@93vintagejones@wself definitely has an overpowering LLM smell, the too-neat aphorism "proceduralized itself to the point where procedure no longer mediates trust but replaces it" is particularly egregious. Odd because Will Self has been a critic of AI generated prose - Is this some kind of test?
@JuliaEMcCoy Kinda true, but thinking properly/building effective world models requires some memorisation. There's no way around it. @daisychristo has written extensively and V persuasively about this
I used to be skeptical about ensemble methods in ML (because of the danger of the models' amplifying one another's error, rather than cancelling them out) but the wisdom of the crowds does seem to work beautifully in most instances.
A small but underappreciated way to reduce LLM hallucination is to feed outputs from one model into a different model for review (this works a lot better than getting the LLM to mark its own homework).
For exactly the reasons Voss explains here: labelling allows the listener to learn much more quickly (Perel has only 1 counselling session per episode) AND allows her to build rapport, even (maybe esp) if the client corrects her labeling of their emotions
Faacinating methodological parallels between high stakes hostage negotiation and therapy - emotional Jedi @EstherPerel uses 'labeling' (describing someone's feelings out loud to them) in practically every episode of 'Where Should We Begin?' https://t.co/OxE3NLuFfB
Interesting takedown of various explanations for massive decline in adolescent mental health, i'd liked the idea that a decline in 'locus of control' developed through unsupervised play was important but the dates don't line up to be sufficient w/o tech https://t.co/hfWZgkyF4S
We're piloting workshops to highlight the linked administrative datasets available for public good research across the UK, with @UKStatsAuth💡
Interested in hosting an event like this for your research organisation? Find out more and get in touch ⬇️
https://t.co/724dSc9ZWW
Are you interested in a PhD studentship on quantitative research using linked #AdministrativeData? ADR UK are happy to announce we will be funding @ESRC Doctoral Training Partnerships later this year! Check out the upcoming opportunities: https://t.co/KjZjlDUaAW #DataDrivenChange
Our new 'What is research-ready data?' roundtable report details a discussion exploring what we mean by research-ready #data, how we can address the challenges, and the importance of transparency
👉 https://t.co/UotkaxXA8Z
#DataDrivenChange#AdministrativeData
This guest post by @BalintStewart explains how @adr_uk is revolutionising access to government-held data to enable research on the lives of children and young people for better policy decisions #linkeddata https://t.co/Fpo58lWOtJ
“It is inspiring to see momentum grow for better, broader, safer use of health data across so many sectors.”
We welcome the recommendation from @bengoldacre’s review that #TrustedResearchEnvironments become the norm for #DataAccess for research🔢
https://t.co/vDcDSEeMLv (1/5)