Post #1253955
2026-04-09 07:13 UTC
@dngrs Well, you're partly correct, partly wrong. Yes, pretrained transformers are, like all generative models, definitionally modelling a joint probability distribution, and autoregressively generating from that joint probability distribution.
Those are the models you're referring to as autocomplete tools, hence why you had to use `[MASK]` with early transformers like BERT to get them to complete the "most probable token".
Regardless, it doesn't matter what Anthropic did, if it allows for a massive reduction in cost of finding zero days, it's a problem. It doesn't have to be revolutionary, it doesn't have to be superintelligence, AGI, whatever woo-hoo flashy marketing terms. If a reduction in cost of computing protein folding happens, i.e. OpenFold implementation of AlphaFold, that wouldn't be revolutionary, but would still be dangerous, since you now potentially have lone actors being able to make prions at home (I'm using this as an absurd, but probable case).
@jenniferplusplus
Replies (1)
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@dngrs@chaos.social 2026-04-09 08:53
@budududuroiu @jenniferplusplus it's funny you bring up AlphaFold because that also has been way overhyped, according to people working in the field (I don't have links to individual statements anymore sadly, been a few years but the Wikipedia page also mentions e.g. AF not really understanding folding). Anyway: as long as there is no concrete data regarding severe CVE increase with a causal link to newer LLMs (which again are still LLMs that do not understand facts) I'll keep holding my breath.