97 karma · joined July 3, 2025
Of course the tech savvy enterprises will use the best models. But the plumber down the road doesn't care whether she asks Gemini or ChatGPT about the sizing of some fittings.
In the end it doesn't matter how normalized and pretty you design the database, someone will eventually show up and write a pipeline that dumps every row of it into JSON once an hour and ships it to some far away corner of the company. Someone will write a shitty script to deal with the fact that those rows don't represent a consistent point-in-time snapshot of your database. In the end it doesn't matter anyway, it'll all be rewritten or coerced through some migration into some ugly system in a few months anyway that it doesn't conform to and could never match.
The thing that matters is the process. When you decide you want to do it, do you have the process to mend the ether to do what you need it to do in two months? Do you have the processes in place to catch it when it's so catastrophic it's blowing up your balance sheet?
I don't understand this. A friend was recently offered an insane pay package from Amazon (compared to another big-tech). The way I saw it, the Amazon pay package was more attractive than the alternative because of the back-loaded vesting schedule.
Basically they pay you out in cash for the first two years, then after that you have an option to keep working there. If the stock price goes down in the first two years, you got your guaranteed cash -- no risk (and it would be a good time to interview again). If the stock price goes up, you now have basically an option on extra exposure in the form of staying longer with highly valued RSUs, and now getting some high proportion of your pay in RSUs.
It just seems straight up better? If you want the stock instead of fungible cash, just buy it on the open market?
Do note that the UK is 15.6x as dense as Finland, and the climate is quite different: e.g. in Helsinki (southermost city) mean daily temperature is below freezing point 4/12 months of the year (very consequential for driving). E.g. in Scotland even the mean daily minimum does not cross freezing point in any month.
OECD data has Finland at 0.36 fatalities per 10k vehicles vs 0.41 in the UK.
The difference here seems to be that Cerebras does not appear to have Qwen3-Coder through their API! So now there is a crazy fast (and apparently good too?) model that they only provide if you pay the crazy monthly sub?
[1] https://ai.google.dev/gemini-api/docs/pricing#gemini-2.5-fla...
Indeed, you can outrun a bad diet: we all know that. The study just shows that the lack of activity isn't the main reason for obesity. Both things can be true simultaneously.
I am wondering how narrow the focus has to be for an EB-1A. I have been involved in a wide variety of projects, some receiving a good amount of media publicity (100+ mentions across various media), others adding up to a good number of citations (100+ total citations), and I'm also involved in a startup venture that while not yet a breakaway success, is growing quickly (60k+ users, growing 50% yoy). I'm unsure if these can be molded into an appropriate form given they don't necessarily make a coherent story.
I'm also wondering what the bar is for "command a high salary or other significantly high remuneration in relation to others in the field". Is a solid salary within the usual bands at a big tech enough? Or does it have to somehow be significantly higher in relation to others in a similar job position at the company?
Does your firm do immigration law consultations or do you have any that you would recommend to ask some more questions?
I am interested in an EB-1 or EB-2 (possibly NIW) visa, but am concerned about a long period where I can't travel (aka re-enter).
What's the practical difference between E-3 and F-1 OPT (with STEM extension) in my case? Is it easy to switch from F-1 to E-3 at the same role?