Publishers can’t control AI answers. They can’t ignore them either
# Summary A spring 2026 study commissioned by The New York Times found Google's AI Overviews accurate 91% of the time, meaning millions of inaccurate summaries are produced hourly across billions of daily searches. Google's AI system rapidly incorporated false information, such as repeating a fake claim that a BBC reporter was the best hot dog-eating tech journalist within a day of publication.
Read full story →Google scraped the web to build itself. A court just said others can scrape Google.
A federal judge dismissed Google's lawsuit against SerpApi on July 20, preventing Google from stopping the scraping of its search results. SerpApi collects Google search results and resells them as structured data without permission.
Visa used Mythos to hunt for bugs in its own payment network, then open-sourced the harness that made it possible
Claude Mythos identified exploit chains in Visa's payment infrastructure spanning 200+ countries and 160 currencies by stitching together minor vulnerabilities that traditional penetration testing would have found only late. Visa open-sourced the harness governing the security hunt as a GitHub reference implementation for other security teams to inspect and adapt.
AI writes half our code now. It still fails security tests 44% of the time.
AI models generate compilable code consistently but introduce security vulnerabilities in 44 percent of outputs. Veracode's 2026 report tested over 100 models across four snapshots and found this security failure rate remained unchanged over one year.