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Joined 3 years ago
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Cake day: June 20th, 2023

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  • This is anecdotical but I moved into an apartment with a 30 year old ionizing smoke detector, and the failure was it was too sensitive, I assume because there were less electrons being emitted from the radioactive element, any faint smoke caused it to go off. Eventually it got into a state where it would always be in an alert state, and was beeping 100% of the time, which was when the landlord finally replaced it.

    My assumption with the 10 year replacement recommendation for Americium based smoke detectors is to replace it before it becomes too sensitive and annoying, because they were worried some people would remove the battery and just live without an active smoke detector.



  • If I were to use an LLM, it would not be to actually upload the PDF and generate the excel document, you’re guaranteed to have made up data if you ask it to do this. What I would do is ask an LLM to write a python script which uses OCR or some other programmatic way to extract the data from the PDF and put it into a CSV to be imported by Excel.

    If the PDF has some sort of data aggregation, like a column for a sum of the data in a row, then do not include that in the CSV output, and have excel do the calculation based on the data the script imported. Then you just have to manually check that the values of that column match the PDF to know if there is any wrong data. Obviously if multiple fields are adjusted by bad OCR but negate each other, the sum column would look accurate while the bad data persists, so some more spot checking or additional aggregation would be needed to ensure confidence with the numbers.












  • I would hope that in 25-50 years from now, gendered locker rooms and bathrooms will be a thing of the past, and slowly replaced with individual unisex stalls. Maybe for high volume places (like a stadium or airport) there will still be bathrooms with a wall of urinals, but those will probably not be labeled “men’s” and will just be urinals.



  • With P2P file sharing, your client is sharing the files with random people on the internet and you’re identified by your IP address (or a VPN IP address / seedbox IP address / etc). MPAA hires companies to check for popular content and log the IP address, time, and content shared, and then sends that to the ISP. The risk and issue is sharing content with anyone randomly, since that is how your ISP is informed of the activity.

    With media servers, unless you’re somehow sharing publicly, it’s safe to assume your members aren’t going to report you to your ISP. I guess in theory the ISP could see high upload bandwidth and investigate, but more likely than not, if there are limits, automated systems will just throttle the bandwidth, and no deep packet inspection or other forensics is performed.