David Sacks warns U.S. could lose AI race after Chinese model's breakout

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David Sacks warns U.S. could lose AI race after Chinese model's breakout

Moonshot AI's Kimi K3 has taken the top spot in a front-end coding leaderboard, giving Sacks fresh ammunition against tighter U.S. AI rules.

TL;DR

David Sacks, an AI investor and White House tech advisor, warns that the U.S. may lose the AI race to China.
China's Kimi K3 model has surpassed American systems on the Frontend Code Arena and other benchmarks.
Sacks criticizes U.S. regulatory actions, such as data center bans and pre-approval requirements for models, as hindering American innovation.
He argues for a hands-off regulatory approach, framing "permissionless innovation" as key to America's past and future technological dominance.
The release of Kimi K3, an open-weight model, comes amid a debate in Washington about regulating frontier AI models.

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David Sacks

This is concerning. For the first time, a Chinese model Kimi K3 has taken #1 on the Frontend Code Arena and is scoring at or near the frontier on other benchmarks.

Meanwhile America is tying itself in knots: politicians and bureaucrats are banning new data centers, piling on state regulations, and pushing for new federal agencies to pre-approve frontier models.

This is how you lose the AI race. The rest of the world won’t play by our rules if we bog ourselves down. Permissionless innovation is how America won the internet and became the technological envy of the world. We can do it again with AI -- while addressing risks in a targeted way -- or we’ll watch our lead evaporate.

clem 🤗 reposted

David Sacks

This is concerning. For the first time, a Chinese model Kimi K3 has taken #1 on the Frontend Code Arena and is scoring at or near the frontier on other benchmarks.

Meanwhile America is tying itself in knots: politicians and bureaucrats are banning new data centers, piling on state regulations, and pushing for new federal agencies to pre-approve frontier models.

David Sacks

I’m not sure whether Dean Ball is confessing to a regulatory capture strategy or simply predicting this will happen (he now says the latter). Either way, the weaponization of regulatory uncertainty as a competitive tool should be completely unacceptable.

He argues there’s no need to ban Chinese open-source models — just direct agencies to issue soft-law warnings that create enough FUD so regulated enterprises back off. “It needn’t be that well justified.”

Wrong. Regulatory decisions should always be well justified and grounded in facts, logic, and evidence, not the deliberate exploitation of fear and uncertainty. Implementing a surreptitious policy through manufactured doubt — rather than strong and explicit justification — corrodes the rule of law and invites future abuse against anyone.

We are at a critical inflection point in AI policy. The leading closed labs, already a duopoly in terms of AI model revenue, want the government to eliminate their open source competition. They have laid their cards on the table. It is time for the rest of Silicon Valley — the vast majority that still values open competition — to do the same.

David Sacks

Kimi K3 just fixed 15 critical security bugs that Codex and Fable refused because of “cyber guardrails.” There’s no reason to limit American models on tasks that Chinese models handle without issue. We’re only making ourselves less competitive.

David Sacks reposted

MTS

Sriram Krishnan reveals why it's easier to defend American code with a Chinese model than an American one right now:

"I don't think it is great that the leading open weight models or open source models are not American. There's some great innovation happening with Moonshot and with DeepSeek and with Qwen, but I would much rather prefer that the leading models are American."

"Linus Torvalds of Linux fame had a law that given enough eyes, all bugs are shallow. Open weight models are inherently secure because when you download a model off Hugging Face, the entire world can take it apart, inspect it, fine-tune it, look at it in ways that you absolutely cannot if they are closed."

"There was an incident with Hugging Face that got reported on earlier today. Hugging Face seems to have found that somebody was using an AI LLM agent to hammer them at multiple places and to find ways to break in."

"The way to counter that is to make sure American or Western or allies defenders have access to the best models to make our software just more secure."

"It may be harder to look at your own code for exploits with Fable than it is when you use a Chinese model. That's just like a weird spot to be, and I think we should fix that."

@sriramk

Yann LeCun reposted

Chamath Palihapitiya

The leading AI has already forked into two options.

A: Closed source American that costs $26-56 per 1MM tokens.

B: Open weight Chinese that costs $0.50-1 per 1MM tokens.

If you force American companies to spend 50-100x more than their competitors abroad here is what will happen:

1. American companies spending 50-100x will at some point become financially impaired and the stock market will crater. This is the equivalent of the US Government saying we can only buy oil at $800/barrel even when the free market sells the same oil for $80/barrel.

2. In the short term, the revenues of the Closed American Labs may remain hi. But then their revenue will also crater because their customers in the US will be impaired and their customers abroad will have already flipped to cheaper solutions.

This would be a terribly self-defeating form of intervention if it were to happen.

clem 🤗 reposted

Parker Conrad

A set of open weights has no nationality. A model hosted on American infra and controlled by an American company is as American as apple pie.

Yann LeCun reposted

Sophia Cai

News: Nearly 200 Silicon Valley companies, including Proton and Y-Combinator, are urging the Trump administration not to cut off access to Chinese open-weight AI models or risk crippling the next generation of U.S. startups. https://t.co/Cj30cyeonb

David Sacks

Secretary @howardlutnick is right. The Kimi Panic needs to stop.

— American frontier models are still ahead. When you factor in what’s in the lab, the gap is even larger. As long as we keep releasing, we will stay ahead. Let our horses run.

— As Ben Thompson showed, Kimi’s apparent cost advantage largely disappears once you account for higher token usage and the real cost of running a model this size. Open weights still require expensive infrastructure.

— Anthropic and OpenAI are growing revenue at rates that Silicon Valley has never seen before at this scale. This remains the clearest test of who is winning the market.

President Trump’s light-touch regulatory approach is working. We should remain confident in American innovation. As long as we don’t sabotage ourselves with unnecessary rules, the U.S. will continue to win.

Elon Musk reposted

Howard Lutnick

CAISI’s latest report shows that Kimi K3 remains behind America’s leading frontier AI models.

The United States continues to lead in frontier AI because we’re home to the greatest innovators and technologists the world has ever seen.

Satya Nadella

Open-weight models are essential to a healthy AI ecosystem. Together with others across our industry, we are outlining a path for open-weight models to strengthen American competitiveness and expand economic opportunity, while protecting national security. https://t.co/Tr0sAzAxTD https://t.co/opMwEbtpoq

Aravind Srinivas reposted

Satya Nadella