cellis

“Low quality entertainment” is a very elitist thing to say. Most don’t have time or luxury of even being introduced ( via an east coast liberal arts college ) to read Tolstoy or appreciate the finer motions of Tchaikovsky. Instead the Druski memes will do just fine, mixed in with the AI slop. Or maybe they’re physically or physiologically incapable of enjoying the outdoors or sport. Point is, my gen played strategy games and first person shooters and listened to Eminem, this one marls TikToks until their thumbs have RSI.

As for OCAML vs not, I think the vast majority of even intellectual and studious people would be better served trying to AI max and build some kind of agent serving businesses than trying to get a job at, uhh, Jane Street. 1% of the best engineers in the world get to work in that language, so yeah the parent makes a valid point

Did 3 then just assumed the longest text was the correct one. Too much reading

Not to argue your broader point, but how, exactly would predicting this, in a macro sense, make you the “richest person on the planet”? A very uninformed person could tell you that “Cerebras will be the next NVIDIA”, put their life savings into it and in 10 years have 100 million. Thats not going to make them anywhere close to the richest person on the planet. Unless you can do it on a micro sense, merely having the ability to “predict” the way the wind is blowing is meaningless.

Obviously an M1 chip is “smarter” in terms of raw accuracy for eg matrix computations than any equivalent wetware despite being much? smaller. Performance per watt at least at that task has to be an ocean of a difference.

A 16 year old has been training for almost 16 years to drive a car. I would argue the opposite: Waymo’s / Specific AIs need far less data than humans. Humans can generalize their training, but they definitely need a LOT of training!

Do you only support USDC?

79. I feel like i should have done better but got stuck in a local minima of "farm animals, which obvious farm animals haven't I said??", then tried thinking of names of fish which worked until it didn't.

The “hard enough” tasks are all behind IP walls. If it’s a “hard enough” that generally means it’s a commercial problem likely involving disparate workflows and requiring a real human who probably isn’t a) inclined and/or b) permitted, to publish the task. The incentives are aligned to capture all value from solving that task as long as possible and only then publish.

I've also used em-dashes since before chatgpt but not on HN -- because a double dash is easier to type. However in my notes app they're everywhere, because Mac autoconverts double dashes to em-dashes.

While directionally correct, the article spends a lot of time glorifying jquery and not enough on what a horrible, no good, unoptimized mess of a framework jquery was, and by extension what kinds of websites were built back then. I remember those times well. The reason to use React isn't because it was new, far from it. It was because it won vs. Ember, Angular, et. al. in 2014-2015? as the best abstraction because it was easiest to reason about. It still wasn't great. In fact, still isn't great. But it's the best blend of many leaky abstractions we use to code against the browser apis.