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Joined 1 year ago
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Cake day: June 30th, 2023

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  • You need to find the right stores/brands to support.

    2 examples that my family stand behind and preaches from the mountain tops.

    Costco. They as a retailer stand behind all of their products and take virtually everything back with little to zero questions. Pharmacy and optical is worth the price of admission alone. Make sure you have storage for some of the stuff you end up buying but if you are smart about it, it’s worth the run every 4-6+ weeks.

    Duluth. Purveyor of fine clothing and unlike carhartt, Duluths stuff actually stands up to being used and abused. If you watch for deals and clearance you can get some damn good clothes at a decent price. Bonus for the female shaped beings out there, Duluth is the only one we have found that has womens clothing with actual pockets, including cargos.












  • Do I need to define collate? Maybe it wasn’t the best choice of verbiage but the point still stands. The quality of the output is always relative to the input. That’s why a growing number of companies are training their own llms with data from their own databases instead of trying to rely on external datasets.

    For the record, I’m not talking about ones that you can ask a question and get an answer. I was talking about law firms using a local or privately hosted llm to scan through discovery documents and finding keywords or related keywords that may be relevant to the case they are working. Especially now that a lot of discovery is digital.

    I can’t give more detail than the following because it may not be public yet but I am aware of one company working on their own llm to let clients more easily find info that has been published on their platform and would take longer to skim through than to just use a search engine.


  • First off, it’s not AI, it’s llm, basically a better way to collate and search data. It’s a tool that they should be using for research but they better not be using chatgpt or any of the other publicly available ones. I would hope that by now someone has launched or is working on one that was trained with data from law books, existing case law, etc and then you could also feed it any discovery documents that come in and it can help highlight what is important.