this post was submitted on 12 Jul 2025
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Showerthoughts
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A "Showerthought" is a simple term used to describe the thoughts that pop into your head while you're doing everyday things like taking a shower, driving, or just daydreaming. The most popular seem to be lighthearted clever little truths, hidden in daily life.
Here are some examples to inspire your own showerthoughts:
- Both “200” and “160” are 2 minutes in microwave math
- When you’re a kid, you don’t realize you’re also watching your mom and dad grow up.
- More dreams have been destroyed by alarm clocks than anything else
Rules
- All posts must be showerthoughts
- The entire showerthought must be in the title
- No politics
- If your topic is in a grey area, please phrase it to emphasize the fascinating aspects, not the dramatic aspects. You can do this by avoiding overly politicized terms such as "capitalism" and "communism". If you must make comparisons, you can say something is different without saying something is better/worse.
- A good place for politics is c/politicaldiscussion
- Posts must be original/unique
- Adhere to Lemmy's Code of Conduct and the TOS
If you made it this far, showerthoughts is accepting new mods. This community is generally tame so its not a lot of work, but having a few more mods would help reports get addressed a little sooner.
Whats it like to be a mod? Reports just show up as messages in your Lemmy inbox, and if a different mod has already addressed the report, the message goes away and you never worry about it.
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I think I lost you somewhere; how do LLMs factor into this?
They may or may not be used here. You could use LLMs to parse the content of sites being visited by web clients on your network. Then, ask the LLM whether the content includes certain topics or is work related. Based on the results of that, you add/remove the site from a blacklist.
Is this better than just string matching? I would say likely so, though more stochastic in the results. It would let the LLM provide summaries/context of the pages, and not by just confined to specific strings in a list. It might be better ramble to handle context and complexity of the desired outcomes.
For example, there was a paleontology conference at a hotel once that was stuck behind a firewall blacklisting all sites with the string 'bone' in them. Completely ridiculous. The string 'bone' has different meanings based upon context, which simple string matching cannot provide, but an LLM might be better and identifying and acting accordingly.
Cool..I worked in this school once that blocked any website about calculus because of the "cu" part of the string that means ass hole in my language. It was funny.