AI chatbots like Gemini, ChatGPT and Claude often store user conversations on company servers and use that data by default to train future AI models. Users can disable this training option and delete past activity, though turning off tracking does not automatically erase previously stored data. For Gemini specifically, users must disable both Google's Web & App Activity and Gemini's own Activity setting, then manually delete existing records.
OpenAI has introduced ChatGPT Work, a version of its assistant that goes beyond answering questions to actually performing multi-step tasks like browsing the web, managing files, and completing sequences of actions autonomously. The feature is available to both free and paid ChatGPT users, though paid tiers unlock greater capacity for agentic tasks.
Researchers highlight a stark 'data efficiency gap': large language models require orders of magnitude more text than a human child hears to master language basics. Stanford's Michael Frank and Georgetown's Ethan Wilcox note that while frontier models train on trillions of tokens, children pick up language fundamentals from a fraction of that input within their first year or two of life. Scientists are studying how kids achieve this to both understand human cognition and potentially inform more efficient AI training methods.
Pew Research analyzed 500,000 English-language webpages using an AI detection tool and found that 10% of all sampled pages showed significant signs of AI authorship. Among pages published after ChatGPT's release, that figure jumps to more than one-third, with .com domains showing roughly double the AI-signal rate of .org sites and ten times that of .edu or .gov domains.
OpenAI has rolled out a version of ChatGPT tailored for teenage users, prompting renewed scrutiny over how the company safeguards younger users from harmful content. Critics and safety advocates are questioning whether the age-specific controls are sufficient given ongoing concerns about AI chatbots' interactions with minors.
A landmark ruling by Judge William Alsup found that Anthropic's use of copyrighted books to train its AI models was lawful under fair use, even though the company was penalized $1.5 billion for obtaining those books through pirated shadow libraries. Attorney Cathy Gellis explains that the judge distinguished between illegally acquiring texts and the act of training an AI on them, comparing the latter to a writer studying literature rather than copying it.
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