As AI systems become capable of generating genuinely novel scientific results, determining who discovered something, who deserves credit, and what role the company behind the model played will become considerably harder.
The White House is moving forward with a voluntary framework for testing the cybersecurity capabilities and risks of advanced artificial intelligence models, though the standards guiding those evaluations remain classified.
According to the latest infrastructure research from Google Cloud, enterprises are encountering a sizable infrastructure gap as agentic AI systems move from experiments and pilots into production.
Microsoft has published a draft code of conduct that details how its homegrown AI models should behave, with human control taking priority over model capability, autonomy, and even task completion.