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Cake day: October 4th, 2023

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  • So far, there has been zero or one[1] lab leak that led to a world-wide pandemic. Before COVID, I doubt anyone was even thinking about the probabilities of a lab leak leading to a worldwide pandemic.

    So, actually, many people were thinking about lab leaks, and the potential of a worldwide pandemic, despite Scott’s suggestion that stupid people weren’t. For years now, bioengineering has been concerned with accidental lab leaks because the understanding that risk existed was widespread.

    But the reality is that guessing at probabilities of this sort of thing still doesn’t change anything. It’s up to labs to pursue safety protocols, which happens at the economic edge of of the opportunity vs the material and mental cost of being diligent. Reality is that lab leaks may not change probabilities, but yes the events of them occurring does cause trauma which acts, not as some bayesian correction, but an emotional correction so that people’s motivations for atleast paying more attention increases for a short while.

    Other than that, the greatest rationalist on earth can’t do anything with their statistics about label leaks.

    This is the best paradox. Not only is Scott wrong to suggest people shouldn’t be concerned about major events (the traumatic update to individual’s memory IS valuable), but he’s wrong to suggest that anything he or anyone does after updating their probabilities could possibly help them prepare meaningfully.

    He’s the most hilarious kind of wrong.


  • Ah, if only the world wasn’t so full of “stupid people” updating their bayesians based off things they see on the news, because you should already be worried of and calculating your distributions for… inhales deeply terrorist nuclear attacks, mass shootings, lab leaks, famine, natural disasters, murder, sexual harassment, conmen, decay of society, copyright, taxes, spitting into the wind, your genealogy results, comets hitting the earth, UFOs, politics of any and every kind, and tripping on your shoe laces.

    What… insight did any of this provide? Seriously. Analytical statistics is a mathematically consistent means of being technically not wrong, while using a lot of words, in order to disagree on feelings, and yet saying nothing.

    Risk management is not a statistical question in fact. It’s an economics question of your opportunities. It’s why prepping is better seen as a hobby, a coping mechanism and not as viable means of surviving apocalypse. It’s why even when a EA uses their super powers of bayesian rationality the answer in the magic eight ball is always just “try to make money, stupid”.


  • In practice, alignment means “control”.

    And the the existential panic is realizing that control doesn’t scale. So rather than admit that goal “alignment” doesn’t mean what they think it is, rather than admit that darwinian evolution is useful but incomplete and cannot sufficiently explain all phenomena both at the macro and micro levels, rather than possibly consider that intelligence is abundant in systems all around us and we’re constantly in tenuous relationships at the edge of uncertainty with all of it,

    it’s the end of all meaning aka the robot overlord.



  • Adversarial attacks on training data for LLMs is in fact a real issue. You can very very effectively punch up with regards to the proportion of effect on trained system with even small samples of carefully crafter adversarial inputs. There are things that can counter act this, but all of those things increase costs, and LLMs are very sensitive to economics.

    Think of it this way. One, reason why humans don’t just learn everything is because we spend as much time filtering and refocusing our attention in order to preserve our sense of self in the face of adversarial inputs. It’s not perfect, again it changes economics, and at some point being wrong but consistent with our environment is still more important.

    I have no skepticism that LLMs learn or understand. They do. But crucially, like everything else we know of, they are in a critically dependent, asymmetrical relationship with their environment. The environment of their existence being our digital waste, so long as that waste contains the correct shapes.

    Long term I see regulation plus new economic realities wrt to digital data, not just to be nice or ethical, but because it’s the only way future systems can reach reliable and economical online learning. Maybe the right things happen for the wrong reasons.

    It’s funny to me just how much AI ends up demonstrating non equilibrium ecology at scale. Maybe we’ll have that self introspective moment and see our own relationship with our ecosystems reflect back on us. Or maybe we’ll ignore that and focus on reductive world views again.


  • And indeed, the other crucial piece is that… apologizing isn’t a protocol with an expected reward function. I can just, not accept your apology. I can just, feel or “update my priors” howmever I like.

    We apologize and care about these things because of shame. Which we have to regulate, in part through our actions and perspectives.

    Why people feel the way they do and act the way do makes total sense when one finally confronts your own vulnerabilities sorry, builds an API and RL framework.



  • Talk a lot about white culture, and only scarcely mention that he thinks white culture is a product of genetics.

    I remember in the early days of the “culture wars” as far as political agendas going, hearing about “white/ethno-european pride,” and being naively curious, I actually tried to engage these people on the topics of European culture and history, and found exactly zero engagement on these topics. Just politics abusing people’s confusion of heritage with people’s internal shame and lack of identity.

    The paradox I’ve always found is that the more secure in your identity and heritage you are, the more happy you are to share, grow, and widen that. Maybe a hot take, but growing up in the south, alot of people there hide their personal internal shame and confusion in aggression and identity politics.