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Pearse Keane

@pearsekeane

UKRI Future Leaders Fellow, Institute of Ophthalmology, UCL @UCLEye and Moorfields Eye Hospital NHS Foundation Trust @Moorfields; Director @INSIGHTEyeHub ๐Ÿ‡ฎ๐Ÿ‡ช
Joined March 2011
1K Following 5.1K Followers 5K Posts

Latest posts 5

Pearse Keane @pearsekeane
Very cool work @chrisck ๐Ÿ™Œ
Eric Horvitz Verified account @erichorvitz Aug 4
High-stakes decisions with language models

We introduce 'decision-analytic steering' in this study: arxiv.org/pdf/2608.01361
In real-world decisions, different types of errors rarely have equal consequences. So, a system making recommendations under uncertainty must do more than predict what is likely to be true. It must also reflect the relative costs and benefits of acting or failing to act.
As an example, in emergency medical triage, missing a patient who needs immediate care is often far more costly than sending someone to the emergency department who ultimately did not need to go. It's critically important to consider that asymmetry.
We set out to investigate opportunities for decision-analytic steering by generating ROC curves for families of model. These sample curves showing the true positive and false positive rate for two models on a set of emergency medicine triage cases.
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Pearse Keane @pearsekeane
Shows reason I love @scmallaby books, whether hedge funds, VC or AI. On first read, you get a page-turning story... on second, you get concrete lessons.

@speedrun highlights some key lessons from THE INFINITY MACHINE that will be useful for anyone leading a creative team
Sebastian Mallaby Verified account @scmallaby Mar 31
This is a very smart take from @a16z's @speedrun : An attempt to extract lessons for company founders from my new book, THE INFINITY MACHINE. Founders need vision, but @DemisHassabis blew up his first startup by having too much vision. With his next startup, DeepMind, Demis learned how to balance vision and realism. speedrun.substack.com/p/the-fluency-โ€ฆ
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