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Viewing profile — ollin

ollin

HN member
Joined
Thu, Feb 23, 2017, 3:12 AM UTC
HN karma
695
Public activity
94 items

About ollin

Independent researcher working on real-time on-device generative models. Made sdxl-vae-fp16-fix, TAESD/TAEHV, pokemon-emulation-via-dnn.

https://madebyoll.in https://www.neuralworlds.net

Recent public activity

  1. comment
    Comment #49136548

    This paper shows a nice integration of older winner-take-all ideas for learning K-modal generative models (see e.g. https://arxiv.org/abs/1612.00197 , https://arxiv.org/abs/2211.14…

  2. comment
    Comment #49001737

    The ExploitGym paper evaluated several frontier models on the bench and reported that "Different models find different exploits" [1], so it seems most plausible that the "test solu…

  3. comment
    Comment #48999659

    If the HuggingFace repo the agent broke into contains reference solution scripts for ExploitGym (i.e. for exploiting the vulnerabilities in the intended way), the agent can then ru…

  4. comment
    Comment #48951545

    This article seems fairly uninformative since, as others have pointed out, there's no visualization or comparison of the full emoji set and no link to see it. They just show a few …

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    Comment #48249160

    Yeah, that part should not be read literally; `x.cos().cos()` and `x1 = x.cos(); x2 = x1.cos()` both launch the same number of kernels (two in unfused/eager mode, one in fused/torc…

  7. comment
    Comment #48249021

    This post is a classic! Also recommended: Horace also gave a related talk (covering the high-level picture of modern ML Systems) at Jane Street in Dec 2024 https://www.youtube.com/…

  8. comment
    Comment #48248153

    Feet of Clay is one of my favorites in the series! It's surprising how literally the Discworld version of Golems corresponds to modern LLMs (and perhaps upcoming LLM-backed humanoi…

  9. comment
    Comment #48196190

    Specifically it looks like he's planning to extend the ideas from https://github.com/karpathy/autoresearch into a larger effort towards recursive training improvement [1]: > Excite…

  10. comment
    Comment #48187273

    This is cute and retro! But I think training only on GoldenEye undersells the concept a bit, since their world model inherits the N64-era graphics from GoldenEye, which automatical…

  11. comment
    Comment #48161744

    Right now there is (AFAIK) no world model product booking any meaningful revenue. So there's a decent chance WMs turn out to have no long-term utility at all. However, there are a …

  12. comment
    Comment #48154313

    This is a HW4 Tesla on FSD 14.3.2 trying to drive into a lake five days ago (a la The Office): https://www.reddit.com/r/TeslaFSD/comments/1t9rl2u/fsd_tried... , so I would not say …

  13. story
  14. comment
    Comment #47998595

    Most ONNX files are fp32, but the ONNX format actually allows fp16, int8, etc. as well (see onnx.proto for the full list of dtypes [1] - they even have fp8/fp4 these days!). I ende…

  15. comment
    Comment #47987628

    The source here is "CAISI Evaluation of DeepSeek V4 Pro" [1]; the US NIST ran their own benchmarks (including several internal ones) and reported the following table: | Domain | Be…

  16. comment
    Comment #47982051

    Hank Green has a video walking through how to use the timeline here https://www.youtube.com/watch?v=LyZE9VWJjDA . For me, the best experience was to click "Crew Photos Only" and th…

  17. comment
    Comment #47957862

    For context, two days ago some users [1] discovered this sentence reiterated throughout the codex 5.5 system prompt [2]: > Never talk about goblins, gremlins, raccoons, trolls, ogr…

  18. comment
    Comment #47938059

    AFAIK Anthropic hasn't built any image or video generation tools yet, just text/code generation. OpenAI/Google/xAI all built image/video generation teams though so it may only be a…

  19. comment
    Comment #47680899

    - The OpenBSD one is 'TCP packets with invalid SACK options could crash the kernel' https://cdn.openbsd.org/pub/OpenBSD/patches/7.8/common/025_s... - One (patched) Linux kernel bug…

  20. comment
    Comment #47680158

    My impression was entirely the opposite; the unsolved subset of SWE-bench verified problems are memorizable (solutions are pulled from public GitHub repos) and the evaluators are o…

  21. comment
    Comment #47330496

    Here was the developer thread https://developer.apple.com/forums/thread/818403 I found with lots of other reports of "Unable to Verify App - An internet connection is required to v…

  22. comment
    Comment #47146795

    The still photo (with 富士康科技 photoshopped out) is the second image of the "In Houston, workers assemble advanced AI servers" photo carousel https://www.apple.com/newsroom/images/202…

  23. comment
    Comment #46826014

    A lot of people mentioned this! The "dreamlike" comparison is common as well. In both cases, you have a network of neurons rendering an image approximating the real world :) so it …

  24. comment
    Comment #46818196

    On a technical level, this looks like the same diffusion transformer world model design that was shown in the Genie 3 post (text/memory/d-pad input, video output, 60sec max context…

  25. comment
    Comment #46815779

    Yup, similar concepts! Just at two opposite extremes of the compute/scaling spectrum. - That forest trail world is ~5 million parameters, trained on 15 minutes of video, scoped to …