Yeah I find that when people say they are strength training and find it boring, it's usually because they aren't challenging themselves with heavy weight.
Well as Wolfram has stated, we need to mix LLMs with some deterministic reasoning. Real knowledge based output that can be routed to for these purposes. The hard part is determining when.
Why do people think inserting an LLM into the mix will make it better than just an evolutionary or reinforcement model applied? Who cares if you can talk to it like a human?
It can be scary to pigeon hole yourself into any specialist category with which it gives you less freedom of choice in the market place and be forced to make hard decisions on where you live and work. At least for me it's why I continually push towards being a generalist. That is, of course unless your talents in some specialist area are so fundamental to most companies that you'll be sought after for those skills and paid handsomely for the fact.
I disagree. Leetcode is less representative of your job than code review on a PR. Code reviews are an every day activity that can easily cause outages.
What's your argument that code reviews aren't a good representation of skills?
Yeah this is nice if you have large teams and repeatable projects. Smaller companies have much more ad-hoc requests. I stood up an entirely new type of project end-to-end from a docker compose into our cluster. Re-used alot of code base but it was still a bit of work. Much less than it used to be though.
No shit. The majority of students I met in the Computer Science weren't skilled in math but took it as a requirement to code. Why would you expect them to just latch onto Machine Learning?