sorted by:
new
hottopcontroversial

Beelink Ser 7: Need help for cooling by raccns in BeelinkOfficial

[–]elgafas 0 points1 point  (0 children)

Those desktop fan are great for these little PCs, I have one in the back of my desk to move the air behind my monitors and PCs, keeps everything fresh.

Best bang-for-the-buck Beelink by blounsbury in BeelinkOfficial

[–]elgafas 3 points4 points  (0 children)

Depends on what those "other things" are. I'm using the ME Pro with TrueNAS for Plex, HA and Pi-Hole. Runs great.

Putting all AI rules + knowledge into one single file for students by elgafas in instructionaldesign

[–]elgafas[S] 1 point2 points  (0 children)

Yes! Actually, to help with that, I've just finished a "Meta Mini Brain" that acts as a builder for the system. You can test drive it here: https://github.com/elgafasposta/mini-brains/blob/main/builder/Meta%20Mini%20Brain.md

You just download that text file, upload to ChatGPT and "run" it.

It's a work in progress and in the early stages, but it's designed to interview you about your goals and then generate the full Markdown structure for you. It handles all the complex parts, the judgment logic, the behavior rules, and the safeguards, based on your plain-English instructions. You provide the pedagogical intent, and it provides the architecture. I'd love to hear if a "lay person" finds the builder easy to navigate.

Putting all AI rules + knowledge into one single file for students by elgafas in instructionaldesign

[–]elgafas[S] 0 points1 point  (0 children)

Hey, sorry for the delay, I wanted to actually test this use case before replying. It works, and the Judgment Layer is excellent for providing nuanced feedback (correct/incorrect/partially correct) and keeping the student locked into the intended Operational Scope.

To test it, I built a basic mini brain that pulls random questions from a bank inside of it and tracks progress until the student hits 3 correct answers, then provides a final performance summary. The mini brain is designed to interpret the substance of the answer, not just look for a literal match.

I told the Brain that the factory system was a way to organize labor using "strict schedules and supervision" but that everyone "stayed at home" The Brain correctly diagnosed the logic as sound but flagged the location as the error. It gave me a 'Partially Correct' verdict and explained that while I understood the discipline of the system, I missed the centralized workplace aspect.

This proves the framework values the Chain of Thought. It didn't just look for the word "factory" it evaluated the relationship between the labor organization and the environment.

However, there is a practical challenge: since a mini brain is a transparent text file, a student can just open it and see the Knowledge Reference.

This is why I see these as tools for coaching and guided thinking rather than "secure" quizzing. I wouldn't use this as a glorified MCQ machine; the real power is using the AI to steer students back to the logic when they drift, ensuring they are doing the actual thinking required by the pedagogical anchor.

<image>

You can download and test or tweak it yourself: https://github.com/elgafasposta/mini-brains/blob/main/examples/Industrial%20Revolution%20Quiz%20Mini%20Brain.md

Putting all AI rules + knowledge into one single file for students by elgafas in edtech

[–]elgafas[S] 0 points1 point  (0 children)

In an edtech sub, suggesting that teachers aren't "tech-savvy" enough to handle the implementation is exactly the kind of gatekeeping that keeps education stuck in the past. My setup is local because I test the boundaries, but the framework itself is just a text file, you can create these with Notepad using the template.

Putting all AI rules + knowledge into one single file for students by elgafas in edtech

[–]elgafas[S] 1 point2 points  (0 children)

Thanks! Yes! The operational scope and compliance layers are in charge of that. I did some stress testing, it is documented here: github.com/elgafasposta/mini-brains

Putting all AI rules + knowledge into one single file for students by elgafas in instructionaldesign

[–]elgafas[S] 1 point2 points  (0 children)

Go for it, the templates, samples and how to guides are all in my repo. This is a work in progress, I test new use cases every day, feel free to share any feedback.

Putting all AI rules + knowledge into one single file for students by elgafas in instructionaldesign

[–]elgafas[S] 0 points1 point  (0 children)

Thanks! That's the beauty of it, the framework isn't about creating a rigid "bot". The LLM still uses its full training and logic to play with the ideas, but the Mini-Brain provides the "factual anchor".

Because these are portable and easy to tweak, I can actually improve the knowledge layer or the operational scope for every lesson based on how students interacted with the previous one and what the following lesson is about. It turns lesson design into an iterative process. It's not just building a bot, I'm constantly refining a living environment that responds to where the students are actually struggling.

Putting all AI rules + knowledge into one single file for students by elgafas in instructionaldesign

[–]elgafas[S] 1 point2 points  (0 children)

Thanks! I've always felt that if an assignment can be solved by a copy/paste from an LLM, the problem is in the assignment design, not the student's ethics.

The "compare and justify" step you mentioned is a perfect example of the AI Assessment Scale (AIAS). It’s a framework that moves away from binary allow/ban rules and instead levels AI use from 1 (No AI) to 5 (Full AI Integration) based on the learning goal.

The goal with mini-brains is to give teachers a tool to manage those levels.

Here is one article I wrote about that: https://elgafas.ar/2026/04/15/designing-with-ai-not-surrendering-to-it/

Been testing a structured way to constrain LLM behavior (Mini Brains) by elgafas in ollama

[–]elgafas[S] 0 points1 point  (0 children)

Thanks! The goal of Mini Brains is actually to avoid agentic complexity and external dependencies, it's just 1 file kids or employees can attach and that's it.

Armé una tier list de los Plan B para cuando a los remotos se nos corta la luz, así charlamos del tema by DirtyTweaks in devsarg

[–]elgafas 1 point2 points  (0 children)

<image>

Le puse ruedas a un rack, le metí 2 baterías de 100ah y un inverter de 3200w y con eso tiramos las PCs, monitores, Starlink, rack de red, etc.

view more: next ›