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Welcome back, Cubs 🐻. Schools are redesigning curriculum around AI tutors and copilots. Lenovo introduced Qira, an AI assistant designed to live across devices and anticipate user needs.
Today: An AI wearable by Amazon that moves from listening to acting, Stanford’s sleep research that shows how AI is reshaping medical prediction, and a new prompt.
AI MED
Stanford Built an AI Model That Predicts Disease Risk From Sleep Data
Stanford researchers released a new AI model called SleepFM that can estimate risk for 130 health conditions from just one night of sleep data.
The model was trained on ~585,000 hours of polysomnography recordings from 65,000+ people. Polysomnography is the clinical sleep study that tracks brain waves, heart rhythms, breathing, muscle movement and more.
Instead of using sleep data for its usual narrow tasks, SleepFM learns a multimodal representation of sleep physiology — the hidden signals in the night that relate to future disease risk.
SleepFM suggests that sleep contains a rich physiological fingerprint of future health. A single night’s data may reveal patterns long before symptoms arise. Stanford News. As AI moves into clinical settings, tools like SleepFM hint at a future where a sleep study does more than diagnose apnea. It could become an early warning system for broad health risks. Sleep data may become one of the most powerful, low-burden sources of health insight we have — if the science and clinical validation continue to advance.
AI HARDWARE
Inside Amazon’s AI Wearable
Amazon-owned Bee just rolled out new features that move its always-listening wearable from passive memory to active assistant. Bee is designed to turn daily conversations into summaries, reminders, and personal insights, all without storing raw audio. The biggest update is Actions, which lets Bee connect to your email and calendar so it can schedule meetings, draft follow-ups, and take care of tasks based on what you say throughout the day. It also introduced Daily Insights, a feature that analyzes behavior patterns over weeks to surface trends tied to habits, goals, or even relationship dynamics.
The company is leaning hard into privacy. Bee says audio is processed in real time and immediately deleted, with no recordings stored. Only derived text and insights remain. This is a clear signal of where AI wearables are headed. Less logging. More doing. Whether people are comfortable with an always-on AI quietly running their lives is still up for debate. The tech is not waiting for consensus.
Prompt Station
High Clarity Rewrite
Prompt: Take the text below and refine it for clarity, tone, and flow while preserving the original meaning, intent, and key details.
Remove awkward phrasing, redundancy, and filler
Improve sentence structure and transitions
Make it sound natural, confident, and human-written (not AI-ish)
Do not add new ideas, facts, or opinions
Maintain the original voice and level of formality
Constraint: Keep the final version under [X] words.
Output: Return only the improved text—no explanations or commentary.What did you think of today's email?
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