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Working in ML Engineering this doesn’t surprise me in the least. The ratio between “impressiveness of technology” to “the number of practical problems actually
by NeutralCrane 2y ago
Working in ML Engineering this doesn’t surprise me in the least. The ratio between “impressiveness of technology” to “the number of practical problems actually solved” is probably higher for LLMs than just about any tech to come out in my career, probably longer. Every executive at every company is tripping over themselves to incorporate “AI” (which is almost exclusively defined as LLMs, for some reason) into their products. Problem is that many, if not most, companies really don’t have meaningful use cases for LLMs. So you end up with a bunch of problems being invented so they can be solved with AI. What feature can Facebook provide for their users utilizing LLMs that users actually, genuinely care about? I can’t think of any. And I assume Facebook can’t either, which is how they arrived at this.
- rsynnott 2y ago> Every executive at every company is tripping over themselves to incorporate “AI” (which is almost exclusively defined as LLMs, for some reason) into their products I think a hangover from the last AI winter, after which everything that would previously have been called ‘AI’ got called ‘ML’, the term ‘AI’ then being shareholder poison. Anything older than the current AI bubble mostly gets called ‘ML’ still, with a possible exception for non-LLMish CV stuff.