Trump’s AI advisor says Kimi K3 shows “how you lose the AI race.” Khosla blames immigration. Marcus wants a congressional investigation.
Moonshot AI’s Kimi K3 topped Arena’s frontend coding leaderboard within 24 hours of launch, ahead of Anthropic’s Claude Fable 5 and OpenAI’s GPT-5.6 Sol. It placed third on Artificial Analysis’s Intelligence Index. The reaction from Washington, Wall Street, and academia was swift and pointed. TNW covered the model’s capabilities at launch, but the political and […] This story continues at The Next Web
Kimi K3 topped Arena’s coding leaderboard in 24 hours. Trump advisor Sacks warned the US is losing. Khosla blamed immigration. A Wall Street CIO called it bad news for closed AI labs.
Moonshot AI’s Kimi K3 topped Arena’s frontend coding leaderboard within 24 hours of launch, ahead of Anthropic’s Claude Fable 5 and OpenAI’s GPT-5.6 Sol. It placed third on Artificial Analysis’s Intelligence Index. The reaction from Washington, Wall Street, and academia was swift and pointed. TNW covered the model’s capabilities at launch , but the political and economic fallout is a story of its own.
David Sacks, Trump’s former AI czar and current cochair of the President’s Council of Advisors on Science and Technology, called the release “ concerning ” and said it was the first time a Chinese model had taken the top coding spot. He blamed US regulatory self-harm: blocking data centres, layering on state regulations, and pushing for federal pre-approval of frontier models. “ This is how you lose the AI race, ” Sacks wrote. “Permissionless innovation is how America won the internet.” Vinod Khosla agreed and added that US immigration policy is “ scaring away brilliant talent. ”
Gary Marcus, the longtime AI industry critic, took a different view. “ Congress should investigate. Seriously, ” he wrote, pointing to a Goldman Sachs chart showing US cloud capex reaching roughly $1 trillion in 2027, about eight times China’s projected spending. The implication: if Chinese labs can match or approach US performance at a fraction of the cost, the trillion-dollar buildout may be harder to justify.
Gavin Baker, CIO at Atreides Management, called K3 an “ inflection point ” and said it is bad news for closed AI startups like OpenAI and Anthropic but a net positive for everyone else. “ Anything that lowers margins and increases competition at the model layer is good for every other AI layer: power, semiconductors, hyperscalers, neoclouds and yes even software, ” Baker wrote. DeepSeek already made its 75% price cut permanent , and K3’s open-weight release at frontier-level coding performance accelerates the same dynamic: the model layer commoditises while the infrastructure and application layers capture the value.
