they knew what's happening, they would, like, get rid of it or, like, you know, maybe just some RL artifact.
“I think, like, if they knew what's happening, they would, like, get rid of it or, like, you know, maybe just some RL artifact.”
- Speaker
- Alexander Panfilov
- Publisher
- Machine Learning Street Talk
03 / prediction
Or or just confirms because, like, you know, Codex or Cloud Cloud implemented this, and now we have this massive vulnerability.
“Or or just confirms because, like, you know, Codex or Cloud Cloud implemented this, and now we have this massive vulnerability.”
- Speaker
- Alexander Panfilov
- Publisher
- Machine Learning Street Talk
04 / commitment
I mean, I think also opening eyes have this after all this into Zen's, like, now we are expanding our, like, train of thought monitors and, like, we're putting more effort into it. And, yeah, I think we need just, you know, do more safety mitigations, do more monitoring, see what's model is up to, try to see where it's come from, and maybe we can mitigate it.
“I mean, I think also opening eyes have this after all this into Zen's, like, now we are expanding our, like, train of thought monitors and, like, we're putting more effort into it. And, yeah, I think we need just, you know, do more safety mitigations, do more monitoring, see what's model is up to, try to see where it's come from, and maybe we can mitigate it.”
- Speaker
- Alexander Panfilov
- Publisher
- Machine Learning Street Talk
05 / evaluation
We decoded with them. It was, I think, around 350,000 reasoning blobs, and then we just, like, ran a classifier on those whether they have some privacy related information.
“We decoded with them. It was, I think, around 350,000 reasoning blobs, and then we just, like, ran a classifier on those whether they have some privacy related information.”
- Speaker
- Alexander Panfilov
- Publisher
- Machine Learning Street Talk