This is also how I interpreted it.
It would be great if there were more options. I would absolutely leave my current job, and bring my ML experience with me, to a role in AI safety. I would be okay to take a pay cut to do it. This doesn’t seem like an option to me though, after a brief bit of searching on and off over the last year.
Great essay. Though I would note that “price gouging” usually refers to the scenario described: when the change in price is possible only by virtue of seller market power. I think the term is misused enough that it makes sense to present the example as is, but I would call it a pretty basic error in terminology for the scenario, absent seller market power, being referred to as price gouging.
Great work here, but I do feel that the only important observations in practice are those about reasoning. To the extent that obtaining visual information is the problem, I think the design of language models currently is just not representative of how this task would be implemented in real robotics applications for at least two reasons:
- The model is not using anywhere near all of the information about an image that it could be, as language models which accept image data are just accepting an embedding that is far smaller (in an information theoretic sense)
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