Teaching AI Models to Express Uncertainty

MIT researchers have developed a new training method that enables AI models to express uncertainty, significantly improving their reliability in decision-making contexts.

MIT researchers have developed a new training method that enables AI models to express uncertainty, significantly improving their reliability in decision-making contexts.

Anthropic's Mythos model, designed for vulnerability detection, faces scrutiny as early analyses question its capabilities and security implications.

The rise of AI in bug bounty programs is causing a significant increase in submissions, but also a surge in low-quality reports, challenging crypto protocols.

As Tim Cook prepares to step down, Apple faces a pivotal moment to redefine its corporate ethos and address growing concerns over privacy and competition.

NeuBird.ai is pioneering a new era in site reliability engineering with its agentic AI systems, designed to autonomously handle incident investigations and streamline operations.

Starting August 17, Atlassian will implement a new data collection policy affecting its global customer base, with implications for privacy and product development.

Cloudflare's new Agent Memory service addresses the challenges of context memory in AI interactions, allowing for efficient storage and retrieval of conversational data.

Anthropic's latest offering, Claude Design, aims to revolutionize visual asset creation by allowing users to generate designs through conversational prompts.

A recent exploit targeting Chrome's V8 engine was created using Anthropic's Opus AI model, highlighting potential risks for users of affected applications.

Stellantis has partnered with Microsoft to integrate AI into its vehicles, aiming to improve digital services, cybersecurity, and engineering efficiency over the next five years.