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I think about this all the time. The first several years of Laravel had just absolutely beautiful code to see (both from an engineering, OCD and aesthetic perspective)

Ive read quite a bit, including one of my favorite articles, "It's probably the phones": https://www.noahpinion.blog/p/honestly-its-probably-the-phon...

But then you kind of dove into the deepend there. Spy devices, 1984, etc. I think a more tempered approach is useful here


I'd like more common words?

"Baith" is incredibly esoteric.


"Habit" is another anagram you could have used, and not esoteric.


i did "habit"


This feels more nuanced than you are giving it credit for? Much of the training data that was available has been withdrawn, atleast for OpenAI we know that much of the training data was garnered in less-than above the board methods


Curious on your "Top" algorithm? I see many 1-voted items there.

Also, how do you vet your blogs?


"GPT 5.5 has already been shown to be as adept as Mythos at finding vulnerabilities."

Do you have any data on this (other than benchmarks)?



Most people would argue that Stadia would have many. Many people loved Google Reader. There are numerous examples of things that were great and were killed, because they hadn't monetized enough or "fast enough", and when you are chasing results on a quarterly basis, you can't always get things that will generate tremendous value with more time.


I think this is misleading as a few other folks say -- otherwise you'd expect Visa/Mastercard stock to drop dramatically at losing that many folks in a single announcement.


It seems like a good path forward is to somewhat try to replicate the idea of "once you can do it yourself, feel free to use it going forward" (knowing how various calculator operations work before you let it do it for you).

I'm curious if we instead gave students an AI tool, but one that would intentionally throw in wrong things that the student had to catch. Instead of the student using LLMs, they would have one paid for by the school.

This is more brainstorming then a well thought-out idea, but I generally think "opposing AI" is doomed to fail. If we follow a montessori approach, kids are naturally inclined to want to learn thing, if students are trying to lie/cheat, we've already failed them by turning off their natural curiosity for something else.


I agree, I think schools and universities need to adapt, just like calculators, these things aren't going away. Let students leverage AI as tools and come out of Uni more capable than we did.

AI _do_ currently throw in an occasional wrong thing. Sometimes a lot. A students job needs to be verifying and fact checking the information the AI is telling them.

The student's job becomes asking the right questions and verifying the results.



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