If we get AGI by 2025 per Jack Kendall at Rain AI, it's not superintelligence that follows. It's infinite intelligence. The ability to spin up millions, even billions of instances of university level digital intelligences is like a real life infinite monkey theorem. Except the monkeys are smart machines. Put a billion intelligent machines on a hard unsolved problems and you're bound to find some solutions, even if by accident. Solved is solved. Infinite intelligence seems more likely than superintelligence in any estimable time frame, and it will certainly take a lot of compute. Makes sense why AMD raised its estimate of the AI acceleration market from $150 billion in 2027 to $400. They see the same AGI to infinite intelligence opportunity.
Will we get artificial general intelligence by 2025? Jack Kendall thinks so. Jack is co-founder and CTO at Rain AI, a Deepwater Asset Management portfolio company building artificial brains. Words are important in defining AGI. Words are always important. Jack defines AGI as: ? 1. A single network architecture that can in principle learn any combination of data modalities - e.g. speech, vision, language. We have this now. ? 2. The ability to use prior experience to learn new things rapidly. That’s casual understanding. We have this now. ? 3. The ability to reason about things and perform tasks it hasn’t seen before. That’s symbolic reasoning. That's the big thing coming in AI in 2024. Hear more about why we're about to get AGI, what that means, and how Rain will contribute to solving the AI hardware bottleneck on my latest The Deload podcast. https://lnkd.in/ecKjDZJR
