Anthropic unveiled Mythos, an advanced AI model. The US government considers it potentially dangerous and demands transparency. Anthropic pushes back, citing trade secrets. Open conflict. This follows months of tension between Big Tech and American regulators.
For Europe, this is a wake-up call. Not because the US government is right or wrong. But because the dynamic is clear: private companies decide what is safe, governments chase after. Without enforceable rules, AI becomes a black box. And those who use it — Italian SMEs included — rely on logic they don't understand.
We at Meteora Web see it every day. Companies integrating AI chatbots without knowing where customer data ends up. Sites loading models from US servers without GDPR checks. Generative AI tools used to write contracts. The Mythos case is not an American problem: it's a symptom of a tech dependency that pays poorly. Europe, with the AI Act, tries to set boundaries. But if Anthropic can challenge the US government, what stops OpenAI or Google from doing the same with Brussels?
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Our position is clear: regulating AI is not about stifling innovation — it's about creating a market where small businesses can compete
We at Meteora Web have always chosen technologies we can control. Open source stacks, our own servers, data locked down. For our clients we build solutions that respect European regulation, not bypass it. Because when an AI model is used to optimize Google Ads or write product descriptions, the responsibility lies with the company adopting it — not the provider. Italian SMEs cannot afford to be guinea pigs: every mistake costs revenue and trust.
The digital divide is also geographical, we know it well working from Sciacca. But today the real divide is between those who understand the technology they use and those who just consume it. Mythos is just the latest example: without clear rules, Big Tech writes the rules for us. And those who pay the bill are the businesses without a legal office in Mountain View.
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What to do? Developers and Italian entrepreneurs have three concrete moves. First: never adopt AI tools without verifying where data goes and how it is handled. Second: follow the evolution of the AI Act and prepare for obligations — latecomers pay more. Third: demand transparency from vendors. We've always done this: when a client asks for an AI assistant, we start with policies, not code. In a field where trust is everything, transparency is the only investment that always pays off.
