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Joined 1 year ago
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Cake day: July 11th, 2023

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  • Edit: I see now the comment I replied to is about subsidizing losses, not about having a state run insurance program.

    If the premiums are risk based, why not not? Ideally there would also be a buyback program for homes deemed to be uninhabitable due to climate risk. Maybe something like the state will buy the house at 80% of the value used for property taxes, up to a certain maximum (fixed dollar amount? Percentage over the county/state median?) This buyback program could be used when the premiums become unaffordable.



  • Water damage to your house is generally covered unless it’s specifically excluded (flood). Plumbing leaks are usually covered, and the same goes for wind driven rain.

    When it comes to your belongings, coverage is the opposite, meaning nothing is covered unless the policy specifically says it is. Plumbing water damage is covered, but wind driven rain is only covered if an opening is created by the wind or hail. This could be as minor as a missing shingle.

    Flood damage (the rising water kind) isn’t covered by homeowners insurance for the building or your belongings, but renters policies do typically cover flood damage.




  • Reading through the comments on the original post, this sounds like a nightmare for everyone involved. Someone suggested that this just levels the playing field by using automation to get past automation and will in theory force companies to review manually, but what company is going to see 1000 to 10,000 applications to a single job in a day and think, “Wow, my automated application reviewer isn’t up to this task. Time to look at these all one by one!”? No, they’re going to be glad they have an automaton tool and double down on using it.

    To answer your original question, I don’t know how real it is or if any of those fifty interviews are for positions the candidate is well suited for. I’m just glad I’m not a recent/upcoming graduate trying to get my foot in the industry’s metaphorical door.








  • PlantJam@lemmy.worldtoTechnology@lemmy.world*Permanently Deleted*
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    2 months ago

    Isn’t paraphrasing/summarizing the top result a pretty good use case for LLMs? If I search “what temperature should I bake cupcakes at?” I really just want a simple answer, not dozens of links to life story style recipe blogs.

    DDG didn’t provide a summary, but Google did (and it was very long). I assumed the answer was 350F, but the summary suggested 325-375. Lower for flatter cupcakes, higher for more domed. Interesting.

    This type of summary wouldn’t be nearly as helpful for a technical programming question, but I doubt that describes the bulk of search queries.