"The interaction quickly became a visual symbol of the deep rivalries in the AI industry, particularly between OpenAI and Anthropic, though Altman sought to brush off any deeper meaning. "I didn't know what was happening," Altman later said in a video interview with Indian media outlet Moneycontrol. He said he was "confused, like when (Modi) grabbed my hand and put it up, and I just wasn't sure what we were supposed to be doing." Anthropic declined to comment."
"Modi, host of the India AI Impact Summit in New Delhi, clasped hands with those closest to him - Altman to his left and Google CEO Sundar Pichai to his right - and beckoned all 13 tech leaders to lift their hands up in a chain, like theater actors at the end of a show. Everyone was holding hands except for Altman and Amodei, who stood next to each other but for several seconds awkwardly avoided hand contact."
"The two AI developers have a history, one that predates the creation of OpenAI's hit product, ChatGPT, and Anthropic's competing chatbot Claude. Amodei worked at OpenAI before he and a group that included his sister, Daniela Amodei, quit to form Anthropic in 2021. The newer company promised a clearer focus on the safety of the better-than-human technology called artificial general intelligence that both San Francisco firms aim to build."
Indian Prime Minister Narendra Modi invited leaders of top artificial intelligence companies to gather on stage to support building more inclusive and multilingual AI. Modi clasped hands with Altman and Sundar Pichai and asked all 13 tech leaders to raise their hands in a chain. Altman and Anthropic CEO Dario Amodei awkwardly avoided hand contact for several seconds and instead raised their fists, creating a viral visual emblem of industry rivalry. Altman said he was confused about the gesture. Anthropic declined to comment. Amodei left OpenAI in 2021 to found Anthropic, which emphasizes safety and aims to develop artificial general intelligence. ChatGPT's late-2022 release revealed significant commercial potential for large language models.
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