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Anthropic CEO to AI companies: Fulfil your cancer promise, rather than blaming me

Anthropic CEO Dario Amodei believes public negativity towards AI stems from a deep crisis of trust. He argues that genuine breakthroughs, not marketing, will rebuild credibility with ordinary people. Amodei stated that AI firms must deliver tangible benefits to regain public confidence. He also discussed AI regulation, favoring oversight that decentralizes power. Anthropic is focusing on…

Anthropic CEO to AI companies: Fulfil your cancer promise, rather than blaming me

Anthropic CEO Dario Amodei has defended his company against accusations that warnings about the risks of artificial intelligence are fueling public mistrust. In a lengthy post on social media platform X, Amodei argued that the real problem lies in a "crisis of trust" stemming from deep-seated suspicion towards corporations, governments, and the tech industry spanning decades.

"Ordinary people don't trust us and suspect we're cooking up some new way to screw them over," he wrote. Amodei dismissed the idea that AI firms should rely on flashy campaigns to improve their image. "At this point, saying that AI will cure cancer is more a cliché than inspiring," he stated. Instead, he emphasized that rebuilding trust hinges on delivering actual breakthroughs, such as curing cancer, rather than making deceptive promises.

To illustrate his point, Amodei compared his approach to accountability in diet, health, academics, sports, or engineering, stressing the importance of self-control and discipline. He acknowledged that the public's negative view of AI is a significant issue but insisted that this is primarily due to a broader crisis of trust, not solely from warnings from AI leaders.

Amodei suggested that the most effective way to regain trust is by actually delivering on promises to benefit the world, rather than engaging in deceptive or clichéd marketing.

Written by urgent.news from Times of India's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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