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Pragya Singh @pragyasingh.bsky.social · 23/08/2025

Participants self-reports are often treated as "ground-truth". But when we asked participants to describe their process of annotating their emotions, a different story emerged. They brought past experiences, narratives, perception towards the stimulus, experiment, and emotions into the picture.

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Pragya Singh @pragyasingh.bsky.social · 23/08/2025

🧵Let’s rethink how we design studies with participants as active interpreters, not just data points. “Translating Emotions to Annotations,” explores the participant's perspective. We found: -Signal data and self-reports ≠ data, -Participants aren’t passive sensors, they co-interpret signals #cscw

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Pragya Singh @pragyasingh.bsky.social · 01/04/2025

Anthropic just dropped - "Tracing the thoughts of a large language model" - www.anthropic.com/news/tracing... - highly relevant for understanding LLM behind the scenes.

anthropic.com

Tracing the thoughts of a large language model

Anthropic's latest interpretability research: a new microscope to understand Claude's internal mechanisms

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Pragya Singh @pragyasingh.bsky.social · 26/03/2025

In the evolving world of AI it has became kind of mandatory to keep "AI in loop" to catchup with train of advancement, but it is crucial that in midst of it we don't loose what makes us human! Coz "human in loop" means dependence while "AI in loop" is agency.

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Pragya Singh @pragyasingh.bsky.social · 22/03/2025

ChatGPT has become the ear that listens when no one else does. But seeing this made me realize how deeply people rely on AI for emotional validation—it’s alarming. It’s time we focus on building emotional literacy and openness, so people turn to each other, not machines. openai.com/index/affect...

openai.com

Early methods for studying affective use and emotional well-being on ChatGPT

An OpenAI and MIT Media Lab Research collaboration.

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