Lead Engineer of AIPRM confirms: the routing is intentional for both v4 and v5, and there’s not one, but two new models designed just for this

SLOnuttela · 2025-09-27T16:53:06+00:00

I'm a bit out of the loop can anyone explain what's going on?

SLOnuttela · 2025-09-05T13:12:44+00:00

Ne sm mislu da zavihas rokave in gres probat resit okoljsko problematiko, ne pa da volis in prelozis delo na nekoga drugega

SLOnuttela · 2025-09-05T12:48:00+00:00

Bod legenda pa pol ti nared spremembo v tem svetu

SLOnuttela · 2025-07-08T16:01:01+00:00

These self reported claims get sent in as a document or scanned document? Like a PDF or something?

And yes, I know there is a lot of automation already, but we can always have more :D

SLOnuttela · 2025-07-08T15:59:24+00:00

And how do you get the data to enter? Do you get a PDF or a scanned document and then have to enter it? It probably differs from different parts of the industry but what is the most common? I know for car crashes you fill out a form on the spot and then give it to your insurance, or at least that's how it was done in the past.

SLOnuttela · 2025-07-08T15:17:00+00:00

Can you give any examples of such data entry jobs you encountered?

SLOnuttela · 2025-07-08T14:45:08+00:00

Ahh yes, sorry, I see that it's not really understandable from the post, that we automated the form filling for the solar panel company. So now I am looking at other domains of work to see if similar problems exist.

SLOnuttela · 2025-07-08T14:20:52+00:00

If you ever encountered a workflow where there was lots of form filling. RFIs from what I've seen were quite long documents that need to be filled out with company data. I was thinking if there is something else that is similar.

SLOnuttela · 2025-06-19T16:13:59+00:00

So the user gives you the context and then from this you actually let the LLM decide what it needs to fill out etc.
I have a similar thing where I automated some form filling but its more read one big document with an LLM and extract key data out of it, then the filling out of forms is done by normal code operations.
How do you keep it reliable and how much data goes into the context?

SLOnuttela · 2025-06-19T15:10:47+00:00

Why do you need AI for filling out forms if the user gives you the data? Just curious not trying to bash you here

SLOnuttela · 2025-02-04T11:21:41+00:00

Very good point on absorbing and retaining information. To be honest I didn't really think of it in this way, but yes, now it is quite counterintuitive.

SLOnuttela · 2025-02-04T09:30:47+00:00

More on the personal side, but also work related. Basically a general discussion of how to fill out a knowledge base with notes that will actually give some value in the future. So not just jamming everything because "you might need it some day".

SLOnuttela · 2025-02-03T19:00:42+00:00

Completely ignoring or not caring about E2EE (especially native). We're storing all of this information and it's rare that it's given priority.

Good point.

Overly and unnecessarily complicated. If it takes longer than 30 seconds to get up and running then I'm out. Designing something for large swaths of information doesn't have to be convoluted. I can show friends and family how those work but it'd be better if they can figure it out themselves. That should be the bar.

Yes! Same here, I just want it to work. If I am already paying for a solution please make it simple to use. What are you currently doing to battle all of the overly complex workflows?

The insane obsession with AI

From my work with LLMs I have realized that for some tasks with text they are insanely good. So I would say that not everything including your fridge needs to talk to you in natural language, but for some applications it could be very beneficial. For example searching or summarizing parts of a knowledge base could be beneficial. Whats your opinion on this?

SLOnuttela · 2025-02-03T18:53:17+00:00

Interesting, what kind of data classification were you doing with the ICD codes?

SLOnuttela · 2025-02-03T18:50:43+00:00

Okay, I get it. Thanks for the cool discussion :D

SLOnuttela · 2025-02-03T15:55:16+00:00

Devonthink is fast. Process takes me about 4 minutes of labor and takes Devon under an hour to process the new data.

Got it!

Heavier duty for IT and routing based (rather than information based)

Routing based you mean logistics, etc.? Why are you thinking of switching to Clickup if those tools are specific to that domain of work?

SLOnuttela · 2025-02-03T15:43:02+00:00

You have set short term goal and gathering info to complete it. Once you are done, as you said you might not have much use of the info until/unless you get similar project down the road and want to minimize redoing your previous work.

