Anthropic has done what many thought impossible: it found a hidden space inside Claude where concepts are processed before an answer is given. This is not a gimmick. It’s the first concrete look at how an LLM actually “thinks”. Meanwhile, OpenAI is pushing harder than ever toward its super app — a closed ecosystem swallowing chat, search, commerce, and soon everything else.
For Europe and Italy, this combination is explosive. On one hand, Anthropic’s discovery proves AI interpretability is not a dream: we can understand what happens inside these models. On the other, OpenAI’s strategy reinforces a centralized, proprietary model that turns European businesses into mere tenants of American technology.
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We see it every day with our clients: a company relying on a closed model for its CRM or recommendation engine has zero control over data, pricing, or service continuity. If OpenAI changes terms or hikes prices tomorrow, that SME is held hostage. No recourse.
Our position is clear: Europe must break free from black-box AI dependence and invest in transparent, sovereign models.
Here at Meteora Web, we built our own platforms on proprietary stacks precisely to avoid lifetime fees and hostage data. The same applies to AI: Anthropic’s discovery is a window into a future where we can understand, validate, and control algorithms. But if we keep consuming closed APIs without asking what’s inside, that future won’t be ours. The digital divide is also geographic, and today it’s technological: SMEs in Southern Italy can’t afford to be riders for American AI.
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What to do, concretely? Choose open models like Llama or Mistral, demand transparency from vendors, and push European public funding toward interpretable solutions. You don’t need to be an engineer to know that an algorithm you can’t inspect is a black box holding the keys to your business. And we, who come from accounting and double-entry bookkeeping, know that numbers never add up when you can’t see the line items.
