This is an interesting read in how a tech journalist handles it.

…involves at least three steps:

1. Noticing which word choices are anthropomorphizing
2. Finding alternatives
3. Getting in the habit of using the alternatives

AI pronouns are Klanker, and that fucking klanker

I liked some proposals. I will certainly use LLM far more, and i/o too. But that's me, I have a preference toward technical terms that are already established. Finding new ones is a challenge. Specialy since they get permeated by our own biases. Or at least that's what I felt when reading their proposal to replace ai agent. I believe the agency of that system is there, so why not just llm agent? :/

Examples from the article:

• artificial intelligence → probabilistic automation
• hybrid intelligence → augmented human intelligence
• image recognition → image labeling
• speech recognition → automatic transcription
• the model shows bias → the model reflects bias
• model mistakes → model errors
• chatbots are good at … → chatbots are good for …
• hallucination → undesirable output
• goal → success condition