Take a look at https://www.localscore.ai/. It helped me understand just what the difference in experience will be like.

Isn’t that just effectively un-minified? It’s just the client side code in the first place?

Oh well in that case I’d better not let them give any money to the poor at all.

Good opportunity to remind you that many employers offer donation matching for nonprofits. So right now donating money to food banks not only helps those in need, but also forces our corporate overlords to!

I have no advice but I’ve been thinking the same way. I like LLMs, I use LLMs, but the “shove an LLM into every product and call it more valuable” approach is not sustainable and it will fail. Hopefully not as a full on bubble collapsing economy thing, but it’s only a matter of time (I’d guess a year tops) until companies have to start admitting to losses and investors start retreating.

Hopefully someone with some decent economic knowledge will drop some advice, but frankly I doubt anyone can do much better than guess (or parrot old advice) what will be least impacted. Intuitively tech stocks are the ones that will be hurt, maybe it’s manufacturing stuff that will stay more stable, but it’s all such a complicated web of interdependency who knows.

I just started using them and I like it. It’s a good balance of easy and secure for me. I just added the container to my stack and then use their UI to point a subdomain at the internal port. Security can go pretty extreme if you set up their whole zero trust thing.

An alternative similar option is Pangolin. I’ve seen a lot of people like it to avoid Cloudflare, but I haven’t used it myself. There still has to be an endpoint running it, so you’ll need an external VPS, which then adds a cost to the equation but at least you control it.

At that point the pebbles just become rocks for you throw back at them.

Definitely not getting many pebbles I’d wager.

Right? On one hand I feel personally attacked, but on the other hand “oh thank god it’s not just me”.

But next year I swear I’ll have the time and energy to actually build all those cool ideas behind the domains! I hope….

How very dare you.

I’m just presenting that as a “is this what you mean”. If it is, then perhaps a FOSS or self hostable version fists or the community might be interested in one existing.

It’s not self hostable, but you mean something like this? https://calendarbudget.com/

I played a bit with the basic concept of identifying and categorizing merchants by importing a transaction csv into google sheets and writing a custom function that called the OpenAI API, basically just passing the raw merchant string along with “What category of business is this?”. It did well, the next step would have been to add a step that compared to a predefined list of possible categories. I didn’t compare any models or other platforms though. This was last year so I might play with it again.

I found this which is overkill for personal use but does a good job of laying out this sort of application: https://midday.ai/updates/automatic-reconciliation-engine/

“Instead of just comparing text strings, we use 768-dimensional vector embeddings to capture the semantic meaning of transactions and receipts.

// Generate embeddings for transaction data
const transactionText = prepareTransactionText({
  name: transaction.name,
  counterpartyName: transaction.counterpartyName,
  merchantName: transaction.merchantName,
  description: transaction.description
});

const embedding = await generateEmbeddings([transactionText]);

These embeddings allow our system to understand that “AMZN MKTP” and “Amazon Marketplace Purchase” refer to the same thing, even though the text strings are completely different. The system learns patterns like:

• “SQ *COFFEE SHOP” → “Square Coffee Shop Receipt”
• “PAYPAL *DIGITALOCEAN” → “DigitalOcean Invoice via PayPal”
• “APL*APPLE.COM” → “Apple App Store Purchase””

You’re missing the point, that would require sitting down and manually doing that for every conceivable payee. Walmart is just an example. The value of any sort of “intelligent” component would be for this to happen automatically and seamlessly for the user. Hell, the AI layer could just be “write regex for al the possible similar payees across these documents”.

Yep, that’s exactly the sort of thing I’m thinking about here. And it doesn’t even need to be full on chat style LLM, just some decent NLP that can recognize WALMART, WAL-MART, or WMART are all the same thing and label it.

But for some reason this question brings out all the assumption people who want to give financial advice or talk about the AI image the saw last year with 6 fingers.

Yeah, you’re spot on. It’s not heavy handed, but the eye color caste/class stuff is not supposed to be seen as a positive for sure.

If you like fantasy, he is writing some of the best out there right now. The Stormlight series is planned as 10 books, 5 so far, so if you want to “try it out” you might want to start elsewhere. His Mistborn trilogy is outstanding, and the first book can actually stand alone so you don’t feel like committing. It’s also got some good social commentary in the world building about class systems etc.

If you don’t like fantasy, then probably not worth your time.

If it were a glorification of that concept, then sure, but it’s not. Most of the time spent on that particular bit of world building it to point out what a stupid system it is.

I had to check if I was in the Lemmy equivalent to /r/cremposting… There is one but it’s dead, oh well.

For context, in the Stormlight Archive fantasy series, eye color determines social standing. Blue or green eyes are “light eyes”, and are like nobility. Whereas “dark eyes” are commoners, laborers, etc. There are quite a few few linguistic things related to that, so your thought could fit right in.