When a worker thread completes a task, it doesn't return a sprawling transcript of every failed attempt; it returns a compressed summary of the successful tool calls and conclusions.

With zero coding skills, I was able to quickly assemble camera feeds from around the world into a single view. Here's how I did it, and why it's both promising and terrifying for all of us.

A friend generated a Windows 11 “Bloom” wallpaper using Windows Central’s colors, and it hit me right in the nostalgia.

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...

Abstract: Image Coding for Machine (ICM) aims to compress an image so that the reconstructed one can meet the requirements of both human vision and machine vision. Existing methods apply the ...

Vibe coding has moved fast from kicking the tires to something people are using to build real software. But now the question ...

Anthropic’s AI-powered computing-coding agent Claude appears easily capable of competing with one of IBM’s core businesses. Worries of this threat sent IBM stock careening on Monday. A deeper dive ...

Perplexity launches Computer, a $200-per-month AI agent that orchestrates 19 models from OpenAI, Anthropic, and Google — raising big questions about profitability, platform risk, and the future of ...

Abstract: Joint source-channel coding (JSCC) has achieved great success due to the introduction of deep learning (DL). Compared to traditional separate source-channel coding (SSCC) schemes, the ...

Anthropic today updated its Sonnet model to version 4.6, and the company says it is the most capable Sonnet model to date with upgrades across coding, computer use, long-context reasoning, agent ...