π π‘π²π πΌπ» ππΆπΏπΏπΆπππ§π²π°π΅: ππΊπ―π΅π©π¦π΅πͺπ€ ππΆπ΅π©π°π³πͺπ΅πΊ π’π―π₯ ππ°π¨π―πͺπ΅πͺπ·π¦ ππ·π¦π³ππ°π’π₯ πͺπ― ππ’π³π¨π¦ ππ’π―π¨πΆπ’π¨π¦ ππ°π₯π¦ππ΄
We often talk about hallucinations, overconfidence, and unreliable outputs in AI β but what if these behaviors arenβt mysterious quirks at all?
In my latest piece, I connect decades of psychological research to what weβre seeing in modern LLMs and autonomous agents. From perceived authority to cognitive overload dynamics, this is about ππ΅π current systems behave the way they do and π΅πΌπ that influences human judgement, trust, and decision-making.
π Read more: https://cirriustech.co.uk/blog/synthetic-authority-and-cognitive-overload-in-large-language-models/
Key themes explored:
β’ How fluency becomes a proxy for competence
β’ Why overload produces confident but unreliable responses
β’ The psychological mechanics behind hallucination and affirmation
β’ What βsynthetic authorityβ means for safe AI design
If youβre interested in responsible AI, system design, and the human side of automation, this one dives deeper than most.
Letβs rethink uncertainty, authority, and where true competence comes from. π‘
#AI #LLM #CognitiveScience #ResponsibleAI #SystemsDesign #Safety #HumanFactors
