vanuatu

5 ms·

31.
by vanuatu 2mo ago
intelligence is not omniscience though
32.
by vanuatu 2mo ago
gotta make it less obvious
33.
by vanuatu 2mo ago
it was terrible for weavers it was great for workers around the world who now can afford clothes
34.
by vanuatu 2mo ago
I think a lot of people who grew up in developing countries or low income neighbourhoods adopt this perspective (I did both)
35.
by vanuatu 2mo ago
having goals above financial well being is a luxury belief
36.
by vanuatu 2mo ago
insert Obama awarding Obama meme
37.
by vanuatu 2mo ago
at human-level AGI there would be no need for people to 'buy' when the machines can just do
38.
by vanuatu 2mo ago
They are busy moving the goalposts, saying this isn't impressive or worth worrying about :)
39.
by vanuatu 2mo ago
that makes sense to me in a conceptual sense however inference is very profitable and plummeting in cost for a given point on the intelligence curve, and nvidia gpus can serve different models so they are protected post-buildout
40.
by vanuatu 2mo ago
can someone explain why this is actually bad? nvidia spends X amount to invest in data centres or investments on the agreement that the counterparty spends Y amount back, the net delta is the actual amount of value being transferred aka Nvi
41.
by vanuatu 2mo ago
To me its clear that it is decel the only reason other labs can catch up is because the frontier labs can be distilled, and they siphon a % of the labs' revenue to reinvest into the next iteration full accel would mean nationalizing th
42.
by vanuatu 3mo ago
i think you're thinking of subagent routing model routing in this case is cross-provider Imo the main issue behind model routing is you need to figure out how much intelligence a new task takes, which is a very non trivial problem. Pre
43.
by vanuatu 3mo ago
in the short term, ai has been job-creating and unemployment remains quite low. The technology has mostly been augmentative (like every other technological revolution beforehand) if (big if) the technology continues to improve at the curren
44.
by vanuatu 3mo ago
if a company is doing poorly enough to lay off people the c suite has already taken drastic pay cuts from their stock compensation
45.
by vanuatu 3mo ago
This is one of the best writeups I've seen of this a lot of the model's constraints come down to how they are RLed. Discussions online would be a lot better if everyone understood how the labs train the models in a high level (or
46.
by vanuatu 3mo ago
+1 I'd wager you get similar results if you gave people a version of Google search that purposely gave you bad results. Like, it's framed as an assistant / lookup tool - is it so surprising that people tend to trust it more?
47.
by vanuatu 3mo ago
kind of a hilarious conspiracy theory You are correct that LLMs are trained on existing proofs but hiring researchers to solve unsolved problems is just unrealistic, both in terms of how none of the mathematicians simply came out and took c
48.
by vanuatu 3mo ago
I play the game for a manufactured challenge People in the real world all having god mode cheats is good, actually
49.
by vanuatu 3mo ago
LLMs are increasingly solving math problems on their own, producing entire correct proofs I like Cal but his takes consistently miss the slope of improvement of the technology
50.
by vanuatu 3mo ago
This. the comments here talk as if YC is this secret cabal of upper elites when they're probably one of the least selective good accelerators
51.
by vanuatu 3mo ago
The top % of YC founders are legitimately quite talented, and high agency/entrepreneurial talent goes a long way in these companies, even if its not in deep infra or research
52.
by vanuatu 3mo ago
at the current pace, LLMs are the researchers the end goal isnt to serve a chatbot to replace google or a coding agent to build crud
53.
by vanuatu 3mo ago
i dont think the comparison to traditional vc saas is very good yes, in traditional venture you want cost per marginal user to decrease and leverage your platform at scale but improving llms shifts the frontier of their capability and unloc
54.
by vanuatu 3mo ago
"not enough people are emotionally prepared for if it's not a bubble"
55.
by vanuatu 3mo ago
- inference - RLaaS (Tinker, or the more involved FDE motion a la Reflection / Applied Compute)
56.
by vanuatu 3mo ago
most companies will make the FDE role but not understand the value of the FDE org, which is to drive product strategy and function as R&D
57.
by vanuatu 3mo ago
Id say the main difference is FDEs post-engagement need to drive product strategy back into the platform (non trivial ask) you typically see FDE-driven companies' products be 'assembly' driven and very deep into integration,
58.
by vanuatu 3mo ago
the main distinction i like to make is: your FDEs shape your product strategy, and should be considered R&D. after making sure a customer deployment is successful (by any means necessary btw, even if it means building new systems outsid
59.
by vanuatu 3mo ago
sadly with all the labs benchmaxxing I feel like you just have to try the model for a while to really evaluate how good it is, especially for each individual use case
60.
by vanuatu 3mo ago
100%, if someone from a no name school does well on the interview I’ll happily recommend them to be hired. However idk how HR filters resumes, and they likely use certain heuristics to try and minimize false positives

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