credit to alex peysakhovich (who's not on here) for the pith.
03.08.2025 20:33 β π 5 π 0 π¬ 0 π 0@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
credit to alex peysakhovich (who's not on here) for the pith.
03.08.2025 20:33 β π 5 π 0 π¬ 0 π 0"It's called transfer learning if it works and overfitting if it doesn't."
03.08.2025 20:32 β π 48 π 3 π¬ 3 π 0Is it?
03.08.2025 20:26 β π 2 π 0 π¬ 1 π 0What is overfitting?
03.08.2025 19:23 β π 7 π 0 π¬ 4 π 0But why does the cash cow continue to produce?
01.08.2025 15:15 β π 2 π 0 π¬ 1 π 0Those two statements are equally depressing but describe slightly different things, no? The first is about early adoption, the latter about late majority.
There are probably sleaze theorems for all parts of the adoption curve.
Important ETA: Bullet 3 should read: "AI cap ex now growing more than all consumer spending combined."
01.08.2025 14:54 β π 4 π 0 π¬ 1 π 0bah, left out an important word "growing." should have been
"AI cap ex now growing more than all consumer spending combined"
(figure from here: bsky.app/profile/mims...)
what's the sleaze theorem?
01.08.2025 14:51 β π 1 π 0 π¬ 1 π 0"May you live in interesting times?"
01.08.2025 13:44 β π 2 π 0 π¬ 1 π 0These three things seem deeply interconnected:
1) app gambling culture.
2) the only industry adding jobs is health care.
3) AI cap ex now more than all consumer spending combined.
I need to write a ted talk about how.
The American economy now stands upon the abandonment of clarity and efficiency in software engineering.
01.08.2025 13:40 β π 12 π 0 π¬ 2 π 0Do you think it would be helpful for them to explain the uncertainty in the estimates?
01.08.2025 13:17 β π 3 π 0 π¬ 1 π 0At least we can be sure no one will drown.
31.07.2025 19:29 β π 2 π 0 π¬ 0 π 0If you have infinite data and compute, 1-nearest neighbors is also optimal.
31.07.2025 04:47 β π 19 π 2 π¬ 0 π 0Yes, and crazy that the original pac-man didn't even have randomness!
29.07.2025 10:13 β π 0 π 0 π¬ 1 π 0You already run into a problem when you consider all logical tautologies must be assigned probability 1 which requires knowing what most consider unknowable.
27.07.2025 08:16 β π 1 π 0 π¬ 0 π 0sorry, to clarify: if you read RL people, they come up with all sorts of neurobullshit explanations for the discount factor.
But the reason the discount factor is 100% a crutch to make the formulas nicer.
In RL itβs a crutch so you get a pretty Bellman equation with a time-invariant policy.
25.07.2025 15:26 β π 6 π 0 π¬ 3 π 0Agree. I should write something... but in lieu of that, read the fun history of arxiv I posted above.
23.07.2025 19:19 β π 2 π 0 π¬ 0 π 0This isn't exactly what you are asking for, but allow me to recommend an amazing article: www.wired.com/story/inside...
23.07.2025 19:18 β π 2 π 0 π¬ 0 π 0While this is true, I could not disagree more with @tedunderwood.me's credit assignment.
Physics was at least two decades ahead of CS with all of these things. And the same is true with math and EE.
CS's main achievement was making conference abstracts into CV beans to be counted.
Hear hear! I wish I could add 100 more likes.
I appreciate your commitment to this message.
Hey wait...
.... nevermind.
I know a guy who bought in on this cult and is one of the people chosen in the Zuckerberg lottery. Like in all cults, it has to appear to work out for some...
23.07.2025 14:22 β π 3 π 0 π¬ 1 π 0So much of the Bluesky vitriol against Graeber cites the time he was a dick in the Crooked Timber comments section...
22.07.2025 00:12 β π 3 π 1 π¬ 1 π 0I agree with this, but I also think most of the people talking shit about Graeber and Scott on this website suffer from the Bluesky willful misreading disease you often post about.
22.07.2025 00:00 β π 4 π 0 π¬ 1 π 0I need to see those frequencies quantified with error bars before I can agree with you...
21.07.2025 23:23 β π 3 π 0 π¬ 0 π 0I must know what the "two irrelevant traditional works" are.
18.07.2025 16:47 β π 2 π 0 π¬ 0 π 0What does bad data mean to you?
I tend to think that any two variables are correlated, and it's just a question of how much.