AI Leaders Call for Regulation While Accelerating Open Innovation
Peter Diamandis pointed out that AI CEOs building the most powerful technologies are calling for regulation, Demis Hassabis advocates for the establishment of an AI FINRA, Sam Altman proposed international governance to the G7, and Dario Amodei co-signed; at the same time, Mira Murati released the first open-source weight model with 975 billion parameters.
Liquid AI's post-Transformer architecture has been deployed on over 1 million devices, supporting everything from smartphones to F-35 fighter jets; the White House links the U.S. open-source release cap to the best models in China; the Prime Minister of Malaysia launched AI clones in 135 languages to govern itself; China's open-source models lag behind the U.S. by about 7 months.
AI governance and technological iteration are proceeding in parallel, with capital concentrating on open-source models and edge deployment, while regulatory discussions may delay the U.S. lead, benefiting China and emerging markets from open access.
Source: Public Information
ABAB AI Insight
AI CEOs, such as Sam Altman, have repeatedly pushed for a global regulatory framework in public, and this call continues the industry's shift from rapid expansion to seeking legitimacy moats, while open-source innovation has not stalled.
On the capital front, resources continue to flow into parameter scale and new architecture research and development, with companies like Liquid AI expanding application scenarios through edge deployment, motivated to seize the window before regulation takes effect, strategically balancing governance demands with technological leadership.
Similar to early internet companies calling for regulation to solidify their position, this round of AI is in a parallel phase of governance framework formation and the explosion of post-Transformer architectures.
Essentially, this is a change in regulation: industry leaders actively promote international and domestic governance while accelerating open-source and deployment, with the mechanism being that regulation can reduce the risk of disorderly competition and establish entry barriers, allowing leading capital and technology to further concentrate, while emerging architectures challenge the traditional dominance of Transformers.
ABAB News · Cognitive Law
When the strong call for regulation, they often have already locked in technological leadership.
The speed of open-source will always outpace the implementation of regulation.
Edge deployment capability determines the true breadth of AI adoption.