Tencent has released Hy4, an open-source artificial intelligence model intentionally built using cybersecurity data restricted solely to defensive concepts. To minimize the threat of the system aiding malicious attacks, engineers filtered out materials related to penetration testing, reverse engineering, and exploit development. This release aligns with a wider industry trend of Chinese and U.S. developers restricting cyber-offensive capabilities, similar to precautions recently taken by Moonshot AI.
Key points
Global worries regarding automated cyberattacks are driving companies to restrict trainin…: Global worries regarding automated cyberattacks are driving companies to restrict training data for public models.
Artificial intelligence firms in both China and the United States are actively deploying…: Artificial intelligence firms in both China and the United States are actively deploying safeguards against loss-of-control risks.
Tencent affirmed its commitment to safety by focusing strictly on defensive applications…: Tencent affirmed its commitment to safety by focusing strictly on defensive applications during the model training process.
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Nov 4 : Tencent on Wednesday released Hy4, its new open-source model, that the company said was trained with limited cybersecurity data to "defensive" content to reduce the risks of the model's ability to aid cyberattacks.
The rollout comes after a slew of AI-driven cyberattacks around the world raised concerns about the capabilities of advanced models and the threat posed to global internet infrastructure.
Tencent said it filtered out content during training such as exploit development, reverse engineering, and penetration testing to limit Hy4's potential "offensive" capabilities.
Moonshot AI last month limited its newest model's cyber-offensive capabilities, as Chinese AI firms join US companies to prevent loss-of-control risks.
"We recognize the potential safety risks posed by advanced cyber and biological capabilities, and we are committed to a more responsible approach to model training, open-sourcing, and release," Tencent said in a statement.
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