Browsing: AI Guides

MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next.You can read more from the series here.

A specific kind of quiet follows a good validation run. Numbers on the screen, AUC at 0.91, and everyone nodding along in the morning meeting because, for once, nobody had a reason to ask a follow-up question.

In 2022, a small team of researchers ran an experiment that should have been unremarkable. They trained a tiny neural network, far smaller than anything that gets called “AI” today, on one of the simplest tasks imaginable: modular addition, basically clock math. What is 8 plus 7 if the clock only goes up to 12?…

Last Wednesday, Anthropic announced that earlier this year it had launched a molecular biology lab, where Claude agents read and conjecture about hard biology problems and human scientists run experiments on what they report. And this AI-powered lab, the company said, had made its first discovery. 

AI is increasingly being used in business, technology, and daily tasks to make processes smarter and faster. Organizations rely on it to analyze data, improve customer experiences, and support better decision-making.

Data science is a booming market, and organizations worldwide are hiring professionals who can translate raw data into meaningful insights that drive better decisions. According to the U.S. Bureau of Labor Statistics, employment for data scientists is expected to grow 34% over the next decade.

Modern AI coding agents can implement a specification and produce a passing test suite in the same workflow. The problem is that both the code and the tests come from the same reading of the same ambiguous sentences, which means the tests cannot disagree with the implementation. This breaks the core rule that makes Verification…

Everyone (myself included) seems obsessed with what AI can and cannot do, and where we should draw the line between using our own brains and delegating work to machines. In the process, we sometimes forget that AI is only one piece of a much larger technology landscape. If you aspire to become a technologically sophisticated…

I spent years studying general relativity theory since the beginning of my PhD student life. One of the things that make GR different from classic mechanics is:

There’s a category error that shows up in many LLM systems: We retrieve a few documents, put them in context, generate a fluent answer with links, and then we call the answer “grounded.”