Anthropic CEO Dario Amodei Responds to Safety Criticism in Long Post: Argues for 'Race to the Top' Strategy with Nine Commercial Costs
Anthropic CEO Dario Amodei responded in a post of approximately 2,000 words to criticism from Nathan Calvin, an AI safety watchdog, regarding the company's safety record. He listed nine safety decisions that he claimed came at a 'high commercial cost'—including delaying the release of Mythos-class models, restricting biological capabilities, supporting California State Bill SB53, and limiting sales to China—to argue that these prove the effectiveness of their 'race to the top' strategy, while acknowledging some communication failures. Critics question whether these costs truly raise industry standards or merely serve as self-serving narrative.
Dario Amodei, CEO of Anthropic, published a long post of approximately 2,000 words on X (formerly Twitter) directly responding to criticism from Nathan Calvin, an AI safety watchdog, regarding the company's safety record. Calvin had previously highlighted several discrepancies between Anthropic's safety commitments and its actual actions. Rather than avoiding these allegations, Amodei put forward a more fundamental argument: Anthropic's safety decisions over the past year—which he listed as nine—were extremely costly commercially, but precisely these costs demonstrate that its 'race to the top' strategy is working.
Amodei's core logic is that only companies at the frontier can set industry standards by making expensive safety trade-offs; such trade-offs by frontier companies have a far greater impact on the industry than those by non-frontier companies. Examples he cited include: the Mythos-class model was ready in February 2026, but Anthropic delayed its public release until June to deploy stronger cybersecurity protections first, which he admitted likely sacrificed months of model leadership advantage; imposing strict classifiers on biological capabilities resulted in false positive rates so high that 'biologists joke about it,' while competitors used this to market their more permissive products; supporting US state-level AI safety legislation like California's SB53, and arguing for stronger provisions than were ultimately passed; restricting the sale of AI services to Chinese-controlled enterprises, including through third-country channels; and announcing this week that the company would dedicate 5% of its equity (and potentially more in the future) to a public benefit fund.