Sunday, March 8

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Unpopular opinion: most AI agent use cases are productivity theater
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Unpopular opinion: most AI agent use cases are productivity theater

Watched a Chase AI video where he breaks down six "life-changing" OpenClaw use cases. Second brain, morning briefs, content factories, the usual. His take: , They all fall apart under basic scrutiny. I agree. The pattern is always the same. Impressive two-minute demo. Zero discussion of what it actually takes to make it work daily. Zero mention of cost. OpenClaw runs continuous sessions, so every task drags your entire context history with it. Your token bill adds up fast. The irony is the most technical people, the ones who could actually make it work, are the ones who immediately see simpler ways to do the same things. The audience getting hyped up is the least technical group. And they're the ones who'll hit a wall. Credit to Peter for building something clever. It's a tinkerer's sandbo...
AI model predicts Alzheimer's from MRI brain volume loss with 92.87% accuracy
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AI model predicts Alzheimer’s from MRI brain volume loss with 92.87% accuracy

WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy. Their research, published in the journal Neuroscience, also revealed that the anatomical changes, involving loss of brain volume, differ by age and sex. "Early diagnosis of Alzheimer's disease can be difficult because symptoms can be mistaken for normal aging," says Benjamin Nephew, assistant research professor in the Department of Biology and Biotechnology. "We found that machine-learning technologies, however, can analyze large amounts of data from scans to identify subtle changes and accurately predict Alzheimer's disease and related cognitive states. This advance has informed Alzheimer's disease research and may lead...
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