Earlier quoted context omitted.
The advances in robotics makes it look like a humanoid robot that could harvest lettuce is only a decade or two away. Making the robot is the easy part. The code to drive it has been the hard part. Until now, that is.
California has about 800,000 agricultural laborers and about 400,000 FTE’s. That’s a lot of robots…and they probably won’t be able to drive themselves from field to field.
Ask HN: Have LLMs Plateaued?
31–35 of 35 posts
Re: Ask HN: Have LLMs Plateaued?
#32Re: Ask HN: Have LLMs Plateaued?
#33I mean this in the sense of the human user of the LLM, not the human builders of the LLM; but I guess it is both really.
Re: Ask HN: Have LLMs Plateaued?
#34I think the giant leap in AI technology was the Transformer. ChatGPT is based on it, with an incredible chat user interface. In terms of technology, there has been no similarly significant innovation since then. But user interfaces and training data keep improving, which continues to increase our productivity.
what makes it incredible?
Re: Ask HN: Have LLMs Plateaued?
#35Earlier quoted context omitted.
how can you learn to use a tool that keeps changing unpredictably?
Well, I was assuming that what you learned about driving generation X of a tool would be at least mostly applicable to driving generation X+1 of it. That may be false, at least for some values of X.