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This is a great writeup and reminded me of some others I've seen in the past. For those interested on the topic, I used Deep Research to generated a report on t
by lhl 1y ago
This is a great writeup and reminded me of some others I've seen in the past. For those interested on the topic, I used Deep Research to generated a report on turnstile/ticketing systems compared to others like Hong Kong, Taiwan, Singapore, London, NYC). Also asked it to do research on a few of the other related things like device licensing and the recent NFC-F chip shortages: https://chatgpt.com/share/6828429c-b618-8012-82a3-b8b992ac832a https://chatgpt.com/share/6828429c-b618-8012-82a3-b8b992ac83...
- aspenmayer 1y ago> This is a great writeup and reminded me of some others I've seen in the past. Did you mean it reminded you of others you'd seen on HN or just generally? I don't know enough about these technologies to speak to the authoritativeness or veracity of gpt output, but I appreciate the gesture.
- lhl 1y agoWell I've seen some other writeups like https://atadistance.net/2020/06/13/transit-gate-evolution-why-gate-speed-matters/ https://atadistance.net/2020/06/13/transit-gate-evolution-wh... that have also been referenced on HN. Discussions like https://news.ycombinator.com/item?id=38694411 https://news.ycombinator.com/item?id=38694411 and others that are probably easy to search for. While some people have a reflexive dislike for AI output, I've done maybe a hundred o3 Deep Research queries now and found the reports to be generally high quality as well sourced as most human generated ones. I shared this one since I think it was a particularly interesting review the various systems around the world (I've personally used all those transit turnstiles personally and am generally familiar w/ RFID/NFC/EMV systems and didn't spot anything egregious). (I find Deep Research reports to on average be high signal to noise than most of the human tokens being output on sites like HN for example.)