3 ms·
>...Then he basically asserts that we can extrapolate the near-term availability of tons more compute power from Moore’s Law, which is where he lost me. That's
by wycs 8y ago
>...Then he basically asserts that we can extrapolate the near-term availability of tons more compute power from Moore’s Law, which is where he lost me.
That's not what he's asserting. Even with Moore's law dead, OpenAI claims there is significant room with ASICs, analog computing, and simply throwing more money at the problem. There is a ton of low-hanging fruit in Non-Von Neumann architectures. We should expect it to be plucked, as we have huge use case which is potentially limitlessly profitable.
- simonh 8y agoThat's how I take it as well, as I said in another comment it is a compelling pitch. And yes he's not talking about Moore's Law, but how much compute is actually being dedicated to DLNN's simply because the value of doing so is going up so fast.
- foobiekr 8y agoThe video boils down to “more compute => AGI.” It’s silly and specious.
- iotb 8y agoAccelerating the efficiency of an optimization algorithm doesn't get you AGI, this should be clear by now. As for fielding such systems, one quick way to destroy humanity to a degree is to turn everything into a glorified optimization problem which will no doubt be turned against people to maximize profit.
- red75prime 8y agoIf you'll accelerate AIXI (optimization algorithm) [0], you'll get (real-time) AGI. [0]: https://en.wikipedia.org/wiki/AIXI https://en.wikipedia.org/wiki/AIXI
- iotb 8y agoIf only this wasn't an fundamentally flawed theory that isn't scalable based on computational complexity and information theory.
- red75prime 8y agoApproximations to AIXI are computable.