I just don't see how more compute solves the issues they have with the fact that they've basically providing only marginal improvements on precious tasks but we'll see
I just don't see how more compute solves the issues they have with the fact that they've basically providing only marginal improvements on precious tasks but we'll see
Every bit of research I've seen on LLMs suggests they're just stuffing more heuristics into a bag of heuristics the more compute and training data they get, not actually developing any fundamental reasoning capabilities
I don’t see how they could! If I were in charge I’d be focusing on how to leverage the capabilities that already exist Like, if you invented the forklift but no one understood pallets What’s the task container that makes the tool an actual multiplier? I would be focusing on that question
But I work in client services so I guess “focus on implementation” is always going to be my suggestion to a tech company 🤣🤣
Google search finally learned that it should stop recommending that people eat rocks. Though the AI summary does still cite satirical articles to justify claiming that it's valid to do so. In other words, more compute can get us closer to the "eat zero rocks" asymptote.
Yeah the advances won't come from compute, but some new crazy unknown thing like word2vec and transformers were for what we have now
More compute is helpful but we're already well into the diminishing returns part from what I can tell