+But fighting for public epistemology is a long battle; it makes more sense if you have _time_ for it to pay off. Back in the late 'aughts and early 'tens, it looked like we had time. We had these abstract philosophical arguments for worrying about AI, but no one really talked about _timelines_. I believed the Singularity was going to happen in the 21st century, but it felt like something to expect in the _second_ half of the 21st century.
+
+Now it looks like we have—less time? Not just tautologically because time has passed (the 21st century is one-fifth over—closer to a quarter over), but because of new information from the visible results of the deep learning revolution during that time. Yudkowsky seemed particularly spooked by AlphaGo and AlphaZero in 2016–2017.
+
+[TODO: specifically, AlphaGo seemed "deeper" than minimax search so you shouldn't dimiss it as "meh, games", the way it rocketed past human level from self-play https://twitter.com/zackmdavis/status/1536364192441040896]
+
+My AlphaGo moment was 5 January 2021, when OpenAI released [DALL-E](https://openai.com/blog/dall-e/) (by far the most significant news story of that week in January 2021). Previous AI milestones, like GANs for a _fixed_ image class, were easier to dismiss as clever statistical tricks. If you have thousands and thousands of photographs of people's faces, I didn't feel surprised that some clever algorithm could "learn the distribution" and spit out another sample; I don't know the _details_, but it doesn't seem like scary "understanding." DALL-E's ability to _combine_ concepts—responding to "an armchair in the shape of an avacado" as a novel text prompt, rather than already having thousands of avacado-chairs and just spitting out another one of those—viscerally seemed more like "real" creativity to me, something qualitatively new and scary.
+
+[As recently as 2020, I had been daydreaming about](/2020/Aug/memento-mori/#if-we-even-have-enough-time) working at an embryo selection company (if they needed programmers—but everyone needs programmers, these days), and having that be my altruistic[^eugenics-altruism] contribution to the great common task. Existing companies working on embryo selection [boringly](https://archive.is/tXNbU) [market](https://archive.is/HwokV) their services as being about promoting health, but [polygenic scores should work as well for maximizing IQ as they do for minimizing cancer risk](https://www.gwern.net/Embryo-selection).[^polygenic-score] Making smarter people would be a transhumanist good in its own right, and [having smarter biological humans around at the time of our civilization's AI transition](https://www.lesswrong.com/posts/2KNN9WPcyto7QH9pi/this-failing-earth) would give us a better shot at having it go well.[^ai-transition-go-well]
+
+[^eugenics-altruism]: If it seems odd to frame _eugenics_ as "altruistic", translate it as a term of art referring to the component of my actions dedicating to optimizing the world at large, as contrasted to "selfishly" optimizing my own experiences.
+
+[^polygenic-score]: Better, actually: [the heritability of IQ is around 0.65](https://en.wikipedia.org/wiki/Heritability_of_IQ), as contrasted to [about 0.33 for cancer risk](https://pubmed.ncbi.nlm.nih.gov/26746459/).
+
+[^ai-transition-go-well]: Natural selection eventually developed intelligent creatures, but evolution didn't know what it was doing and was not foresightfully steering the outcome in any particular direction. The more humans know what we're doing, the more our will determines the fate of the cosmos; the less we know what we're doing, the more our civilization is just another primordial soup for the next evolutionary transition.
+
+But pushing on embryo selection only makes sense as an intervention for optimizing the future if AI timelines are sufficiently long, and the breathtaking pace (or too-fast-to-even-take-a-breath pace) of the deep learning revolution is so much faster than the pace of human generations, that it's starting to look unlikely that we'll get that much time. If our genetically uplifted children would need at least twenty years to grow up to be productive alignment researchers, but unaligned AI is on track to end the world in twenty years, we would need to start having those children _now_ in order for them to make any difference at all.
+
+[It's ironic that "longtermism" got some traction as the word for the "EA" cause of benefitting the far future](https://applieddivinitystudies.com/longtermism-irony/), because the decision-relevant beliefs of most of the people who think about the far future work out to extreme short-termism.
+
+Common-sense longtermism—a longtermism that assumed there's still going to be a world of recognizable humans in 2123—_would_ care about eugenics, and would be willing to absorb political costs today in order to fight for a saner future. The story of humanity would not have gone _better_ if Galileo had declined to publish his theories for fear of the Inquisition.
+
+But if you think the only hope for there _being_ a future flows through maintaining influence over what big state-backed corporations are doing, declining to contradict the state religion makes more sense—if you don't have _time_ to win a culture war, because you need to grab hold of the Singularity (or perform a [pivotal act](https://arbital.com/p/pivotal/) to prevent it) _now_.
+
+[...]
+
+> [_Perhaps_, replied the cold logic. _If the world were at stake._