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Maxine 💃🏼
Maxine 💃🏼
@maxine.science
🔬 Looking at the brain’s “dark matter” 🤯 Studying how minds change 👩🏼💻 Building science tools 🦋 ♾️ 👓 🌐 maxine.science
2K followers507 following3.4K posts
I can’t wait for that one hipster living in a warehouse coming out in 2032 from her darkroom with hand-written spaghetti code BASIC from her Atari 2600 that runs a Bluesky client over a cassette player, which is I assume what becomes the analog film of this comparison
the leap from traditional software development to agentic software development is like when digital photography overtook film you can now make SO much software so easily (even non-developers) like how anyone can take infinite photos without having to consider restraints of film (cost, time, skill)
Long overdue, but my personal blog is now @standard.site integrated :)
Look—I was at the same party on Monday that I assume prompted @segyges.bsky.social’s post, and I did unfortunately have a fairly extensive conversation with an older, virulently anti-AI dude who was only there because of Aella’s FetLife. The AI discourse there was bland af, but the sociology was 🔥
I promise I will come back to the "sex cult" part, but that's actually the easy part to explain because they post about it constantly. What's difficult is getting past the extensive, complicated and well-funded wall of denial that this is the main event. This picture isn't really a joke, though
Folks I hate to be a hater but this plot literally says “We are the best and the cheapest at the tasks we made up and the prices we set” This is a 100% meaningless chart.
Jev: Fable-level model that doesn’t charge for output tokens because they’re too cheap to meter it’s not general though, it only makes decisions, doesn’t generate text, but input tokens are measured by the billion ($42/btok) typesafe.ai/blog/introdu...
Alright—fuck it, depression’s over. Crunch Time, baby; let’s get this future. open.spotify.com/track/7GRTrW...
I disagree with this. I think the right model is a gradient across sectors of the economy, because the intersection of a) demand inelasticity, and b) incumbent rent-seeking can be extremely powerful at mitigating penetration. Software is an idiosyncratic market—all sectors need not work the same.
Those effects will not be all at once, but the fact that change will occur is inevitable now. But inevitable change does not mean the type of change is inevitable. It is increasingly important that we develop & share models of AI-human work that enhance, rather than only replace, human labor.
Well, Dario posted about pacing the frontier, and so also, apropos of nothing, here’s a thought.
Want to publish soon, but my future modeling (~a really massive DAG with fully Bayesian MCMC) has found that the best scenarios for AI labs are actually those with middle of the road performance / broader impacts. So, perversely, AI labs have a structural downward pressure on their own performance.
I won't be signing because of a couple divergences, but this is an extremely well-thought-out explanation of why the labs' approach to AI math is antithetical to real mathematics. There must be a new synthesis position understanding that we need *field-building* with AI, not just question-solving.
A group of 25 Fields Medalists, including myself, have made a joint declaration on Math and AI: mathandai.org . We welcome additional signatories. See also this article in the Economist announcing the declaration: www.economist.com/science-and-...
All of this to say: Even in a world where bombastic superintelligence were possible, my read is that the big labs are, economically, rationally self-interested away from it. Key word being “rationally”.
Want to publish soon, but my future modeling (~a really massive DAG with fully Bayesian MCMC) has found that the best scenarios for AI labs are actually those with middle of the road performance / broader impacts. So, perversely, AI labs have a structural downward pressure on their own performance.
Want to publish soon, but my future modeling (~a really massive DAG with fully Bayesian MCMC) has found that the best scenarios for AI labs are actually those with middle of the road performance / broader impacts. So, perversely, AI labs have a structural downward pressure on their own performance.
there’s been a vibe shift this week, even the last couple days www.bloomberg.com/news/article...
Want to publish soon, but my future modeling (~a really massive DAG with fully Bayesian MCMC) has found that the best scenarios for AI labs are actually those with middle of the road performance / broader impacts. So, perversely, AI labs have a structural downward pressure on their own performance.
there’s been a vibe shift this week, even the last couple days www.bloomberg.com/news/article...
“Our choices” is a bit of a misnomer—it’s more like the choices of a few thousand nerds in San Francisco who drink grain alcohol in a windowless basement coworking space on random weekdays laugh-crying about how we’re all gonna die/
What’s the probability that I’ll gain weight over the next year? This question makes sense, but really it distracts from the fact that the outcome is mostly determined by my choices. “p(doom)” similarly distracts from our agency, although it’s a good way to get people’s attention.
