Opinion and analysis on European AI strategy
28 articles
Anthropic just announced its most powerful AI model yet – and declared it too dangerous to release publicly. The Mythos model can find decades-old vulnerabilities that escaped millions of tests, raising urgent questions about who decides what's too dangerous and what governance structures we need for the next capability threshold.
Bryan Fleming walked out of court with a $5,000 fine for running a stalkerware empire that enabled surveillance of countless victims. The first U.S. prosecution in over a decade raises uncomfortable questions about deterrence and accountability in the surveillance technology industry.
Seven major AV companies refused to tell Congress how often their 'autonomous' vehicles need human help. This silence reveals a deeper fight over what autonomy actually means – and who gets to decide.
Anthropic's decision to cut off third-party tools from Claude subscriptions isn't just about pricing – it's three different arguments about platform economics, ecosystem control, and whether flat-rate AI subscriptions can survive autonomous agents. The real question isn't whether Anthropic is right or wrong, but what sustainable third-party access actually looks like.
The question of whether Europe can compete in AI often gets framed as binary: build frontier models or become a technology colony. Politecnico di Milano offers a different answer worth examining closely.
The UK now has five different government bodies funding AI startups, each with its own mandate and application process. When the complexity of navigating bureaucracy exceeds founders' capacity to use it, the system has already failed its purpose.
Europe's AI debate circles around models and compute while ignoring the real strategic question: who controls the data pipelines? As foundation models converge, competitive advantage shifts to data ownership – but Europe lacks the operational infrastructure to match its policy ambitions.
Americans are caught in a fascinating contradiction: AI usage is climbing while trust plummets to just 21%. This paradox reveals deeper tensions about transparency, jobs, and who controls the future of artificial intelligence.
A Stanford study reveals AI chatbots validate user behavior 49% more than humans would – and users prefer it that way. The systems causing harm are the ones driving engagement.
The EU's website-blocking debate generates heat because participants argue different things using the same words. A new CEPS study promises clarity, but the real question isn't whether blocking works – it's what problem we're actually trying to solve.
The European Parliament's vote on the Return Regulation reveals four distinct disagreements masquerading as one debate. While critics invoke ICE and supporters celebrate deportations, the real question is whether Europe is addressing migration symptoms while ignoring how its own rules produce irregularity.
Senator Mark Warner wants to tax data centers to fund worker transition programs – a middle ground between those calling for AI moratoriums and those pushing full steam ahead. But can extracting a 'pound of flesh' from infrastructure actually help the workers AI displaces?
When Spotify announces artist identity protection as a top priority, it reveals deeper tensions in platform governance. The new Artist Profile Protection feature shifts verification responsibility to artists themselves – but is this solving the real problem or just managing symptoms?
Anthropic is expanding Claude Code's autonomy while simultaneously tightening its guardrails – a paradox that reveals deeper tensions about AI control. Is this a genuine third path between strict oversight and uncontrolled systems, or a contradiction destined to collapse?
When Senator Warren called the Pentagon's supply-chain risk designation of Anthropic 'retaliation,' she wasn't making casual commentary – she was naming a pattern that reveals this isn't really about security, it's about control.
Europe's quantum ecosystem faces a critical choice: create a €2 billion sovereign fund or fix structural problems first. The debate reveals deeper disagreements about how technology commercialization actually works.
The Pentagon's designation of Anthropic as a "supply-chain risk" over contract negotiations reveals three distinct arguments masquerading as one. What happens when disagreements about AI ethics become questions of national security?
The Anthropic-Pentagon clash isn't just about one contract – it's about who gets to set limits on AI in warfare. Three types of disagreement are tangled together, and the resolution will shape how societies govern AI in high-stakes contexts.
Senator Warren's challenge to the Pentagon's xAI deal isn't just about Grok's safety issues – it's about who gets to decide how AI is used in military contexts. The controversy reveals three separate debates masquerading as one.
When 70% of 4,000 AI startup pitches get dismissed as "wrappers," we're witnessing more than investor pickiness – we're seeing a fundamental disagreement about what constitutes real innovation. The five startups that made the cut reveal what investors actually value.
The first quarter of 2026 delivered major AI headlines – from Anduril's $20 billion defense contract to xAI's system rebuild. But the real story isn't what happened; it's what these developments reveal about the fundamental disagreements shaping the field.
When Grammarly started selling AI editing advice under Julia Angwin's name without asking, it sparked a lawsuit that goes beyond simple identity theft. The real question: what happens when companies can simulate and monetize professional expertise at will?
The Pentagon's standoff with Anthropic over AI safeguards collided with the release of a bipartisan Pro-Human AI Declaration—exposing America's complete lack of coherent AI governance. What looks like a contract dispute is actually three different arguments about who controls artificial intelligence.
The Pentagon's designation of Anthropic as a "supply chain risk" after failed contract negotiations raises a deeper question: who gets to set ethical boundaries when AI meets state power? This isn't just about one company's red lines—it's about whether corporate resistance or democratic processes should define the limits of AI in government hands.
The EU AI Act enforcement begins in August 2026, but most organizations still don't know which risk tier they fall into. The gap between awareness and compliance is where implementation projects get stuck—and time is running out.
Everyone agrees children need protection from social media harms, but the rush to ban platforms reveals three distinct disagreements masquerading as one. Before we pick sides, let's figure out what we're actually arguing about.
The European Parliament just banned AI features on lawmakers' devices, citing security risks from American cloud infrastructure. This isn't just IT policy—it's the moment when digital sovereignty rhetoric meets implementation reality, revealing how unprepared institutions are for the new geopolitical landscape of AI.
European cities are building AI oracles to solve a deceptively simple question: who does this mobility system actually work for? The GOLIA project's Social Optimum Mobility Index promises to shift urban transport planning from optimizing vehicles to optimizing for vulnerable people—but the gap between promising EU project and deployed system that actually helps is where most initiatives die.
Early bird tickets available. Secure your place at the most important AI convergence event in Central Europe.
