The Moral Character of Cryptographic Work (Rogaway, 2015) web.cs.ucdavis.edu/~rogaway/paper
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suzuha 
@dystopiabreaker
letβs try to push towards a better long-term outcome. cypherpunk interested in privacy tech, zk, AI
Joined August 2021
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viral gain of function research has the same vibe as supercriticality experiments of the late 40s/50s
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china: sends 1 balloon, it gets detected relatively quickly and gets circled by C-130s
US: already has 3000+ autonomous low earth orbit vehicles
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starlinkchad vs ballooncel
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starlinkchad vs ballooncel
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civilian spy balloon radio astronomy
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cheaper, quieter, closer, and more controllable
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i donβt understand why they would do this. surely they have at least KH-11 capability as a great power right?
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BREAKING 
: The pentagon has confirmed that the unknown object over Montana yesterday was a Chinese spy balloon
: The pentagon has confirmed that the unknown object over Montana yesterday was a Chinese spy balloonShow this thread
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many such cases
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iβm convinced βaphantasiaβ is largely an artifact of the insufficiency of language to describe qualia
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this is much further along than i thought
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Replying to @dystopiabreaker
one time in college they reclassified 3d printers as weapons in the middle of a semester and then armed cops came to my dorm full of engineering students, stole our printers we were making mini wind turbines with, and accused us of arms dealing
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i.e., theyβre individually empowering rather than institutionally empowering, which makes certain types of technocrats nervous
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3d printers are different than other machinist tools in that they are far cheaper and far more generally useful
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Replying to @dystopiabreaker
You'd have to do the same for any other machinist tool too then.
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i wonder if there will be attempts to prohibit (or βcontrolβ/license) 3d printers
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itβs foolish because adopting wrong understandings prevents you from making any accurate predictions about the future of those technologies. which is bad if you want to change how they work, accelerate them, or do pretty much anything else
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generative AI isnβt βcollagingβ
defi doesnβt have the same βtrust me broβ properties as tradfi
PV and batteries donβt have the same manufacturing infra and ecosystem impact as fossil fuels
sometimes new tech is actually new, ignoring this is just foolish
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for example, by lawyers suing generative AI companies
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this research is cool but I think the way itβs being communicated will be broadly misinterpreted
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if diffusion models were actually producing perfect copies of all their training data, they would be a complete revolution in compression, able to reduce TB datasets to single gigabytes.
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the researchers extracted 109 images from stable diffusion and 23 from imagen, using a computationally expensive iterative process designed specifically to locate these βfixed pointsβ. as a percentage, that is 0.00000218% of the data in the dataset for SD (laion-5B).
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Models such as Stable Diffusion are trained on copyrighted, trademarked, private, and sensitive images.
Yet, our new paper shows that diffusion models memorize images from their training data and emit them at generation time.
Paper: arxiv.org/abs/2301.13188
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the machine god cannot fathom the complexity of the mighty shrimp
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hobby tunnelers rejoice
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This is amazing. You can buy a tunnel boring machine for the price of a BMW on Ali Express. Free shipping too
H/t @ScootFoundation m.aliexpress.com/item/100500399
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βfree marketβ rightists when someone freely markets something they donβt like
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itβs a very healthy community when the reaction from OGs to someone trying something slightly innovative is βhow can we block this spamβ
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βextremely accurate human hand with exactly the right number of fingersβ
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the other funny thing about this is that Bitcoin desperately needs blockspace demand to be sustainable
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bitcoin has had an anti-builder culture metastasize over the last 4 years. it sucks and i genuinely hope it changes
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Inscriptions are finally ready for Bitcoin mainnet.
Inscriptions are like NFTs, but are true digital artifacts: decentralized, immutable, always on-chain, and native to Bitcoin. 
rodarmor.com/blog/inscribin
rodarmor.com/blog/inscribinShow this thread
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itβs a very healthy community when the reaction from OGs to someone trying something slightly innovative is βhow can we block this spamβ
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seize the means of production (buy one entire means of production for $400 and put it in your house)
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3d printing is so good and cheap now
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while you studied the transistor, i studied the crispr shrimp
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shrimp farm neural network powered loitering drone munitions
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itβs safe when it secretly benefits a small group of elite companies and individuals. itβs unsafe when itβs open access and in the commons
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Replying to @gfodor and @OpenAI
Privately sell it to commercial customers without creating buzz or excitement. If they insist on exhibiting any capabilities beyond SOTA at all, do it with minimum fuss. Publish no models, no papers, and no source code. Change their name away from OpenAI.
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this is awesome, but unfortunately since it was developed at google iβll probably never be able to experiment with it, for βsafetyβ twitter.com/hojonathanho/sβ¦
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a disturbing thing about all these new ai things is that they all require that your usage of them be subject to omniscient and omnipresent surveillance by their purveyors (OpenAI, google) for βsafetyβ
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googleβs behavior here is so vulgar, unbelievable that they have the audacity to train this model on the commons and then moralize the public about its usage, and use that moralization as an excuse to keep the tooling secret for their own private gain
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AI safety is when you enclose the commons, horde your ML tooling and weights for your own corporate advantage, and lobby congress to crack down on open source AI tooling
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Google dropped their music language model paper today "MusicLM"
Describe the music you want with a text prompt, even whistle a melody to further shape the output but 
they decided not to release it
ACCESS TO CREATIVE CULTURE SHOULD BE FREE TO ALL 
google-research.github.io/seanet/musiclm
they decided not to release it
ACCESS TO CREATIVE CULTURE SHOULD BE FREE TO ALL google-research.github.io/seanet/musiclmShow this thread
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what are the best deep learning upscaling tools/techniques currently available? iβm guessing itβs diffusion, but what tools allow you to use diffusion in this way ?
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