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Schrodinger's Idiot, living the hype, pivoting.

Joined October 2023
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this but for AI
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I fucking hate this Friday morning commute
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larp stage capitalism
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coming out of retardation
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every single person trying to sell you 2000 PRs per month is lying to you.
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added retries to the pipeline and now it fails five times instead of one
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Anthropic employees
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you seek more intelligence, Arjuna, when what you lack is clarity
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Replying to @ravishar313
https://teapaw.org/t.co/uGJPSiedlc random elon motivation
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Our portfolio company @NousResearch is hiring! → Forward Deployed Engineer → Machine Learning Engineer, Evals → Product Analytics Engineer → Security Engineer → Software Engineer, GUI/Product → Software Engineer, Hermes Cloud → UI/UX Designer Apply here: nousresearch.com/careers
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in a parallel world, karpathy has posted about how amazing kimi k3 is and how he is excited about using it to build banger writer/storyteller models for eureka.
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this is the bad ending but one that’s reasonably likely to occur for current trajectory. just like one shouldn’t cut down all trees, consume all fossils and any other resources at once for gains - we should avoid improving AI in a way that it makes us immediately obsolete.
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transcribed notes on taste: If you want taste, you're gonna have to eat. I think now, as AI has allowed more and more people to create things, the biggest differentiation, the biggest skill people are lacking, is taste itself. What does that mean, right? Taste is a little bit of aesthetic judgment, knowing what's beautiful. But I think taste is really your ability to model out what people will like. And a lot of that requires you to not just consume, right? Like if you want to be a good chef, you have to eat at people's restaurants. You can't just look at the menu. It's curation versus consumption. And with AI there's so much more volume of work now, so it's really easy to regress to the mean. In which case it's not really taste. Taste is a kind of risk-taking. You're choosing to deviate from the safe average. There's this story about Kobori Enshū, the tea master who came after Rikyū. A student told him, your taste must be even better than Rikyū's, because everything you collect, everyone agrees is beautiful. Rikyū's collection, only Rikyū could appreciate. And Enshū said no, that's exactly why I'm the lesser man. I was just picking what most people would like. Rikyū had the courage to love things only he could see. I felt this in art school. My taste exceeded my ability. I could see what good work looked like, I just couldn't make it yet, and I didn't have the words to describe what was going on. Now AI flips that. Ability is basically free, so for most people, ability exceeds taste. You can make anything, and you don't know what's worth making. Walter Benjamin talked about mechanical reproduction stripping the aura from art. I think AI does something worse. It gives you the destination without the hours of noticing that used to get you there. In music, transcribing a solo forces you to listen deeply, right? You sit there rewinding the same four bars over and over. AI can just give you the chart. But it gives you the chart, not the ear. So AI doesn't just strip the aura from art, it strips the aura from learning. The felt distance that made a skill feel earned. This has been true for how I learned pottery, right? I can't mechanistically learn pottery. I just have to feel and listen to my intuition. You know, there are video games that don't allow minimaps, because the designers felt that by having waypoints, players would just walk from one area to another and not really notice where anything is. And we don't really wander down streets anymore. We take Ubers that take us there directly. We used to learn places by wandering. Now we follow the blue line. So if AI shifts the bottleneck from making to noticing, then apprenticeship has to be reinvented around attention. Taste grows with attention. If the tools remove the attention, you have to put it back.
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Sometimes I leave out context and just sit and watch the agents struggle. Reminds them who's still in charge.
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it’s simple, really
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this is an interesting point in the new ted chiang piece – no one really claims that alphafold is conscious, or that sora or midjourney or dall-e are conscious
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dark have been my dreams of late
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After AlphaGo, the skill of human Go players noticeably improved. I suspect we will see a similar pattern in math.
Another major problem, this time in additive combinatorics, has fallen, this time to humans rather than AI, but using methods related to the AI solution to the unit distance conjecture.
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