Viewing profile — Vetch
Vetch
HN member- Joined
- Thu, Nov 18, 2021, 9:13 PM UTC
- HN karma
- 683
- Public activity
- 231 items
- HN profile
- View on Hacker News ↗
About Vetch
No profile information was provided.
Recent public activity
-
comment
Comment #48474588
What constitutes serious work and how seriously have you tried to do serious work with them? While those trying to claim a 30B dense model can match Opus 4.6 are engaging in either…
-
comment
Comment #48474377
Interesting thought to consider in principle but fails because gorilla brains continued to evolve too, just along a different path. They're not snapshots of ancestral species locke…
-
comment
Comment #47644888
This sounds very like Licklider's essay on Intelligence Amplification: Man Computer Symbiosis, from 1960: > Men will set the goals and supply the motivations, of course, at least i…
-
comment
Comment #47555395
The relu/if-then-else is in fact centrally important as it enables computations with complex control flow (or more exactly, conditional signal flow or gating) schemes (particularly…
-
comment
Comment #47554298
This is essentially what any relu based neural network approximately looks like (smoother variants have replaced the original ramp function). AI, even LLMs, essentially reduce to a…
-
comment
Comment #46687152
I'm not sure that's the fully right mental model to use. They're not searching randomly with unbounded compute nor selecting from arbitrary strategies in this example. They are bot…
-
comment
Comment #45670114
Then the point still stands, this makes things even worse given that it's adding its own hallucinations on top, instead of simply relaying the content or idealistically, identifyin…
-
comment
Comment #45610212
Being tall doesn't automatically make you good or dominant at basketball, you can even be too tall. Wemby might just be at that threshold, but the unusual thing about him is his de…
-
comment
Comment #45140424
It's an artifact of post-training approach. Models like kimi k2 and gpt-oss do not utter such phrases and are quite happy to start sentences with "No" or something to the tune of "…
-
comment
Comment #45105018
You are right and the idea of LLMs as lossy compression has lots of problems in general (LLMs are a statistical model, a function approximating the data generating process). Compre…
-
comment
Comment #45007667
Unless you're also writing your own graphics and game engine from scratch, if you're making a truly novel and balanced game, then it should not be possible to crank out code with A…
-
comment
Comment #45007208
Why would the proportion of high quality games increase? The number yes, but I expect not the proportion. Lowering the entry barrier means more people who have spent less time honi…
-
comment
Comment #44780427
But why isn't this merely papering over a more fundamental issue with how these models are "aligned"? LLMs are, for example, not inherently sycophantic. kimi k2 and o3 are not, and…
-
comment
Comment #44669474
The brain is certainly vastly more energy efficient at inference than LLMs on GPUs. But it looks like you're trying to make a different argument, that an LLM can spend less energy …
-
comment
Comment #44654405
That math is for random projections? Note that JL lemma is a worst case guarantee and in practice, there's a lot more distortion tolerance than the given bounds would suggest. Conc…
-
comment
Comment #44626005
Compounding with learn and iterate, humans also build abstractions which significantly shorten the number of steps required. These are more expressive programming languages, compil…
-
comment
Comment #44333374
> he's inability to see its application to modern compute held the field back by years. I find Schmidhuber's claim on GANs to be tenuous at best, but his claim to have anticipated …
-
comment
Comment #44286727
The non-o-series models from OpenAI and non-Opus (although I have not tried the latest, so it's possible that it too joins them) from Anthropic are cloyingly sycophantic, with ever…
-
comment
Comment #44252187
This contains a common misstep (or misgeneralization of an analogy) among those who are much more familiar with computers than with the brain. The brain is not digital and concepts…
-
comment
Comment #44243596
I think the point remains that few have been able to catch up to OpenAI. For a while it was just Anthropic. Then Google after failing a bunch of times. So, if we relax this to LLMs…
-
comment
Comment #44196281
There is skill to it but that's certainly not the only relevant variable involved. Other important factors are: Language: Syntax errors rise, and a common form is the syntax of a m…
-
comment
Comment #43760377
LeBron is one of the rare individuals at that intersection of high athleticism and mental capability. It's why at the age of 40, well past his athletic prime, he's still a top NBA …
-
comment
Comment #42970564
The essence of the article is that self-correction exists as a nascent ability in base models already (more robustly in some like Qwen than others). This is highly reminiscent of C…
-
comment
Comment #42730723
I'm also ashamed to say I've also never seen any of his movies and TV series but this still hits hard because of his influence on some my most cherished fictional properties. These…
-
comment
Comment #42688240
This is an interesting proposition. Have you tested this with the best open LLMs?