By now, you’ve all heard about Dario Amodei (Anthropic), Sam Altman (OpenAI) and Elon Musk (xAI) are colluding to pass an AI regulation. On the surface, that sounds noble as hell. But is it? A CEO of Cohere openly alleges that these “cartels” are rigging the rules to give themselves an unfair advantage: “AI needs guardrails. That is not the dispute and never has been. The dispute is over who writes them, who gets to participate and whose interests the rules are protecting.” And he’s exactly right. When you have a regulatory moat like government mandates, compliance costs, and licensing frameworks, it essentially creates structural barriers (legally, financially, etc) that would otherwise prevent smaller entrants from competing with the incumbents. I see three things happening here: Price out those pesky upstarts: This is definitely the first one on the list. Demanding a mandatory safety audits from third-party evaluators like METR and mandatory red-teaming are expensive as hell (in the multi-million). While well-capitalized frontier labs like the ones pursuing regulation can easily absorb these costs, bootstrapped startups and research labs will get priced out completely. Marginalize open-source models: This needs no preamble. There’s nothing wrong with highlighting existential risks and calling for strict oversight if it weren’t for their ulterior motives. But what these frontier labs are advocating are policies that restricts open-weight models because that’s the only way to protect their high-margin, subscription- and API-gated business models. Coordinated Standards: This might be the worst. Are they publicly calling for government oversight or are they seeking targeted antitrust exemptions to coordinate safety pacing across labs? In my mind, they’re using their scaremongering tactics to shape the rules of engagement while insulating themselves from anti-collusion prosecution. (Hell yeah, they’re colluding.) submitted by /u/sourdub
Originally posted by u/sourdub on r/ArtificialInteligence
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