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Greece's prime minister visited San Francisco to attract tech investment and was unusually candid about not having answers to AI's societal challenges. He acknowledged that governments are scrambling to keep pace with AI's speed and effects on jobs, education, and human development.
- Greece is positioning itself as a tech hub after its debt crisis recovery—it now borrows more cheaply than the U.S., regains developed market status next year, and is offering tax breaks and visa programs to lure talent and companies back.
- Mitsotakis admitted governments are behind the curve on AI policy; Greece's ban on social media for under-15s may already be obsolete given AI chatbots, and he warned that job displacement will happen faster than any society is prepared for.
- He called for AI development to slow down and backed "smart regulation," arguing that if AI lab leaders admit uncertainty about how their models work, policymakers need to listen rather than pretend to have solutions.
Cohere's CEO argues that major AI labs are using safety concerns as cover to lock in their market dominance through government-blessed cartels, and proposes an open, evidence-based framework for AI regulation instead of letting a handful of Silicon Valley companies dictate global standards.
- Big AI companies are asking governments for antitrust exemptions to coordinate on safety standards and slow development, which would entrench their advantages while excluding other developers and the public from the rule-making process entirely.
- Historical precedent shows this strategy fails: bond rating agencies and car manufacturers got similar regulatory protections under safety justifications, then used them to block competition for decades.
- Safety frameworks designed by a few labs only rigorously assess risks they've already built defenses for, ignore legitimate scientific disagreements (like whether model size or system design matters more for security), and set entry barriers so high that only well-funded incumbents can comply.
In April, a jury will decide whether OpenAI’s shift from nonprofit to for-profit was fraudulent under Musk’s $150 billion suit. A ruling against OpenAI could unsettle every AI company that started as a nonprofit or public-benefit entity and derail its IPO plans.
- A jury trial starting late April will decide if OpenAI's nonprofit-to-for-profit conversion was fraudulent, with Musk seeking $150 billion (redirected to OpenAI's charity arm, not himself).
- A ruling against OpenAI could set a precedent threatening other AI labs (Anthropic, xAI) that also used nonprofit missions to attract early funding and talent.
- OpenAI is simultaneously pushing for an $852 billion IPO and just raised $122 billion in funding (Microsoft's exposure alone is $135 billion), so an adverse verdict could derail those plans.
- OpenAI has preemptively asked California and Delaware AGs to investigate Musk for anti-competitive coordination with Zuckerberg, signaling concern over what trial discovery might reveal.