>GPT by any definition of AGI is not AGI. You are ignoring the word "general" in AGI. GPT is extremely niche in what it does.

Definitions in the 90s basically required passing the Turing Test which was probably passed by GPT3.5. Current definitions are too broad but something like 'better than the average human at most tasks' seems to be basically passed by say GPT5, definitions like 'better than all humans at all tasks' or 'better than all humans at all economically useful tasks' are closer to Superintelligence.

▲

jb1991 a day ago | parent [-]

The Turing Test was never about AGI.

▲

nearbuy a day ago | parent [-]

That's pretty much exactly what Alan Turing made the Turing test for. From the Wikipedia entry:

> The Turing test, originally called the imitation game by Alan Turing in 1949, is a test of a machine's ability to exhibit intelligent behaviour equivalent to that of a human.

> The test was introduced by Turing in his 1950 paper "Computing Machinery and Intelligence" while working at the University of Manchester. It opens with the words: "I propose to consider the question, 'Can machines think?'"

> This question, Turing believed, was one that could actually be answered. In the remainder of the paper, he argued against the major objections to the proposition that "machines can think".

▲

jb1991 a day ago | parent [-]

Cherry-picking is not a meaningful contribution to this discussion. You are ignoring the entire section on that page called “Weaknesses”.

	▲	nearbuy 15 hours ago \| parent [-]
		Cherry-picking? You made a completely factually wrong statement. There was no cherry-picking. You said the Turing test was never about AGI. You didn't say it has weaknesses. Even if it were the worst test ever made, it was still about AGI. Ignoring the entire article including the "Strengths" section and only looking at "Weaknesses" is the only cherry-picking happening. And if you read the Weaknesses section, you'll see very little of it is relevant to whether the Turing test demonstrates AGI. Only 1 of the 9 subsections is related to this. The other weaknesses listed include that intelligent entities may still fail the Turing test, that if the entity tested remains silent there is no way to evaluate it, and that making AI that imitates humans well may lower wages for humans.