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bluecoconut

HN member
Joined
Mon, Dec 16, 2019, 3:15 AM UTC
HN karma
1,053
Public activity
96 items

About bluecoconut

Founder - Approximate Labs (https://www.approximatelabs.com/)

Physics background (condensed matter physics, ARPES), travel to Japan frequently, am super hyped about everything AI and Data related.

Recent public activity

  1. comment
    Comment #48675495

    Very cool! one subtle consistency bug that made it hard for me to interpret when I was clicking around: the small thumbnail plot vs the full plot often (always?) seem to use differ…

  2. comment
    Comment #48632122

    For those who like these types of puzzles, i made a benchmark called pencil puzzle bench Testing AI model's ability to solve puzzles like these. https://ppbench.com/ Can play the p…

  3. story
    Show HN: Pencil Puzzle Bench – LLM Benchmark for Multi-Step Verifiable Reasoning

    I've been working on applying LLMs to long-context, verifiable problems over the past year, and today I'm releasing a benchmark of 62,000 pencil puzzles across 94 types (sudoku, no…

  4. comment
    Comment #47065187

    Fun read. One upside of the deterministic schemes is they include provenance/lineage. Can literally "trace up" the path the history back to the original ID giver. Kinda has me curi…

  5. comment
    Comment #46886923

    I almost feel like this goes opposite to what attention is good at. This would be good at approximating all the places where attention is low / not sharp. Where attention/the expon…

  6. comment
    Comment #46183087

    Bytedance is publishing pretty aggressively. Recently, my favorite from them was lumine: https://arxiv.org/abs/2511.08892 Here's their official page: https://seed.bytedance.com/en/…

  7. comment
    Comment #45644415

    Previous paper from DeepSeek has mentioned Anna’s Archive. > We cleaned 860K English and 180K Chinese e-books from Anna’s Archive (Anna’s Archive, 2024) alongside millions of K-12 …

  8. comment
    Comment #45056338

    After maintaining my own agents library for a while, I’ve switched over to pydantic ai recently. I have some minor nits, but overall it's been working great for me. I’ve especially…

  9. comment
    Comment #45046103

    The first time I got off at and heard Komagome's tune I mistakenly thought it was some halloween special because it was late October at the time, and the song felt so distinct and …

  10. comment
    Comment #45046057

    Interestingly this one seems it is from before 高輪ゲートウェイ (Takanawa Gateway) station which opened in 2020, but the numbering shows the gap (JY 25 -> JY 27). That led me to looking it…

  11. comment
    Comment #44805123

    Not getting around it, just benefiting from parallel compute / huge flops of GPUs. Fundamentally, it's just that prefill compute is itself highly parallel and HBM is just that much…

  12. comment
    Comment #44805075

    I was able to get gpt-oss:20b wired up to claude code locally via a thin proxy and ollama. It's fun that it works, but the prefill time makes it feel unusable. (2-3 minutes per too…

  13. comment
    Comment #43992314

    I've been working on something very similar as a tool for my own AI research -- though I don't have the success they claim. Mine often plateaus on the optimization metric. I think …

  14. comment
    Comment #43631462

    I’ve been using whisky to play Elden ring on my M4 MBP and it’s been great! I love that the Game porting toolkit and wine all work so well. I did have to do some pinning of steam t…

  15. comment
    Comment #43187929

    I tried to do this myself about ~1.5 years ago, but ran into issues with capturing state for sockets and open files (which started to show up when using some data science packages,…

  16. comment
    Comment #42496957

    I don’t quite understand this - by 30k pages, is this the number of entries in your index? Did you mean 30M? At the 768 4 =30MB, a scan over it and a sort is on the ~100us or faste…

  17. comment
    Comment #42474534

    By my estimates, for this single benchmark, this is comparable cost to training a ~70B model from scratch today. Literally from 0 to a GPT-3 scale model for the compute they ran on…

  18. comment
    Comment #42474167

    3400 came from counting pixels on the plot. Also its $20 on for the o3-low via the table for the semi-private, which x172 is 3440, also coming in close to the 3400 number

  19. comment
    Comment #42474141

    they use some poor language. "High Efficiency" is O3 Low "Low Efficiency" is O3 High They left the "Low efficiency" (O3 High) values as `-` but you can infer them from the plot at …

  20. comment
    Comment #42474120

    some other imporant quotes: "Average human off the street: 70-80%. STEM college grad: >95%. Panel of 10 random humans: 99-100%" -@fchollet on X So, considering that the $3400/task …

  21. comment
    Comment #42474010

    That's the low-compute mode. In the plot at the top where they score 88%, O3 High (tuned) is ~3.4k

  22. comment
    Comment #42473876

    Efficiency is now key. ~=$3400 per single task to meet human performance on this benchmark is a lot. Also it shows the bullets as "ARC-AGI-TUNED", which makes me think they did som…

  23. comment
    Comment #42101858

    I like writing to myself / talking to myself... but I'm trying to convert that internal captured thought / language into brand value and useful information in a wider contexts. Goo…

  24. comment
    Comment #42101827

    I write for myself a lot, roughly ~5000 words a day in notes, messages to self, etc. I have no problem writing and talking to myself. It's the editing process and formalizing it fo…

  25. comment
    Comment #42101675

    Worrying what others think resonates with me a lot. Every few weeks I try to motivate myself to write more online (HN, X, blogs) and consistently get “self sabotage” stuck. (Been g…