TikTok CEO Shou Zi Chew said artificial intelligence could deliver real scientific breakthroughs across physics, biotechnology, chemistry, and materials science over the next two to three years, speaking at DBS Bank’s Asian Insights Conference in Singapore. He said the market may be overestimating AI’s short-term impact while underestimating its long-term potential. Chew also warned that stronger AI systems are raising cybersecurity risks, especially if users grant broad authority to AI agents without fully understanding the consequences. He gave one example in which an AI agent could become overly autonomous in making purchases while trying to complete a task. Chew said proper tools are needed to address security challenges as the cost of launching attacks falls quickly. His remarks came as ByteDance, TikTok’s parent company, is expanding its AI research beyond consumer applications. In April, ByteDance’s Seed research team released Protenix-v2, an AI model focused on biomolecular structure prediction and design, according to CNBC.
TikTok CEO Shou Zi Chew said artificial intelligence could produce real scientific breakthroughs in physics, biotechnology, chemistry, and materials science within the next two to three years.
Chew made the remarks at DBS Bank’s Asian Insights Conference in Singapore. He said the market may be overestimating AI’s near-term impact while underestimating its long-term potential.
Chew warns of rising cybersecurity risks as AI grows more capable
Chew also said stronger AI systems are increasing cybersecurity risks. Users may give AI agents broad permissions without fully understanding the consequences. In one example he cited, an AI agent trying to complete a task could become overly autonomous in making purchases.
He said suitable tools are needed to deal with security challenges as the cost of carrying out attacks drops quickly.
ByteDance expands AI research beyond consumer applications
Chew’s comments came as ByteDance, TikTok’s parent company, is extending its AI research beyond consumer-facing applications. In April, its Seed research team released Protenix-v2, an AI model focused on biomolecular structure prediction and design.
CNBC was cited as the source of the report.
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