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FTC Sues Hims & Hers for Sharing Patient Data with Meta and Snap
The U.S. federal consumer watchdog said Hims & Hers, which prescribes for sexual wellness and mental health conditions, used website trackers to share customers' information with advertisers.
Thiel Capital's Jack Selby Invests in AI Startups via Arizona Connecti
Selby's VC firm, Copper Sky Capital, is currently raising a $300 million second fund, according to a regulatory filing.
Ferrari's First EV: Luce for China, Not Global
The Ferrari Luce seems to be more aimed at regulatory compliance and China, putting a lot of pressure on the Jony Ive-designed EV.
Preventing AI Model Collapse: The Need for Human-Generated Data
Im all for acceleration. I think the faster we hit AGI the better. but theres a bottleneck nobody here talks about enough-training data. right now we are quietly poisoning the well. More than half of online content is already synthetic. bots talking to bots, articles written by AI, reddit threads generated by LLMs. when the next generation of models trains on this they eat their own tail. model collapse is real. we saw it with image generators. Outputs get blander, weirder, less useful.we need a way to label or filter human-generated data. not because humans are better but because diversity prevents collapse. I know the standard solution sounds like a dystopian meme. biometric scanners, iris codes, hardware verification. and yeah maybe it is dystopian. but so is a dead internet where nothing can be trusted.Reddit CEO Steve Huffman put it simply recently - platforms need to know you're human without knowing your name. Face ID / Touch ID level stuff. im not saying that specific device is the answer. but the category of solution - proof of human that doesnt create a surveillance state - seems necessary if we want to keep scaling past the cliff.what do you think? Is proof-of-personhood just a regulatory speed bump, or is it infrastructure for the next generation of AI?curious where this sub lands.