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Probably now or the very near future you could have an LLM that's provably trained on dataset where the leaked spec isn't included in the dataset and have it perform the reverse engineering work.


As someone who’s excited to see this happen eventually, it’s not happening anytime soon. Combinatorial optimization techniques are far better suited for this and methods created 50 years ago run laps around LLMs


Your solution is for everyone in the world to foster a degree of self-discipline they've never shown any inclination for in the past?

That doesn't sound like a scalable solution. These apps are so pervasive and their use adopted at such a young age (with a large degree of social pressure) it seems like legislation is the only way to curb these dark patterns.

Like other commentators have said these are extremely well resourced companies looking for ways to exploit human psychology at scale. It's in a walled garden, compiled app so it's you have very limited ability to modify what you're shown. End-users of apps need to be given more power over what they can be shown and if that kills companies then to me that's an acceptable tradeoff.


I don't know if you intended this to be only spent selfishly. But if you look to how the old robber barons spent their money they did things like giving the US a large portion of it's public library system. I don't think it would be hard find things to do like this that make everyones lives better.


Charity washing is a thing. And you get more control than just paying those pesky takes and letting the leasers choose that happens to it.

I'm still a fan of libraries. Just not private philanthropy displacing what should be public utilities and institutions.


The fact you were able to get >$1B already made a lot of people's lives significantly worse. Charity is just a way to whitewash hoarding and exploitation.


It feels they should be a neutral payment system. They're implementing global policy otherwise due the monopoly they have, that's something that should handled at government/state level.


How do you infer swimming in an ocean is dangerous?


Is that something people think? As far as I remember, I never felt unsafe swimming in any large body of water, give the conditions are alright. Based on my own experience, I would assume people default to thinking bodies of water are not dangerous, but probably depends a lot on the location of your upbringing (which for me was on an island).


You don't know anyone who drowned?


No, is that common where you're from?


It's telling this sentence has the student as one to blame, when it's a structural issue and the weight of the blame rests more heavily on the shoulders of the universities.


I also find this an interesting thought. Maybe an inability to monetize ideas in the space?

I've read many many anecdotes over the years of Europeans learning or perfecting their English language skills playing classic point and click adventure games that were either unavailable localised or the localisation was bad. It feels like that's an interesting language learning entry point.

I also like the idea of an AI plugged into a glasses video camera just narrating what you're doing in your target language.


If you want to follow someone playing with this, there's Steve Grand, who wrote the original creatures game and kickstarted something a bit more ambitious https://www.kickstarter.com/projects/1508284443/grandroids-r...


For me Mastodon misses some common workflows I have. When I find someone interesting I like to easily see who they follow with bios and then I may follow some of those. In Twitter and Bluesky this is pretty easy, in Mastodon it's hard and has a lot of friction points.


I have been trawling through the Wizardry 1 decompiled pascal source code for the Apple II. Uncovering neat little bits like:

  PROCEDURE PAUSE1;   (* P010011 *)

  BEGIN
   FOR LLBASE04 := 0 TO TIMEDLAY DO
     BEGIN
     END;
  END;
The perks of having standard hardware and a compiler that doesn't optimise away empty loops.


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