That paper doesn’t seem to rule out AGI, only an single LLM model that can answer every arbitrarily difficult question on demand.
AGI does not necessarily mean one model acting alone, or being able to answer any question on demand. Humans are the same way: we often need time or collaboration to arrive at conclusions, but that doesn’t mean we don’t have “general intelligence”.
You’re not going to context hack complexity, every time you summarise something and pass it onto the next agent. You’re losing complexity.
We’re going to get some massive models with incredible context, but AGI requires models to never hallucinate. Even when the complexity requires more context than it has available, which is not feasible
That paper doesn’t seem to rule out AGI, only an single LLM model that can answer every arbitrarily difficult question on demand.
AGI does not necessarily mean one model acting alone, or being able to answer any question on demand. Humans are the same way: we often need time or collaboration to arrive at conclusions, but that doesn’t mean we don’t have “general intelligence”.
You’re not going to context hack complexity, every time you summarise something and pass it onto the next agent. You’re losing complexity.
We’re going to get some massive models with incredible context, but AGI requires models to never hallucinate. Even when the complexity requires more context than it has available, which is not feasible