Earlier quoted context omitted.
Humans are incredibly good at adapting. A few days ago AI solved Navier-Stokes and I was blown away. Now I'm already thinking: "Well, it was only a counterexample and it brute-forced its way to it." lol
> AI solved Navier-Stokes and I was blown away. That's not what happened, go read about it harder, please.
Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher
501–510 of 561 posts
Re: Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher
#502Re: Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher
#503> Various people attempted to decipher it, but it seems they were missing one crucial hint. They tried methods like frequency analysis, substitution, and homophonic substitution, and none of these approaches worked. That’s because they missed one easy clue. It appears that is not true. Someone here [1] has found a [German] blog [2] writing about this cipher. There are two comments (Jan and Helmut) from 2014 under the…
Seems like another case of LLMs taking credit for their training data without giving proper attribution, similar to the navier stokes case.
Re: Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher
#504Earlier quoted context omitted.
The question for me is where it leaves innovation. Have we really peaked as a species that we so easily want to give up on the young and hand them over a tool that would substitute reasoning? Call me naive or old, but I don't see a need to think critically when you have a tool that can outmatch you in that. I tried drawing analogies with Chess, but it doesn't work. Shall I ask AI to do that for me?
> The question for me is where it leaves innovation. Have we really peaked as a species that we so easily want to give up on the young and hand them over a tool that would substitute reasoning? This is a crucial question but I'm afraid the ship has sailed. We should focus on how to prevent atrophy and cultivate our skills in spite of LLMs. For me and many others this means doing thins the old way with occasional assi…
Except in this case I fear we're losing something very important as opposed to the above example.
Re: Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher
#505Earlier quoted context omitted.
Seems like another case of LLMs taking credit for their training data without giving proper attribution, similar to the navier stokes case.
Yup. Listen there’s no doubt LLM’s are powerful. BUT THEY RELY ON HUMAN INPUTS. It’s getting tiresome seeing the same bull shit over and over. The labs have invested hundreds of billions and now need to show RSI. It’s not happening and won’t happen. Without continual new information supplied by humans the models would freeze.
humans rely on human inputs. can then talk about the small number of humans who push the boundaries of knowledge and then talk about when LLMs solve difficult math problems...
Re: Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher
#506Earlier quoted context omitted.
"Yeah it is just token predictor, it could not even beat top 0.01% domain experts so it does not count as intelligence"
that's the point, it is clear the the bar to determine if llms are useful / intelligent is being moved every time these systems improve, but it is starting to fell like people are in denial. we are seeing significant progress, at a rate we are absolutely not used to experience.
But, at the same time, I'm really tired of there always being some shroud of dishonesty (ex. navier stokes and the two mathematicians working on it).
At this point my default is that I don't blindly trust the companies, I try to keep in mind they are trying to sell their product and win market share, there are so many perverse incentives at play I just can't take anything at face value.
Re: Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher
#507Earlier quoted context omitted.
“‘Drink… More…. Ovaltine’, It’s just a crummy ad!?!?” crumples up cypher and tosses away Holiday movie references aside, I guess we can chalk up a few more jobs on the ‘AI Took Our Jerb’ board: secret decoder rings, secret decoder ring-factory workers, and Enigma machine operators… and I guess cryptography-based puzzle enthusiasts, but that’s not a paid position. Another tangent, I’ve only recently realized the OTHER…
Art and music are two very obviously implicated hobbies Do you think anyone likes "AI" art and music? It's pretty widely reviled.
Many people with niche and nostalgic tastes loved that music AI that got sued to oblivion recently.
For the record, I revile both as well. But for every person eating salad, there’s someone subsisting on McDonalds.
Re: Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher
#508Earlier quoted context omitted.
Yup. Listen there’s no doubt LLM’s are powerful. BUT THEY RELY ON HUMAN INPUTS. It’s getting tiresome seeing the same bull shit over and over. The labs have invested hundreds of billions and now need to show RSI. It’s not happening and won’t happen. Without continual new information supplied by humans the models would freeze.
Your opinion is contradicted by overwhelming scientific consensus. Hearing a plausible assertion should not be enough to believe it, friend.
Re: Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher
#509Earlier quoted context omitted.
Art and music are two very obviously implicated hobbies Do you think anyone likes "AI" art and music? It's pretty widely reviled.
Yes, unfortunately. I have met people that love AI videos (my in-laws being the closest to my bubble) and defend them as enjoying creativity. Many people with niche and nostalgic tastes loved that music AI that got sued to oblivion recently. For the record, I revile both as well. But for every person eating salad, there’s someone subsisting on McDonalds.
Re: Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher
#510Earlier quoted context omitted.
Yup. Listen there’s no doubt LLM’s are powerful. BUT THEY RELY ON HUMAN INPUTS. It’s getting tiresome seeing the same bull shit over and over. The labs have invested hundreds of billions and now need to show RSI. It’s not happening and won’t happen. Without continual new information supplied by humans the models would freeze.
> BUT THEY RELY ON HUMAN INPUTS humans rely on human inputs. can then talk about the small number of humans who push the boundaries of knowledge and then talk about when LLMs solve difficult math problems...