• ☆ Yσɠƚԋσʂ ☆@lemmy.mlOP
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    9 days ago

    Just a day ago, a senior Anthropic executive claimed the U.S. still held a 6 to 9 month lead in frontier AI models, while calling Chinese model distillation adversarial. One day later, Moonshot’s Kimi K3 beat Claude Fable 5 on Frontend Code Arena. And the funniest part is that it is an open weight model.

    So the whole 6 to9 month lead lasted about 24 hours. 🤣

    https://hai.stanford.edu/news/inside-the-ai-index-12-takeaways-from-the-2026-report

    • setsubyou@lemmy.world
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      9 days ago

      Tbf they (Moonshot) claim it’s not as good as Fable overall. Fable is also held back by US government mandated guards. Anthropic could well be ahead by a lot in terms of research and maybe we just don’t have the full picture. But that puts them in an even worse spot because it would mean they’re already at the limit of what they can compete with in the market.

      • ☆ Yσɠƚԋσʂ ☆@lemmy.mlOP
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        9 days ago

        I think the big picture here is that the difference in quality is largely subjective at this point, while US companies are burning through orders of magnitude of cash which is obviously not sustainable. We shouldn’t underestimate the power of developing things in the open. Chinese open models benefit from the wisdom of an entire global research community while American engineers working on proprietary closed models are working in their own insular silos. It should be no surprise that the scientific community at large would pull ahead of these small teams. On top of that, doing research in the open amortizes the cost. Incidentally, this is exactly the same logic that led open source to dominate in recent years.

        • mirshafie@europe.pub
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          8 days ago

          OpenAIs bet was that compute was the limiting factor. Sam Altman claimed that essentially no-one could obtain the level of compute necessary to develop something like GPT-4. Then Deepseek came out.

          They’re still trying to make the original claim true because if they admit that they were wrong (or full of shit) it all comes crashing down, not just their companies but likely the economy as a whole.

            • mirshafie@europe.pub
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              7 days ago

              Yeah, it was absolutely correct. Doing so was the only sensible things. Generate the model, release it with open weights. Instead they got greedy and now we have an arms race that is both dangerous, is crashing the economy and is devastating the environment.

        • whatiswrongwithyou@lemmy.ml
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          8 days ago

          It doesn’t hurt that American frontier models are phenomenally huge and cost an exorbitant amount per token in and out while the main source of real world value created by llms in the past year has been through agentic/harness/other words for massive context systems that show a real benefit from simply using more tokens.

    • Benaaasaaas@group.lt
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      8 days ago

      Kimi K3 is not an open weight model, not yet, at least. They promised to releaso on July 27th, but it’s just a promise for now.

    • All Ice In Chains@lemmy.ml
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      9 days ago

      If I were him I too would be in disbelief that people are buying my bullshit 24/7. What other expression could express this so well?

  • jtrek@startrek.website
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    8 days ago

    Can we please not write headlines like that when we’re on the verge of ww3 and literal bombs might be dropped on the US in the coming months?

    • cockmushroom@reddthat.com
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      8 days ago

      Why not? Do you reall think it matters compared to the wankshite oozing out of their leader’s administrations’ mouths?

      • jtrek@startrek.website
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        8 days ago

        Because I thought China had literally bombed the US for a very tense moment before I finished reading the headline. Especially because of how the words wrapped. I didn’t need that stress.

        • Grapho@lemmy.ml
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          8 days ago

          China won’t bomb the US out of the blue. Start worrying about it once the US bombs them first.

          • jtrek@startrek.website
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            8 days ago

            Imagine a context where the reader is looking at the news for the first time that day. They think they missed news in the morning, perhaps the US starting aggressions, and now China has dropped another bomb.

            I’m sure you can imagine such a scenario

  • SleeplessCityLights@programming.dev
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    9 days ago

    The latest model is K2.7, I can decide what wrote the article. Is it more likely than an Ai did not know 2.7 existed or a journalist at Gizmodo is incompetent?

  • sudoer777@lemmy.ml
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    9 days ago

    Kimi K3 looks insane but it’s also very expensive right now, hopefully that changes or I don’t see myself using it over the previous models

    • geneva_convenience@lemmy.ml
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      9 days ago

      I thought Anthropic was heavily subsidizing their models but KimmyK is currently cheaper than Fable and is allegedly a pretty good deal. The only thing it’s missing is a comprehensive coding environment like Claude Code and the whole MCP and plugins ecosystem.

      If Anthropic pulls Fable then a Chinese lab will be in front of them for the first time I can think of.

      • sudoer777@lemmy.ml
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        8 days ago

        Kimi K3 works through OpenCode/Pi. It just got added to OpenCode Go but it’s practically unusable due to the cost (but they might negotiate it down soon), right now you have to use it through OpenRouter or official API, or Kimi Code subscription

      • trilobite@lemmy.ml
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        8 days ago

        I don’t get this. How can Chinese models be so performant if they are spending a tiny fraction of US investment. If this difference in investment is down to research investment, then there is something I’m not getting? And, if Chinese models are open, how is it that they can keep ahead of US? Finally, if all this is true, the investors in US AI business is dangerous territory … i would be running away from that inflated investment. Of course i barely understand AI …

        • jrs100000@lemmy.world
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          8 days ago

          Partly, the Chinese are distilling closed source models, and OpenAI and Anthropic’s attempts to stop this have only succeeded in making their outputs less transparent. Partly, the actual frontier of AI is currently mostly vibes and marketing, as everyone’s cheated the tests so badly that the only way to stay in the running is to cheat. Partly, that weve passed the point where even an honest evaluator could say which general purpose model is better than another, since their performance fluxuates wildly from task to task.

        • geneva_convenience@lemmy.ml
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          8 days ago

          Chinese schools do have reputation for being extremely difficult and China invests more in actual education.

          Combine that with most US funding being a giant Ourobouros of AI companies funding eachother…

  • Hirom@beehaw.org
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    9 days ago

    This may explain why there are scrappers hammering the Internet using Alibaba cloud.