SpaceXAI just released Grok 4.5. It may have broken California’s AI law in the process.
The potential violation by SpaceXAI, punishable by fines up to $1 million, will serve as an early test of whether California's new AI safety law actually has teeth.
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On Wednesday, SpaceXAI (formerly xAI) launched Grok 4.5, its most capable model to date. But what didn't ship was either a transparency report or a model card for the new model.
Under a California law that’s been in effect since the beginning of the year, that may be a problem.
California’s SB 53, passed in September of last year, requires companies like SpaceXAI to publish transparency reports with every major model release. These reports generally take the form of system cards. In addition to intended uses and restrictions, these reports must include summaries of risk evaluations conducted on the model, the results of said evaluations, the extent to which third-party evaluators were involved, and any other steps taken to comply with the developer’s frontier AI framework.
The system cards released by leading AI companies, including OpenAI and Anthropic, often total dozens or hundreds of pages. Meta’s newest model, released today, features a 112-page system card of this sort. SpaceXAI, however, has long been an outlier. Of the nearly 20 models that SpaceXAI has released, only a handful have been accompanied by anything resembling a model card, and these have sometimes been quite sparse.
The requirement to disclose a model card or equivalent is now active and enforceable under California law. Was SpaceXAI required to release one for Grok 4.5? It sure looks like it.
There are a few qualifying requirements to determine whether a model is covered under SB 53. The first is that the company is a large frontier developer, meaning it earns gross revenues in excess of $500 million a year. According to the recent SpaceX IPO filing, SpaceXAI recorded $3.2 billion of revenue in 2025, satisfying this first requirement.
The second requirement is that the model be a frontier model, which is to say that it was trained with a quantity of computing power exceeding 10^26 floating-point operations (FLOP). Without insider details about the training of Grok 4.5, it’s hard to say definitively whether it meets this requirement, but most signs point toward yes.
Grok 3, released in February 2025, is the first model that Epoch AI estimated to exceed the 10^26 FLOP threshold. Grok 4, released later that year, was estimated by Epoch to have exceeded the threshold by a factor of five. While recent trends in model training have sometimes entailed newer models using less total compute than their predecessors, it seems unlikely that Grok 4.5 (built on top of a brand-new, 1.5 trillion-parameter pretrain and trained across “tens of thousands of Nvidia GB300 GPUs”) experienced this downgrade to an extent that would have left the final post-trained model below the 10^26 FLOP threshold.
The last argument that SpaceXAI could make to contend that Grok 4.5 is not a covered model under SB 53 would be that the 4.5 model is based on earlier models in the Grok 4 line and therefore is not new, or in the law’s words, “substantially modified.” But this seems unlikely, and not just because of the new tier of capability improvements reached by 4.5. Elon Musk himself has admitted that the base model used for Grok 4.5 is different from the model used for Grok 4.3, the previous entry in the Grok 4 generation. In other words, despite the naming similarities with past SpaceXAI releases, Grok 4.5 represents a genuinely new model built from the ground up.
The safety page on SpaceXAI’s website, where the company details its safety practices and publishes its model cards (but which is also 100% AI-generated), currently makes the broad claim that SpaceXAI publishes “detailed model cards for each of our frontier models.” But, as mentioned earlier, SpaceXAI has not released system cards for the majority of the models it has released to date. In fact, in recent testimony, Elon Musk claimed under oath that he was “not sure what a safety card is.”
Will a system card eventually be released for Grok 4.5? It could happen. Grok 4’s eight-page system card was released six weeks after the release of the model itself. But SB 53’s requirement is that the system card be published “before, or concurrently with” the release of the model, meaning that even a weeks-delayed system card may still represent a violation of California’s new law.
The Midas Project has previously raised questions about the quality of SpaceXAI’s safety practices. We’ve also raised questions about potential early SB 53 compliance missteps from OpenAI and Google. But those missteps were small compared to this: the apparent absence of any serious safety effort for a brand-new model marketed by the company as approaching Fable-level coding performance.
To put a finer point on it, the Trump administration essentially demanded the removal of Anthropic’s Fable model from the market due to a jailbreak, even though the model was released with hundreds of pages of documented safety testing determining it to be fit for public access. Grok 4.5, meanwhile, is marketed as outperforming Fable on at least one coding benchmark, was released with no documented safety testing at all, and, only hours after release, was jailbroken, generating a Remote Access Trojan script alongside other harmful outputs.
I’m not holding my breath for the Trump administration to remove Grok from the market (for many reasons, including that I don’t believe Grok 4.5’s performance is actually competitive with Fable).
However, it does seem like a prime opportunity for California to show that its new AI safety law — a minimally burdensome statute asking only for transparency into the nature and extent of the safety testing conducted by the company — actually has teeth.
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We engage in a combination of research, outreach, and public advocacy to ensure that AI companies are meeting public expectations, and living up to their past promises, when it comes to ensuring responsible AI development and deployment.
The most important component of our work is helping to identify and disseminate industry best practices for AI development. We review technical literature, regulatory guidance, and case studies to distill concrete measures—such as frontier-model risk assessments, red-teaming requirements, audit regimes, and whistle-blower protections—and advocate for the most important voluntary steps that companies can take today to ensure they are acting responsible.
We also monitor whether companies follow their stated policies and industry norms. When evidence shows back-tracking or inadequate controls, we document these gaps and publicly press for corrective action—mobilizing employees, customers, and civil-society allies until the company adopts the necessary safeguards.
Finally, we publicize our research to help ensure the public is aware of how AI developers stack up on safety and responsibility. We release concise scorecards, incident analyses, and memos so that regulators, investors, and the wider public can see how individual developers perform on safety and responsibility.
Various AI experts including Nick Bostrom and Stuart Russell have compared the development of advanced AI to the myth of King Midas.
According to the legend, King Midas once asked a powerful satyr to make it so that whatever he touched instantly turned into gold. At first, he was thrilled with his new powers. But the King soon discovered that he couldn’t touch food, water, or even his family without instantly turning them to metal. In other words, the sudden attainment of an incredible power with insufficiently well-specified goals and safeguards led to a terrible tragedy.
Much like King Midas, tech companies are now eagerly pursuing incredible wealth and power by developing artificial intelligence, a technology that will change our world forever. But how will we know that it is designed in alignment with our collective human values? If we misspecify even a single goal or safeguard for these systems, how will we prevent them from causing an incredible catastrophe?
In the words of Stuart Russell, “If you continue on the current path, the better AI gets, the worse things get for us. For any given incorrectly stated objective, the better a system achieves that objective, the worse it is.”
The Midas Project is a nonprofit organization founded in early 2024 by Tyler Johnston. Our work is supported by a small core team and a wider base of volunteers and supporters. We are a nonprofit, tax-exempt, 501(c)(3) organization that relies on donations from the public.
No. One of our central values is a pro-technology attitude.
Progress in technology has improved lives for millions of people around the globe (after all, without it, we wouldn’t have penicillin, air conditioning, or the internet). Artificial intelligence is already being used by millions to help improve medicine, education, and overall living standards. We believe this progress should continue, and we hope AI will be a positive force in the world.
However, we are also realists — and skeptical realists at that. We believe advanced AI systems may be a “dual-use” technology that can be used for harm as well. In order to avert social inequality, concentration of power, or AI-driven catastrophes, everybody needs to have a voice at the table when decisions about development and deployment are being made.
Currently, the vast majority of these decisions about the future of AI are being made in shadowy corporate boardrooms with little oversight and accountability. That’s why The Midas Project is committed to raising awareness about the risks of AI, and ensuring that global citizens are given a chance to make their voice heard.
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