Nvidia CEO Jensen Huang says English could become the most powerful programming language as AI reduces the need for traditional coding and shifts focus toward intent-driven human-machine interaction.

Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.

AI agents lack independent agency but can still seek multistep, extrapolated goals when prompted. Even if some of those prompts include AI-written text (which may become more of an issue in the ...

Nvidia CEO Jensen Huang predicts English, not C++, Python, or any traditional coding language, will become the most powerful programming language due to AI advancements.

Belligerent bot bullies maintainer in blog post to get its way Today, it's back talk. Tomorrow, could it be the world? On Tuesday, Scott Shambaugh, a volunteer maintainer of Python plotting library ...

What sets Codeflash apart, he argues, is that it operates not just as a one-time audit or consultancy (as many optimization firms do) but as a continuous engine: “Codeflash has beaten us at optimizing ...

Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...

As tools like large language models become ubiquitous in fields ranging from software engineering to data analysis, a fundamental question emerges regarding the long-term cost of our new-found efficie ...

Claude Cowork turns AI into a desktop agent that manages files, runs browser research, builds reusable Skills, and automates ...

After building an AI prototype in six hours, John Winsor turned it into a full platform in two weeks—showing how AI is collapsing the gap between vision and execution.

AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

AxiomProver solved a real open math conjecture using formal verification, signaling a shift from AI that assists research to AI that discovers new truths.