691–700 of 1001 posts
Earlier quoted context omitted.
As a different Brit I do not accept such moral relativism. China’s governments actions are on a completely different level - for example: “”” Since 2014, the government of the People's Republic of China has committed a series of ongoing human rights abuses against Uyghurs and other Turkic Muslim minorities in Xinjiang which has often been characterized as persecution or as genocide. “”” https://en.wikipedia.org/wiki/…
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The incredible arrogance and hybris of the American initiated tech war - it is just a beautiful thing to see it slowly fall apart. The US-China contest aside - it is in the application layer llms will show their value. There the field, with llm commoditization and no clear monopolies, is wide open. There was a point in time where it looked like llms would the domain of a single well guarded monopoly - that would have…
Still not sure how I feel about China of all places to control the only alternative AI stack, but I guess it's better than leaving everything to the US alone. If China ever feels emboldened enough to go for Taiwan and the US descends into complete chaos, the rest of the world running on AI will be at the mercy of authoritarian regimes. At the very least you can be sure noone is in this for the good of the people anym…
Truly open source coming from China. This is heartwarming. I know if the potential ulterior motives.
American companies want a scan of your asshole for the privilege of paying to access their models, and unapologetically admit to storing, analyzing, training on, and freely giving your data to any authorities if requested. Chinese ulteriority is hypothetical, American is blatant.
There's something heartwarming about the developer docs being released before the flashy press release.
Something is odd with this model, their blog posts shows REALLY good results, but in most other third-party benchmarks, people realize it's not really SOTA, even bellow Kimi K2.6 and GLM-5/5.1 In my tests too[0], it doesn't reach top 10. One issue, which they also mentioned in their post, is that they can't really serve well the model at the moment, so V4-Pro is heavily rate-limited and gives a lot of timeout errors…
I see that you tried to justify this lower in the thread, but no… it completely invalidates your benchmark. You are not testing the model. You are conflating one specific model host and model performance, and then claiming you are benchmarking the model. All major models are hosted by multiple different services.
In the real world, clients will just retry if there is a server error, and that will not impact response quality at all, and the workflow the model is being used in will not fail. If a workflow is so poorly coded that it doesn’t even have retry logic, then that workflow is doomed no matter which host you use. But again, reliability of the host is separate from the model.
You can make your benchmark valid by having separate leaderboards for model quality and host reliability. I’m not saying to throw the whole thing away. But the current claim is not valid.
And you’re also making an unsourced claim that everyone else has already determined this model sucks? Nah. The first result from Artificial Analysis shows good things: https://x.com/ArtificialAnlys/status/2047547434809880611
But I am still waiting to see the results from the full suite of AA benchmarks.
> pricing "Pro" $3.48 / 1M output tokens vs $4.40 I’d like somebody to explain to me how the endless comments of "bleeding edge labs are subsidizing the inference at an insane rate" make sense in light of a humongous model like v4 pro being $4 per 1M. I’d bet even the subscriptions are profitable, much less the API prices. edit: $1.74/M input $3.48/M output on OpenRouter
Point taken but there isnt any western providers there yet. Power is cheaper in china.
Open Source as it gets in this space, top notch developer documentation, and prices insanely low, while delivering frontier model capabilities. So basically, this is from hackers to hackers. Loving it! Also, note that there's zero CUDA dependency. It runs entirely on Huawei chips. In other words, Chinese ecosystem has delivered a complete AI stack. Like it or not, that's a big news. But what's there not to like when…
Where did you read this? From what I read in the paper it appears to explicitly state that they used NVIDIA GPU's and their MegaMOE code, which is written in CUDA.
Are there comparisons between Pro non thinking and Flash thinking ? i don't really get the use case for Flash thinking and Pro non thinking
There are quite a few comments here about benchmark and coding performance. I would like to offer some opinions regarding its capacity for mathematics problems in an active research setting. I have a collection of novel probability and statistics problems at the masters and PhD level with varying degrees of feasibility. My test suite involves running these problems through first (often with about 2-6 papers for conte…
Same with GPT-5: Latest 5.5, prior 5.4, or actually the original 5 (.0)?
You can't talk about model performance without specifying the exact model.
Open Source as it gets in this space, top notch developer documentation, and prices insanely low, while delivering frontier model capabilities. So basically, this is from hackers to hackers. Loving it! Also, note that there's zero CUDA dependency. It runs entirely on Huawei chips. In other words, Chinese ecosystem has delivered a complete AI stack. Like it or not, that's a big news. But what's there not to like when…
I can't find any info on what exactly is open sourced. And in any case what does open source actually mean for an llm? It's not like you can look inside it to see what it's doing.
AllenAi is the fullest open ai I know of