3 ms·
How is throwing more (truly intelligent) computers at the problem any different than throwing more human brains at it? It's not just computing power that had be
by fchollet 14y ago
How is throwing more (truly intelligent) computers at the problem any different than throwing more human brains at it? It's not just computing power that had been exploding, it is also the number of people trying to crack the nut of AI (for instance).
- gd1 14y agoBecause the human brains can only communicate and acquire knowledge at a limited rate. This causes the "exponential decrease of discovery impact of each succeeding researcher" that the original post refers to, but he misses the point completely. We can't 'stand on the shoulders of giants' until we've climbed up there, slowly and painfully. An AI can just download the lot. And share any new discoveries with the hive mind.
- jpadkins 14y agoit's sci fi, but we haven't ruled out that human brains can't acquire knowledge at rates orders of magnitudes faster than current learning methods. Big advances in neuroscience and linguistics could make this possible. Right now, the limits on our bandwidth is language and our sensory inputs. It's not completely ridiculous to think we could encode certain kinds of knowledge in more compact forms, and transmit them via an artificial sensory process that has higher higher bandwidth that audio/visual language based learning...
- FeepingCreature 14y agoThe singularity idea does not care how the self-improvement feedback occurs.