Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.

How a discontinued legacy sparked a modern language built to last for decades — Ring emerged after Microsoft canceled ...

Researchers at Australian start-up Cortical Labs have taught human neurons grown on a chip to play the classic Doom game. In ...

A recent study from researchers at Anthropic, titled ‘How AI Impacts Skill Formation,’ provides a rigorous look into this ...

Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and ...

Anthropic research shows developers using AI assistance scored 17% lower on comprehension tests when learning new coding libraries, though productivity gains were not statistically significant. Those ...

IBM shares plummeted after AI startup Anthropic announced its tool can automate COBOL modernization, threatening IBM's core ...

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.

Dead languages aren't as unimportant as they seem, because learning Latin, Sanskrit and Ancient Greek will make coding easier ...

Software products are becoming structurally denser. Distributed architectures, asynchronous processing, multi-language ...

Java turned 30 in 2025. That's a good time to look back, but also forward.

Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from “hallucinating" random text in 2023 to gaining the approval of Linus Torvalds in 2026.