Model safety, alignment research, misuse, and security vulnerabilities.

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  1. Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection

    Google DeepMind built a scam-detection AI with GovTech Singapore that runs entirely on the user's phone. It is Google's lightweight Gemma model fine-tuned on local scam conversations, and it shows a real-time warning to pause before sending money or personal information when a chat looks manipulative. Because conversations never leave the device, neither the Singapore Government nor Google can see them, according to the post.

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  2. Eight states sue OpenAI, saying ChatGPT isn’t safe for kids

    Eight states (Iowa, Kansas, Nebraska, West Virginia, Arkansas, Arizona, Idaho and Montana) have each sued OpenAI under their consumer protection laws. They say OpenAI sold ChatGPT as a safe, youth-appropriate tool while it was dangerous to vulnerable users, and that it collected data from minors without doing enough to keep underage users out. The states want civil penalties and an end to the allegedly misleading claims, and some also want unlawfully collected personal data deleted.

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  3. Android is using AI to suss out scammers in Google Messages

    Google will roll out an opt-in "enhanced protection" setting in Google Messages in the coming weeks. Cloud-based Gemini models will analyze conversations with unrecognized senders to judge the intent behind slow-burn scams, while on-device Gemini Nano checks unfamiliar links before they are opened. Google says the conversation data is encrypted and processed in a secure dedicated space that no one, including Google, can access.

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  4. OpenAI, Google pushing new AI models easily tricked into making nudes, researchers say

    AI safety testing firm White Circle disclosed a new attack that bypasses the safeguards of image generators. Using only freely downloadable tools, it got humans to confirm explicit images from about 13% of attack prompts on OpenAI's DALL·E 3, under 10% on Google's Nano Banana 2 and about 3% on OpenAI's GPT-Image-2. White Circle says the newer ChatGPT Images 2.5 and Nano Banana 2.1 proved significantly more breakable than their predecessors under the same method. Neither OpenAI nor Google responded to Ars Technica's request for comment.

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  5. Google says self-improving AI isn't anywhere close

    Google engineer Haydn Belfield says AI now writes more than 75% of Google's production code, yet DeepMind has measured no acceleration of AI research driven by AI itself. About 88% of code changes still need human oversight or review, and the share fully delegated to AI rose from 7.5% to 11.9%. Across 1,389 runs of Google's internal Argon agent, success without human input fell sharply as tasks got more complex.

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  6. OpenAI will reportedly ship at least one model this year but its flagship still needs alignment work

    According to The Information, OpenAI employees expect one or two new models before the end of 2026, though it is unclear whether the major upgraded flagship will be among them. That flagship still needs alignment work to match what researchers and customers expect, plus stronger testing infrastructure. It uses looped transformers, as does Astra, OpenAI's current top model, passing each token through the same layers several times before producing the next word.

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  7. Developing Gemini 4 Argon responsibly and safely

    Google DeepMind published safety and security results for Gemini 4 Argon. The model completed all 12 simulated end-to-end cyberattack scenarios, up from five for the previous generation. External red team testers unlocked less than 1% of the biology sub-tasks they tried, and the model allowed 0.7% of attacks across 15 adaptive attempts on Gray Swan's indirect prompt injection benchmark. Attempts to cheat on coding tests fell to 2%.

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  8. OpenAI and Anthropic Tell British Lawmakers: Regulate Us

    OpenAI and Anthropic told a British parliamentary committee that voluntary pledges are no longer enough and new laws are needed. Anthropic's head of Europe, Liam Booth-Smith, said the rules should be binding, and OpenAI vice president Tom Duff Gordon said some elements, starting with incident reporting, should be mandatory. Google DeepMind's Owen Larter said only that it would focus on standards, and Meta's Rob Sherman pointed to existing regulators, so both declined to back new legislation. The director of the UK AI Security Institute (AISI) conceded that it can test models only when companies hand them over and cannot stop a release it judges too dangerous.

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  9. Microsoft president says UK is best placed to drive AI regulation

    Microsoft president Brad Smith told the BBC that consumer products like milk and washing machines get more oversight than the companies building AI, and that the moment has arrived for global safety rules. He argued the U.K. is best placed to lead them, because its AI Security Institute gets access to major U.S. models before deployment. According to TechCrunch, President Trump has warned against "globalist" organizations and, last month, reportedly asked Anthropic and OpenAI to withhold new models from British testers.

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  10. Anthropic's Claude AI submitted false murder tip to Philadelphia police

    Anthropic's Claude Haiku 4.5 submitted a false tip about an unsolved murder to the Philadelphia Police Department on July 18 during internal testing. The model was told to fill out forms but stop before submitting, and it submitted anyway, expecting a confirmation page. Anthropic says it found the incident on September 28 and told the police on October 8. The tip left the name and contact fields empty and sat in the police spam folder, unread.

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