undrendo
mastodon 4.7.2I'm just a natural philosopher for fun
#OnePunchMan #BusterKeaton #physics #Bayesian #RobertMusil #ItaloCalvino #satori #introvert #misophonia #rstats #UruseiYatsura #anime #manga #linux #Emacs #KDE #dejavufonts #generalrelativity #scihub
So:
- you make claims without supporting evidence,
- you simply dismiss as "full of shit" any evidence that's inconvenient to you,
- you just call others "stupid".
I don't know if you think you're smart, but with these traits the other people see very clearly that you aren't different from a flat-earther, and will treat your claims accordingly. Guess who's the one "full of shit".
Bye bye Mr Flat-Earth.
Nope. The whole IT sector uses about 3–5% of global electricity, so poor home insulation is a much bigger problem overall.
Source?
We call it a statistical method, or more precisely a stochastic system. Because, to a large extent, human behaviour itself can be modelled as a stochastic process.
Source? In fact this is false. Human behaviour includes more than a stochastic process, even though it may adopt stochastic heuristics to speed up some computational parts. This is also why LLMs are technically speaking not AI. An AI includes, as human reasoning does, an internal world model and the basic set of Boolean probability-logic rules. See for instance Russell & Norvig's Artificial Intelligence: A Modern Approach (http://aima.cs.berkeley.edu/global-index.html) or Pearl's older Probabilistic Reasoning in Intelligent Systems (https://doi.org/10.1016/C2009-0-27609-4) LLMs are, instead, just Markov chains (https://doi.org/10.48550/arXiv.2410.02724) A modern robot vacuum cleaner is more "AI" than an LLM.
This is also the reason why the larger the software project you apply an LLM to, the more likely the failure. Such kind of application requires larger and larger string correlations, which are therefore more and more uncertain and fault-prone, and these faults are therefore also more difficult to spot. Such kind of applications may also require new or innovative kinds of solution, which again are less likely to be stumbled upon by an LLM.
The problems you face when communicating with LLMs are the same ones you face when communicating with people, because statistically speaking an LLM mimics how people communicate.
No, because humans, and also proper AI, have a "logic engine" underneath. It may require some effort to bring the logic engine to the fore instead of poor heuristics, but it can be done (related: Kahneman's Thinking, Fast and Slow, and the research cited there). With LLM it can't be done because there's no logic engine at all there.
**Edit**: removing and then reinstalling both `rlang` and `vctrs` packages seems to have solved this problem!
Good day R colleagues! Wonder if anyone has any advice: I just updated R (on Kubuntu) to 4.6.0. When updating packages I get this SETLENGTH error:
unable to load shared object '/usr/local/lib/R/site-library/vctrs/libs/vctrs.so':
/usr/local/lib/R/site-library/vctrs/libs/vctrs.so: undefined symbol: SETLENGTH
it happens not only with `vctrs` but also with `rlang`. Is it something that broke with the R update? how to fix?
Cheers!
@nshephard@fosstodon.org @tarsius@fosstodon.org
Thank you Neil! 🙏 Deleting the .../elpa directory was key for me as well. Then calling M-x package-refresh-contents and M-x package-install-selected-packages installed the "new" versions of the packages.
Thank you to the nudge to check out use-package! I was keeping on postponing that, now I've updated my init.el :)

