The desk is infinitely adjustable, but not quickly adjustable. It stays at standing height. Until recently, I would switch throughout the day between standing on a balance board from FluidStance and sitting on a Håg Capisco stool. Both have now been replaced by an inexpensive treadmill. I’ve found typing while walking to be easier than I’d imagined, but using my trackball mouse to be a bit more difficult than expected. So I’ve customized the mouse significantly to increase its functionality and to reduce the need for precision.
Update (Feb 27, 2026): Simon Willison pointed out that WASM support for interpreted languages is further along than I what I thought. wasm32-unknown-wasip1 is a Tier 2 supported target for CPython (meaning failures block releases), with unofficial WASI builds available. Pyodide ports CPython to WASM via Emscripten with support for packages like NumPy, pandas, and SciPy. On the JavaScript side, QuickJS compiled to WASM works well for sandboxed JS execution. Wasmer can run Python server-side on WASM including native modules like gevent and SQLAlchemy. I haven’t tried these yet, but I am looking forward to .
Even though my dataset is very small, I think it's sufficient to conclude that LLMs can't consistently reason. Also their reasoning performance gets worse as the SAT instance grows, which may be due to the context window becoming too large as the model reasoning progresses, and it gets harder to remember original clauses at the top of the context. A friend of mine made an observation that how complex SAT instances are similar to working with many rules in large codebases. As we add more rules, it gets more and more likely for LLMs to forget some of them, which can be insidious. Of course that doesn't mean LLMs are useless. They can be definitely useful without being able to reason, but due to lack of reasoning, we can't just write down the rules and expect that LLMs will always follow them. For critical requirements there needs to be some other process in place to ensure that these are met.，这一点在服务器推荐中也有详细论述
The best looks at London Fashion Week 2026。关于这个话题，Line官方版本下载提供了深入分析
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