OpenAI has dissolved the team created to research how to control a future superintelligence. The decision comes as its two leaders, Ilya Sutskever and Jan Leike, leave the company, with Leike questioning OpenAI's safety priorities.
OpenAI is bringing Sam Altman back to its board after WilmerHale’s review of his November ouster. The investigation found product safety was not the main cause of the crisis.
OpenAI has unveiled Sora, an AI model that generates videos up to 60 seconds long from text prompts. The company is testing it with safety experts and creatives before deciding how and when to make it available.
Artificial intelligence (AI) is a blend of techniques that converge towards a common goal: endowing machines with cognitive abilities that mimic, and even su...
The White House now requires developers of the most powerful models to share safety test results with the government before release. It's Washington's most ambitious regulatory move on artificial intelligence to date.
OpenAI unveils a corporate version of ChatGPT with stronger security, unlimited GPT-4 access and a context window four times larger. The company says it won't use customer data to train its models.
The four leading generative AI labs have joined forces in an industry body to share safety best practices for developing frontier models — the most advanced and powerful AI systems available today.
Amazon, Anthropic, Google, Inflection AI, Meta, Microsoft and OpenAI committed to the Biden administration on Friday to subject their models to safety testing and to label AI-generated content. It's not a law—it's a promise with no penalty for breaking it.
Anthropic has announced a $450 million funding round led by Spark Capital to develop Claude. The investment strengthens one of OpenAI’s leading rivals in language models, with a stated focus on safety.
The current landscape of cybersecurity is a fertile ground for the adoption of advanced artificial intelligence (AI) technologies, particularly machine learn...
General artificial intelligence (GAI) represents the pinnacle of computational engineering: software entities capable of understanding, learning, and acting ...
Privacy and security in AI are distinct problems with distinct defenses: protecting the data that feeds models, and protecting the model against attacks such as prompt injection. We map the real risks, why federated learning does not guarantee privacy on its own, and what the EU AI Act and the NIST framework already require.
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