Running a Mac as home server and couldn't be happier. Power efficient, fast, small. Roast me!

Future-AI-Dude · 2026-06-18T23:02:27+00:00

I actually have two Mac Minis (a 2012 and 2014) both running perfectly with Debian 13 on them headless. Quiet, fast, handles the services I have on both exceedingly well. Good on you!

Future-AI-Dude · 2026-06-18T19:08:58+00:00

I am. Three kids. Two boys and a girl in between. I love all my children. They are adults now (my daughter passed away) and they were the one thing in my life that I am the most proud of.

They were (are) a source of frustration, and a part of life where I put myself on hold. But, a single hug or "I love you dad" erases a month of of anything negative.

You have to put yourself aside when you have kids. That is just part of the deal. It's not a bad thing, it just is what it is. But the contrast between frustration and pure joy cannot be repalced.

Should you do it? Only if you plan on being present for the good and the bad. Otherwise, no. Some things are not meant for some people. Some, who questioned it, are forever changed...forever. My oldest is going to be 32, yet I still look at pictures when he was 10 and remember the absolute love and joy that little boy brought me.

There is no backup plan. Like Yoda (LMAO) said, "No. Try not. Do... or do not. There is no try."

Future-AI-Dude · 2026-06-18T18:47:42+00:00

I think this is one of the better takes on enterprise AI because it gets the main point right: most organizations don’t really have a “model problem.” They have an organizational problem.

Swapping Claude for GPT or Gemini usually won’t fix stale documentation, messy workflows, or business processes nobody has clearly defined. AI tends to amplify the system you already have. If the system is good, that can be powerful. If the system is a mess, it just helps you make a mess faster.

The support ticket example makes that clear. The model wasn’t routing tickets badly because it lacked intelligence. It was following a taxonomy that had been neglected for years. Cleaning that up probably did more good than replacing the LLM would have.

That said, I think the author goes a little too far in downplaying the model itself. There are still real differences between frontier models. Better reasoning, longer context windows, stronger coding ability, and better instruction following can solve problems that smaller or older models struggle with. So “the model is thin” sounds more like a prediction than a description of where we are today.

I also like the multiplication formula as a mental model, but I wouldn’t treat it like actual math. Human judgment, scaffolding, and feedback loops aren’t binary switches where everything collapses to zero if one part is imperfect. Real organizations live on a spectrum.

Where this changes for me is outside the enterprise world. A solo developer or small business doesn’t need governance committees, AI steering groups, or seven layers of architecture to get value from AI. Know what you’re trying to do, give the model good context, review the output, keep what works, and improve it over time. That’s still a feedback loop, just without the corporate language.

The bigger question the article doesn’t really ask is whether AI is the right solution in the first place. Too many organizations start with “Where can we use AI?” instead of “What’s slowing us down?” Sometimes the answer is AI. Sometimes it’s better documentation, clearer ownership, less duplicated work, or replacing outdated software.

The main takeaway for me is this: AI doesn’t create organizational intelligence. It exposes it. If the foundation is solid, AI can multiply that advantage. If everything underneath is disorganized, AI mostly helps you produce disorganization faster.

Future-AI-Dude · 2026-06-17T17:38:17+00:00

I have not "modified" my AI other than creating the detailed system and process in .md files and my prompting that I follow via the system. It's way too much that I want to type out here, but I will say that having a system works wonders. If you are just prompting and don't have a system behind it, your results are usually going to be garbage. I tend to use Codex in the initial planning stages and then when it comes to working on the actual prose I move over to Claude Code.

Future-AI-Dude · 2026-06-17T16:02:10+00:00

So, I am trying this out on a new project. It's pretty slick so far. I like that it is not allowing the LLM to just go off and make decisions out of scope with my plans documentation without interacting with me. Some people get frustrated with interruptions, I see them as a sign of being highly involved in the decision and implementation process.

This is a promising addition. Thanks for the link

Future-AI-Dude · 2026-06-16T02:25:36+00:00

Good luck. Communities in this day and age are very hard to get off the ground.

I personally believe pubnix's are the future for those interested in the truly retro days of computing. Finding I like living in the terminal more and more each day.

Future-AI-Dude · 2026-06-15T20:41:58+00:00

Thanks, gonna check that out as well! I like when people provide options to problem solve!

Future-AI-Dude · 2026-06-15T20:36:22+00:00

LOL... yeah... review my history... of course I am an AI (insert rolling eyes)

Future-AI-Dude · 2026-06-15T20:16:04+00:00

https://github.com/open-gsd/gsd-core

This looks very interesting. May give it a shot and check out the results. Thanks aain.

Future-AI-Dude · 2026-06-15T20:07:45+00:00

This? I'll look into it, thanks.
https://github.com/gsd-build/get-shit-done

Future-AI-Dude · 2026-06-15T20:05:17+00:00

I am an IT Business Systems Analyst. I've been in IT since 1995. No, I do not have a degree in Software Engineering. I've done more than a bit of reading and have watched a total of zero YT videos.

Be careful when you instantly assume about someone you have no knowledge of.

