3 ms·
What are the technicalities?
by benchmarkist 2y ago
What are the technicalities?
- sigmoid10 2y agoScaling 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 2y agoWishful thinking. You can revisit this comment in 2028 and decide whether you were right or not.