[sigmoid10]

Scaling up compute, creating and curating data (be it human or synthetically sourced) and more resilient benchmarking for example. But on the algorithmic side we already have a true general purpose, arbitrarily scalable, differentiable algorithm. So training it to do the right stuff is essentially the only missing ingredient. And models are catching up fast.

[benchmarkist]

Wishful thinking. You can revisit this comment in 2028 and decide whether you were right or not.