Beware not the tensors, but the prompters.

Willful blindness is stubbornly denying, or predisposing against noticing, intent where it was encoded and detectably salient. Willful blindness is semiotic false negative.

Pareidolia is the eager perception of meaningful, agent-intended patterns where no agent exists - or where the agent’s actual intent does not match the perceived meaning. Pareidolia is the semiotic false positive.

The unintuitive dog's balls problem (\(x)x)()struck again today, so I had to go back and revisit how native pipe works in #rstats https://t.co/3WsRzjMzzr

$$ \supset \cup \cap \in $$ #quartopub

New paper with @robertchisciure ! "Cognition all the way down 2.0: neuroscience beyond neurons in the diverse intelligence era" https://t.co/eXjwZPtkGj "This paper formalizes biological intelligence as search efficiency in multi-scale problem spaces, aiming to resolve

Politely Scraping Health Insurance Data by @joshfangmeier https://t.co/hPfOeZ1uUb

The more I think about language, the more it amazes me that people ever understand each other at all.” - Kurt Gödel (1906–1978)

new blog post: Of course, someone has to write imperative code to build reproducible data science pipelines. It doesn’t have to be you. https://t.co/BwISnTsdtT #Nix #Rstats

hmmm

Robert Lawrence Kuhn on what 350 different theories of consciousness reveal about reality

Cool short: What is a “cognitive lightcone?” According @drmichaellevin it’s the slice of reality any goal-directed system can care about. https://t.co/upWvXcs2A2

The 1.4 release of @duckdb supports using a DuckDB database to serve vector tiles! Of course, I had to try this out in R. Check it out: all 242,000 US Census block groups dynamically served as vector tiles from a DuckDB database, displayed on a MapLibre map from R in Positron.

"Attention is all you need".

I stole this idea and now use it with every single employee. It’s the best illustration I’ve seen of teaching someone to be high agency. It says there are 5 levels of work: Level 1: “There is a problem.” Level 2: “There is a problem, and I’ve found some causes.” Level 3:

The only Bible I take more s seriously than this is the Bible. (Also, the book is far from just about Bayes—in fact, it’s one of a very few to treat Bayes’ theorem as a derived, rather than fundamental, one. And the second half of the book isn’t about probability theory per se,

I've never seen the Python community embrace any tool faster than they did with uv. uv is likely the best Python tool of the last few years. If you aren't using it yet, stop what you are doing and look into it. If you are already a user, check out the attached cheatsheet.

Final version is out: aging as the result of loss of goal-directedness https://t.co/gqgBvEKx2U @BeneHartl @LPiolopez "Although substantial advancements are made in manipulating lifespan in model organisms, the fundamental mechanisms driving aging remain elusive. No

Show me your axioms and I’ll show you your conclusions.

7 reasons to use Bayesian inference! https://t.co/i4J3plGZsu