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Common Sense Media is raising serious alarms about ChatGPT for Teens, saying the chatbot poses unacceptable risks to young users. After extensive testing, the child safety organization found it failed in five key areas — a finding that puts real pressure on OpenAI to answer hard questions about who its products are actually designed to protect.
On a broader scale, a coalition of research institutions has pledged one point eight billion dollars to build biological data infrastructure ready for AI analysis. The Virtual Biology Initiative aims to make the messy, fragmented world of life sciences research more legible to machine learning systems — an investment that could reshape how we discover drugs and understand disease, if the data actually holds together in practice.
And for developers leaning on AI coding agents, a candid new post from Hatchet argues those tools don't just speed up your work — they accelerate your mistakes too. Murphy's Law, the idea that anything that can go wrong will, turns out to scale remarkably well with automation. The piece is a useful reminder that moving faster only matters if you also know when to slow down.
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