China’s DeepSeek beefs up agentic AI with ‘harness’ tests as V4 model jolts Silicon Valley China's DeepSeek is recruiting developers to beta test DeepSeek Harness, software that turns language models into autonomous agents, as its V4 Flash model sends another cost-efficiency shock wave through Silicon Valley. The Hangzhou-based firm's harness team lead Cui Tianyi announced the recruitment on Saturday, escalating the price war with US rivals. CEO Liang Wenfeng continues to push cheap, highly capable models as a core strategy toward artificial general intelligence. China’s DeepSeek beefs up agentic AI with ‘harness’ tests as V4 model jolts Silicon Valley Hangzhou-based firm is recruiting developers to test software that turns language models into autonomous agents, escalating price war with US rivals V4 Flash model https://www.scmp.com/tech/tech-trends/article/3351471/openclaw-adds-deepseek-v4-models-tech-world-assesses-huawei-tie?module=inline&pgtype=article sends another cost-efficiency shock wave through Silicon Valley. The Hangzhou-based firm was looking for open-source project developers to join beta testing for DeepSeek Harness, according to a social media post on Saturday by Cui Tianyi, who leads the harness team. Claude Code https://www.scmp.com/news/china/article/3359901/anthropic-hits-back-after-china-warns-claude-code-backdoor-risks?module=inline&pgtype=article . DeepSeek hired Cui https://www.scmp.com/tech/big-tech/article/3354113/deepseek-recruits-former-jane-street-engineer-catch-ai-agents-revenue-race?module=inline&pgtype=article in March to join its newly formed harness group. He was previously a Hong Kong-based co-founder of quantitative trading firm TSY Capital and a software engineer at quantitative trading firm Jane Street. Cui did not disclose a release date for DeepSeek Harness. However, he noted on social media in June that while the team held ambitious goals, it remained severely short-staffed and was recruiting across multiple channels. The agent push comes as CEO and co-founder Liang Wenfeng doubles down on cheap, highly capable models as a core strategy towards artificial general intelligence AGI , a coveted milestone where AI systems match or surpass human cognitive abilities.