Anthropic chief executive Dario Amodei took to social media this week to refute investor Gavin Baker’s assertion that his warnings about artificial intelligence have stoked a backlash against the technology in the United States. Baker, speaking on the All‑In podcast and on X, suggested that Amodei, soon to become the CEO of one of the world’s most important companies, should adopt a more upbeat tone to counter growing skepticism.
Amodei responded by emphasizing that his public statements have long tried to strike a balance between AI’s potential benefits and its risks. He pointed to his essay “Machines of Loving Grace,” which he said was written because he felt the industry was not painting an inspiring picture of how AI could transform society for the better.
While acknowledging that the public holds a negative view of AI, Amodei rejected the notion that his own messaging is the primary cause. “It is fundamentally a crisis of trust,” he wrote. “Ordinary people don’t trust companies, governments, or the tech industry and always suspect that we are cooking up some new way to screw them over.” The CEO traced that distrust back decades, arguing that the current backlash is simply the latest manifestation of a longstanding problem.
Amodei argued that the most accurate criticism of AI firms, including Anthropic, is their failure to deliver on lofty promises. “We haven’t yet delivered on our big promises to benefit the world,” he said, adding that slogans about curing cancer are clichés unless they are backed by actual cures.
On regulation, Amodei pushed back against Baker’s framing of a false choice between unrestricted AI diffusion and concentration of power through regulation. He noted that many outside Silicon Valley view regulation as a tool to curb corporate influence and protect ordinary citizens. While he does not fully share that perspective, he said Anthropic crafts policy proposals carefully to disadvantage frontier AI companies while advantaging smaller competitors.
Amodei highlighted AI’s structural tendency to concentrate power, warning that open‑weight models merely shift that concentration to those with the largest compute resources. He advocated for “rules of the road” that address cyber, bio, and alignment risks, constrain the power of leading AI firms, and still leave room for open‑weight models under appropriate safeguards.
The exchange underscores a growing rift within the AI community. Some investors, like Baker, urge leaders to adopt a more positive narrative to ease regulatory pressure and public concern. Others, including Amodei, contend that restoring trust requires delivering tangible benefits and transparent, well‑crafted policy, not merely upbeat messaging.
Este artículo fue escrito con la asistencia de IA.
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