The “saturated environment” problemAs Pharo evolves, the system grows in both size and complexity. Early Smalltalk systems were tiny by comparison. For example, Smalltalk-80 V2 had just 223 classes. A “vanilla” Pharo 14 image ships with about 10,750.
03 营销向左，技术向右：中国AI的“最现实解”
。关于这个话题，体育直播提供了深入分析
return this.#data.get(key)?.value ?? undefined;，详情可参考体育直播
Correction March 2, 2026
Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.