Life-long student โ€ข Uncertainty, frames, decisions, #rstats โ€ข Learner, teacher โ€ข EIKIFJB โ€ขโœโ€ข Father of many, husband to one โ€ข "Problem well put is half-solved"

Lund, Sweden
Joined January 2010
Beware not the tensors, but the prompters.
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I was today years old when I learned that metaphysical commitments are called hinges. #philosophy #wittgenstein
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Deemah ๐Ÿ‡บ๐Ÿ‡ฆ ๐Ÿ‡ณ๐Ÿ‡ด ๐Ÿ‡ธ๐Ÿ‡ช retweeted
It is by logic that we prove, but by intuition that we discover. To know how to criticize is good, to know how to create is better. -- H. Poincarรฉ, Science and Method (1908), Part II, Ch. 2.
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Deemah ๐Ÿ‡บ๐Ÿ‡ฆ ๐Ÿ‡ณ๐Ÿ‡ด ๐Ÿ‡ธ๐Ÿ‡ช retweeted
Here it is - the official, revised, peer-reviewed version of my Platonic Space paper. mdpi.com/2409-9287/11/5/161 Of all the many unpopular positions Iโ€™ve taken over the decades - bitter controversies around the origin of left-right asymmetry in embryogenesis, bioelectricity and genetics, diverse intelligence, etc., this one has by far generated the most pushback: serious (grateful for those!) and energetic attempts to move me to other views, pleas to just drop it and not talk about it (for several different reasons), nasty emails and accusations, impacts on reviews of papers that have nothing to do with this, etc. Kind of amazing to me how incendiary this is. What can I say... Our job is to call it as we see it, and right now for me, this is it. Apologies to collaborators and colleagues for any shrapnel! Time will tell if this pans out or not; I've placed my bets. And btw, if you think this stuff is weird and uncomfortable, just waitโ€ฆ Thereโ€™s much more on the way. The knob turns slowly but as long as the data keep coming, I'm going to say what I think it all means and follow it to the next steps it enables. Buckle up!
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You must imagine Sisyphus happy
์„ธํฌ์•ˆ์—์„œ ๋ฌผ์งˆ์„ ์šด๋ฐ˜ํ•˜๋Š” ์šด๋™ ๋‹จ๋ฐฑ์งˆ์˜ ๋ชจ์Šต ํ‚ค๋„ค์‹  ๊ท€์—ฝ๋„ค
Readers added context they thought people might want to know
์ด ์˜์ƒ์˜ ํ‚ค๋„ค์‹ ์€ ๊ตฌ์กฐ ๊ธฐ๋ฐ˜ ์ปดํ“จํ„ฐ ์ƒ์„ฑ ์• ๋‹ˆ๋ฉ”์ด์…˜์œผ๋กœ, ์‹ค์ œ ์„ธํฌ ๋‚ด๋ถ€ ํ˜„๋ฏธ๊ฒฝ ์˜์ƒ์ด ์•„๋‹™๋‹ˆ๋‹ค. ๋‹จ๋ฐฑ์งˆ ํฌ๊ธฐ๊ฐ€ ๋„ˆ๋ฌด ์ž‘์•„ ์ผ๋ฐ˜ ํ˜„๋ฏธ๊ฒฝ์œผ๋กœ ์ด๋Ÿฐ ๋ชจ์Šต ๊ด€์ฐฐ ๋ถˆ๊ฐ€ํ•ฉ๋‹ˆ๋‹ค. en.wikipedia.org/wiki/Kinesin easternblot.net/2016/02/12/imaโ€ฆ physicstoday.aip.org/news/superresoโ€ฆ
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Deemah ๐Ÿ‡บ๐Ÿ‡ฆ ๐Ÿ‡ณ๐Ÿ‡ด ๐Ÿ‡ธ๐Ÿ‡ช retweeted
Scientists and philosophers have fallen for a tempting buzzword: โ€œemergence.โ€ Itโ€™s invoked to explain life, consciousness, and the flow of time: when simple parts combine, it is claimed, they sometimes produce new entities with powers their parts could never predict. But philosopher John Heil calls this out as an intellectual sleight of hand. โ€œEmergence,โ€ he argues, doesnโ€™t reveal hidden truthsโ€”it masks our ignorance, mistaking gaps in explanation for gaps in reality. "Philosophers disagree on many thingsโ€”on the nature of causation, for instanceโ€”but disagreements over emergence are more unsettling," argues Heil. Itโ€™s time to drop the magic word and face the real challenge: uncovering, in concrete detail, how simple parts can give rise to complex wholes. Tap the link now to read more. iai.tv/articles/emergence-exโ€ฆ
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Deemah ๐Ÿ‡บ๐Ÿ‡ฆ ๐Ÿ‡ณ๐Ÿ‡ด ๐Ÿ‡ธ๐Ÿ‡ช retweeted
Pleased to announce that Tuesday my new book came out. But the three free version is here, and I thought Iโ€™d share what i consider to be the strengths of it. 1/n mixtape.scunning.com
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Deemah ๐Ÿ‡บ๐Ÿ‡ฆ ๐Ÿ‡ณ๐Ÿ‡ด ๐Ÿ‡ธ๐Ÿ‡ช retweeted
