Assuming you do trust those, then assuming the formalisation passes lean (and lean has no bugs!), then the whole idea is you've got a proof of the theorem.
15,698 karma · joined June 18, 2010
chris@bubblescope.net
Assuming you do trust those, then assuming the formalisation passes lean (and lean has no bugs!), then the whole idea is you've got a proof of the theorem.
Maybe the model is getting confused. Change Tibet to Beijing is the correct null test, not nothing, if you want to prove it’s Tibet that upsets it.
1) We have a legal system which (not perfectly) can reverse or fix issues which arise, with crypto money, it's just gone.
2) Someone who can produce fake colourful paper will typically only be able to produce a fairly small amount and not destabilize the whole currency. In the rare occurrences where someone found a significant hack in a crypto-currency, it's just done.
https://bugzilla.mozilla.org/show_bug.cgi?id=752844
(The bug is they do 'clever matching', so wedding matches weds, and too many emails you weds for wednesday, you can't say 'just show the word I ask you for')
While you can give people guidance to install a more up-to-date python, everything is much, much harder than the default experience that gives them 3.9.6 (and also once you have them running a custom version with uv or something, may as well just get them to install 3.15!)
Of course, even worse than the menus was when companies realised they could give you unskippable adverts and trailers on your DVDs.
If you are wondering ‘How are you getting that much failure’, it’s because I like to freeze older versions and they often decay for one reason or another (can’t get files for example)
This isn’t a zero sum game, I’m happy to hear from people both previously inside OpenAI and completely independent of them.
Yes, it is easier to have a moral compass when you don’t have to worry about you and your children starving. But that doesn’t imply that moral compass is wrong or broken.
I've spent significant chunks of my career help people throw away backtracking searchers people polished over years with a CP-SAT model I threw together in 30 minutes, often much to their upset.
You can for Sudoku often beat a CP-SAT solver, but that's because the problems are trivial and take milliseconds. If you look at more difficult Sudoku variants, or 16x16 grids, backtracking solvers start to fall behind.
People used to solve logic problems by hand, verify logic. Now you pile it into a computer. The problem has been around for a while, no-one fully ‘understands’ the proof of the four colour theorem as a big chunk is computer proved.
We are now just changing (admittedly greatly) what we can put in a box marked ‘checked by computer.
For a start LLMs love LLM generated text, so you are boosting papers people never had any input in.
Secondly, LLMs in my experience are good at small issues, but fail totally at the whole paper being obviously poorly constructed, or clearly fake.
If you want help, I've done some similar work, you could pop it up on a github repo or something. What is the game?
1) AI companies all get sued out of existence.
2) AI companies can train networks with piracy, those networks don't fall under copyright, so give me a copy to do what I want with.
Also, companies spent a long time telling us downloading single songs via Napster was the worst thing ever, before torrenting every book in existence themselves. I don’t believe any of these companies have paid for all the books they have trained on.