capitalsigma

Joined 11 years ago

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642
Submissions
289
Member since
Jan 30
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Recent submissions

Comment · 1 month ago
It seems unlikely to me that Anthropic employees really care about X-risk (to a degree that the CEO feels it necessary to make public statements that he otherwise would not). I'm sure the pay is great and the problems are interesting -- lots of smart people work on much more evil things than LLMs
Comment · 1 month ago
Crypto was mostly grift targeting non-technical people

LLMs are a real, genuinely-useful technological innovation that happens to have arrived first in software engineering. Lots of SWEs spend their whole day talking with LLMs and feel a personal connection/expertise with the thing that's also at the top of the hype cycle for non-technical news

Comment · 2 months ago
If the author has preferences on their "own writing" that conflict with Anthropic's, then they should actually write it themselves rather than paying Anthropic to do it. Private companies don't owe you anything, even less so when they're beholden to laws in foreign jurisdictions.
Comment · 2 months ago
> I chose to depend on a private company to express my own thoughts and now I'm mad that I'm not in control of the output

Who could have seen this coming???

Comment · 3 months ago
Tokens measure "how much work the model did" in the same way that step counts measure "how far the person went"

GPUs "generate tokens" in the same sense that human feet "generate steps"

You can't compare token counts across different providers to get an absolute measure of "total work done" for the same reason that you can't compare step counts across different people to get an absolute measure of "total distance traveled"

Comment · 6 months ago
Comment · 7 months ago
This is more or less my belief too. But I think there are probably domains/companies where the "promo video" is actually good enough to ship (or at least, where that's the quality that devs were shipping before)
Comment · 7 months ago
People don't write blog posts about how they wake up at 3AM to assign new tasks to their intern, nor do they build "orchestration frameworks" that involve N layers of interns passing tasks down between eachother
Comment · 7 months ago
Also the process sounds like a nightmare: "it broke and I asked 4 different LLMs to fix it; my `AGENTS.md` file contained hundreds of special cases; etc." I thought this article was intended to be a horror story, not an advertisement
Comment · 1 year ago
I'm pretty sure that "lack of market opportunity" isn't the reason that nobody has yet managed to invent eternal youth
Comment · 3 years ago
It seems like they're targeting AI chip start ups with the promise of a compiler framework that can integrate with a custom backend
Comment · 3 years ago
"matchmaking"
Comment · 3 years ago
It seems a little disingenuous to call something written in an obscure Haskell dialect a "high performance UDP packet parser"
Comment · 3 years ago
Money allows for economic specialization, leading to greater productivity. You don't build an economy that produces cell phones when you're stuck bartering goats for wheat.
Comment · 3 years ago
I thought that Fortran was traditionally faster than C++ for numerical code due to stricter aliasing rules in the language, which I wouldn't expect to carry over to an IR?

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