q(Alex Kiefer | everything else)

The bottleneck of current AI is simple: the techniques we use are still predicated on pattern memorization and retrieval, and thus they need *someone* to tell them which patterns to memorize (training data, RL envs...) That role cannot yet be played by AI in a truly open-ended and autonomous way. We can't yet remove the humans in the loop. In that sense, current AI is still purely a reflection of human cognition (both in terms of which tasks/goals it pursues and the patterns it uses to solve them). It isn't yet its own thing.

i knowww this take will be universally hated but i negatively update on the iq of anyone who believes in qualia or the hard problem of consciousness

Reading the paper, I now understand how their approach forms a thermodynamic computer of sort. It literally thermalizes towards low energy states via Gibbs dynamics! So the whole chip is effectively a massively parallel Gibbs sampler that continuously relaxes toward the equilibrium distribution of the energy function encoded by its weights!