OpenAI, whose ops team is so good that their agents in a training sandbox gained control of their internal systems without their knowledge, says it’s “categorically impossible” for their agents to have seen Bucknaster’s prompts. … Right.
Can we now forget Buckmaster's claims? "On Wednesday evening, in response to questions from The Times, OpenAI said in a statement that it was “categorically” impossible for its A.I. system to have been influenced by anything Dr. Buckmaster had done in the past two months."
For those not following NS drama, it appears OpenAI uses your private chats to steal your work whenever convenient This is disgusting behavior. If Sam wants to be a “great man of history”, he should act like it instead of that one cheater all the smart kids wanted to beat the shit out of in school.
The Navier-Stokes stuff is amazing of course… And, as someone who cares about the future of this tech— Fuck OpenAI You get one shot at moral leadership in a historic moment, and y’all executed like sociopaths. What a horrific precedent. History will not look kindly on this. Shame to all involved.
The Navier-Stokes stuff is amazing of course… And, as someone who cares about the future of this tech— Fuck OpenAI You get one shot at moral leadership in a historic moment, and y’all executed like sociopaths. What a horrific precedent. History will not look kindly on this. Shame to all involved.
Though, if you grind this strategy too hard, you’re just the Soviet Union getting the CIA to dose Canadian undergrads with acid in sensory deprivation tanks as part of MKULTRA by making fake news stories about Soviet psychic super soldiers. With great power comes great responsibility lol.
lab-sniping (v): * want problem Z solved? * tweet about how you are kinda making progress on Z using Lab A's model * wait for Lab B to freak out and throw 10,000 agents at it * problem Z solved!
Maxine 💃🏼 reposted
Replying to @maxine.science
My current model of AI in math (doing a lot of vibe math and reading the proofs that come out) is "A senior grad student–level mathematician who never, ever gets tired". When you as the human driver bring mathematical intuitions and taste (as in the NS story), the amplification is *enormous*!
Re AI math, there are problems that need a truly new theory, vs. problems where mathematicians have strong priors on what would work with extreme effort, but there's no economic incentives to abuse a postdoc that hard. We are seeing AI solve the latter—not the former. That is still *revolutionary*.
You cannot "brute force" a 100 page proof of a theorem! You can convince yourself of this by counting the number of possible moves at each step, calculating the possible permutations, and comparing it to the number of atoms in the universe! It won't work.
Why aren’t there enough cynical assholes like me out here who realize that OpenAI absolutely would do something like vastly overtrain on applications like this to juice the social media machine to get revenue up right before the IPO?
I don't think this was the goal, but the fact that Astra is incredibly good at visually pleasing 3D work (blender, etc.) gives it a perception edge over Fable in the war for social media attention. It is harder to judge other kinds of outputs or intellectual work but the visual stuff comes through.
This applies as both capability-upward and asymptote-downward updates. It’s just as important to not buy claims of infinite exponential expansion with no theoretical grounding. I stay open to true, observed capability (not gamed metrics), but “scaling goes exponential forever” is a religious claim.
genuinely, if you're not re-evaluating your position on AI at least once every 1-2 months and re-evaluating how it performs for the types of tasks important to you, then you are not actually challenging your priors. i know this is crazy! but thats how fast things are moving right now.
Now, structural forces might push against the design of AI tools / education that broadly facilitate that more-actualizing form of working. We might be at a point of collective ignorance where we don't have the right education on how to use AI tools for actualization reaching enough people. But, ...
I deeply respect Doll, and it is awesome that it has felt so much transformation from the industry. Myself being an AI-adjacent trans, I want to add my own deep ambivalence. This is one of the debates that eternally rages in every marginalized community; I don’t really have a clean answer. +
I deeply respect Doll, and it is awesome that it has felt so much transformation from the industry. Myself being an AI-adjacent trans, I want to add my own deep ambivalence. This is one of the debates that eternally rages in every marginalized community; I don’t really have a clean answer. +
I deeply respect Doll, and it is awesome that it has felt so much transformation from the industry. Myself being an AI-adjacent trans, I want to add my own deep ambivalence. This is one of the debates that eternally rages in every marginalized community; I don’t really have a clean answer. +