

Generally the benchmark for AGI has been “human level intelligence” meaning that from there on AI is also the best AI researcher and human input is no longer needed in developing it. That’s where the concept of singularity or intelligence explosion stems from.
The narrative here tends to be that it goes from AGI to ASI (Artificial Super Intelligence) very rapidly but in my view there’s not a significant difference between the two. AI that is as intelligent as a human but not more would still process information about a million times faster so effectively it would still be superintelligent.







It’s technically true but not the whole truth. Those calculations leave out certain costs such as the value of the stocks given to employees, the cost of training new models and revenue shared with partners like Amazon. It’s not that uncommon practice with technology companies when wanting to show inverstors a cleaner picture of the core business but it does not mean that the company as whole has become profitable.