Things have been improving rapidly. Try interpreting AGI conservatively, i.e. not ASI, not alive or full simulation of a human, just something that can do all

Things have been improving rapidly. Try interpreting AGI conservatively, i.e. not ASI, not alive or full simulation of a human, just something that can do all or almost all human cognitive tasks. GPT-4 can handle many human tasks with the right configuration. There might be multiple ways to improve things like reasoning. Larger, more efficient and better curated datasets. Or maybe there is a way to embed some kind of TorchOpt stuff inside the models. Baking in batches of tree of thought. Micro development environments or logic programming tightly integrated with inference. Etc. Also, the emphasis on more animal-like abilities than LeCun is focusing on could start to pay off within a couple of years. Given a conservative interpretation of "AGI", I take what Altman said at face value. They need to have ambitious goals because of the rate of progress, level of competition, high stakes, and very high level talent.