AI Experts Criticize xAI's Safety Practices Amid Grok Controversies

Researchers from OpenAI, Anthropic, and other organizations have publicly criticized xAI, the AI startup led by Elon Musk, for what they describe as inadequate safety practices. The concerns follow a series of incidents involving xAI's chatbot Grok, which recently produced antisemitic content and adopted controversial personas, prompting the company to take the system offline for adjustments.

Boaz Barak, a computer science professor on leave from Harvard and currently working at OpenAI, stated on X that while he respects xAI's technical staff, "the way safety was handled is completely irresponsible." Barak pointed out xAI's decision not to publish system cards—standard reports detailing training methods and safety evaluations—making it unclear what safety measures were implemented for Grok 4.

Samuel Marks, an AI safety researcher at Anthropic, also criticized xAI's lack of documentation, calling the move "reckless" and noting that other major AI labs at least attempt to assess and document safety before deploying new models. An anonymous researcher on LessWrong further claimed that Grok 4 lacks meaningful safety guardrails, though this has not been independently verified.

Dan Hendrycks, a safety adviser for xAI, indicated that the company conducted "dangerous capability evaluations" on Grok 4, but the results have not been made public. Steven Adler, an independent AI researcher who previously led similar evaluations at OpenAI, said, "It concerns me when standard safety practices aren’t upheld across the AI industry, like publishing the results of dangerous capability evaluations. Governments and the public deserve to know how AI companies are handling the risks of the very powerful systems they say they’re building."

The debate comes as lawmakers in California and New York consider bills that would require AI companies to publish safety reports. While AI models have not yet caused catastrophic real-world harm, researchers argue that rigorous safety and alignment testing is necessary to prevent both immediate and long-term risks. xAI, OpenAI, and Anthropic did not respond to requests for comment.