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Researchers at Meta FAIR and the University of Edinburgh have developed a new technique that can predict the correctness of a large language model’s (LLM) reasoning and even intervene to fix its mistakes. Called Circuit-based Reasoning Verification (CRV), the method looks inside an LLM to monitor its internal “reasoning circuits” and detect signs of computational…

The vibe coding tool Cursor, from startup Anysphere, has introduced Composer, its first in-house, proprietary coding large language model (LLM) as part of its Cursor 2.0 platform update. Composer is designed to execute coding tasks quickly and accurately in production-scale environments, representing a new step in AI-assisted programming. It’s already being used by Cursor’s own…

When researchers at Anthropic injected the concept of “betrayal” into their Claude AI model’s neural networks and asked if it noticed anything unusual, the system paused before responding: “I’m experiencing something that feels like an intrusive thought about ‘betrayal’.” The exchange, detailed in new research published Wednesday, marks what scientists say is the first rigorous…

Enterprise AI agents today face a fundamental timing problem: They can’t easily act on critical business events because they aren’t always aware of them in real-time. The challenge is infrastructure. Most enterprise data lives in databases fed by extract-transform-load (ETL) jobs that run hourly or daily — ultimately too slow for agents that must respond…

The moment Mack McConnell knew everything about search had changed came last summer at the Paris Olympics. His parents, independently and without prompting, had both turned to ChatGPT to plan their day’s activities in the French capital. The AI recommended specific tour companies, restaurants, and attractions — businesses that had won a new kind of…

Enterprises, eager to ensure any AI models they use adhere to safety and safe-use policies, fine-tune LLMs so they do not respond to unwanted queries.  However, much of the safeguarding and red teaming happens before deployment, “baking in” policies before users fully test the models’ capabilities in production. OpenAI believes it can offer a more…

In an industry where model size is often seen as a proxy for intelligence, IBM is charting a different course — one that values efficiency over enormity, and accessibility over abstraction. The 114-year-old tech giant’s four new Granite 4.0 Nano models, released today, range from just 350 million to 1.5 billion parameters, a fraction of…

Microsoft is launching a significant expansion of its Copilot AI assistant on Tuesday, introducing tools that let employees build applications, automate workflows, and create specialized AI agents using only conversational prompts — no coding required. The new capabilities, called App Builder and Workflows, mark Microsoft’s most aggressive attempt yet to merge artificial intelligence with software…

Data security company Fortanix Inc. announced a new joint solution with NVIDIA: a turnkey platform that allows organizations to deploy agentic AI within their own data centers or sovereign environments, backed by NVIDIA’s “confidential computing” GPUs. “Our goal is to make AI trustworthy by securing every layer—from the chip to the model to the data,”…

GitHub is making a bold bet that enterprises don’t need another proprietary coding agent: They need a way to manage all of them. At its Universe 2025 conference, the Microsoft-owned developer platform announced Agent HQ. The new architecture transforms GitHub into a unified control plane for managing multiple AI coding agents from competitors including Anthropic,…