darren

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darren

@darrenangle

language modeler

☯️ 🇺🇲 views mine Katılım Ağustos 2009
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darren
darren@darrenangle·
"everything is going to be ok"
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Daniel Litt
Daniel Litt@littmath·
I regret that comment, which was less polite than I aim to be on here. Let me try to write something a bit more substantial. I don't think "discover all math that can possibly be discovered" is really coherent. Even if one conceptualizes mathematics as "answering well-posed open problems," historically resolutions to such have tended to raise more questions--I would argue that there are now more interesting open questions than there have been at any time in the past, despite (in fact because of!) the fact that there are more mathematicians than ever, resolving more problems than ever. At any fixed capability level I think it is likely we will see lots of problems remain open, including many basic open problems we know about at present. It's much easier to pose an interesting question than to answer one; it seems to me that the difficulty of interesting questions we can generate is basically unbounded. But also mathematics consists of much more than this--less verifiable tasks include things like "understand such-and-such an object," or "find a cool phenomenon," or "develop a theory," though such tasks are often benchmarked by their impact on problem-solving. I think AI will eventually (perhaps soon) be able to do these kinds of things but the idea that it will exhaust the supply of math, or that we won't want to develop human capital to understand some portion of what is discovered, seems to rely on an understanding of math and our motivations for working on it that is, at least, alien to me.
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darren
darren@darrenangle·
@noahlt gemini fixes this (always lying lol)
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Noah Tye
Noah Tye@noahlt·
Fun when I get hallucinations from LLMs these days. Feels like hitting the edge of the map, exploring, relying on myself.
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Mattie Fairchild
Is anyone actually still using Obsidian?
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Yohei
Yohei@yoheinakajima·
babyagi has ~200 citations, but 0 papers... i just published my first paper on arXiv 😆 "The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems" arxiv.org/abs/2605.21997 the case for agents that coordinate through persistent replayable state — no conversation loops, no workflows, no A2A — with auditability, forking, and causal lineage built in. check it out and let me know what you think!
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Yohei@yoheinakajima

i'm excited to open source Active Graph: an event-sourced reactive graph runtime for long-running, agents 🔄🧠 events/logs projects a graph. reactive behaviors react and affect the graph. fork-and-diff agent runs. no A2A, no workflows, no DAG site: activegraph.ai docs: docs.activegraph.ai github: github.com/yoheinakajima/… quick start: pip install activegraph this is an early experiment in a new paradigm for agent architecture 🧪

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darren
darren@darrenangle·
chesky is wrong about not needing managers, even for tokenmaxxed creator / orchestrator teams. people's ai's are not going to transmute the emotions that arise when working with others. individualized, frictionless affirmation is extremely costly in social environments
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darren
darren@darrenangle·
me and codex about to set a /goal
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darren
darren@darrenangle·
ai writing is like saying to someone, i expect your soul to change, but i'm not willing to take any time at all to change mine. more life for me, less for you. it's violent in this way. it wastes time. it's repulsive
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darren
darren@darrenangle·
i think there are categories of code that fit the bill, like brilliant optimizations. we can put more life in the space we gained, more time not dealing with bullshit, more time to live. the bar for this is much lower. even shit ai code is fine if it works. bc i get more time.
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darren
darren@darrenangle·
there is an implicit pact between a writer and a reader, because both of you will eventually be dead. the writing says, here's what I went through and thought about in my fast-expiring life. maybe you can relate, maybe your soul moves like mine. not so with (most) code.
rahul@0interestrates

why do people (including me) have an aversion to AI writing but not as much to AI code? if a piece of text smells AI i stop reading it but i use things coded entirely with AI every day

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