Announcing: my final Cornell-era academic project - launching today! It's called "Bayesian Decision-making Algorithms" - a book which tries to write down everything important I've learned in ten years of research. Chapters 1 and 2 are now online! ๐Ÿ‘‡ Link and more below! ๐Ÿ‘‡ URL: bayesianalgorithms.com Decision-making is ubiquitous in life - taking actions, seeing what happens, learning, doing a better job next time. In doing so, we plan using our mind's model of reality. Bayesian decision-making casts this paradigm into math - by using a Bayesian model to quantify uncertainty about reality. The question becomes: how do we use this uncertainty to take better actions? This is not as easy as it looks. Due to the presence of explore-exploit tradeoffs, maximizing expected value is often bad: strategies that do so can get stuck in bad actions because they don't try enough new things to correctly learn about the world. The fix is to consider more sophisticated strategies for exploration. In this book, I'll show you the major known algorithm classes which balance tradeoffs like the above, and will teach you how they work. This book represents the conclusion of an intellectual journey that began at the start of my twenties. Its primary goal is to inspire the next generation to learn about Bayesian thinking, to enable others to do bigger and more creative things with it. Especially in realistic situations where we do not assume the Bayesian model exactly matches reality. In particular, I think there is a chance Bayesian decision-making is one of the "right abstractions" for understanding how large language models actually work, including how they handle exploration. You should consider working on this! I'm writing the book build-in-public style - I'll be posting other chapters when they're done, which is hopefully soon. I know exactly what I want to write, the remaining work is to do so. Stay tuned for that. I don't know how long it will take me to finish. Among my ambitions, the book is number two on the priority list - nonetheless, writing it is possible, because priority one is bottlenecked by the number of days in a year, not the number of hours in a day. More on that another time. In the meantime, I'd love your comments! Please have a look, and tell me what you think!
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Deemah ๐Ÿ‡บ๐Ÿ‡ฆ ๐Ÿ‡ณ๐Ÿ‡ด ๐Ÿ‡ธ๐Ÿ‡ช retweeted
"Mathematical Methods in Data Science (with Python)" by Sebastien Roch mmids-textbook.github.io
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Deemah ๐Ÿ‡บ๐Ÿ‡ฆ ๐Ÿ‡ณ๐Ÿ‡ด ๐Ÿ‡ธ๐Ÿ‡ช retweeted
Statistical Rethinking 2026 is done: 20 new lectures emphasizing logical & critical statistical workflow, from basics of probability to causal inference to reliable computation to sensitivity. It's all free, made just for you. Lecture list & links: github.com/rmcelreath/stat_rโ€ฆ
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Deemah ๐Ÿ‡บ๐Ÿ‡ฆ ๐Ÿ‡ณ๐Ÿ‡ด ๐Ÿ‡ธ๐Ÿ‡ช retweeted
Why do two people watch the same video, read the same headline, or witness the same event and walk away with completely different conclusions? The answer isnโ€™t stubbornness or bad faith. Itโ€™s the science of perception. Learn more: at.apa.org/34c474
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Deemah ๐Ÿ‡บ๐Ÿ‡ฆ ๐Ÿ‡ณ๐Ÿ‡ด ๐Ÿ‡ธ๐Ÿ‡ช retweeted
This insightful article breaks down the Jacobian, explaining how matrix determinants scale space, distort areas, and make complex coordinate transformations like polar and spherical coordinates actually make sense. Whether you're optimizing machine learning models or solving multidimensional integrals, grasping the Jacobian is essential. proswit.com/jacobian_explainโ€ฆ
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Deemah ๐Ÿ‡บ๐Ÿ‡ฆ ๐Ÿ‡ณ๐Ÿ‡ด ๐Ÿ‡ธ๐Ÿ‡ช retweeted
Interviewer: What's your biggest strength? Me: Machine Learning. Interviewer: What's 6 + 9? Me: 0. Interviewer: Incorrect. It's 15. Me: It's 15. Interviewer: What's 4 + 20? Me: It's 15.
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