AI News, 24 October 2026

The 2 most significant AI stories of the day, selected and summarised automatically by AI. Each links to the original reporting.

1. Research

   Grok Picks GOP, GPT Picks Dems in 90% of Races

   auto_awesomeAI Summary

   A new study tested Grok and OpenAI's GPT across nearly 500 election races, finding the two models disagreed on candidate recommendations more than 90% of the time. Grok overwhelmingly favoured Republican candidates, while GPT leaned toward Democrats. The findings raise urgent questions about political bias baked into large language models used by millions of voters.

   Why it matters: As voters increasingly turn to AI assistants for information, politically skewed recommendations could subtly influence electoral behaviour at scale — a form of influence far harder to detect than a campaign ad. This study highlights that model training data, fine-tuning choices, and RLHF processes can embed political bias without explicit intent. AI developers face growing pressure from regulators and the public to audit and disclose how their models handle politically sensitive queries. Expect this research to accelerate calls for mandatory bias reporting standards ahead of major election cycles.

   Read the original at TechCrunch AIKey takeaways & FAQ

2. Policy

   Pennsylvania Mandates Labels on AI-Generated Ads

   auto_awesomeAI Summary

   Governor Josh Shapiro signed the Artificial Intelligence Deceptive Advertising Act into law, mandating that any ad significantly modified or generated by AI must carry a visible disclosure label. The law covers all ad formats including images, video, audio, and text. This marks a significant step toward regulated transparency in AI-generated commercial content at the state level.

   Why it matters: Pennsylvania's law sets a precedent that other states are likely to follow, accelerating a patchwork of state-level AI regulations that advertisers and agencies will need to navigate simultaneously. For brands and marketing teams using generative AI tools, compliance workflows will need to be built into production pipelines immediately. The definition of 'significantly modified' will be a critical legal battleground, as vague thresholds could expose companies to litigation even for minor AI-assisted edits. Regulators and industry bodies will be watching enforcement closely to see whether disclosure requirements actually shift consumer trust or simply become overlooked boilerplate.

   Read the original at The Verge AIKey takeaways & FAQ