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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
While delivery times will vary by region it would appear, Amazon has re-stocked the silver model Apple HomeView pre-order and does appear to be ready to get to your doorstep faster than Apple can.
You start with many models. Then you remove the weaker candidates, keep a smaller group of promising ones, and spend your main compute budget on those. That is usually the right thing to do.
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…
Anthropic has warned self-replication could become feasible for small AI models on internet-of-things (IoT) devices in just a matter of months.
Earlier this year, Bloomberg’s Mark Gurman revealed that Apple has a new M7-powered entry level MacBook Pro in the pipeline for spring 2027. This isn’t an ordinary MacBook Pro refresh though. It’ll bring the upcoming redesign down to the entry level, something that previously wasn’t expected.