Cognitive psychology lab @UNSW https://xitter.cf/t.co/ZEuJ3T2dBF

Sydney, Australia
Joined August 2010
An integrative review chapter addressing whether ‘super-recognisers’ possess qualitatively different face processing expertise compared to the rest of us. Current evidence suggests not. osf.io/preprints/psyarxiv/sd…
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Are familiar and unfamiliar faces recognised using qualitatively different processes? We tested this using natural variation in TV viewing behaviour — individual differences evidence points to shared processing. doi.org/10.1016/j.cognition.…
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UNSW Face Lab retweeted
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Sounds like a great opportunity !
Looking for a PhD student. See ad in link in reply. I'm advertising there a project looking at eyewitness and forensic face identification but we can discuss more topics in my area. There's a funding call closing in Oct (see link) so let me know quick!
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Automating high stakes image processing does not remove human from the loop, it just changes their role…
GODFATHER OF AI ADMITS HE WAS WRONG ABOUT RADIOLOGISTS geoffrey hinton predicted in 2016 that within about 5 years radiologists wouldnt be reading scans anymore 10 years later he gives two reasons he got it wrong first, making scans cheaper and faster didnt mean hospitals suddenly needed fewer radiologists. it meant they could just do more scans and second, he admits he didnt really understand the job itself his picture of a radiologist came mostly from one former student who spent his time reading scans and barely talking to people the AI part actually went pretty close to plan. machines got really good at reading scans but making one part of a job cheaper doesnt automatically make the whole job disappear AI can shrink a task without shrinking the job
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How does metacognitive skill shape perceptual comparison performance? A new paper led by our postdoc Zoë Little finds people can identify which face matching decisions they might get wrong—and improve their accuracy by spending more time on these cases. doi.org/10.1186/s41235-026-0…
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UNSW Face Lab retweeted
Using AI helps people achieve higher grades and get their work done much faster, but they learn less and suffer on actual exams. I have seen this in my own large Intro Psych class: -the class average for open book exams is almost always 85% -after AI, the average shot up to 95% (because it was easy to use AI) -after I made the final cumulative exam in person (without AI) it went down to 68% It perfectly mirrors the results of this new research and poses a serious problem for education and work performance. We are going to see inflated performance even as people learn less: economist.com/graphic-detail…
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UNSW Face Lab retweeted
Unfamiliar face matching is difficult. The average person has an error rate ~20%. And it's hard to improve. In our new study, we find an 8% improvement in face matching performance via the "wisdom of the crowd within" effect. Paper: journals.sagepub.com/doi/abs…
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But bike-riding humans are even worse at drawing bikes than ChatGPT! As Richard Gregory observed in his studies of bike drawing …
As an avid cyclist, I was amused to see ChatGPT's “powerful new image engine" draw a bicycle with the "brake" label pointing to empty space where brakes are sometimes found on other bicycles. The point of these AI fails (regularly collected by @garymarcus) is not that LLMs are useless or unintelligent but that they think differently from humans, lacking explicit knowledge of reality and instead amalgamating billions of statistical generalizations. open.substack.com/pub/garyma…
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👉UNSW Face Lab is now on BlueSky 👈bsky.app/profile/unswfacelab…
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Interesting to see people make LLMs of you because you know what you would say and you can see the LLM is wrong. This is harder to judge when you make LLMs of other people bc you have nothing to judge the accuracy against. I will tell you my view of 90/10 cotton-synthetics 🧵
Derek Guy @openclaw agent is already paying off with the knowledge output 😄
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UNSW Face Lab retweeted
"Design is not just what it looks like and feels like. Design is how it works." — Steve Jobs
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“Always listen for what you can leave out.” — Miles Davis
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In our new review paper, Jonathon Phillips and I evaluate the current and future potential of #DeepLearning for modelling the face processing system in humans. Available at British Journal of Psychology @BPSOfficial bpspsychub.onlinelibrary.wil…
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🚨@UNSW Face Lab is hiring 3-year post-doc🚨 Please retweet and contact me directly for informal enquiries external-careers.jobs.unsw.e…
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Artificial intelligence can’t save us from natural stupidity.
The Pentagon flagged an image of the Enola Gay—the B-29 that dropped the bomb on Hiroshima—for removal, on DEI grounds, because of its name.
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