Lawrence Person's BattleSwarm Blog 11/10/2025
Remember when Google was a world-leading corporation whose motto was “don’t be evil”, universally trusted for Internet searches, branching out into other businesses and could seemingly do no wrong? You may not, since that was a good 15-20 years ago. Since then, Google has done plenty of evil to lose our trust, from spinning up useful services only to allow them to be killed off a few years later to letting itself be infected with social justice to ruining search results to plump ad revenues.
Now Google is infecting itself with AI across all its divisions, and the results are disasterous.
In the course of doing my Dick Cheney obit, I brought up this on Google:
No, Cheney didn’t vote for Kamala in 2020, and indeed only announced outright opposition to Trump after January 6. Google’s AI garbage has conflated the 2020 and 2024 presidential elections.
This is far from the first time Google’s AI systems have made mistakes.
There’s the assault allegations it invented against Republican Senator Marsha Blackburn of Tennessee.
A whole bunch of YouTube channels were banned based on the actions of completely unrelated channels, and the creators blamed AI. YouTube eventually restored them and denied AI was involved, but does anyone really believe anything Google/YouTube says anymore?
But Google AI is definitely improving one thing: malware.
Google’s Threat Intelligence Group (GTIG) is warning that bad guys are using artificial intelligence to create and deploy new malware that both utilizes and combats large language models (LLM) like Gemini when deployed.
The findings were laid out in a white paper released on Wednesday, November 5 by the GTIG. The group noted that adversaries are no longer leveraging artificial intelligence (AI) just for productivity gains, they are deploying “novel AI-enabled malware in active operations.” They went on to label it a new “operational phase of AI abuse.”
Google is calling the new tools “just-in-time” AI used in at least two malware families: PromptFlux and PromptSteal, both of which use LLMs during deployment. They generate malicious scripts and obfuscate their code to avoid detection by antivirus programs. Additionally, the malware families use AI models to create malicious functions “on demand” rather than being built into the code.
More:
https://www.battleswarmblog.com/?p=68554
