AI Lab

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with impressive efficiency. The new system, called Axiom, offers an alternative to the artificial neural networks that …

Wait though … Perplexity—like other AI search engines—has been criticized for hallucinating and getting things wrong. We welcome this criticism, because it’s the best way for us to continually improve. In reality, errors account for a small fraction of results, and our answers are far more accurate than 10 blue …

At a company-wide hackathon this month, developers at finance firm Block built a dizzying number of prototype tools including a database debugger, a program for identifying duplicated code, and an app that automates Bitcoin support. The sudden productivity boost was driven by Goose, an artificial intelligence agent developed by Block …

A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google DeepMind shows that with a few clever tweaks these models can at least surpass human expertise designing certain …

Amazon has developed a new warehouse robot that uses touch to rummage around shelves to find the right product to ship to customers. The robot, called Vulcan, is a meaningful step towards making robots less sausage-fingered compared to human beings. Honing robots’ tactile abilities further may allow them to take …

Researchers have trained a new kind of large language model (LLM) using GPUs dotted across the world and fed private as well as public data—a move that suggests that the dominant way of building artificial intelligence could be disrupted. Flower AI and Vana, two startups pursuing unconventional approaches to building …

So, there’s the training data. Then, there’s the fine-tuning and evaluation. The training data might contain all kinds of really problematic stereotypes across countries, but then the bias mitigation techniques may only look at English. In particular, it tends to be North American– and US-centric. While you might reduce bias …