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  • Certainly for China. The US still seems to think it can achieve anything with this nonsense.

  • There really is no better way to obtain data. And it’s not just data that’s fed into the AI, but also strategies, methods and processes: ideally, these are incorporated directly into the software.

  • It’s as if the whole world were just one big kindergarten.

  • 💯

  • China is following the same playbook it criticises the US for using. Once AI became a strategic technology, »global collaboration« quickly gave way to »national advantage.« The result is a world where everyone talks about innovation while making it harder for innovation to cross borders. 🤨

  • Technology @lemmy.world

    China considers tighter export controls on AI models and chips

    www.reuters.com /world/asia-pacific/china-considers-tighter-export-controls-ai-models-chips-ft-reports-2026-07-21/
  • The AI boom is starting to look a lot like past »economic development« promises: huge tax incentives, massive power consumption, and surprisingly few permanent local jobs. If taxpayers are footing part of the bill, it’s fair to ask whether communities are getting enough in return.

  • Most companies have not yet been using AI efficiently, and often do so simply out of FOMO. What’s more, the fact that open-weight models have caught up with or even overtaken closed AIs is a recent development over the last six months.

  • Authoritarian governments don’t need superintelligent AI. They need AI that’s just good enough to monitor more people, automate more decisions, and scale censorship at a fraction of the cost. The real danger isn’t AI becoming all powerful: It’s making authoritarianism dramatically cheaper and more efficient.

  • This! It’s fast. It’s reliable. Love it!

  • The feature itself isn’t the biggest issue. Plenty of people would find it genuinely useful. The bigger problem is executives denying it exists until they’re ready to talk about it. If users can’t trust what a company says about face recognition today, why should they trust its privacy promises tomorrow?

  • Exactly. Dominance is earned by building products people genuinely prefer, not by making alternatives harder to reach. Every restriction becomes an incentive for competitors to innovate faster. If the US had focused on winning through better models, stronger companies, and real competition instead of political leverage, it would probably be in an even stronger position today.

  • This! The irony is that every attempt to turn AI into a geopolitical choke point becomes free marketing for open weight models. People tend to trust tools they can actually control. If access can vanish with a policy memo, resilience suddenly matters more than benchmark bragging.

  • Technology @lemmy.world

    Trump administration reportedly builds a slow-motion ban on Chinese AI models through sanctions and soft pressure

    the-decoder.com /trump-administration-reportedly-builds-a-slow-motion-ban-on-chinese-ai-models-through-sanctions-and-soft-pressure/
  • If the price of visa free travel is giving a foreign government access to Europeans’ biometric data, then it’s a bad deal: The EU lectures the world about privacy and digital sovereignty, yet too often folds when Washington asks for another exception!

  • Open models are one of the few forces keeping AI from becoming an oligopoly: Without them, a handful of companies would control the technology, prices, and the rules of what users are allowed to do. Competition from open models is already pushing the entire industry to innovate faster and charge less. 💪😎✌️

  • You’re describing different guardrails: Most users don’t want arbitrary censorship, but almost everyone benefits from guardrails that reduce clearly harmful or illegal outputs. The real debate is not whether they exist, it is who decides where the line is drawn.

  • I think the bubble will not burst but deflate long before the tech disappears: Plenty of companies will burn cash and investors will get wrecked, but the genuinely useful products will stick around. Guardrails will improve too, because trust eventually becomes a competitive advantage.

  • Europe keeps announcing »digital sovereignty« while handing its most valuable data, AI workloads, and cloud infrastructure to American hyperscalers: You don’t achieve independence by subsidizing chip factories while renting your digital future from foreign tech giants! That’s dependence with better PR.

  • Calling every safety measure a »nanny state« is a convenient way to avoid the actual question: Parents, family, and community absolutely matter, but companies still have a responsibility to reduce foreseeable harm. We expect that from car makers, drug companies, and social platforms too.

  • You’re underselling what companies can do. An LLM can’t verify reality the way people imagine, but it can detect patterns that correlate with crisis well enough to escalate, refuse harmful advice, or encourage real help. Seatbelts don’t prevent every crash either: they still reduce harm.