Inkling 2 Small

(thinkingmachines.ai)

38 points | by Philpax 1 hour ago

8 comments

  • Jackobrien 48 minutes ago
    The best open models today have been “good enough” to do most knowledge work for a few months. This might be the first US one good enough too. That’s a big deal.

    Open weight US based Opus 5.5 within 12 months.

    • kadoban 10 minutes ago
      > Open weight US based Opus 5.5 within 12 months.

      Seems unlikely. Maybe open weight at all near there? That'd be great.

  • a11r 36 minutes ago
    Very refreshing to see benchmarks where the reporting team is not the clear winner. They are claiming to be better than GLM 5.3 flash, which is impressive if it holds up outside of benchmarks.
  • tcdent 56 minutes ago
    Is it SOTA yet? No. Are the domestic open weights labs demonstrating incredible velocity? Undeniably.
    • bashtoni 54 minutes ago
      Distillation is the tide that lifts all boats
      • epsteingpt 21 minutes ago
        Imagine if Mira Murati and John Schulman actually know what they're doing?
  • epsteingpt 23 minutes ago
    It's a nice, domestic open weight model.

    Without hundreds of millions in 9 days a small team is producing a model that can beat DeepSeek 4.1 and a platform to tune it.

    Optimistic for the future.

  • ddxv 48 minutes ago
    This is amazing! Can't wait to trying this out. Also, crazy that I found this on LinkedIn with more upvotes and discussion than the HN thread has.
  • syntaxing 32 minutes ago
    I can’t seem to find the cost? The craziness of deepseek flash 1017 is how ridiculously cheap it is for how capable it is.
    • Bolwin 28 minutes ago
      AA lists it as $0.30/0.03/1 and cost per task is $1.18, about double that of deepseek
      • kadoban 7 minutes ago
        Wow, that's pretty good.
  • jazzyjackson 21 minutes ago
    I don’t like it. Poor form to squat on an old companies name like that, one which has a rich legacy in AI. I know the trademark was cancelled so all I can say is I don’t like it.
  • lostmsu 17 minutes ago
    > Small: 594 billion parameters

    cries in GPU racks