Chinese artificial intelligence startup MiniMax today announced the release of M2.1, a significantly enhanced performance for real-world complex tasks and agentic capabilities across more programming ...

Since 2013, there have been metaphorically for programmers to build annual rankings of the world’s most popular programming languages. The rankings have traditionally relied on public signals such as ...

My little theory is that the concept of “imprinting” in psychology can just as easily be applied to programming: Much as a baby goose decides that the first moving life-form it encounters is its ...

Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In ...

We did an informal poll around the Hackaday bunker and decided that, for most of us, our favorite programming language is solder. However, [Stephen Cass] over at IEEE Spectrum released their annual ...

Rust mascot Ferris the crab welcomes attendees to RustConf 2025 in Seattle, where the community marked the 10th anniversary of the open-source programming language’s first stable release, and ...

Hedge funds will go to great lengths in pursuit of profits, whether it is by counting cars in satellite photos of parking lots or shipping gold across the Atlantic. Building a compiler—a piece of ...

Jensen Huang said people programming AI is similar to the way "you program a person." Speaking at London Tech Week, the Nvidia CEO said all anyone had to do to program AI was "just ask nicely." He ...

What if you could turn your ideas into working code simply by describing them in plain language? Imagine skipping the tedious syntax, the endless debugging, and the steep learning curve of traditional ...

When you're writing code, you're laying out instructions on what you'd like to see on the app you're building or the website you're designing. But there are a number of coding languages to choose from ...

At RSAC, a security researcher explains how bad actors can push LLMs off track by deliberately introducing false inputs, causing them to spew wrong answers in generative AI apps. When the IBM PC was ...