HackerTrans
トップ新着トレンドコメント過去質問紹介求人

tuvix

112 カルマ登録 4 か月前

投稿

Felicity, CA

en.wikipedia.org
1 ポイント·投稿者 tuvix·10 日前·0 コメント

Ask HN: Anyone know of that "levels of AI programming" blog post?

10 ポイント·投稿者 tuvix·3 か月前·7 コメント

コメント

tuvix
·3 日前·議論
Not sure who you’re following on LinkedIn but this is most assuredly not the case for me or anyone I know
tuvix
·3 日前·議論
Extremely cool. This got me thinking that I would love to have a mermaid-like dsl for creating full tabs and apparently it exists![0]

[0] https://github.com/0xfe/vextab
tuvix
·4 日前·議論
Interesting! I’ll have to try a cooking the recipe for shorter. I am a bit skeptical since my family’s sauce is the best in the world already :)
tuvix
·4 日前·議論
Haven’t heard of forever sauce but my family makes sauce by cooking it pretty much all day. If we ate it every day then yeah we might as well keep a pot on the stove all the time
tuvix
·5 日前·議論
A lot of those things you mentioned have sticking power because they’re familiar to folks and migrating to something else is a big deal.

I can’t imagine most people would be able to tell the difference between Sonnet and GLM 5.2. If the infrastructure around the model you’re using doesn’t change, then swapping models is extremely easy.
tuvix
·5 日前·議論
I always thought that area of research had the coolest name, too: “mechanistic interpretability”
tuvix
·8 日前·議論
Interesting thought but I assume a lot of samples in the training corpus are examples of translation between languages and the same text in different languages.
tuvix
·9 日前·議論
Even if you could understand human cognition to the level required to say, confidently, that it’s done one word at a time, it’s likely not! Natural language is not a prerequisite for human intelligence, as evidenced by the fact that we went from primates to commenting on HN.

Natural language is, however, a prerequisite for the existence of LLMs. It’s more similar to methods for storing and retrieving information, like the printing press or a database, than it is to a sentient being.

That’s not to say that LLMs can’t do crazy things, because they already have. Our language can encode a whole lot of information, and it’s incredible that we’ve found a way to distill that so effectively.
tuvix
·9 日前·議論
They will absolutely be missed, maybe not by any individual but the impact of them leaving will be felt. People willing to go to bat for code quality and who are also careful about copyright and the community aspect of open source is why this whole thing worked in the first place.
tuvix
·12 日前·議論
I don’t play multiplayer stuff like Fortnite or Call of Duty, so I might not be your typical user. I use Steam for everything, as well.

But I fully switched to Fedora a while ago because every game I played was either just as performant or ran better on Linux. It’s plug and play, too. I just downloaded Steam and that was it.

I know there are other commenters saying the same thing, but I’m just super excited because of what this means for Linux market share on consumer machines
tuvix
·13 日前·議論
There’s more than two options here. It was already difficult to deal with self diagnosis for doctors, now we have a machine that outputs recommendations, and does it with confidence whether it’s correct or not.

The same issues that were present with search-engine self diagnosis are still present with LLMs. If you provide Google with an incomplete list of symptoms and can’t interpret the information you find correctly, you will likely get an incorrect diagnosis. The same is true for LLM output.
tuvix
·16 日前·議論
Where can you not run LuaJIT? Genuinely curious
tuvix
·18 日前·議論
both the Julia and Rust programming languages use curl -> sh to install
tuvix
·19 日前·議論
Seconding Reaper, great software. Renoise is also extremely fun to use if you’re comfortable with trackers (for midi input not that they track you) and you make electronic music
tuvix
·先月·議論
Aren’t LLMs notoriously bad at recognizing negation?

EDIT: In long context I mean
tuvix
·先月·議論
It’s possible that there’s a set of words or phrases that route deterministically to save money on obvious stuff.

I kind of wonder, though, which model they’re using to do the routing. It seems like a huge added cost to do these kinds of checks on every request
tuvix
·先月·議論
Never used OCaml but it seems like a way to chain together expressions using the same variable name? Seems odd but I could see myself using it
tuvix
·先月·議論
I think maybe he meant specifically for software engineers?
tuvix
·先月·議論
Wow I need to stop browsing HN
tuvix
·先月·議論
I would argue it’s still unparalleled for recommendations