besterman23

Primarily forgetting how to be a half-respectable programmer.

For a lawyer yes, if a task takes less time they bill less hours and therefore it costs less.

So… if AI is reducing time taken for billable actions, then that reduces the cost no? Unless it’s not actually reducing the time spent on said actions.

If I were to guess, being pleasantly surprised is just a learned appropriate social response from the expectation of receiving a reward and as such, that social norm is codified sufficiently enough in our writings that it appears in LLMs output.

It’s sort of like all the people who will ask Claude or GPT to validate their complete nonsense and receive unyielding praise for it, the models just learned that this is the best received response based on training data and RL.

I bet these same sorts of expressions can be found in practically every failed attempt as well.

I suppose you could say, hypothetically, that if the field were “solved” then the protection of the feelings and sense of need for human understanding of the now obsolete practitioners might hinder any benefits that the now solve field could provide.

The answer to this is probably just “get out of the way” and then your “work” would be to develop a better appreciation of what has been produced.

Stop trying to pump your Tarot reader IPO

“Yes, there’s still enormous uncertainty about what the rest of our lives will look like, but as far as I can tell, there’s no longer any real uncertainty that it’ll all mostly revolve around AI, and the extent to which we succeed or fail at directing its power toward human flourishing.”

Good to know that in the throes of coping with apparent existential unknowns, even smart people can still wiggle in some hubris. Imagine, using his own analogy, upon the resurrection you try to steer the son of the Hebrew god toward the perceived benefits of western moral philosophy.

Suppose it matters what order you do it in.

The best good thing possible for humans who are all suffering from an extremely painful, incurable disease might just be ending that misery.

The worst bad thing possible in a perfect utopia might be a minor inconvenience comparatively.

Honestly I think it’s an apt punishment for ever inventing YAML in the first place.

I wonder if multiple attempts at the opossum would produce better results.

If we didn’t have the previous example I would interpret this as pretty solid evidence that labs were training on the Pelican “benchmark”.

I just can’t imagine a model dropping so significantly from one version to the next on such a silly task.

Yeah if this is his “information he wanted for years” it’s pretty abysmal in terms of crashing the “ai bubble”.

Yeah, this pretty much seals it for me that Ed has basically nothing. Sure OpenAI isn’t currently profitable, but this doesn’t say to me that they can’t become so soon(ish).

I believe that AI is not a signal of all white collar jobs being replaced, it’s a signal that SWE was in its own bubble and this is the pressure to pop it.

Most software is not needed, YCombinator itself works on the philosophy of “maybe 2/300 ideas are good” and even among those their biggest hitters were social media platforms and undercutting existing services using VC money.

It was a big game that didn’t make a lot of sense in retrospect, and now with these AI super coders it just doesn’t make sense faster.

Software ate the world, and AI is the garbage disposal meant to chew up the leftovers.

Wholeheartedly agree, there are some aspects to SWE that could be considered hard, but most of the time it’s rote pattern matching or simple logic resolutions.

People were getting 6-figure salaries with 3 month boot camps before AI, any random college major could eventually become a developer with a few online courses and practicing LeetCode, the party was bound to end eventually.

Even in the case that a college degree was absolutely necessary (it wasn’t) making $150k fresh out of a bachelor’s degree was absurd for every other domain, many of which were much harder than CS.

You’re arguing to a subset of people who have made work their entire life and have retroactively justified their sacrifices with thoughts such as high compensation means what I do is socially valuable. However, at the same time they work at Meta or something making internal tools to make product developers 5% more efficient at tweaking the addiction algorithm to gain 0.2% more screen-time per user.