"Defense Secretary Pete Hegseth is 'close' to cutting business ties with Anthropic and designating the AI company a 'supply chain risk' — meaning anyone who wants to do business with the U.S. military has to cut ties with the company, a senior Pentagon official told Axios."
Readit Newsdefmacr0 commented on Pentagon Threatens Anthropic Punishment axios.com/2026/02/16/anth... · Posted by u/defmacr0
Doing some math in my head, buying the GPUs at retail price, it would take probably around half a year to make the money back, probably more depending how expensive electricity is in the area you're serving from. So I don't know where this "losing money" rhetoric is coming from. It's probably harder to source the actual GPUs than making money off them.
> So I don't know where this "losing money" rhetoric is coming from.
https://www.dbresearch.com/PROD/RI-PROD/PROD0000000000611818...
> I have not see any reporting or evidence at all that Anthropic or OpenAI is able to make money on inference yet.
Anthropic planning an IPO this year is a broad meta-indicator that internally they believe they'll be able to reach break-even sometime next year on delivering a competitive model. Of course, their belief could turn out to be wrong but it doesn't make much sense to do an IPO if you don't think you're close. Assuming you have a choice with other options to raise private capital (which still seems true), it would be better to defer an IPO until you expect quarterly numbers to reach break-even or at least close to it.
Despite the willingness of private investment to fund hugely negative AI spend, the recently growing twitchiness of public markets around AI ecosystem stocks indicates they're already worried prices have exceeded near-term value. It doesn't seem like they're in a mood to fund oceans of dotcom-like red ink for long.
>Despite the willingness of private investment to fund hugely negative AI spend
VC firms, even ones the size of Softbank, also literally just don't have enough capital to fund the planned next-generation gigawatt-scale data centers.
defmacr0 commented on Hilbert space: Treating functions as vectors eli.thegreenplace.net/202... · Posted by u/signa11
Most relevant applications use L^2 spaces which can not be defined point wise.
If you want to talk about applications, then this representation is especially bad. Since the intuition it gives is just straight up false.
Fwiw, my favourite textbook in communication theory (Lapidoth, A Foundation in Digital Communication) explicitly calls out this issue of working with equivalence classes of signals and chooses to derive most theorems using the tools available when working in ℒ_2 (square-integrable functions) and ℒ_1 space
Maintainers could just accept feature requests, point their own agents at them using donated compute, and skip the whole review dance. You get code that actually matches the project's style and conventions, and nobody has to spend time cleaning up after a stranger's slightly-off take on how things should work.