Quick takes

A lot of policy research seems to be written with an agenda in mind to shape the narrative. And this kind of destroys the point of policy research which is supposed to inform stakeholders and not actively convince or really nudge them. This might cause polarization in some topics and is in itself, probably snatching legitimacy away from the space. I have seen similar concerning parallels in the non-profit space, where some third-sector actors endorse/do things which they see as being good but destroys trust in the This gives me scary unilaterist's curse vibes..

The Belgian senate votes to add animal welfare to the constitution. It's been a journey. I work for GAIA, a Belgian animal advocacy group that for years has tried to get animal welfare added to the constitution. Today we were present as a supermajority of the senate came out in favor of our proposed constitutional amendment. The relevant section reads: It's a very good day for Belgian animals but I do want to note that: 1. This does not mean an effective shutdown of the meat industry, merely that all future pro-animal welfare laws and lawsuits will have an easier time.  And, 2. It still needs to pass the Chamber of Representatives. If there's interest I will make a full post about it if once it passes the Chamber. EDIT: Translated the linked article on our site into English.

I see way too many people confusing movement with progress in the policy space.  There can be a lot of drafts becoming bills with still significant room for regulatory capture in the specifics, which will be decided later on. Take risk levels, for instance, which are subjective - lots of legal leeway for companies to exploit. 

I don't think we have a good answer to what happens after we do auditing of an AI model and find something wrong.   Given that our current understanding of AI's internal workings is at least a generation behind, it's not exactly like we can isolate what mechanism is causing certain behaviours. (Would really appreciate any input here- I see very little to no discussion on this in governance papers; it's almost as if policy folks are oblivious to the technical hurdles which await working groups)

Everyone who seems to be writing policy papers/ doing technical work seems to be keeping generative AI at the back of their mind, when framing their work or impact.    This narrow-eyed focus on gen AI might almost certainly be net-negative for us- unknowingly or unintentionally ignoring ripple effects of the gen AI boom in other fields (like robotics companies getting more funding leading to more capabilities, and that leads to new types of risks).   And guess who benefits if we do end up getting good evals/standards in place for gen AI? It seems to me companies/investors are clear winners because we have to go back to the drawing board and now advocate for the same kind of stuff for robotics or a different kind of AI use-case/type all while the development/capability cycles keep maturing. We seem to be in whack-a-mole territory now because of the overton window shifting for investors.

As someone predisposed to like modeling, the key takeaway I got from Justin Sandefur's Asterisk essay PEPFAR and the Costs of Cost-Benefit Analysis was this corrective reminder – emphasis mine, focusing on what changed my mind: More detail: Tangentially, I suspect this sort of attitude (Iraq invasion notwithstanding) would naturally arise out of a definite optimism mindset (that essay by Dan Wang is incidentally a great read; his follow-up is more comprehensive and clearly argued, but I prefer the original for inspiration). It seems to me that Justin has this mindset as well, cf. his analogy to climate change in comparing economists' carbon taxes and cap-and-trade schemes vs progressive activists pushing for green tech investment to bend the cost curve. He concludes:  Aside from his climate change example above, I'd be curious to know what other domains economists are making analytical mistakes in w.r.t. cost-benefit modeling, since I'm probably predisposed to making the same kinds of mistakes. 

Radar speed signs currently seem like one of the more cost effective traffic calming measures since they don't require roadwork, but they still surprisingly cost thousands of dollars. Mass producing cheaper radar speed signs seems like a tractable public health initiative

https://forum.effectivealtruism.org/events/cJnwCKtkNs6hc2MRp/panel-discussion-how-can-the-space-sector-overcome  This event is now open to virtual attendees! It is happening today at 6:30PM BST. The discussion will focus on how the space sector can overcome international conflicts, inspired by the great power conflict and space governance 80K problem profiles.