AI Developers are Realizing that AI “Agents” Cannot Replace Humans – AI “Not Comparable to Humans or even Animals”
Andrej Karpathy, one of the founding members of OpenAI along with Sam Altman, made a lot of waves in the AI Tech world this past weekend, when he stated that the idea of AI replacing humans as being "right around the corner" was not true, and that industry leaders were over-hyping it for financial gain. He stated that AI code cannot learn or reason like humans, or even animals. A lot of Karpathy’s criticisms of his own field seem to boil down to a single point: As much as we like to anthropomorphize large language models, they’re not comparable to humans or even animals in the way they learn. For instance, zebras are up and walking around just a few minutes after they’re born, suggesting that they’re born with some level of innate intelligence, while LLMs have to go through immense trial and error to learn any new skill, Karpathy points out. While this news shocked the AI world this week, it is all pretty basic stuff I have been writing about and saying for about 2.5 years now. AI can NOT replace humans, but the new Large Language Models (LLM) AI that started with OpenAI and Microsoft at the end of 2022, does have some value as a tool to assist humans and make their work easier and quicker. Once the AI bubble bursts, the real-world applications and usefulness of this AI will remain, but will our economy survive the correction in the market that is coming?