Browsing: model

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate. Watch Video Adam Zewe|MIT News Publication Date: October 23, 2026

There has been an explosion of AI-powered products released over the past four years, with most built on top of leading foundation models. Startups, enterprise software vendors, and even large incumbents route their core intelligence through APIs from the leading AI labs, and a growing but still narrow set of open-weight alternatives.

For a machine learning engineer, deploying a model should be a straightforward step toward putting it to work. Behind that request, however, sits a chain of infrastructure systems, each capable of delaying or stopping the rollout. At LinkedIn, Ankur Gupta made those connections the focus of a reliability transformation that changed how teams diagnosed failures,…

Reflection AI introduced Beam, an open-weight model for agentic coding and long-horizon tasks such as maintaining code, using tools, interpreting results, and completing multi-step workflows. The open-weight release gives developers and researchers control over the runtime, deployment environment, and customization process.

Vercel data published on Thursday shows that, within two weeks of its launch, the buzzy decision model was being used by 35% of paid teams, with nearly double the reach of the second most popular model, Sonnet 5.5. It’s the fastest adoption a model has ever seen in its first two weeks, according to Vercel’s…

Two companies that spent years fighting over privacy just announced they’re working together. Apple and Meta have collaborated to run Meta’s Muse Spark Open, an 816-billion-parameter AI model, locally on Mac Studio computers, allowing prompts, files, and outputs to be processed on the local hardware rather than sent to a hosted inference service. For developers…