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A meta point as someone who has been working in mathematical signal processing and ML professionally for a while -- at the time of writing, every single comment
by heyitsguay 3y ago
A meta point as someone who has been working in mathematical signal processing and ML professionally for a while -- at the time of writing, every single comment in this thread displayed a serious (yet unique!) misconception about AI, either as it works today or in general. I understand why it's gotten so buzzy in popular discourse, but it's sadly all but ruined discussion on social media (including HN).
Are there any good, maybe more gatekept forums for discussing AI news? It is great to have a community to discuss with, the field is so large and moving so fast, and there's so much to learn from other practitioners, but the SNR here (where i often find news) has just gotten so low.
- erulabs 3y agoWhy not use your experience and expertise to join the conversations and offer corrections to the misunderstanding? From my perspective, this is easily the lowest SNR comment on this post.
- gochi 3y agoThat's not how public forums work. Unless you are put on a pedestal (which is effectively what writing your own articles, joining larger organizations, making your own content, etc does), you will be drowned out by misunderstandings and misinformation. There will always be a much greater effort required tackling bad information than it takes to post that bad information. This is why public forums are a terrible place for debates or discussions. It's also why you're considering their post a lower SNR when it's really not, certainly not in comparison to those just claiming that it's possible with a sort of blind optimism or ranting about bots or what have you. Important to signify here, I don't lean in any which direction on this specific topic, but just highlighting how the low effort posts being viewed as higher SNR to you is exactly what leads to more noise on public forums. Early bird gets the worm, and all that fun jazz!
- mindcrime 3y agoAs someone who also works professionally in this field, I'd be curious to know what you find problematic about my comment. I'll grant you that I may be over-simplifying a bit, but it seems appropriate in the context at hand.
- heyitsguay 3y agoActually you're right, that was my mistake. Current-gen autoregressive token predictor "hallucinations" probably can't be fixed, but yeah, the way forward will involve new architectures and I would place my bets that something like world models will be involved to ground generative output.
- mindcrime 3y agoAh OK. You had me scared there for a minute. :-)