Earlier quoted context omitted.
If you look at compute scaling and model improvement on that compute, we’re going to get there pretty fast. Both compute, architecture and cost matter, and those have been improving like crazy. I don’t know about you, but I didn’t expect GPT-4o to come out at half the price one year later, with real-time voice, image and text. There is zero sign of slowing, Nvidia keeps building beefier GPUs specialized in LLMs, the…
And still, Yann LeCun (head of AI at Meta, renowned AI/ML researcher) is convinced that we are far from reaching AGI. He makes convincing arguments, especially around the fact that we are not able to expose models to the amount of redundant information that even a young kid is exposed to. I guess we'll see some shifting goals around "what is even AGI". You say the we'll have soon "models that most of us consider AGI…
So already, his argument is outdated. He had made a few of these claims over the last year that have been quickly disproven by a new model.