Daniel Samuel's Shortform
Apr 13, 20251
Daniel Samuel
7
2
4
What is a kind of bias in which nice things done by a person who is for example always lovely, have less value to us than nice things done by someone who is usually unpleasant? The reverse can also be true, of course. If this is a specific type of...
Tax incentives for AI safety - rough thoughts
A number of policy tools such as regulations, liability regimes or export controls - aimed at tackling AI risks - have already been explored, and mostly appear as promising and worth further iterations.
But AFAIK no one has so far come up with a concrete proposal to use tax policy tools to internalize AI risks. I wonder why, considering that policies, such as tobacco taxes, R&D tax credits, and 401(k), have been mostly effective. Tax policy also seems to be underutilized and neglected, given we already possess sophisticated institutions like tax agencies or tax policy research networks.
Safety measures spending of AI Companies seems to be relatively... (read 552 more words →)
Newsom’s stance on Big Tech is a bit murky. He pushed ideas like the Data Dividend but overall, he seems pretty friendly to the industry.
As for Pelosi, she’s still super influential, but she’ll be 88 by the next presidential election. Her long-term influence is definitely something to watch and Newsom probably has a good read on how things will shift.
I like this concept. If you were to introduce the element of treatment, would you say it works according to two dimensions, or is there a better explanation/metaphor?
Personally, I also like to think about depression as a taxation on willpower with varying rates (low rate for mild depression, etc.).
Every time I start to freak out about AI—be it timelines, risks, or whatever—I come back to this post to get down to earth a bit and avoid making foolish life decisions.
What is a kind of bias in which nice things done by a person who is for example always lovely, have less value to us than nice things done by someone who is usually unpleasant? The reverse can also be true, of course.
If this is a specific type of bias do you know of quality research papers describing this phenomenon or this particular situation?