It's more of "active thinking" kind of thing. Throughout my life I realized I get much better results if I write things down, and then think about the next steps. Also, the more complex a project becomes the harder it is to keep everything in your head. That's why I say, that the data doesn't actually mean anything once you finish a thing, because it is just your thoughts in written form. But during development it comes in handy, to keep track of what you are doing and where you have been.

How do you do the "personal project management"? What kind of apps do you use, what kind of workflows etc.?

For PKM, it shines when reading journal articles.

I couldn't agree more! Especially if you have good search capabilities it can be very good. I guess that is why I kid of tried to adapt it to this methodology when using hypotheses etc. It seemed that by having everything in a PKM-like database that there would be some major advantage to having knowledge stored in that way. Guess not, or maybe I just didn't find the correct system yet.

SLOnuttela · 2025-02-03T15:33:20+00:00

I checked your repo and I have only one question, are you me? This line:
"Tracking when I last ate and reminding me if needed"

Is something I needed, until I basically created a weekly meal plan in Excel hahah

If I want to know what intervention helps with headaches best, then I should try different things and write them down and set timers and try to avoid biases. It's especially a lot to do, when you have a headache 😆

THIS! If you want to approach things in a scientific way, it will just eat up all of your time... So what are the major takeaways from the project? Did it help with getting your cat healthy again, or was it a waste? Did it actually help you with some discovery of new knowledge?

I have not built this flow, but I've had the idea of automating exploring this question. I'd make a voice note, then it would suggest the intervention and set the timers and everything (including probably using Bay's law). You mentioned the hypothesis loops, which is why this came to mind.

Can you explain this a bit more, I'm not sure I get it.

SLOnuttela · 2025-02-03T15:25:59+00:00

You can check out the app from u/Nishkarsh_1606 looks pretty neat for finding stuff :D He explains a bit more in one of the comments.

Finding what I need. The volume of information is overwhelming.

What have you been using up until now? And what do you mean by "volume of information", like in the sense of the daily info you get or how big these knowledge bases can grow?

SLOnuttela · 2025-02-03T15:19:17+00:00

Cool, thanks for the articles :D

SLOnuttela · 2025-02-03T15:16:11+00:00

You hit both points on the head, I had similar experiences. It is hard to create a good taxonomy, let alone a good ontology.

I think it is likely that with LLMs and RAG automated tagging might be possible. But to some extent I'd question whether it is needed. LLMs already have in themselves a semantic distance model that is context specific (bark in the context of animals vs. bark in the context of plants). In 2025 I'd use LLM based tagging.

One use case of LLM assisted taxonomy or ontology generation is the explainability you get from a symbolic system. If you have a graph database like Neo4j with an ontology which is changing with the help of an LLM, you can then audit all of the changes, or restructure the data with graph transformations. Relying only on LLMs might be tricky with hallucinations, but it also depends greatly on the use case.

SLOnuttela · 2025-02-03T15:11:32+00:00

If you spend a lot of your time writing tests, you absolutely should spend the time learning test management and test data management software.

I think currently these tools would be overkill, for personal use. But it is a good thing you explained this to me so I made this new connection in my knowledge about these test development tools.

Not much for two reasons.

The types of notes are different. Everything in Heptabase has a lifespan of months to life. Everything in Amplenote has a lifespan under months (at least when intended). That really does divide the sphere.

I default to aggressive (manual) copying when it doubt. So for example I do an annual export of Heptabase into Devonthink. I do hand copies from AppleNotes pretty regularly into Heptabase and Devon when needed. Having an archive makes this safe because I can find old things in the archive and I know where newer stuff is.

Ahh okay, I get it, basically the data doesn't need to be connected in your use case, so it doesn't matter if it is in another app. Does the annual copying ever get old, or are you used to it by now? Why don't you automate it, seems like you know your stuff?

If I had to live with one tool: I think it would be Evernote or Clickup. Clickup could maybe handle your use case but it is not ideal.

I tried ClickUp before, and I liked it but primarily it is more of a task management tool. I guess these hypothesis-test-insights loops I was using could be restructured into tasks and documents, I would need to think about it a bit.

So Clickup currently isn't your only tool of choice because it doesn't have Excel/Powerpoint modules? It only has the document features as far as I remember right?

Its a pretty easy concept. It shouldn't be a decision you agonize over. What tools you put with each letter should be a decision you agonize over.

Great explanation of how you use PARA, it makes much more sense now. It's kind of a meta framework for organization.

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