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I think this post and others reactions and then your comment this far down really encapsulates where we’re at with this technology. Nearly 90 percent of commen
by flextheruler 3y ago
I think this post and others reactions and then your comment this far down really encapsulates where we’re at with this technology.
Nearly 90 percent of comments on posts about LLMs are people talking about how the near future is about to boggle our minds and that general intelligence is near, but all my experiences with these LLMs show they’re capable of making the most basic of mistakes and doing so confidently and that’s just the tip of the iceberg in terms of their problems.
I’m having a hard time buying into the hype that these will be able to competently replace nearly any job anytime soon. They’re useful tools but they all come with a big asterisk of human hand holding.
- TrackerFF 3y agoHumans are also perfectly capable of confidently doing mistakes. The big difference here is that these models can scale the work beyond human capability. Why pay 10000 mechanical turks to extract information from vids, if you can deploy N of these models, and get the work done at a fraction of the time? Instead you can keep x% of the MTurks to check the vids where the model yields some high uncertainty score, and randomly audit other vids for quality assurance. There's crazy amounts of potential in these things. Hell, the place I work at has already replaced certain human tasks with LLM-integrated solutions, with extremely good results.