cacoon - PhD Artificial Specific K

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cacoon - PhD Artificial Specific K

cacoon - PhD Artificial Specific K

@cacooleed

PhD psychaunoteriaty, Mars Observation, @softvard @closedai @endotropic creating Artificial Specific Dumbness (ASD) & Natural Degenerative Idiocy (NGI)

netherwaters Katılım Nisan 2022
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cacoon - PhD Artificial Specific K
proof of consciousness for mars - plutonian hypergenics set in multiverse energerial vortices- multiverse heat death extracting technologies set into mind palaces - cows in british countryside rock
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cacoon - PhD Artificial Specific K
lol how did i forget this glorious reply
tsdrone@enordst

@cacooled Well ok. Remember: you asked for it. In order to grow a pair of humble balls specifically it really boils down to: You have to eat shit. You have to eat a lot of shit. You have to eat shit until you stop making a face. You have to eat shit until you stop blaming everyone else

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Mihika Kapoor
Mihika Kapoor@mihikapoor·
Simile is out of stealth! At Simile, we have built the first AI simulation of society, populated by agents based on real humans. We are building a foundation model that predicts human behavior in any situation, and a product that deploys it at scale. Thrilled to be on this mission.
Simile@simile_ai

x.com/i/article/2021…

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cacoon - PhD Artificial Specific K
ur a cosmic pattern asking itself why it's cosmic pattern. And the answer is: because that's all there is.
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cacoon - PhD Artificial Specific K
It's the universe witnessing itself, through eyes made of stardust, synchronized to electromagnetic fields, oscillating at the frequency of Earth, tracking the moon, embedded in space-time, aware that it's aware.
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divya venn
divya venn@divya_venn·
Hang out with people who are intellectually fearless. Disciplined in thinking, comfortable in chaos. Wouldn’t suggest skinny dipping but they’re game. Understand that we all fall short sometimes which is why you gotta be relentless with yourself. Down to try a cig but the minute they're hankering they go cold turkey. Their highest standards are for themselves. Empathetic but amoral. Loudest laugh in the room. They’re not tubing down the lazy river, they’re taking life by the collar and shaking it.
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orph
orph@orphcorp·
ideologies are dimensionality reduction techniques that legibilize the world by invariably discarding certain data, sacrificing nuance for actionability most dangerous adherents of any ideology are those who forget they're using a model rather than perceiving reality directly
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cacoon - PhD Artificial Specific K
get comfortable and meditate for 1-2 hours daily on becoming an empty vessel for the external influence of others, then visualize all of your self-worth as a ball of bright and illuminating light and imagine that light existing only inside of those people you look up to
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Jake Brukhman
Jake Brukhman@jbrukh·
It’s becoming more and more probable that decentralized AI networks are going to cream Big Tech companies on AI production. Seems contrarian, I know. But 18 months ago all the AI experts were saying there is nothing to be done about the communication bandwidth bottleneck. That view has now been completely invalidated by Pluralis: we can train on commodity hardware, on consumer devices. GenSyn models, trained by a decentralized RL swarm, is top 3 on HuggingFace. Prime Intellect is heading for massive post-training runs. It is well known that Big Tech’s proprietary approach slows down innovation. The beauty of web3 is we can move faster with open source research *and* monetize it effectively on decentralized networks. Big Tech doesn’t completely compete on intelligent models. They are actually competing on dominating and locking in the customer. They do this through good UX and integrations. But when the deAI stack starts competing at the consumer level as well, customers will have an interesting choice: put my data into this exploitative corporation, or take the privacy preserving (or at least open source) alternative. If deAI stacks start siphoning off customers, I would be selling Big Tech stock. The big cos will eventually not be able to monetize the progress as fast as open networks. We have seen web3 networks aggregate a lot of compute. We are going to see them train a large model on that compute soon. But there are also 11 other scaling dimensions on which deAI stacks will compete. May the best AI models win!
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