And the latest Kimi is better than Fable 5. Another plane has indeed hit the Anthropic towers.
this post was submitted on 19 Jul 2026
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It does not seem to be better except in terms of cost
It does not seem to be better
except in terms of cost
Except cost. Except open source. Except the entire fucking global economic trillion dollar US AI model.
Those are very big exceptions.
(Also, I'm mostly stealing from Yσɠƚԋσʂ's post.)
That's one benchmark that they focused on, but having double checked, you're right, I was thinking of this one where it lags behind gpt 5.6 https://deepswe.datacurve.ai/
I'm just waiting for the closed-source AI industry to have their Black Swan moment.
Something's going to come out of left field from the open AI community and all that investment in proprietary models and mega-compute is going to be rendered useless.
You still need the mega-compute. Even for inference, 1.5 terabytes of RAM in modern servers isn't cheap.
It could be TurboQuant or something like it. The biggest detraction to local LLM models is being able to close the gulf between obscenely-expensive 512GB NPUs, to house the 230GB uncompressed models (+ context), and more common 24GB GPUs. Quantized 15-18GB models are already working pretty well, but context size is still a bit of a problem.
Of course, the whole industry need to ramp up memory production and wrestle duopolies from the few that can make the raw silicon. It was pretty fucking pathetic that parts of the PC industry decided to leave these silicon processing weaknesses in various places. Large corps could have easily jumped into the industry and made bank in the long-term, but that would require not funneling into short-term quarterly profit bullshit.