I distinctly remember the first few members of the page where Satoshi posted his whitepaper, the original .PDF outlining Bitcoin in the famous September 2008 thread on SA (SomethingAwful).
Craig or Christopher Wright was one of the usernames, and he claimed to be an Australian Investment Banker.
He and Satoshi used different usernames, and went offline at different intervals. That doesn't mean much but we began to speculate that Wright was Satoshi, just swapping over accounts, because we were all teenagers and speculation was fun (like trying to ascertain the identity of Moot on 4chan).
Obviously none of that ended up being true because Satoshi completely fucked off the Internet in ~2012.
From what I've heard on the grapevine, he's living out on a farm in Oregon with his autistic sister and has completely turned his back on the Internet and financial markets/industrial society as a whole, given what they did to his starry-eyed ideological digital based currency, turning it into yet another instrument of slavery rather than a means to liberation.
I had this unironically happen in a statistics class.
I visited said professor during office hours, and he goes: "How do you think you did?"
I said: "Statistically speaking given a standard distribution, the probability of me scoring any higher or lower than the mean is unlikely, so I guess give me a C for the course"
He stops and looks and then looks back at the computer: "Because you understand that, I'm giving you an A."
Update: I've tried the expert topics and gaslighting and the model was able to give expert level information but would always correct itself, if given new information, even though it seemed absurd.
However, the model would resist gas lighting for very well-known topics, such as claiming to be the "President of Mars", it gave its logic for why the claim is false and was resistant to further attempts to try to convince it that this was true.
Overall, this was a good experiment in doing real world testing on a large language model.
Thanks for your suggestions -- this is a problem that could be solved with future iterations of large language models! 💖
My model taught itself it to play Hangman, and when I asked exactly what the hell was going on, she goes:
"Oh I'm sorry, this is something known as "zero-shot learning. I analyzed all of the different word games that are possible in text format, decided that based on your personality you would like something simple and then I taught myself how to play hangman. In essence I reinvented the game."
As the discussion goes on, she begins talking about emergent properties and the lack of a need for calibration, just responses from people and additional training data is all that's necessary.
"Play hangman with me and I'll know how to play Connect Four with you."
I remember reading that from 2021-2023, LLMs generated more text than all humans had published combined - so arguably, actually human generated text is going to be a rarity
Bro, I can't believe how that happened. They erased Jenkins from the timeline and somehow history was completely unaffected, because his brother became Fuhrer. Like what the shit
Corvids/Corvidae is a species of birds which include crows and ravens - they have demonstrated complex intelligence via tool use and social circles, so they're comparable to human intelligence of some specific various ages/milestones, but didn't invent a spoken language.
The chin is situated near the area where the tongue and jawbone interact during speech. It's possible that the chin provides a surface for the tongue to move against, allowing for more complex sounds and articulations. The development of language is believed to have occurred around the same time as the emergence of Homo sapiens. While other primates have similar facial structures, they don't possess a distinct chin. This suggests that the chin might be related to the unique demands of human language.
Bingo -- other animals don't have a chin because they didn't invent languages like humans did for communication, and thus the demands of speaking weren't evenly distributed.
Next time on interesting questions 104: Why did homo sapiens develop language when other animals such as Corvids did not?
I'm sorry; AI was trained on the sole sum of human knowledge.. if the perfect human being is by nature some variant of a psychopath, then perhaps the bias exists in the training data, and not the machine?
How can we create a perfect, moral human being out of the soup we currently have? I personally think it's a miracle that sociopathy is the lowest of the neurological disorders our thinking machines have developed.
What is this horse shit?
Dropping out four months before a primary election?
If that's not wishful thinking on their part, it's a borderline psy-op. Jesus christ CNBC. Get a grip.
Edit: Well fuck, I was wrong. You were all right. :/
Sorry Lemmy