Flagged by the Machine: How Google Ads Suspended an Open

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-10-06T06:40:34.372Z • Permanent link

Przemyslaw Alexander Kaminski, a Polish software developer, has created RACE, a revolutionary Rust terminal multiplexer that operates on an infinite canvas, allowing users to detach child shells into background processes. This innovative tool has garnered significant attention from the technical community, particularly among researchers and developers working on advanced terminal-based applications. Kaminski launched an ad campaign to promote RACE, but his account was suspended by Google Ads for alleged malware.

According to Kaminski, his ad campaign was flagged by automated scanners, which detected a suspicious file on his system. However, an independent review of his system revealed that the file was a legitimate notarized zip file, which had been uploaded to his server months prior. This incident raises serious concerns about the accuracy of automated scanning systems and the potential for false positives.

Google Ads has been under scrutiny for its automated scanning systems, which have been criticized for their lack of transparency and accuracy. The company has faced numerous lawsuits and regulatory actions, including a recent investigation by the US Federal Trade Commission (FTC) into its data collection practices. The FTC has warned Google that its automated scanning systems must be more transparent and accurate, or face further regulatory action.

Kaminski's experience highlights the real-world impact of automated scanning systems on the technical community. RACE, a tool that has the potential to revolutionize the way developers work, has been unfairly targeted by Google Ads. This incident underscores the need for greater transparency and accuracy in automated scanning systems, particularly in the context of online advertising.

Several major companies, including GitHub and Stack Overflow, have already expressed concerns about the impact of automated scanning systems on their users. These companies have called for greater transparency and accuracy in these systems, and have warned that false positives can have serious consequences for developers and researchers. The incident highlights the need for greater collaboration between companies, researchers, and regulators to develop more effective and accurate automated scanning systems.

The broader implications of this incident are significant, particularly in the context of online advertising and data collection. Google Ads' automated scanning systems are used to detect and prevent malware, but these systems can also flag legitimate files and campaigns, leading to false positives. This can have serious consequences for developers, researchers, and businesses that rely on online advertising to reach their target audiences.