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Regulation: Protecting Incumbents And Suppressing Competition
Regulation brings fairness to the overall market and reduces the advantage of certain parties, this is doomed
Over-regulation, not under-regulation, is the real AI risk. That's Alex Wissner-Gross @alexwg's read, live on Peter Diamandis @PeterDiamandis's Moonshots AMA 289, with no guest in the room to push back. He ties it to a superintelligence race with China and points to 150,000 daily deaths worldwide as the stakes he says superintelligence-driven medicine could cut. His prescription: government stays hands off, lets industry self-police through what he calls "defensive co-scaling." Podcast Alpha's coverage tracks which AI-regulation calls like this hold up. Subscribe for that read on every episode. Source: Moonshot with Peter Diamandis -
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AI regulation calls grow in D.C. after researcher's extinction warning
🇺🇸 REGULATION: The SEC sets the agenda and panelists for its Sept. 17, 2026 roundtable on preparations for 24-hour trading.
Crypto regulation has moved on from the “Wild West” era. ⚖️ So where does it actually stand today? @joannarindell breaks it down ↓
A regulation update has been released for "The Duskbloods Network Test Ver." The update will be applied after launching the game and connecting to the game server. Please be sure to update to the latest regulation version before playing. Thank you.
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New regulations are designed to protect homes from wildfire, but they’re less stringent than defenses recommended by scientists and firefighters.
Crypto regulation is coming one way or another, but will the CLARITY Act become law? How did we get here? What's the hold up? What does it all mean for WisdomTree? @Ryan_Louvar explains this and more on his recent interview at @NYSE @TakingStockLive @FINTECHTVglobal @Cheddar
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AI regulation is far less simple than it looks. It’s prisoners dilemma at insane scale. In theory if all leading AI labs globally agreed to the same process of review and slow down, then we’d get frontier intelligence at similar rates and it diffuses relatively evenly. If the US remains at the frontier at all times, and has heavy regulation on the release of intelligence then we end up with an economic and geopolitical edge because we can control who has access to frontier intelligence. If we delay model releases, however, and another player - specifically China - doesn’t slow down and has equally strong models (not now but soon?) then our delays end up advantaging their models and eventually their tech stack. Now, the US could ban these models, but that actually only puts the US at a steeper disadvantage because other countries won’t have those bans. Then, from a relative competitiveness standpoint the US has now fallen behind even though it started in front. So, none of this is as simple as it looks. At some point it’s a simple bet of can closed models remain at the frontier in perpetuity or is there a risk of any other player or market catching up or just not falling behind.
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