Lots of comments either defending this ("it's taking a chance on being the first to build AGI with a proven team") or saying "it's a crazy valuation for a 3 month old startup". But both of these "sides" feel like they miss the mark to me. On one hand, I think it's great that investors are willing to throw big chunks of money at hard (or at least expensive) problems. I'm pretty sure all the investors putting money in…
That said, my personal hypothesis is that AGI will emerge from video generation models rather than text generation models. A model that takes an arbitrary real-time video input feed and must predict the next, say, 60 seconds of video would have to have a deep understanding of the universe, humanity, language, culture, physics, humor, laughter, problem solving, etc. This pushes the fidelity of both input and output far beyond anything that can be expressed in text, but also creates extraordinarily high computational barriers.