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US-China AI Conflict Intensifies: Silicon Valley Backs China

The US-China AI War Just Exploded: Silicon Valley Picks China

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16 thoughts on “US-China AI Conflict Intensifies: Silicon Valley Backs China

  1. If the logic is wrong backfire is inevitable.. or if allergic has a wrong intent and even the logic is right it's still backfires.. backfires SD language of nature within its nature..

  2. Funny, the tRump government won't allow us to sell to China while allowing Ching Ping and the Chinese government to infiltrate our country at the highest levels of tech. Every element of Chinese tech is filled with backdoors that lead Ping and the Chinese government right into our tech companies and to directly take control of our country, its people and our government. So while tRump blocks America from infiltrating China, he opens the doors and allows China to infiltrate America.

  3. You conflate a private EULA breach with federal IP theft; what specific statutory or legal precedent turns synthetic data distillation into a sanctionable trade offense under the U.S. Entity List without clear copyright precedence on AI-generated outputs? How does the calculation for total cost of ownership (TCO) hold up when accounting for the multi-node VRAM and high-bandwidth interconnects required to host a 2.8-trillion parameter MoE model, given that third-party hosting fees often erode the raw token savings over closed APIs?
    Given the substantial performance drop observed in Zhipu’s GLM 5.2 on SWE Marathon compared to TerminalBench 2.1, to what extent are current open-weight benchmarks overfitted to single-pass evaluations versus long-horizon agentic workflows?
    Since distillation relies on extracting outputs from top-tier proprietary models, what structural mechanics prevent distilled open-weight architectures from hitting an intelligence ceiling defined by the source model's failure modes?

  4. If I pay thousands people to each read a certain book and tell me the summary, am I breaking the law if I pass the exam?
    I can distilled the information I need without reading the whole book.

  5. Self-hosting Kimi K3 requires an hardware investment ranging from $350,000 to over $1.5 million USD, alongside dedicated industrial power and cooling infrastructure. Unless you are operating a dedicated AI data center, the practical ways to run it are:
    API Access: Utilizing Moonshot AI’s hosted API ($3/M input, $15/M output).
    Cloud Orchestrators: Deploying on managed enterprise cloud clusters (such as Northflank, AWS, GCP, or Azure BYOC).

  6. US models have used all of our data to train their models and made closed-source models, China may have distilled US models, I don't know, but they made it open-source again – thus giving our data back to us.

  7. Feck Anthropic and OpenAI. They should both be eliminated. All AI models worldwide should always be open weight open source public domain, and it should be by law. This kind of power should not be allowed to be held by a few tech oligarchs.

  8. 😂😂If AI eventually replaces the jobs of all eight billion people, the global economy won't survive. Every business depends on customers, and customers without income can't afford to buy goods or services.

    By the time companies realize they still need human workers, there may be no turning back. Without jobs, people won't have the money to pursue education or training, and future generations will lack the knowledge and skills that modern industries require.

    In that sense, AI could become humanity's own instrument of self-destruction, much like nuclear weapons. Climate change poses another existential threat.

    🤣🤣After nearly 300,000 years of human history, we may be witnessing the final chapter of our own species.

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