Over just a few months, ChatGPT went from correctly answering a simple math problem 98% of the time to just 2%, study finds
Over just a few months, ChatGPT went from correctly answering a simple math problem 98% of the time to just 2%, study finds
The chatbot gave wildly different answers to the same math problem, with one version of ChatGPT even refusing to show how it came to its conclusion.
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It’s gonna be so fucking rich that the staggering mass of stupidity online prevents us from improving an AI beyond our intelligence level.
Thank the shitposter in your life.
Shitposting saves jobs
Shitposters on the Internet are the new clogs in the machine
Shitposting alone saves. Blessed is he who shitposts, more blessed is the one who has been shitposted upon. Shitpost save us all
You can't really blame the amount of stupidity online.
The problem is that ChatGPT (and other LLM) produce content of the average quality of its input data. AI is not limited to LLM.
For chess we were able to build AI that vastly outperform even the best human grandmasters. Imagine if we were to release a chess AI that is just as good as the average human...
We call them chess ai. But they're not actually real A.I. chess bots work off of opening books, predetermined best practices. And then analyzes each position and potential offshoots with an evaluation function.
They will then start to brute-force positions until it finds a path that is beneficial.
While it may sound very much alike. It works very differently than an A.I. However. It turned out that A.I software became better than humans at writing these functions.
So in a sense, chess computers are not A.I. They're created by A.I. at least Stockfish 12 has these "A.I inspired" evaluations. (Currently they're on Stockfish 15 I believe)
And yes. We also did make "chess AI" that is as bad as the average player. We even made some that are worse. Because we figured it would be nice if people can play a chess computer that is on the same skill level as the player. Rather than just being destroyed every time.
The definition of "AI" is fuzzy and keeps changing. Basically when an AI use case becomes solved and widespread it stopped being seen as AI.
Face recognition, OCR, speech recognition, all those used to be considered AI but now they're just an app on your phone.
I'm sure in a few years we'll stop thinking about text generation as AI, but just one more tool we can leverage.
There is no clear definition of "real AI".
Those are all still AI. Scientists still have a functional definition that includes these plus more scripted AI like in video games.
Essentially, any algorithm that learns and acts on information that has not been explicitly programmed is considered AI.
What's your definition for "AI"?
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