關於 AI 模型的實用文章——它們能做什麼、價格如何，以及該選哪一個。
第 4 頁，共 6 頁
Background music, stings and sound effects work. Focused listening and precise timing do not. Plus the rights position, stated plainly.
What separates good output from generic, how to get a style without naming an artist, and the copyright position nobody states plainly.
Editing, restyling, variation and outpainting from one mechanism. What the strength slider does, and how to keep a character consistent.
Not a malfunction — the mechanism working as designed. Where it happens most, what actually reduces it, and what does not.
Submitting generated text fails in predictable ways. Using AI to attack your own argument is the highest-value academic use there is.
Model builders, the compute layer underneath, and the application layer on top. Plus how to read industry news that mostly is not news.
How they work, why they produce false positives on careful and non-native writing, and what to do if you are wrongly accused.
Open weights, near-frontier reasoning and an order-of-magnitude lower cost. Plus the data question, answered plainly.
Open weights is not open source. The families, the real reasons to self-host, and the costs teams consistently underestimate.
Self-testing and correcting your explanations are among the best study techniques there are. Submitting generated text is not.