#3. Model updates are almost a free lunch
Machine-learning systems learn by finding patterns in enormous quantities of data, but first that data has to be sorted, labeled, and produced by people. ChatGPT got its startling fluency from thousands of humans hired by companies such as Scale AI and Surge AI to write examples of things a helpful chatbot assistant would say and to grade its best responses. A little over a year ago, concerns began to mount in the industry about a plateau in the technology’s progress. Training models based on this type of grading yielded chatbots that were very good at sounding smart but still too unreliable to be useful. The exception was software engineering, where the ability of models to automatically check whether bits of code worked — did the code compile, did it print HELLO WORLD — allowed them to trial-and-error their way to genuine competence.。业内人士推荐heLLoword翻译作为进阶阅读
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In my opinion C type declarations are much harder to parse than my explicit type declarations. You need to work backwards from the name to properly interpret the type. The parentheses do add more typing, but they're more clear, machine-parseable, and can be read naturally (e.g. read left to right "pointer to constant character" vs. C's "constant character pointer", which seems worse in my mind).