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KurSix

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A T400 is old enough to feel refreshingly simple but still new enough to be useful. A 1996 Aptiva is more like a historical instrument. I like that distinction between old and actually vintage.

Trying to use a 15-year-old Atom netbook as a modern laptop is mostly pain. But treating it as a small always-on appliance is a much better fit

There is something healthy about a challenge where the goal is not optimization, productivity but just spending a week with constraints and making something

Complexity itself obviously isn't new, and in many cases we've replaced terrifying, opaque natural uncertainty with systems that are much better at keeping people alive. But I think there's still a difference between complexity that is encountered and complexity that is administered through

Maybe the goal isn't to reject complexity entirely, but to be much more suspicious of complexity that gives no corresponding increase in dignity, beauty, autonomy or peace

Mesh networking is still mostly a playground for hobbyists and hacky, built-on-the-knee implementations. People love shipping a cool PoC, but as soon as the boring stuff starts - stabilization, drivers, edge cases - everyone bails to chase the next hype protocol. We’re left with mountains of half-baked C++ legacy that nobody dares to refactor because the whole house of cards would collapse iirc

It’s funny how a standard power grab over cash and control is being packaged as some "Holy War against AI"

Highlighting the Claude usage in the headline is a blatant move to bait the anti-AI crowd and farm sympathy points. The real issue has nothing to do with who generated the AST -whether it was meat-ware or a transformer - the issue is the brand hijacking. Stop dragging technology into this; it’s just pure legal scumbaggery

This is a fundamentally different beast. BI tools run a predictable set of joins, but an LLM agent is a monkey with a grenade - it can easily hallucinate a 7-way CROSS JOIN or a recursive CTE without a base case. Your read replica will hit OOM or get pinned by I/O in seconds. The only sane path is offloading specific data slices to Snowflake, ClickHouse, or a local DuckDB where you can enforce hard per-user memory and timeout quotas, completely isolating AI noise from your transactional cluster