There is no AGI. Whatever they reach, there will always be a next level.
In the 1980s if you said you could make a computer play Go better than the best human masters, there are those who would have said “that would be true artificial intelligence.” Then it happened, and the world moved on.
There was a time when a computer understanding speech, translating languages, would have been considered true artificial intelligence, then we got there, and the world moved on.
LLMs have solved a mathematical question left open with prize money for decades unsolved by humans (just one, really, that I know of, so far…), but that’s not AGI yet…
Many forms of “the Turing Test” are being passed by LLMs tested against the majority of the general population now, but apparently that’s not AGI yet…
AGI will continue to be a moving goalpost, as it should be. It’s not a finish line, it’s a journey. Even when automated systems are building themselves from raw material inputs, designing and building their own infrastructure, power plants, communications, and continuously improving their own designs, there will be those who still design new tests for “AGI” that they don’t pass, yet.
AI and AGI are not synonymous terms. We’ve had AI since 1956. General intelligence means human-level intelligence. When an AI system can do any task as well as or better than humans can, it’s by definition generally intelligent.
We’re not changing the definitions. People thought that chess is so hard that once an AI system can play chess it has to be as intelligent as humans. That just turned out to be a false assumption. A system can be superhuman at playing chess but that ability doesn’t need to translate to any other field.
General intelligence means human-level intelligence.
Applicable quote from a Yosemite park ranger: “There is considerable overlap between the intelligence of the smartest bears and the dumbest tourists.”
We’re not changing the definitions. People thought that chess is so hard… That just turned out to be a false assumption
Sounds like changing definitions to me.
A system can be superhuman at playing chess but that ability doesn’t need to translate to any other field.
AlphaZero has been superhuman at playing chess, Go, and basically any game with perfect information and fixed rules since early 2018. That’s translatable to other fields - it’s not as strong in some fields as it is in playing Go, but it’s still translatable ability…
There is no AGI. Whatever they reach, there will always be a next level.
In the 1980s if you said you could make a computer play Go better than the best human masters, there are those who would have said “that would be true artificial intelligence.” Then it happened, and the world moved on.
There was a time when a computer understanding speech, translating languages, would have been considered true artificial intelligence, then we got there, and the world moved on.
LLMs have solved a mathematical question left open with prize money for decades unsolved by humans (just one, really, that I know of, so far…), but that’s not AGI yet…
Many forms of “the Turing Test” are being passed by LLMs tested against the majority of the general population now, but apparently that’s not AGI yet…
AGI will continue to be a moving goalpost, as it should be. It’s not a finish line, it’s a journey. Even when automated systems are building themselves from raw material inputs, designing and building their own infrastructure, power plants, communications, and continuously improving their own designs, there will be those who still design new tests for “AGI” that they don’t pass, yet.
AI and AGI are not synonymous terms. We’ve had AI since 1956. General intelligence means human-level intelligence. When an AI system can do any task as well as or better than humans can, it’s by definition generally intelligent.
We’re not changing the definitions. People thought that chess is so hard that once an AI system can play chess it has to be as intelligent as humans. That just turned out to be a false assumption. A system can be superhuman at playing chess but that ability doesn’t need to translate to any other field.
Applicable quote from a Yosemite park ranger: “There is considerable overlap between the intelligence of the smartest bears and the dumbest tourists.”
Sounds like changing definitions to me.
AlphaZero has been superhuman at playing chess, Go, and basically any game with perfect information and fixed rules since early 2018. That’s translatable to other fields - it’s not as strong in some fields as it is in playing Go, but it’s still translatable ability…