This veto document is shockingly lucid, I'm quite impressed with it despite my belief that regulation as a strategy for managing critical risks of AI is misguided.
tl;dr gavin newsom thinks that a signable bill needs "safety protocols, proactive guardrails, and severe consequences" based on some general framework guided by "empirical trajectory analysis", and also is mindful of the promise/threat/gravity of all the machine learning occurring in CA specifically. He also affirms a general appetite for CA to take on a leadership role wrt regulating AI. My general read is that he wants to preserve public attention on the need for AI regulation and not squander it on SB 1047 specifically. Or who knows I'm not a politician lol. Really strong document tho,
Interesting segment:
> By focusing only on the most expensive and large-scale models, SB 1047 establishes a regulatory framework that could give the public a false sense of security about controlling this fast-moving technology. Smaller, specialized models may emerge as equally or even more dangerous than the models targeted by SB 1047 - at the potential expense of curtailing the very innovation that fuels advancement in favor of the public good.
> Adaptability is critical as we race to regulate a technology still in its infancy. This will require a delicate balance. While well-intentioned, SB 1047 does not take into account whether an Al system is deployed in high-risk environments, involves critical decision-making or the use of sensitive data. Instead, the bill
applies stringent standards to even the most basic functions - so long as a large system deploys it. I do not believe this is the best approach to protecting
the public from real threats posed by the technology.
This is an incisive critique of the fundamental initial goal of SB 1047. Based on the fact that the bill explicitly seeks to cover models whose training cost was >=$100m & expensive fine-tunes, my initial guess about this bill was that it was designed by someone software engineering-minded scared of e.g. open-weight releases a la facebook/mistral/etc teaching someone how to build a nuke or something. LLMs probably replaced the ubiquitous robot lady pictures you see in every AI-focused article as public enemy number one, and the bill feels focused on some of the technical specifics of this advent and its widespread use. This focus blinds the bill from addressing the general danger of machine learning however, which naturally confounds regulation for precisely the reason plain-spoken in the above four sentences. Incredible technical communication here.