Anthropic's Mythos Preview was highly effective at finding vulnerability candidates, especially when analyzing source code.

Perplexity CEO Aravind Srinivas introduced a groundbreaking “search as codegen” system, enabling AI agents to execute complex tasks through Python-based workflows.

Research by AppSec biz Checkmarx finds that 70 percent of developers believe AI-generated code has more vulnerabilities, and ...

Wiregrass recently wrapped up its Beats and Bytes Music Camp, where students explored the world of computer programming ...

It’s a weird time to be studying computer science. Recent grads have a higher unemployment rate than those in just about every other major—yes, even philosophy. The internet is littered with rants ...

THE idea was to do something more than just gather to celebrate with food and drinks at a hotel. In observance of the recent ...

Two contractors told Business Insider they earned up to $280 per hour on the ongoing project.

Perplexity launches Bumblebee: How its new read-only dev scanner differs from Chainguard ...

For many schools, it’s a race to keep up. Others are leading the pack. And some are unsure what to do with it. Artificial ...

With automated proof-checkers, a problem can be broken up into small chunks, solved bit-by-bit, then reassembled with ...

Microsoft removed 73 repositories across its Azure, microsoft, Azure-Samples, and MicrosoftDocs organizations on GitHub, ...

Perplexity CEO Aravind Srinivas has announced a new search architecture for the company's AI agents, describing it as a shift from traditional web-fetching methods to what he calls “search as codegen.