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Kimi K2.6 just beat Claude, GPT-5.5, and Gemini in a coding challenge

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Re: Kimi K2.6 just beat Claude, GPT-5.5, and Gemini in a coding challenge

#231

Post by darkoob12 »

gmerc wrote: post #201
darkoob12 wrote: post #186

Earlier quoted context omitted.

Can you name some tangible AI idea that came out of Chinese labs? I can name thousands that came out western universities. I see a lot of rhetoric that only the Chinese labs are contributing to AI while companies like Google and Microsoft are still pulishing their research. Unfortunately the domain of scientific papers is cluttered with AI slop but still occasional serious paper that i find are from western labs part…

Oh please https://github.com/deepseek-ai

It doesn't mean only Chinese companies are contributing. Take TurboQuant, a serious theoretical paper not just GPU optimization, it was google research as the original transformers as MoE and many other techniques we use daily in deep learning as for libraries like TensorFlow which were pivotal to fast development of AI

Re: Kimi K2.6 just beat Claude, GPT-5.5, and Gemini in a coding challenge

#232

Post by gmerc »

darkoob12 wrote: post #231
gmerc wrote: post #201

Earlier quoted context omitted.

Oh please https://github.com/deepseek-ai

It doesn't mean only Chinese companies are contributing. Take TurboQuant, a serious theoretical paper not just GPU optimization, it was google research as the original transformers as MoE and many other techniques we use daily in deep learning as for libraries like TensorFlow which were pivotal to fast development of AI

Bit of a strawman, isn’t it.

Re: Kimi K2.6 just beat Claude, GPT-5.5, and Gemini in a coding challenge

#234

Post by pheggs »

fireant wrote: post #228
pheggs wrote: post #101

Earlier quoted context omitted.

I personally believe that eventually manufacturers will want to sell more of their hardware and look for ways to sell hardware to consumers. isnt that situation quite similar to the days of early computers? I am for sure biased in hoping that will be the case

Perhaps for some very specific capabilities such as TTS, translation, voice recognition and so on. But for general intelligence models, better hardware just directly allows better models and that doesn't seem to be changing any time soon.

I'm pretty sure that's not linear, so I personally expect the benefits of larger models to diminish. The question is at what point that's the case. I guess a lot of variables play into it, but it is possible that the benefits of running larger models will be too expensive for the little benefit they provide

Re: Kimi K2.6 just beat Claude, GPT-5.5, and Gemini in a coding challenge

#235

Post by elxr »

joe_mamba wrote: post #136
sieve wrote: post #51

Kimi is really good. I have been using Sonnet and others (DeepSeek, ChatGPT, MiniMax, Qwen) for my compiler/vm project and the Claude Pro plan is mostly unusable for any serious coding effort. So I use it in chat mode in the browser where it cannot needlessly read your entire project, and use Kimi on the OpenCode Go plan with pi. Kimi consistently exceeded Sonnet on the C+Python project. Never had to worry about it d…

>the Claude Pro plan is mostly unusable for any serious coding effort Why? Seems to go a giant the opinion of the masses who mostly use Claude Pro for serious coding.

The masses don't know shit. Claude pro in my experience runs into usage limits over 2x as fast as even ChatGPT plus.

Both using their respective CLIs, on a relatively small project.

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