This is not an edge case. Most HN commenters describe the latest two versions of macOS as being objectively worse than earlier versions: slower, less stable, more broken. There are significant numbers of “power users” who deliberately avoid upgrading or have actively downgraded macOS to Sonoma because they care about their computing experience.
The design of Pandas is inferior in every way to Polars: API, memory use, speed, expressiveness. Pandas has been strictly worse since late 2023 and will never close the gap. Polars is multithreaded by default, written in a low-level language, has a powerful query engine, supports lazy, out-of memory execution, and isn’t constrained by any compatibility concerns with a warty, eager-only API and pre-Arrow data types that aren’t nullable.
It’s probably not worth incurring the pain of a compatibility-breaking Pandas upgrade. Switch to Polars instead for new projects and you won’t look back.
Yes, ChatGPT 5.2 Pro absolutely still does this. Just ask it for a pivot table using Polars and it will probably spit out code with Pandas arguments that doesn’t work.
Numerical integration methods suffer from the “curse of dimensionality”: they require exponentially more points in higher dimensions. Monte Carlo integration methods have an error that is independent of dimension, so they scale much better.
The true value of gold is quite stable over time (since new gold is mined at a slow rate). Fiat currencies are constantly being debased. Hard assets fluctuate up and down relative to gold.
https://code.claude.com/docs/en/channels
I haven't used OpenClaw since then ...