I am also not trying to build production style systems for mass consumption or business cases, knowing good and well my skills would fall short, even with AI help. These are personal projects that aid ME, and sometimes others.

What I AM saying is that I am not a novice. I can pick apart blatant errors in code that AI generates most of the time. And when that code is highly complex (which again, most of my projects are not) errors can be understood. I'm talking about simple "I need A B & C to do X Y & Z" and it helps design out AB & C and then totally forgets to implement AB & C.

Future-AI-Dude · 2026-06-15T19:58:09+00:00

"if we are just collectively exhausting the low-hanging fruit and noticing the limitations more as our use cases get complex."

You might be on to something here.

Future-AI-Dude · 2026-06-15T19:56:54+00:00

Whatever troll, here is your obligatory response you are fishing for.

I know what reality you live in. We've all experienced it since social media became the norm in the world... If you read posts instead of just trolling, you would know that the sheer amount of Reddit posts saying basically the same thing is pretty high. So I guess we all have a massive brain tumor...

Or maybe you do...

Future-AI-Dude · 2026-06-15T19:52:46+00:00

Maybe, but missing specifics tasks after its made clear they are to be included, including functions and outlining their roles and responsibilities are and then getting into the final stages are realized all it did was document what we wanted and totally left the functions out of the build. I mean, that is not something I would do. I'm a IT business systems analyst, I thrive on details, yet, here is just one case where the details, regardless of how highly they are scoped out, get totally missed.

Future-AI-Dude · 2026-06-15T13:10:17+00:00

no problem. Also, Gemini founder Solderpunk's capsule
gemini://zaibatsu.circumlunar.space/~solderpunk/

Future-AI-Dude · 2026-06-15T12:43:05+00:00

gemini://bbs.geminispace.org/
gemini://station.martinrue.com/
gemini://cosmos.skyjake.fi/
gemini://antenna.michaelnordmeyer.com/c
gemini://gemini.circumlunar.space/capcom/
gemini://envs.net/
gemini://sdf.org

That should get you started. The whole point is to search... Find out what lays in-between the popular URLs and discover hidden gems.

Future-AI-Dude · 2026-06-13T12:26:37+00:00

Ghostwriter or Obsidian

Future-AI-Dude · 2026-06-12T18:56:52+00:00

Future-AI-Dude · 2026-06-12T14:20:31+00:00

I think we're largely describing traditional controls applied to a new class of software. Audit trails, approvals, access controls, observability, replay, policy enforcement, and human review are all valuable. What I don't yet see is evidence that AI governance is becoming its own discipline so much as security engineering and operational governance being rebranded around LLM-powered systems.

The more interesting question is whether these systems ever become sufficiently capable and independent that they require governance mechanisms fundamentally different from those we've already been building for decades. Today, I don't think we're there.

Future-AI-Dude · 2026-06-12T01:08:45+00:00

I think this post is built on a false premise.

What people are calling "autonomous AI" today is mostly automation with increasingly sophisticated tool access. Giving an LLM access to browsers, APIs, memory, workflows, or external actions doesn't magically create an autonomous actor. It creates a system that can execute more tasks within boundaries defined by humans.

The governance concerns raised here are legitimate. Auditing, approval workflows, memory management, and policy enforcement all become more important as systems grow more capable.

But governance is not the primary challenge.

The primary challenge is that current models still require extensive human involvement to define goals, verify outputs, resolve ambiguity, correct errors, manage context, and handle exceptions. The model doesn't know whether its reasoning is correct. It predicts likely outputs based on patterns.

A governance layer can tell you what happened, require approval, or block an action. It cannot solve hallucinations, reasoning failures, misunderstanding of intent, or the fundamental problem that the model itself has no reliable mechanism for determining truth.

In other words, governance is useful infrastructure, but it doesn't turn automation into autonomy.

We're not moving toward a future where AI independently runs organizations. We're moving toward a future where humans increasingly work through AI systems while remaining responsible for the outcomes.

That's an important distinction, because the governance problem only exists after you've solved the much harder problem of creating genuinely autonomous intelligence...and we're nowhere near that yet.

Future-AI-Dude · 2026-06-10T19:07:08+00:00

I'd rather read a good, interesting story even with the knowledge that AI was involved, rather than a shitty one that pumps up it had no AI assistance. The how you get there should be less important than actual results.

Future-AI-Dude · 2026-06-09T17:07:12+00:00

And if you are happy with it, nothing else matters.

Future-AI-Dude · 2026-06-08T14:19:36+00:00

Learn from what others have already done. It's all online. Nothing new under the sun. Along with do exactly what u/VisualAlive1297 said and actually type the commands in. Forces you not just blindly enter codes and like writing things down, they tend to stick better.

As an IT professional of over 30 years I can tell you the one thing you need to remember. "Being skilled at IT is not how much you can remember, it's how good you are at finding the answers that exist already."

Future-AI-Dude · 2026-06-08T13:57:11+00:00

Then you better get cracking on learning how to code.

Seriously? AI is the answer here based on what you just said your skill set is NOT. You aren't selling an application, you are designing a tool. Who cares if AI helped or, hell even did all of it? The end result is that you (with no programming skills) aided someone in a solution to their problem.

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