Here is a "gift copy" of an article with a working copy of a miniature Large Language Model AI. You can see how the AI parses sample texts from Jane Ausin, Shakespeare, the Federalist Papers and other sources. It parses a sample 30,000 times. You can see the outcome at various stages. You can generate as many sample outputs as you want. It produces gibberish at first, and then text which looks a lot like the source, but still does not make sense.
The article describes the simplicity of the main algorithm in this technique: "While the inner workings of these algorithms are notoriously opaque, the basic idea behind them is surprisingly simple. They are trained by going through mountains of internet text, repeatedly guessing the next few letters and then grading themselves against the real thing." You see there is no hint of actual human intelligence in the algorithm. It is not imitating or simulating the mechanisms of human intelligence. https://www.nytimes.com/interactive/2023/04/26/upshot/gpt-from-scratch.html?unlocked_article_code=Q4gvpJTb9E3YINp_ca4bgZovkWX4G1TiSclGTYsby_fUHiOUcmgMuivsdApz-JTH90er1fEaTX-9sE7IK5_EgbWbYJidtUMCOynDvzCC5l_6JhXaQWq83elkRIYLSTl5Daqd3pSb942K2hIFYeMw_xEPJkyaHobPQOjWFA5D7421wxSsEZfN4FvgO-qv-FJtrNI-E20kKdgFiH7PP9A9liu48jnKueJfVHQJNNKrmMlchcWA-0b47eDZxSVJ7eSpv1ceyir2kLp8P-CIfu_fqtPSYCGckK1AS2RHajIP0Ku6u-_p2NBL8VLvz-jzshxYZusLl4lSFUTMReXDYyv5wW_OpRISrDF4&smid=url-share >
