515 karma · joined December 20, 2011
I have worked at multiple large and successful tech companies, and groups in those companies operated under the same principles.
One thing that helps me when I am discouraged is to take stock of the facts. If I don't get a FAANG job, can I still find success in life with the skills I've obtained? If I do get that FAANG job, what problems will I still have to face? Can I take another position in the meantime and try again with a stronger resumé? Thinking about the situation objectively usually helps me see that the stakes aren't as high as I imagined.
A more charitable description might be "You're employing the scientific method to extract value from GPT-like systems." Just like in science, with time you're developing intuition for how the underlying system works, but you still have to run the experiments.
This is not exactly what you asked, but it shows that high-level players are using AI to play better chess.
He was obligated to write 4.6 songs for his old label, and half-assed them (though, knowing the back story makes me enjoy this one a lot). It seems he could save some effort these days.
* "Validation" as used by Intel to describe what other groups would refer to "silicon validation" or "product validation". Intel also confusingly uses "validation" as a term for pre-silicon validation, which I've seen more commonly referred to as "digital verification" or "DV" where RTL is executed in a simulator and the results compared against tests. I also don't recall seeing them mention "emulation" (where RTL is loaded onto massive FPGAs and exercised at higher speeds than what the simulator can accomplish).
* "tape-in" is what the factory does after processing the data files sent by the design teams. Most design teams refer to it as "tape-out."
I remember there was another Intel-ism, but it didn't stick with me.alias egrep='grep -E'
alias fgrep='grep -F'
GNU provides a set of tools that are useful to people who make software. Most people don't make software, so GNU doesn't target their needs. There's other software for most users.
Most people can't play the guitar, but that doesn't mean guitars "don't work" and "something should be done to fix" them. The people who want to make music spend the requisite time to learn them, then they make music. People who just want to hear that music can buy it without having to own or learn guitar.