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ivanovm

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ivanovm
·16 gün önce·discuss
RL environment (instruction, stateful container, reward function) is the training data product being bought
ivanovm
·16 gün önce·discuss
No, it isn't. The private data is largely private data, created by highly-specialized, highly-paid contracted teams of experts for domains finance, swe, consulting, etc.

Reddit data is just not that interesting, that deal is worth like $60m/year. Labs spend 10x as much on computer-use RL environments.
ivanovm
·16 gün önce·discuss
labs invest multiple billion dollars a year each in private data, and that number is growing. internet training data is not where frontier capabilities come from, this view is outdated
ivanovm
·19 gün önce·discuss
I don't condone the practice, and I don't want to run afoul of anthropic or risk my reputation for it
ivanovm
·21 gün önce·discuss
it is certainly possible and being done all over the place. there's a black market that chinese labs use to buy frontier american llm trajectories by the millions through US intermediaries. they're not even particularly shy about it, i have been offered $0.7 per opus 4.8 call

there's also a market for chinese labs sending checkpoints to US companies to be trained on US compute and sent back

i'm surprised that so many people take chinese tech reports about how they train their models at face value tbh
ivanovm
·geçen ay·discuss
The benchmarks are now the equivalents of SAT/ACT/other standardized exams for humans. They are directionally quite predictive, but with plenty of outcome variance on the margins
ivanovm
·3 ay önce·discuss
Yes, they did. You could also find this information easily. A company like Andon creates value by exposing interesting AI failure modes, so it makes perfect sense for them to move on to harder problems when the previous ones get saturated. I think you're just being overly cynical.
ivanovm
·3 ay önce·discuss
You could just look it up on their website leaderboard? The newest Claude model makes over $10k profit over a simulated year of operation, after starting with $500
ivanovm
·3 ay önce·discuss
I don't think this was a simple assumption. LLMs used to be much dumber! GPT-3 era LLMS were not good at grep, they were not that good at recovering from errors, and they were not good at making followup queries over multiple turns of search. Multiple breakthroughs in code generation, tool use, and reasoning had to happen on the model side to make vector-based RAG look like unnecessary complexity
ivanovm
·7 ay önce·discuss
Kinda funny how we went full circle with you calling me ignorant and illiterate on the basis of not using your preferred terminology, as opposed to the actual, obvious meaning of the subject
ivanovm
·7 ay önce·discuss
It's far more telling that you'd imagine this is a literary tool so interesting or complex that other people haven't seen it or thought of it

https://www.google.com/search?q=it%27s+not+x+its+y
ivanovm
·7 ay önce·discuss
Say more, I'd love to know how this is a demonstration of illiteracy
ivanovm
·7 ay önce·discuss
this has ai writing smell all over it. entire paragraphs that just say it's-not-this-it's-that over and over again
ivanovm
·10 ay önce·discuss
one underrated approach more and more people are finding success with: apple watch ultra as a primary device (optionally with a case for a more phone-like factor)

you can do most things an iphone does, but you can't doom scroll. you don't have to eject out of apple ecosystem, you get payments, 2fa, navigation, notifications. your iphone can remain as a backup that's always in sync for when you need it (e.g. traveling)