Anders Sandberg Profile picture
Jul 26, 2021 5 tweets 2 min read Read on X
Got the idea of using sentences from @qntm's "Fine Structure" qntm.org/structure as input to VQGAN+CLIP. "It's like billion-voice music. The cities here are woven from constantly singing superstrings." Image
"A skyscraper whose ground floor is a human being but every other floor is filled with oozing alien organs and weird multidimensional sensors and wriggling feely things scraping against the metaphorical glass." Image
"'Oul' is the closest approximation in human language of the name of a cosmic eighty-plus-six-dimensional hyperweapon which fell out of the control of its creators." Image
"An automated network of space stations distributed over an oblate hemihyperspheroid of 4-space centred on Earth +1, eight light years in diameter and fourteen universes tall." Image
"There are pan-stellar civilisations. There are pan-universal civilisations. There are uplifted humanities crawling up the pillars of the Structure towards Upsilon layer, for whom Multiverse One was just the cradle." Image

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More from @anderssandberg

Feb 27
At a AI safety workshop 2011 we considered who we would trust most with AGI, and had the awkward realization "Military and intelligence actually think about security and safety, unlike us academics, companies and politicians." What we missed was political leadership of military.
The problem with the Hegseth situation is that it seems to be more about getting the right kind of obeisance than thinking about what the tech actually is about. It also hints that the leadership does not care overly about crucial constitutional, legal and ethical red lines.
I am profoundly civilian. Yet professional military people I have met have always struck me as having their head screwed on right in regard to dangerous weapons, tools that can turn on them, and the need for clear chains of command that cannot be suborned.
Read 10 tweets
Nov 22, 2025
OK, color me officially impressed: Nano Banana Pro can make good diagrams based on papers. This one can go straight into my presentations. Image
If we want to really quibble, the doubled labels are a bit infelicitous. The arrows from the sun to elements and replicator factories are unlabeled; presumably they indicate energy flow. But I just asked for a diagram showing the process in the paper, nothing more.
It succeeded much better when there was a straightforward process to be depicted; graphical abstracts were somewhat handwavy and missed the points made. Image
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Read 6 tweets
Jun 27, 2025
Yesterday at @archipelacon I presented "Grand Futures: the Interplay Between Science Fiction and Planning Really Far Ahead" - how the science and science fiction of megascale engineering and longtermism have interacted with each other. Image
I ended up making a big diagram of who seems to have influenced who/what. Here is a current version (soon to be superseded) as PDF: tinyurl.com/megascalemapImage
It made me feel mildly like a conspiracy theorist linking stuff with yarn, but this is how the history of ideas actually works: smart people read each other, and respond to their cultural milleu. The challenge is to find the cool places where people have *not* interacted. Image
Read 9 tweets
Jun 8, 2025
I think exposure to generative AI makes many people aware of the Library of Babel in a way they are not ready for. It is one thing to know there is a near-infinite space of possibilities, it is another thing to play around and be led by the latent manifold into the Library. Image
The thing that makes Borge's story so good is how it erodes meaning by infinity: everything is in there, yet nothing can be found in the noise. AI allows nearly anything to be found, but we become aware that it could have been different. Image
I meet people who think that getting different answers from a LLM to the same question is profoundly wrong: they assume there can only be one response to the same question. And sure, for some questions the spread of right answers is narrow. Image
Read 15 tweets
Dec 21, 2024
Prediction: people will say o3 scoring 25.2% on FrontierMath is nothing, "after all it is not perfect." Conveniently forgetting that these problems are ridiculously hard (did 87.7% on GPQA Diamond). And some will keep on talking about stochastic parrots... like parrots. Image
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The key lesson from LLMs has been that sufficiently capable token prediction can more or less do anything, and simulated reasoning allows it to carry further. A bit like how higher level pattern generators can make already general biological neural networks do useful tasks.
Read 9 tweets
Oct 31, 2024
The recent discussion triggered by @tylercowen about what investment strategies AI doomers ought to exhibit (he thinks they should short the market, everybody else disagrees) got me thinking about my own investment approach.
It is mostly based on uncertainty. Empirically we know people are pretty bad at long-term predictions.
I also suspect I am a bit of a naïf. But here goes:
My approach to the future is to roughly assume 1/3 chance of a great future (AI, transhumanist singularity), 1/3 chance of a normal future (what most people consider reasonable), and 1/3 chance of a disastrous future. It makes sense to hedge between these futures.
Read 18 tweets

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