In response to LinkedIn News editor Tanya Dua’s invitation to share perspectives on the debate around “open” versus “restricted” AI models, I would like to offer my personal viewpoint.
The discussion around Anthropic’s position — as the only major AI company that has not signed the industry letter urging Washington not to restrict open-weight AI models — highlights a broader challenge facing the AI community: how to balance innovation with responsibility.
AI is clearly bringing a new revolution to science and technology. Without embracing AI, we risk falling behind. In fields such as protein design and drug discovery, AI is already transforming how researchers understand biology, accelerate discoveries, and develop new therapeutics.
In my view, Anthropic’s stance reflects the difficult balance the AI industry faces between openness and safety. Open-weight models can accelerate innovation, research, and competition, but increasingly powerful AI systems also bring legitimate concerns about misuse and unintended consequences.
I do not see this as simply a debate between “open” and “closed” AI. The more important question is how we can encourage innovation while establishing reasonable safeguards to protect society.
Strong transparency, independent evaluation, and responsible governance may provide a path where AI development remains open enough to benefit researchers and developers, while ensuring that safety and human interests remain central.