Hacker News Reader

That's still not enough. The biggest architectural hurdle to actualised artificial intelligence is the feed forward model. Unlike AI, all animals take in various inputs and produce various outputs asynchronously. That means the feed forward model of all NNs are fundamentally limited. Even recurrent NNs can't overcome this since they need a new input every iteration.

View on HN

Makes sense.

The counterpoint would be that when they started to build LLMs they must have clearly seen limitations of the approach and proceeded regardless, and achieved quite a bit. So the approach to introduce continuous (in-vivo if you will) self-guided training AND multiple sensors and actuators would still be limited but might yield some interesting results nevertheless.

Reply on news.ycombinator.com