Finn Lindgren

@FinnLindgren
213 Followers
128 Following
115 Posts
Chair of Statistics, U of Edinburgh; spatial statistics, comp. meth., software: INLA, excursions, inlabru
Homepagehttps://webhomes.maths.ed.ac.uk/~flindgre/
inlabruhttps://inlabru-org.github.io/inlabru/
R-INLAhttps://www.r-inla.org/
GitHubhttps://github.com/finnlindgren

@rmflight @hrbrmstr I’ve splurged a bit of an essay here, fair warning. I’m not an AI vegan 😭 so please don’t block. It’s just a scary environment for someone like me, who isn’t a “Senior Anything”, and has been told to use LLMs at work even though I didn’t really want to…

In response to the thread: I think of it as the LLM catch-22.

As Bob says, it can make senior devs/programmers/specialists more efficient, because they usually have literally decades of experience, meaning fantastic intuition, really solid skills, and a *broad* set of skills too. I think the idea that those seniors can confidently, and effectively, use and direct LLMs, is plausible, though I personally know a couple who haven’t found that to be the case.

But. It seems many of us broadly agree that LLMs will negatively impact learners who are meant to be acquiring I guess what I’d call “domain wisdom”. The earlier in that journey someone is, the less they should be using LLMs to do their work, because doing the work is the thinking. If you aren’t thinking, good luck learning anything. Domain wisdom requires domain knowledge, so I expect these people to be acquiring very little of either.

So, how do you get from being a learner (not meant to be using LLMs for the thinking) to a senior (where it’s ok to use them)? If you’re not already a senior, that’s the LLM catch-22. “My manager says I have to use LLMs if I ever want to be a senior, but I don’t know enough to be a senior because I’ve been using LLMs so much and for so long.”

In my opinion, senior teams and possibly even the government have to address this MEANINGFULLY. If memory serves, that’s what your recommendation was in your report, Bob. Employees like me will do whatever we have to, to survive, because we need the wage. Students will likewise use LLMs if it’s the path of least resistance, because let’s face it, many of them aren’t there to learn, and even if they are may sometimes feel pressured to take an easier route. (1/2)

Rcpp 1.1.1 on CRAN: Many Improvements in Semi-Annual Update
Seamless R and C++ Integration
https://dirk.eddelbuettel.com/blog/2026/01/10#rcpp_1.1.1
#rstats #rcpp

/cc @kevinushey

This is not an exaggeration:
There is not a single weather forecaster, TV meteorologist, airline pilot, computer scientist, or climate scientist in the WORLD whose work or life wasn't directly or indirectly improved or influenced by the science done at NCAR.

https://www.usatoday.com/story/news/politics/2025/12/16/trump-dismantle-national-center-atmospheric-research-climate/87798771007/

Trump moves to dismantle major US climate research center in Colorado

The Trump administration is breaking up the National Center for Atmospheric Research, taking aim at one of the world's leading climate research labs.

USA TODAY

RE: https://fosstodon.org/@ctoney/115728109719834552

Maybe I'm overreacting to this but I don't think R-universe should alter code blocks that are for users to copy-paste, such that the code no longer does what the accompanying text I wrote says it does. That seems not nice. #Rstats

More and more, generative models are looking like productivity tobacco. Promoted by biased research, it’s addictive, harmful, and the little benefit it has (nicotine is a somewhat effective ADHD drug, for example) cannot outweigh the fact that it’s hurting us all, directly and indirectly.

This shit is already turning out to be one of the most harmful tech innovations of the 21st century. It needs to be regulated at least as much as tobacco, if not banned outright from most economic spheres

i hope this email finds you well

I find it disillusioning to see the casual use of "AI" slowly creeping into our hacker circles. Most of the discussions about AI focus on the quality of its output. I think we're not doing a good job communicating its more fundamental dangers.

In this blog post I write about how tools shape who we are and why the resource intensiveness of AI is ingrained in its purpose. About the devaluation of skills, and power cycles.

Let me know what you think.

https://fokus.cool/2025/11/25/i-dont-care-how-well-your-ai-works.html

I don't care how well your "AI" works - fiona fokus

With the launch of "The Genesis Mission" (and everything else) this seems appropriate again.

https://diagrammonkey.wordpress.com/2025/06/28/what-is-the-right-number-of-cormorants/

@micefearboggis So they invent yet another weighting index based on myopic assumptions on author order that is only somewhat valid in a subset of academia. And consistently downweight the traditional place of statisticians in some applied fields that cannot function without those statisticians; “third author”. And those who decide on the use of such indices have insufficient statistical understanding to understand the limitations. Sigh.
🎓 We are pleased to share details of an upcoming hybrid series of short talks featuring #SSIFellow Hui Ling Wong, focusing on practical, research-oriented approaches to using Git.
This series of 15-minute talks will run every Tuesday from 14 October to 11 November. Find out more at
https://www.software.ac.uk/news/upcoming-event-git-researchers