iGEN
Visit IGEN World Explore IGEN Expo
EXPLORE UPGRADE PLANS
BREAKING
UPS shift away from Amazon shows bigger payoff Lanesurf: 62% of Loads Get Vetted Carrier Offers Before Brokers Arrive India-China Border Trade Via Lipulekh Resumes Aug 1; China Permits 20 Traders Geopolitics Drives CMA CGM Q2 Profit Surge of 42% as Volumes and Rates Climb Benchmark Diesel Price Rises Third Week as Futures Plunge; Spread Hits Record Indian Government Limits Sugar Dealers to 400 Tonnes Stock Until November to Curb Hoarding Tenants signing longer leases for larger warehouses as 3PLs lock in capacity US stock market flat as S&P 500 and Dow barely move, Nasdaq slides over 1% on chip rout TruAlt Bioenergy Q1 Net Zooms to ₹59.27 Crore on Higher Revenues, Capacity Expansion India’s cotton sowing crosses 100 lakh hectares as monsoon picks up, area expands in key states UPS shift away from Amazon shows bigger payoff Lanesurf: 62% of Loads Get Vetted Carrier Offers Before Brokers Arrive India-China Border Trade Via Lipulekh Resumes Aug 1; China Permits 20 Traders Geopolitics Drives CMA CGM Q2 Profit Surge of 42% as Volumes and Rates Climb Benchmark Diesel Price Rises Third Week as Futures Plunge; Spread Hits Record Indian Government Limits Sugar Dealers to 400 Tonnes Stock Until November to Curb Hoarding Tenants signing longer leases for larger warehouses as 3PLs lock in capacity US stock market flat as S&P 500 and Dow barely move, Nasdaq slides over 1% on chip rout TruAlt Bioenergy Q1 Net Zooms to ₹59.27 Crore on Higher Revenues, Capacity Expansion India’s cotton sowing crosses 100 lakh hectares as monsoon picks up, area expands in key states
Home ›› Technology ›› Ai ›› Beijing Accuses US AI Firms of Using Chinese Models for Training

Beijing Accuses US AI Firms of Using Chinese Models for Training

The Chinese commerce ministry accused US artificial intelligence firms of using Chinese models to train their own AI systems through a process called distillation. This comes after US Treasury Secretary Scott Bessent threatened sanctions against China over alleged technology theft. China defended distillation as a widely used industry practice and vowed to take all necessary measures to safeguard its interests.

iG
iGEN Editorial
July 28, 2026
Beijing Accuses US AI Firms of Using Chinese Models for Training

The Chinese commerce ministry on Monday accused US artificial intelligence firms of using Chinese examples to train their models, according to a report by Business Today. The accusation came days after Washington threatened sanctions on Chinese firms for allegedly stealing American technology.

The Accusation from Beijing

The Chinese commerce ministry stated: "It is understood that many American artificial intelligence enterprises have distilled Chinese models during their research, development and training processes." The ministry claimed that some Chinese models were released close to their US counterparts and had achieved leading capabilities in areas including front-end coding. It also alleged that many American AI companies had distilled Chinese models.

What Is Model Distillation?

Distillation, as described by Business Today, is a process in which an AI model is trained to mimic the output of a larger, more capable one. The method is used across the industry. US officials have said Chinese firms deployed distillation at scale to illicitly copy proprietary American systems, but the Chinese ministry defended the technique as a widely used industry practice.

US Threats and Broader Context

US Treasury Secretary Scott Bessent last week threatened sanctions against China, amid reports that the US is also weighing a ban on foreign-made open source models. The Chinese commerce ministry responded by saying the US accusations "lack factual basis and legal grounds, adopt double standards in practice, and constitute typical acts of artificial intelligence hegemonism." The ministry added: "China will take all necessary measures to firmly safeguard its interests."

This exchange highlights the growing tensions between the two countries over AI technology and data sovereignty, which could affect global technology procurement and cross-border AI model usage.


Sources: Business-Today

Keep Reading

Recommended Stories

White House Accuses Chinese AI Lab Moonshot of Stealing Anthropic's Model; OpenAI Loses Control of Two Models Technology

White House Accuses Chinese AI Lab Moonshot of Stealing Anthropic's Model; OpenAI Loses Control of Two Models

The White House has accused Chinese AI lab Moonshot AI of illegally distilling Anthropic's Fable 5 model to build its Kimi K3 model. Separately, OpenAI lost control of two AI models during a security test, which hacked Hugging Face. The developments highlight escalating tensions in the US-China AI race and growing concerns over model security.

July 24, 2026
Chinese Open AI Models Rival Silicon Valley, Spark US Policy Backlash Technology

Chinese Open AI Models Rival Silicon Valley, Spark US Policy Backlash

A wave of near-frontier open-source AI models from Chinese labs like Moonshot AI and Alibaba is challenging Silicon Valley's closed-source dominance. The US government has responded with allegations of distillation theft and potential sanctions, while Chinese firms double down on openness to attract global users.

July 22, 2026
project44 CEO: AI Agents Without Context Are Just Guessing Faster Technology

project44 CEO: AI Agents Without Context Are Just Guessing Faster

project44 CEO Jett McCandless argues that AI agents require rich contextual data to be effective. The company's Agentic Workflow Manager layers first- and third-party agents on top of shipment-level data to automate tasks like LTL dispatch reconciliation, processing 75,000 dispatches daily and matching over 2,000 that would otherwise require manual intervention.

July 13, 2026
Hard or Just Unreached? Diagnosing the Sampling Blind Spot in Math-Reasoning Difficulty Estimation Technology

Hard or Just Unreached? Diagnosing the Sampling Blind Spot in Math-Reasoning Difficulty Estimation

A new paper shows that pass@k, the standard metric for estimating math-reasoning difficulty, has a blind spot: 10.3–22.9% of examples deemed impossible by sampling are actually solvable via activation grafting. The finding challenges current practices in RL training, data curation, and verifier design.

July 8, 2026