Shawn Manuel
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shwnmnl.bsky.social
Shawn Manuel
@shwnmnl.bsky.social
120 followers 570 following 100 posts
ψ/AI PhD Student @ Université de Montréal || Hacker || Metacognizer || Exploring qualia space computationally shwnmnl.github.io
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🚀 Thrilled to share my first first-author paper, published in PCN !

We explore how our unique subjective experiences of the world affect mental health using a combination of psychometrics, NLP and genAI.

🔗 Read it here: doi.org/10.1111/pcn....

🧵👇
Towards a latent space cartography of subjective experience in mental health
Aims The way that individuals subjectively experience the world greatly influences their own mental well-being. However, it remains a considerable challenge to precisely characterize the breadth and...
doi.org
this is just a quick riff on what struck me personally, so i highly encourage giving it a listen as the entire episode felt like a tour de force in epistemic humility, something i’d like to emulate
megan ends w the fact that phil/sci doesnt happen in a vacuum – its a social enterprise, which resonates w some thoughts ive had about the possibility of discovering the ultimate nature of reality without being able to convince other people (spoiler: i dont think its possible/meaningful)
put simply (perhaps too simply) any sigils or scribbles we take to be “objective” proof of a claim will ultimately be revealed as such only in their capacity for “fittedness” with individual/collective subjective experiences
in my own musings on Consciousness, i’ve similarly been curious abt the possibility of axing certain “isms” but keeping others, like physicalism, albeit with some caveats
(warning, blatant speculation in attached image)
for instance, physics may well be a useful framework for understanding many phenomena, but may not be an ideal lever at all levels of analysis, or as lauren puts it:
“depending on your explanatory target of interest, the factors that give you control might be at a higher scale”
i also enjoyed hearing lauren caution against reductionism, while still carving out a place for a kind of physicalism that doesn’t exaggerate its place on the explanatory continuum
i like to think of myself as a philosophically interested scientist-in-training (with still a lot to learn!) so it was validating to hear her perspective that interdisciplinarity shouldnt *just* happen between two people from different fields
as well as her defense of bridge-building as not only a worthwhile endeavor, but a legitimate and necessary kind of expertise to cultivate
i enjoyed hearing abt megan’s collaboration w someone outside of her field and w whom she was able to converge on a common “problem shape” despite differences in lower-level details, as an example to follow for younger sciences;
loved this incredibly lucid conversation with @meganakpeters.bsky.social and @laurennross.bsky.social about the need for synergy between phil/sci, esp wrt consciousness

🧵of my highlights
Why Science and Philosophy Need Each Other | Lauren Ross & Megan Peters
Spotify video
open.spotify.com
Reposted by Shawn Manuel
LLMs have convincingly demonstrated that coding is the easiest activity, maths is medium hard, and having taste is the hardest
somehow this isn’t persuasive to many people, what gives?
the fact that this conclusion is deeply scientifically unsexy is also something im wrestling with, but i dont think its irreconcilable with scientific practice, just a bit paradigmatically uncomfortable atm (though winds may be changing)
i’ve heard materialism justified through an appeal to the “historically winning team”, but then how do we get exhaustive quantitative accounts of fundamentally qualitative things? the Qt stuff exists to index Ql regularities, so idk how the map can ever become the territory
im trying to take very seriously that there is no 3rd person objective perspective (“view from nowhere”) that would truly rid me of the fundamentally subjective reasons for wanting one in the first place (ie wanting is subjective)
very interesting episode, thanks. as someone who’s been flirting with idealism, im curious what lines of argumentation you feel are most compelling when discussing these issues w materialist colleagues? @evanthompson.bsky.social
drawing out my “phenomenology first” view

to be explanatory and useful, any claim ultimately has to cache out in terms consistent with our individual and collective subjective experiences

🧵
some obvious shortcomings lead many to think that LLMs can’t be useful thought companions, but they are outweighed by the benefits of having an infinite sounding board

the outputs shouldn’t replace your own thoughts, but help to refine them

open.substack.com/pub/shifting...
Reposted by Shawn Manuel
How reliable is what an AI says about itself? The answer depends on whether models can introspect. But, if an LLM says its temperature parameter is high (and it is!)….does that mean it’s introspecting? Surprisingly tricky to pin down. Our paper: arxiv.org/abs/2508.14802 (1/n)
would love to lend a hand as open-ended verbal reports + LLMs is in my wheelhouse. can share some ideas in DMs.
Reposted by Shawn Manuel
i do think people don't realize that gen AI systems are not introspecting to explain their own behavior. they're giving you output based on their training data, which certainly includes information about how they work, but not why they took certain specific actions
no it wasn’t and no it didn’t
Reposted by Shawn Manuel
"Understanding" is a pretty beautiful compound word...in this case "under" has a somewhat archaic meaning of "among" (also still present in "under these circumstances.")

So understanding is "Standing among" as-in a mind that figuratively shares space with the concepts in question.
“if you study glial cells are you an astroscientist?” – @dariusliutas.bsky.social
#neuroskyence
a slept on aspect of making new friends is retelling your stories, getting to know/weave yourself again
“the most important words are the ones you understand” – a friend I met in Greece
a distinction i miss in french is between “trust” and “confidence”, both of which get folded into “confiance”
Reposted by Shawn Manuel
Check out our take on Chain-of-Thought.
I really like this paper as a survey on the current literature on what CoT is, but more importantly on what it's not.
It also serves as a cautionary tale to the (apparently quite common) misuse of CoT as an interpretable method.
Excited to share our paper: "Chain-of-Thought Is Not Explainability"! We unpack a critical misconception in AI: models explaining their steps (CoT) aren't necessarily revealing their true reasoning. Spoiler: the transparency can be an illusion. (1/9) 🧵
Reposted by Shawn Manuel
We @smfleming.bsky.social, Marion Rouault and @seowxft.bsky.social and I) have posted a reply osf.io/preprints/ps... to a preprint that recently raised concerns about the validity of associations between mental health and metacognition from online studies. I hope you can take the time to read it.
OSF
osf.io