Dominic Lammar
@dominiclammar.bsky.social
Doctoral student at @TUM_STS, Technical University of Munich. Working on responsible science communciation - and what this may mean in the field of AI.
Reposted by Dominic Lammar
One thing we’re going to see a *lot* of: Pieces that appear to explore an intellectually provocative question inspired by AI, but that assume a premise (in this case “friendship with a chatbot is possible”) that’s a) nonsensical and b) perfectly aligned with the aims of AI marketing
What Would a Real Friendship With A.I. Look Like? Maybe Like Hers.
www.nytimes.com
July 20, 2025 at 3:31 PM
One thing we’re going to see a *lot* of: Pieces that appear to explore an intellectually provocative question inspired by AI, but that assume a premise (in this case “friendship with a chatbot is possible”) that’s a) nonsensical and b) perfectly aligned with the aims of AI marketing
How does this speak to AI hype?
We show that hype is central to AI-in-general’s abstract, economic narratives.
But even the concrete, contextual stories of AI-in-particular often rely on abstract, hyped narratives of AI-in-general.
In short: contextual detail is no antidote to AI hype!
We show that hype is central to AI-in-general’s abstract, economic narratives.
But even the concrete, contextual stories of AI-in-particular often rely on abstract, hyped narratives of AI-in-general.
In short: contextual detail is no antidote to AI hype!
May 5, 2025 at 10:36 AM
How does this speak to AI hype?
We show that hype is central to AI-in-general’s abstract, economic narratives.
But even the concrete, contextual stories of AI-in-particular often rely on abstract, hyped narratives of AI-in-general.
In short: contextual detail is no antidote to AI hype!
We show that hype is central to AI-in-general’s abstract, economic narratives.
But even the concrete, contextual stories of AI-in-particular often rely on abstract, hyped narratives of AI-in-general.
In short: contextual detail is no antidote to AI hype!
We found that ‘AI’ is constructed in two ways:
→ AI-in-general: abstract, hyped, future-oriented, often tied to economic promises
→ AI-in-particular: concrete, contextual, grounded in local stories
Both constructions shape how we imagine AI futures, and both raise the issue of AI hype.
→ AI-in-general: abstract, hyped, future-oriented, often tied to economic promises
→ AI-in-particular: concrete, contextual, grounded in local stories
Both constructions shape how we imagine AI futures, and both raise the issue of AI hype.
May 5, 2025 at 10:36 AM
We found that ‘AI’ is constructed in two ways:
→ AI-in-general: abstract, hyped, future-oriented, often tied to economic promises
→ AI-in-particular: concrete, contextual, grounded in local stories
Both constructions shape how we imagine AI futures, and both raise the issue of AI hype.
→ AI-in-general: abstract, hyped, future-oriented, often tied to economic promises
→ AI-in-particular: concrete, contextual, grounded in local stories
Both constructions shape how we imagine AI futures, and both raise the issue of AI hype.