The reaction to DeepSeek has reminded me a lot of the car guys who were so dismissive of Japanese manufacturers saying they’d never match Detroit’s quality.
https://www.threads.net/@yannlecun/post/DFc5QyMO501
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This post by @genmon resonated: I recently used the AirPod hearing test which showed very low hearing loss on average but definitely a measurable drop on high frequencies. In both cases, it feels like a good opportunity to provide context using all of the other data they have: how does this compare to what's expected of others with your age & similar physical stats?
https://interconnected.org/home/2025/01/30/strava
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They've reached the level of American startups for sure:
https://www.wiz.io/blog/wiz-research-uncovers-exposed-deepseek-database-leak
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The massive data center builds in the AI race reminds me of the early years of radio where not having a solid theoretical basis meant people were using enormous amounts of power with hideously inefficient transmitters. https://mas.to/@ReverendMoose/113906092465487450
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“According to the study, published in JAMA Cardiology and led by researchers at Harvard, blood pressure readings measured while lying down were significantly better at indicating risks of cardiovascular disease, stroke, heart failure, and death than were seated blood pressure readings alone.”
https://arstechnica.com/health/2025/01/for-real-we-may-be-taking-blood-pressure-readings-all-wrong/
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I’m feeling better about our 2006 Subaru – every time I’ve driven a newer one, the computer has felt like the opposite of a selling point.
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Client-side MFA? 😵💫
https://samcurry.net/hacking-subaru
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This kind of perspective should be mandatory for all reporting on #AI environmental costs: yes, we should monitor but the average American would see far greater savings by reducing beef consumption or driving. https://andymasley.substack.com/p/individual-ai-use-is-not-bad-for
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“people think the long-in-development ITER fusion reactor will cost between $40bn and $70bn once developed (and it’s shaping up to be a 20-30 year project), so Microsoft is spending more than the sum total of humanity’s biggest fusion bet in one year on AI.”
https://jack-clark.net/2025/01/20/import-ai-396-80bn-on-ai-infrastructure-can-intels-gaudi-chip-train-neural-nets-and-getting-better-code-through-asking-for-it/
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