linuxrebe1

Mr Smith agrees.

Fingers are crossed on this one. I had gone back to using opus 4.8 instead of using opus 5. Simply because 4.8 is much better at remembering what it's doing and following instructions than 5. 5 often had a tendency to get halfway through solving a problem and then I would have to stop it in the middle, because it had lost its way and was going off on a tangent rather than dealing with the problem. In that respect, 4.8 was a lot more stable.

Fingers crossed on this one. I had gone back to 4.8, because 5 was not very good at following instructions or remembering instructions. I found myself repeating quite often what I wanted and what I was trying to do. Opus 5 was more like haiku than it was 4.8 in that respect.

Oh and by the way, I will also submit that there is a form of bankruptcy for technical debt.

The company folds, or the software is no longer maintained or in use.

When was the last time you used word Perfect? Or MS-DOS?

As I read this article, as a non-coder (for a living) I noticed that what is being assumed is that the code produces a desired result. To that I will agree. You can really produce some bad code that has a positive outcome.

But as a counter proposal, I will submit that code can get so bad, that the product no longer produces a desirable result, no longer produces it in a manner that people want, or doesn't produce it at all.

Code that produces no desirable result or no result at all. Is as bad as it's going to get. It's a worthless pile of ASCII characters.

I too got laid off at the end of April. So what I've been working on since then has been AI. But of course, being the contrarian that I am, I'm trying to make small language model AI usable. The end goal is to complete all the pieces I need to create an AI empowered tool that you can point at an authorized Network, and it figures out on its own. What needs to be monitored. Learns what normal looks like on your network. Build your dashboards. Working both as systems monitoring and network monitoring. So right now my GitHub is full of both things that I need, for personal use, in this goal. Also with things that I need because they will become tools for the final product. https://github.com/linuxrebel. You'll get to see my contorted mind at work

For those of you who remmber the days of monolithic monster programs,you also remember the process of throwing more hardware at the problem. Then someone came along and asked "What if we broke it into chunks and then only load what we are using, when we are using it?

There was a time when the entire OS and the program you were running where both loaded into RAM and you ran from there. Limiting capabilities because hey 1MB of RAM was expensive.

We are reaching a similar point with LLMs. As useful and wonderful as they may be. The idea that you can just through a larger context window at it and it will solve your problem is proving false.It's being proven that the more you have the LLM actively remember, the dumber it can get.

This White Paper marks my research into this issue and what I've found out about how to maximize what an SLM can remember, preserving data integrity, performance,and keeping your data local rather than feeding it to the all consuming.

Feel free to give me feedback and thanks for reading.

I just had a wild thought. Combine Hister with my RepoSearch app. Point it at a companies Internal github/gitlab and have a searchable knowledge base of your git repos.

hmmmm :)

I've run it on a VM with 4G ram and no GPU. It runs, But I really recommend 8G ram at least. If you have a GPU (like I do) with 4G vRAM that is ideal. Will get this in the readme. Thanks for the suggestion. I really tried to build this to minimal spec.

I fixed this in version 0.9.1 (just released) thanks for the bug (seriously)

v0.9.1 is in the repo and packages have been built. It now does all of the ODT formats.

By restricted for personal use I mean it's not networked. It's running on your system only. It's not a networked commercial product able to do SSO etc. It's not an enterprise level product.

I went with the python libraries (pydoc and pyxls for example), because it's portable and doesn't require a big download to a users system if they don't already have it installed.

Will have version 0.9.1 out later today to support ODF formats.

Consider it yes, However having experience in this ... not really. For now there is a file called Decisions.md in the repo that is my "notes to self" if you will about where and what I need to do.

I use rclone to "mount" them locally. Then it becomes searchable.

I was building for mac on a VM install of OSX. Will take this as a bug, Thanks.

Noted the bug.

thankyou

I'm actually thinking of this for a commercial product feature. However, if you use a tool like Rclone on Windows, Linux or Mac. Mount the s3 bucket and you can then run DocuBrowse as if the s3 bucket were local.

Yes, not supporting it is an oversight I will correct.

- Filling a need I personally have. - Learning how to leverage AI for real world use not just to fill up a data center. - Personal knowledge -developing skills

Pretty much in that order

I creating DocuRepo as well. though not as fleshed out.

Let me look into this

Interesting observation. However it seems to me it uncovers an age old issue. "Works on my laptop" The real blindness I see in the process is failing to use the tools at hand to properly model production, document production etc. The change was made prior to the person making the change either bothering too, or being able to, understand what the constraints really are.

I had an issue. A documents folder with over 12k objects in it. A hodgepodge of folders and sub-folders. That over time had created a mess that no amount of file movement was ever going to make it usable. I wanted: 1) To keep my data local 2) be able to filter out PII and other data 3) Be able to find and delete duplicates 4) Get short synopsis of what a document is 5) Semantic and keyword search 6) All of this kept local to me requiring no internet access and no tokens spent to train someone elses AI.

The result I call DocuBrowser and in it's current form is FOSS (GPL-3) licensed for your personal use. The UI is in your browser. The AI models used are held local and are tiny, Available for Linux(RPM,Deb, and tgz) Windows and Mac. Let me know what you think and thanks for taking the time to try it out.

I don't mean this to be funny. But given that this is running the actual drivers. Would it be possible to take a standard PC floppy drive, and have it read at Amiga OS disc?

One thing I would recommend. Install instructions for Linux/Windows/Mac. Not finding them in the documentation.

This could get interesting in light of recent changes to California law. A similar program designed to "normalize" rent. Is now illegal. Even the FTC has agreed that price fixing by algorithm is still price fixing. https://www.ftc.gov/business-guidance/blog/2024/03/price-fix....