Latest from MIT Tech Review – Generative coding: 10 Breakthrough Technologies 2026

Generative AI’s ability to write software code has quickly created one of the technology’s first real use cases for business. Professional software engineers and novices alike are using AI coding assistants to produce, test, edit, and debug code, reducing the amount of time it takes to complete the often tedious steps required to finish projects….

Latest from MIT Tech Review – AI companions: 10 Breakthrough Technologies 2026

Chatbots are skilled at crafting sophisticated dialogue and mimicking empathetic behavior. They never get tired of chatting. It’s no wonder, then, that so many people now use them for companionship—forging friendships or even romantic relationships.  According to a study from the nonprofit Common Sense Media, 72% of US teenagers have used AI for companionship. Although…

Latest from MIT Tech Review – Mechanistic interpretability: 10 Breakthrough Technologies 2026

Hundreds of millions of people now use chatbots every day. And yet the large language models that drive them are so complicated that nobody really understands what they are, how they work, or exactly what they can and can’t do—not even the people who build them. Weird, right? It’s also a problem. Without a clear…

Latest from MIT Tech Review – Hyperscale AI data centers: 10 Breakthrough Technologies 2026

In sprawling stretches of farmland and industrial parks, supersized buildings packed with racks of computers are springing up to fuel the AI race. These engineering marvels are a new species of infrastructure: supercomputers designed to train and run large language models at mind-­bending scale, complete with their own specialized chips, cooling systems, and even energy…

Latest from MIT Tech Review – Meet the new biologists treating LLMs like aliens

How large is a large language model? Think about it this way. In the center of San Francisco there’s a hill called Twin Peaks from which you can view nearly the entire city. Picture all of it—every block and intersection, every neighborhood and park, as far as you can see—covered in sheets of paper. Now…

Latest from MIT : 3 Questions: How AI could optimize the power grid

Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging electricity usage of data centers that enable the training and deployment of the latest generative AI models. But it’s not all bad news — some AI tools have the potential to reduce some forms of energy consumption and enable cleaner grids….

Latest from MIT : Decoding the Arctic to predict winter weather

Every autumn, as the Northern Hemisphere moves toward winter, Judah Cohen starts to piece together a complex atmospheric puzzle. Cohen, a research scientist in MIT’s Department of Civil and Environmental Engineering (CEE), has spent decades studying how conditions in the Arctic set the course for winter weather throughout Europe, Asia, and North America. His research…

O’Reilly Media – The End of the Sync Script: Infrastructure as Intent

There’s an open secret in the world of DevOps: Nobody trusts the CMDB. The Configuration Management Database (CMDB) is supposed to be the “source of truth”—the central map of every server, service, and application in your enterprise. In theory, it’s the foundation for security audits, cost analysis, and incident response. In practice, it’s a work of…

Latest from MIT : Stone Center on Inequality and Shaping the Future of Work Launches at MIT

The James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work officially launched on Nov. 3, 2025, bringing together scholars, policymakers, and practitioners to explore critical questions about economic opportunity, technology, and democracy. Co-directed by MIT professors Daron Acemoglu, David Autor, and Simon Johnson, the new Stone Center analyzes the forces that contribute to growing…