haolez

Eventually solving for cost is a much easier problem than solving coding.

I couldn't adapt to the fact that, when I click, I have to be mindful of not moving the mouse sideways with the right amount of finger pressure.

This made me remember of a benchmark that I saw a few months ago about LLMs being unexpectedly _very good_ with Perl when compared to any other language. I couldn't find it right now. If someone knows what I'm talking about, please post it here :)

I've started using OpenSpec[0] recently to mitigate problems like that, but I'm still very early in this journey.

Can someone with more experience with it (or similar tools) chime in and confirm that this isn't just more AI snake oil? :)

[0] https://openspec.dev/

Ansible includes modules to handle cloud resources as well, such as AWS Lambda.

Fair point. We could classify AI generated articles in two categories:

1) articles generated with context data that's trivial to find (or even embedded into the model)

2) articles generated with context data that's hard to find or not publicly available

The problem is the signal/noise ratio in these articles. If the AI has written the article, then this same info could have been generated by my own AI, but tailored to my needs. So what, exactly, is the new info that this article is generating that I can use to consult with my AI? That's what I want to get out of this interaction.

Maybe my point is something on the lines of "Just send me the prompt"[0]

[0] https://blog.gpkb.org/posts/just-send-me-the-prompt/

This is pretty damn cool.

On a side note, _in the context of workstations_, I wonder if a hypothetical OS that reimplements the Windows APIs (like ReactOS, but with perfect modern hardware support) would be better for end users than a Linux distro with a modern DE.

In the past, this hypothetical OS would be a revolution. But I feel that, in recent years, this gap is not as big anymore and Linux supports way more apps than in the past. Such an OS might even not be relevant anymore, even if it exists.

Do I have a blind spot on this? Is there value in having a "working ReactOS" as of 2026 _for workstations_?

Option 1 is a PM.

Can anyone give some hints on what made Civ 1 special compared to other classic entries in the franchise? Despite the nostalgia factor, of course.

I don't have a stake on AI, but more and more I see the following patterns:

- people that give in to AI do so because the technical merits suddenly became too big to ignore (even for seasoned developers that were previously against it) - people who avoid AI center their arguments on principles and personal discomfort

Just from that, you can kind of see where this is going.

Kinda off-topic, but I wonder if a hypothetical OS that reimplements the Windows APIs (like ReactOS[0], but with perfect modern hardware support) would be better for end users than a Linux distro with a modern DE.

In the past, this hypothetical OS would be a revolution. But I feel that, in recent years, this gap is not as big anymore and Linux supports way more apps than in the past. Such an OS might even not be relevant anymore, even if it exists.

Do I have a blind spot on this? Is there value in having a "working ReactOS" as of 2026?

[0] https://reactos.org/

That's an interesting topic. Please, elaborate.

I was pretty surprised when I learned recently that the Java alternative for green threads doesn't use colored functions. It put Java in a higher place in my perception.

This might be a buy for me once it is fully supported by Linux. Hopefully, the muscle memory of Ctrl, Super and Alt won't get in my way.

Feels like writing tests before writing code, but with LLMs :)

Not at all. AWS IAM policy is a complex maze, but incredibly powerful. It solves this exact problem very well.

Just because of the other examples, which even include C applications or GTK ones. Not strong contenders against something derived from old Delphi like Lazarus.

However, Electron & the web stack has clearly won.

Lazarus[0] would probably have scored well in this exercise.

[0] https://www.lazarus-ide.org/

having a single large persistent world-shard with minimal functional instancing

What do you mean by this?

Btw, I've never met a player of Meridian 59, but seeing YouTube videos about it, it might have been popular in my community if we had access to it at the time. Looks super interesting, although it didn't age well, of course.

I think a component of it is a zero sum model. Like, not everybody can be incredibly successful. Not sure how to implement this, though.

These are the words and thoughts that I couldn't organize myself. Thank you for that. Fully agree.

If starting from scratch, what would an MMO need to replicate that?

I've experienced it first hand, but I can't grasp why it worked well like it did.

UO was the only game that I've ever played where you had "commoner" players. A lot of players failed to scale up, or to obtain top notch equipment. But the game was fun even for underpowered players, so they kept playing. The really powerful players were famous, like celebrities.

It's very different from modern games, where each player looks like the fantasy version of a Marvel super hero.

If I buy a recent Motorola device, will it be possible to upgrade to Graphene in the future? I'm looking for a new device right now.

The influencers generate noise, but the progress is still there. The real productivity gains will start showing up at market scale eventually.

The fun thing about this is that I can see myself answering "just walk there! It's near" if I'm extremely sleepy or drunk. LLMs are indeed weird creatures :)

That's different. You are pulling the model, semantically, closer to the problem domain you want it to attack.

That's very different from "think deeper". I'm just curious about this case in specific :)