Dzmitry Pletnikau
1.4K posts
Dzmitry Pletnikau
@spring_stream
Curious about how the world works.
Utah, USA Sumali Kasım 2007
620 Sinusundan293 Mga Tagasunod
I prefer the hammer to not talk back to me, but I found one instance where it's useful: switched to LLM agent for nutrition tracking and instructed it to praise or roast me depending on relation of the meal to target macros.
Monkey brain🤝anthropomorphized linear algebra
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@tensorfish @badlogicgames Also github.com/acarerdinc/pi-… is nice and simple. Though I ended up using my own matrix-bridge instead.
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@levelsio It sucks too, but differently. I’m switching back to tmux after two months of zellij
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Apparently the tmux that does NOT suck exists
It has an absolutely unpronounceable name and is called Zellij
I will try it now thanks everyone for recommending it 😊
zellij.dev/about/
GIF
@levelsio@levelsio
I hate tmux It's so incredibly user unfriendly The shortcuts make no sense I wish someone would make a better tmux Even just logging into tmux attaching the screen is an illogical hell to type Again I hate tmux, it's so shit
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@voooooogel Marimo has that built in, and more. Was a pleasant step up from Jupyter for me
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Dzmitry Pletnikau nag-retweet
first reaction: "because these models know how to simplify, not when to do it"
and then: "...someone has to TRAIN them to know this and... oh. what a great way to collect labeled data "
Nan Yu@thenanyu
I see things like /simplify and the existence of code review and bug finding AIs. I have to ask, why do these things exist? Why doesn't the coding agent just naturally do these things? I'm sure there's a good answer. Can someone help me understand?
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AI is pretty terrible at UI/UX but being precise will help you a lot. Get an anki-deck made from component.gallery so that you have a basic clue: static.dzmitry.net/s/bd3fdd2c7801….
Hyperboreality@hyperboreality
@itsandrewgao In 2026, "have a basic fucking clue what you are doing" is being presented as secret lore. What a time.
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@gwern @thkostolansky @binarybits Please point me at the research exploring how larger models become more sample efficient. I am interested in understanding that better, and intersection with ICL, SFT, post-training, and "circuits".
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Enjoyed this piece. It emphasizes the adversarial aspect, but this is also a good example of the value of tacit knowledge. To model Priya's behavior you have to interact with her over months and build a model of her behavior. Current LLMs don't have a mechanism to do this.
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@Cyber_Spock When I say “magical alignment breakthrough” I mean something for example that forever poisons pretraining pool making models incapable of certain capabilities - very “magical”.
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@spring_stream Doesn't work even with magical alignment because humans are not aligned. It's only stable in equilibrium without an eye of sauron. The many mordors model or something. Someone will build it so multipolarity is the only real solution
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Precise. Actionable. Measurable.
Eliezer Yudkowsky ⏹️@ESYudkowsky
There are nearly no good reasons for an AI to ever impersonate a human. Making that illegal in as many countries as possible, and improving state capacity to enforce it, would be a good trial balloon for human civilization's ability to ban negative uses of AI.
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@ch402 I and many I know take this view as the best model of LLM behavior. Your post implies you have only started taking it seriously recently. I am honestly curious what made you not adopt it in late 2022 when it went mainstream?
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I'm increasingly taking pretty strong versions of this view seriously.
Anthropic@AnthropicAI
AI assistants like Claude can seem shockingly human—expressing joy or distress, and using anthropomorphic language to describe themselves. Why? In a new post we describe a theory that explains why AIs act like humans: the persona selection model. anthropic.com/research/perso…
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@Cyber_Spock Good point. Non proliferation of certain capabilities requires either coordination or secrecy. Or some magical alignment breakthrough.
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@spring_stream He just has no ways to solve the game theoretic issues with any of his proposals other than "one world government." And fuck that noise
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fr. I am not only hoarding browser tabs now but active coding-agent sessions too.
Simon Willison@simonw
Reached the stage of parallel agent psychosis where I've lost a whole feature - I know I had it yesterday, but I can't seem to find the branch or worktree or cloud instance or checkout with it in
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I want to roll back to Claude Desktop app version before Claude started coding 100% of it, because current version is slower than my web browser with 400 open tabs
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Dzmitry Pletnikau nag-retweet
Sufficiently advanced agentic coding is essentially machine learning: the engineer sets up the optimization goal as well as some constraints on the search space (the spec and its tests), then an optimization process (coding agents) iterates until the goal is reached.
The result is a blackbox model (the generated codebase): an artifact that performs the task, that you deploy without ever inspecting its internal logic, just as we ignore individual weights in a neural network.
This implies that all classic issues encountered in ML will soon become problems for agentic coding: overfitting to the spec, Clever Hans shortcuts that don't generalize outside the tests, data leakage, concept drift, etc.
I would also ask: what will be the Keras of agentic coding? What will be the optimal set of high-level abstractions that allow humans to steer codebase 'training' with minimal cognitive overhead?
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I mean it's not a bearer asset like Bitcoin but the payments on lighting or tether just work. Obviously theoretically lacks some of the censorship resistance of on chain payments etc.
Straightforwardly I don't use stablecoins frequently but if I did this is probably how I would use them. Tether adoption globally is insanely high
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Planning to lift some friends&family from Venmo to self-custody stablecoin for everyday settlement, but all major wallet-apps now have gambling built-in and prominent on the main screen 😭
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