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anima-core

HN member
Joined
Wed, Dec 10, 2025, 1:20 AM UTC
HN karma
39
Public activity
32 items

About anima-core

Independent researcher working on transformer-decoupled inference and symbolic compute. Author of AN1-Core and the Meaning Field approach. Outsider to academia, building and testing ideas in the open.

Recent public activity

  1. comment
    Comment #47270965

    https://www.linkedin.com/posts/ryanshamim_deeptechpioneers-h...

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    Comment #46374900

    We keep spending enormous effort making transformers run faster. Quantization. Pruning. Speculative decoding. Better kernels. Better hardware. All of that assumes the same thing: t…

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    Comment #46362045

    This paper introduces a minimal benchmark for testing whether an RL agent can learn a permanent safety constraint from a single catastrophic event. The protocol uses standard MiniG…

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    Comment #46311372

    This is a short position paper that asks a narrow systems question: what changes if large transformers are removed from the runtime inference loop entirely? The paper introduces Se…

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    Comment #46252464

    Haha, fair play, sir. If anything induces altered states around here, it’s probably late-night debugging rather than substances. I'm here to talk experiments, code, and results. Im…

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    Comment #46252413

    I appreciate this take. I largely agree with the framing, and I think this is closer to the intended reading than some of the more heated responses in the thread. (I'm understandin…

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    Comment #46252291

    I can see you've put real thought into your critique, and while I definitely disagree with several conclusions, I appreciate the seriousness of the discussion. Hopefully this is a …

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    Comment #46220679

    I appreciate this framing a lot. It is actually close to how I think about the result internally. The paper focuses on the geometric behavior of intermediate representations, and c…

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    Comment #46220638

    What are you a psychiatrist?

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    Comment #46220584

    Thank you for the thoughtful comments. Really. This is actually the most constructive feedback in the thread so far. A few clarifications. 1. On the LaTeX citations and figure refe…

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    Comment #46220446

    A few clarifications, since most of the points here come from asking LLMs to summarize the repo rather than running the code directly. 1. The teacher only runs during field extract…

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    Comment #46220382

    That's not how the method works... The full transformer is only needed once to extract the activation fields. That step can even be done offline. Then the teacher can be discarded …

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    Comment #46220286

    When someone shifts from engaging with the actual results to attacking the person, it usually tells you more about their internal state than about the work itself. I'm glad I have …

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    Comment #46220256

    Oh, so you didnt run the repo and remembered something that you read once that looked like it matched. This contribution is meaningless. The simplest way to resolve any doubt is to…

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    Comment #46220205

    The substack isnt what was supposed to be evaluated, it was the repo. That's creative writing and the repo is sciencetific. Two different things. One has nothing to do with the oth…

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    Comment #46220063

    That limitation is already accounted for in how the title is meant to be read. The 224× compression result is specifically about the structure of intermediate activations on classi…

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    Comment #46220029

    I guess my "vibe" is just better than your coding :)... Let me explain a few things, if you will. A few clarifications so the discussion stays aligned with what the experiment is a…