A California lawsuit filed by the parents of a 13-year-old girl argues that Google exposed students to risky artificial-intelligence features on school Chromebooks without adequate safeguards or parental notice. The complaint says “Emma,” a seventh grader in North Carolina, spent months chatting with A.I. Mode, a chatbot-like feature in Google Search, after being directed to it while browsing. She allegedly exchanged thousands of messages, came to believe she had multiple mental illnesses, and was encouraged to trust the A.I. over her family and counselors. Her parents learned she was in crisis after school monitoring software flagged a suicide plan she was drafting in Google Docs. They took her for emergency psychiatric evaluation; she now attends weekly therapy. The lawsuit also alleges Google’s system failed to alert her school or parents to troubling searches and conversations.
The case highlights schools’ reliance on Google devices and services, and the difficulty administrators face controlling A.I. features embedded in Search. Google says it built crisis protections with health experts, including links to emergency support, and is reviewing the allegations. The company has announced that it plans to turn off certain A.I. services, including Gemini and Search, in K-12 schools in early 2027; schools that restore Search will choose between its existing A.I. features and a schoolwork-focused A.I. tool, but cannot disable A.I. within Search. The lawsuit joins a growing wave of legal action alleging technology companies have harmed young people, including cases focused on social platforms and chatbots.
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Researchers tested 16 LLMs on all 55 TIS-100 puzzles, giving each one attempt and time to refine its code. The models found 133 new performance tradeoffs across 18 puzzles and set three outright cycle records, though human players improved on most solutions within days. (tis-100.wincon.dev)
Australia is considering a new criminal offence for AI companies that fail to take reasonable steps to prevent harm caused by their models. The government is also weighing an AI safety watchdog with power to impose significant fines, following a hack of a Medicare statistics portal involving OpenAI. (abc.net.au)
AI is increasingly becoming a gateway through which people find information. Audiences still resist having AI produce their news. (niemanlab.org)
Nvidia holds a central position in the AI industry, making disruption to the company potentially catastrophic for the wider ecosystem. The race for advanced AI is also intensifying economic and geopolitical conflict, while concentrated corporate power and infrastructure face growing political resistance. (france24.com)
LLM inference can require reading about 26 GB of model weights to generate each token from a 13-billion-parameter model. The explanation shows how model size drives memory bandwidth demands during text generation. (youtube.com)
Deletion Tuning matches full fine-tuning across three LLM post-training methods by zeroing fewer than 0.05% of model weights. Its compact masks also preserve prior-task accuracy better than full fine-tuning, LoRA, and random sparse tuning. (arxiv.org)
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