Those old homes are usually used as storage for things that don't fit into their new, urban homes. The market value and taxes are low, so there's no point in selling.
Then eventually, without realizing, you have gone there for the last time, and there's nothing left to move to your new home.
Alternatively, the last old person who lived in the house dies or goes into a care home, and their kids (if they have any) never find the time to clear out the old place. There's no one to sell it to, anyway, so they have all the time in the world.
I had the same idea, but now I a Postgres database that has very high latency for simple queries because the CPU is busy building large HNSW indexes.
My impression is that it might be best to do vector index construction separately from the rest of the data, for performance reasons. It seems vector indexes are several orders of magnitude more compute intensive than most other database operations.
I built a service that turns entire websites into structured output: https://sitewideai.com
You enter a starting URL, describe the data you want in a prompt, the AI suggests columns for the output spreadsheet which you can customize, and then goes off and turns the website into structured data into a CSV file.
It also supports limits, you can say for example "visit at most 100 pages" and it will stop after 100 pages.
It was easier said than done to get prompts working as intended and the crawler to focus on the most relevant URLs first. As always, the final 20% end up taking up 80% of the development time.
Ah - I have probably listened to maybe 8-10 audiobooks and all ones that have been recommended to me as excellent. I guess I just assumed that that’s what audiobooks are like, which I guess doesn’t make sense.
My main reason of returning or not listening to audiobooks, be it with Audible or competitors, has been either a) a whiny or nasal voice, or, b) a strong accent that i dislike (e.g. strong British or Australian accent).
I have found myself finding more new books by checking which other books a specific narrator has voiced, rather than finding a book I want to listen to and hoping for a good narrator.
I definitely could, I would have to do a bit of tests to see what kinds of volumes deserved special treatment.
Usually the way I do things is I start by doing work manually. If I find that there's a common pattern in something I'm doing that could be automated, then I am able to transcribe it into the algorithm because I just follow the same steps I've been using in my head.
This wasn't a thing that actually came up a huge amount, as these glaring pairs aren't tremendously common. But they're just common enough that if I sat down and examined them, I could probably say something like "hey if 1.5 vertical lines worth of pixels are between two letters, kern this extra" or something like that.
Bingo. For all its flaws, Twitter threads can be a nice way of delivering a point. I think the character limit implicitly encourages a kind of brevity which you wouldn't get anywhere else.
