๐ ๐ก๐ฒ๐ ๐ผ๐ป ๐๐ถ๐ฟ๐ฟ๐ถ๐๐๐ง๐ฒ๐ฐ๐ต: ๐๐บ๐ฏ๐ต๐ฉ๐ฆ๐ต๐ช๐ค ๐๐ถ๐ต๐ฉ๐ฐ๐ณ๐ช๐ต๐บ ๐ข๐ฏ๐ฅ ๐๐ฐ๐จ๐ฏ๐ช๐ต๐ช๐ท๐ฆ ๐๐ท๐ฆ๐ณ๐ญ๐ฐ๐ข๐ฅ ๐ช๐ฏ ๐๐ข๐ณ๐จ๐ฆ ๐๐ข๐ฏ๐จ๐ถ๐ข๐จ๐ฆ ๐๐ฐ๐ฅ๐ฆ๐ญ๐ด
We often talk about hallucinations, overconfidence, and unreliable outputs in AI โ but what if these behaviors arenโt mysterious quirks at all?
In my latest piece, I connect decades of psychological research to what weโre seeing in modern LLMs and autonomous agents. From perceived authority to cognitive overload dynamics, this is about ๐๐ต๐ current systems behave the way they do and ๐ต๐ผ๐ that influences human judgement, trust, and decision-making.
๐ Read more: https://cirriustech.co.uk/blog/synthetic-authority-and-cognitive-overload-in-large-language-models/
Key themes explored:
โข How fluency becomes a proxy for competence
โข Why overload produces confident but unreliable responses
โข The psychological mechanics behind hallucination and affirmation
โข What โsynthetic authorityโ means for safe AI design
If youโre interested in responsible AI, system design, and the human side of automation, this one dives deeper than most.
Letโs rethink uncertainty, authority, and where true competence comes from. ๐ก
#AI #LLM #CognitiveScience #ResponsibleAI #SystemsDesign #Safety #HumanFactors