hi.,

Its Saying that GPT-3 is not AGI in no way diminishes the accomplishment of GPT-3 or reduces its usefulness or applicability. But the bottom line: GPT-3, while impressive, still lacks the capabilities that AGI demands.GPT-3 is the first model to shake that status-quo seriously. GPT-3 is the latest language model from the OpenAI team. They published the paper in May 2020, and in July, OpenAI gave access to the model to a few beta testers via an API.

GPT 3 is the most powerful language model ever built. GPT 3 can write poetry, translate text, chat convincingly, and answer abstract questions. It's being used to code, design, and much more.GPT-3 is a language prediction model that operates on deep learning principles. ... GPT-3 has emerged as the most powerful and advanced machine-based tool for writing in the English language. GPT-3 is able to produce human-like text based on its access to massive amounts of computing power and data.

GPT-3 is a sophisticated parrot with many useful applications but it’s nowhere near AGI.

I like AI Wirdness post with examples which shows GPT-3’s "intelligence":

https://aiweirdness.com/post/621186154843324416/all-your-questions-answered

Dear Rzepka. Thank you for the answer. These are weird mistakes from human beings' perspectives. However, dont you think underestimating GPT-3 (which I dont claim you do) on such mistakes is anthropomorphic? I mean we humans do other mistakes, but since we are quite familiar with and used to such mistakes we do not feel that these prevents us from having general intelligence. If we want to compare an AI system with human counterparts we should do it in a more neutral area. Not with a concept of "human" intelligence but with a universal concept of intelligence. Human beings' loss aversion bias, racism, nationalism, way of choosing religions seems comparably irrational to me.

GPT-3 is OpenAI’s newest language model, a deep learning model trained on around 300 billion words. It’s able to “predict” the text that is most likely to follow a given prompt. For example, if you ask GPT-3 a question, it will produce a stream of text that the model predicts (based on all the text it’s been trained on) is the most likely combination of words that would follow. In other words, an answer.

To be clear, this is not “artificial general intelligence” (AGI) as we currently understand it. GPT-3 is not replicating any of the broad human cognitive capabilities that we associate with AGI, such as common-sense reasoning. Rather, it is an extremely powerful language prediction tool. The results, though, can give an uncanny impression of intelligence. We’ve seen examples of entire newspaper articles written by GPT-3. And it can produce a surprisingly real-sounding “fake” press release given two just samples as input. So while GPT-3 isn’t really doing common-sense reasoning, it’s a step closer to it.