rajman187

The Chinese have certainly taken over far more than just the Mexican market. You'll hardly see a Tesla in London these days, and while Toyotas were selling like hot cakes in Pakistan the dealerships have gotten huge waitlists for the Chinese ones now. As others have mentioned, the jury is still out on reliability and longevity. I can confidently assume a Toyota from 1993 is still just being broken in at 150K miles, no clue if the same can be said about these with all the varieties and electronic components.

If they do one day come the American shores, I assume that's the end of US car manufacturers.

meta makes $1.4B/week in net profit, so that's about 4 months of net profits

Cerebras got lucky with the ban on NVIDIA chips due to "security reasons" in the middle east, securing a massive deal with the UAE's sovereign fund. Of course, the leaders made a nice donation to the Trump crypto fund and coincidentally the ban on NVIDIA was lifted. That presented a danger for Cerebras, but they also pivoted almost entirely to an inference as a service company, maximizing tokens/sec metrics on a variety of open weight models. Then they landed the contract with OpenAI which has bought them another lifeline, and helped paper over the trail of fraud that delayed the S1 and IPO for a few years. Fascinating story indeed!

i'd say 99% of usecases will be served fine with Postgres, or a managed instance via AWS

i think it's worth revisiting this in a short while because, by and large, how the engineering craft has been for the last 40+ years is no longer the correct paradigm. it takes Claude Code a few moments to put together an entire proof of concept. engineers, especially experienced ones, will be less likely to produce (and hence be performance-calibrated on) code as output but rather orchestration and productionization of [a fleet of] agents. how do you guide an llm to produce exactly what is needed, based on your understanding of constraints, available libraries, various systems and APIs, etc. to accomplish some business or research goal?

in that sense, estimation should theoretically become a more reasonable endeavor. or maybe not, we just end up back where we are because the llm has produced unusable code or an impossible-to-find bug which delays shipment etc.

> You could cut your MongoDB costs by 100% by not using it ;)

Came here to say exactly this

If I could upvote this more than once I certainly would

This has nothing to do with the newly appointed fellow nor Meta Superintelligence Labs, but rather work from FAIR that would have gone through a lengthy review process before seeing the light of day. Not fun to see the license change in any case

An intuitive treatment of RLHF, TRPO, PPO, GRPO, DPO and RLAIF