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Source: [Hacker News](https://github.com/humanlab/psychadapter)
Every time I ask the latest models to write something, it defaults to LLMisms like contrastive negation and long unnecessary lists. Is there a way to desloppify AI writing, or is this just the new status quo?
Originally published on the Invoance blog . Your AI's output is gone the moment it returns Most teams treat AI outputs like ephemeral function returns. The model responds, the response goes to the user, maybe a row gets written to a database, and that is the entire trail.
Lately, I wanted to see if I could get the bot to help me organize my music collection. Specifically, I want it to code a Python function that takes the path to an audio file of a song and returns the name of the canonical (i. e.
Before I released my own AI chatbot plugin, I ran it through a security review. It came back with 35 bugs, three of them critical, and the one that made my stomach drop was an HTML injection coming straight out of unsanitized model output. At the time, that felt like my low point as a developer.
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Why tech giants such as Alphabet and Microsoft are the safer choice in the AI race.