Can we just call AI something else for a little bit
2•ChaseRensberger•4h ago
I’m down to keep talking about it and I know just saying Artificial Intelligence is maybe too much to ask of people but can we just call AI something else for a while. Like what if we rename it to computer brains for a bit. I really just can’t hear those two letters next to each other one more time.
Comments
sherdil2022•4h ago
This is what ChatGPT gives for the above prompt - which I guess you could’ve done too!!!
It sounds like you’re echoing a growing sentiment—people are feeling fatigued by the term “AI”, even if the underlying technology remains important and fascinating. There’s a case to be made for reframing the conversation with more precise or refreshing terminology.
Here are a few alternative terms or framings that could shift the tone or focus:
1. Cognitive Tools
Emphasizes augmentation rather than replacement. Think of it as an assistant, not a replacement brain.
2. Synthetic Intelligence
More neutral and technically descriptive. Doesn’t carry the Hollywood baggage of “AI.”
3. Machine Assistants / Digital Assistants
Grounded in function, not hype. This feels more relatable, especially in business and productivity contexts.
4. Automated Reasoning Systems
Focuses on what these systems do rather than what they are.
5. Language Engines / Code Engines
For LLMs and coding copilots, this term narrows the focus to specific domains, which can help with clarity.
6. Model-Based Systems
Technical and grounded—useful when talking to engineers or product teams.
Or if the goal is just to avoid the buzzword soup entirely, using role-based language like “copilot,” “advisor,” or “co-creator” can work wonders in keeping conversations productive.
ChaseRensberger•3h ago
I would’ve asked a language model if I wanted a language model response. Have a good day.
sherdil2022•3h ago
Yes indeed! This is a tongue-in-cheek response and portends to what is going to happen to discussions - and also to our thought processes. I found it easier to ChatGPT it than spend time and think about what we should instead call AI. I don’t find the point these days to spend time or energy on something that I can ChatGPT away - and it kind of scares me.
baobun•2h ago
"LLM(s)" is already established for a lot of the contemporary. "Generative language models" also fits. "Generative ML" if you want to be more generic.
sherdil2022•4h ago
It sounds like you’re echoing a growing sentiment—people are feeling fatigued by the term “AI”, even if the underlying technology remains important and fascinating. There’s a case to be made for reframing the conversation with more precise or refreshing terminology.
Here are a few alternative terms or framings that could shift the tone or focus:
1. Cognitive Tools
Emphasizes augmentation rather than replacement. Think of it as an assistant, not a replacement brain.
2. Synthetic Intelligence
More neutral and technically descriptive. Doesn’t carry the Hollywood baggage of “AI.”
3. Machine Assistants / Digital Assistants
Grounded in function, not hype. This feels more relatable, especially in business and productivity contexts.
4. Automated Reasoning Systems
Focuses on what these systems do rather than what they are.
5. Language Engines / Code Engines
For LLMs and coding copilots, this term narrows the focus to specific domains, which can help with clarity.
6. Model-Based Systems
Technical and grounded—useful when talking to engineers or product teams.
Or if the goal is just to avoid the buzzword soup entirely, using role-based language like “copilot,” “advisor,” or “co-creator” can work wonders in keeping conversations productive.
ChaseRensberger•3h ago
sherdil2022•3h ago