zarkov99

For the most part those are people who were not previously able to create because of skill atrophy or lack of programming aptitude. From their point of view being able to command (for now) a more capable entity to do what they (think) they want is an improvement.

I care deeply about craft, but:

a) I cannot effectively review more than 2000 lines of code a day. The LLMs can produce much more than that. b) Even if I accepted my reading throughput limitations as the cost of being in the loop, reading is not enough to keep cognitive debt in check: my skills will atrophy if I do not participate in the writing ("What I cannot create I cannot understand").

So, to me, it seems like we, humans, either have to come up with higher (and deterministic) abstractions than code to communicate with LLMs or resign ourselves to letting the LLM guess what we want from English and then banging on the output to see if it sort of works. This later state of affairs seems to be what the current trend is and I find that absolutely revolting.

I do not see it that way. I was born in Europe and immigrated to the US. In my mind the differences is that the US attracts more ambitious and talented people than Europe.

This is not right in finance at least. Messages updates are typically incremental just like in TCP. The reliability problem is dealt with with careful network stack tuning, core affinity and out of band recovery.

They are clearly not politically neutral, unfortunately, whether by accident or design. And I say this as someone who has been a supporter for years.

The videos you see are curated to showcase police brutality. In a country with 300 million people and as many guns, its not hard to come up with a video a day depicting things going wrong. That is not the norm though. No one is going to post videos of polite, professional interactions, even though those are, obviously, the vast majority of cases.

Is it not feasible to simply raise the bar on what is expected in a graded essay? Or is the human/chatgpt combo no better than just chatgpt?

I have a 13 year old who just got a phone. I do not think things are as hopeless as you seem to believe. My daughter mocks social media (including my own use of it) and, so far, wants no part of it. That is, I think, largely because her mother and I have been educating her since she could use a computer on how stupid and vapid social media is. As far as I know, none of her friends has any social media accounts either, I believe for similar reasons.

TCP is rarely used in HFT data centers except as required by exchanges.

People who hate Elon musk, which includes almost all of media, have no qualms about lying about Tesla in order to hurt it/him. In fact they might think is the right thing to do, for the sake of, well whatever.

If you are interested in the ground truth, check the videos by owners, talk to people who use FSD and best of all see if you can rent and drive a Tesla yourself.

Its sad to say, but even in tech we swim in an ocean of ideologically driven BS and not all of us have realized it yet.

That is exactly right. In terms of knowledge acquisition the disruption has occurred. Any motivated young person can get a world class education free of charge, without ever stepping into an ivy. But it turns out the main purpose of college is to sort people not educate them and we are only now realizing that.

What would you replace leetcode with? For all its faults, and I agree there are many, leetcode is at least more or less objective and (for employers) very cheap.

With eglot and lsp-mode emacs, for me, has feature parity with vscode for c++ local development. Unfortunately for remote work tramp is still a nightmare and vscode far ahead.

The problem with this idea has been the same for 40 years: unlike in other fields of engineering in Software there is no bedrock of empirical science from which we can derive objective, reasonable standards. It is all opinion in CS and no doubt the most obnoxious, useless methodologists would be the ones with the strongest opinions about how others should build things.

That is a fantastic analogy, it captures exactly the pros and cons and the context dependency of methodologies.