Teaching advice: "Never hesitate to sacrifice truth for clarity."
http://swcarpentry.github.io/swc-releases/2017.02/instructor-training/reference/ , "Top Ten" (about halfway down the page), item 6.
| Github | @eschnett |
| @eschnett | |
| https://www.linkedin.com/in/eschnett/ | |
| ORCID | https://orcid.org/0000-0002-4518-9017 |
Teaching advice: "Never hesitate to sacrifice truth for clarity."
http://swcarpentry.github.io/swc-releases/2017.02/instructor-training/reference/ , "Top Ten" (about halfway down the page), item 6.
A long shot, maybe, but not without merit. A lawsuit against six academic publishers alleging that the defendants:
a) refuse to compensate scientists for their manuscripts and review
b) refuse to compete by implementing Ingelfinger Rule
c) prohibit authors from sharing their work
https://www.lieffcabraser.com/antitrust/academic-journals/
It may be worth considering filing an Amicus Brief with the numerous EU Commission market analyses that confirm the monopoly status of these publishers.
Academic Journal Publishers Antitrust Litigation On September 12, 2024, Lieff Cabraser and co-counsel at Justice Catalyst Law filed a federal antitrust lawsuit against six commercial publishers of academic journals, including Elsevier, Springer Nature, Taylor and Francis, Sage, Wiley, and Wolters Kluwer, on behalf of a proposed class of scientists and scholars
God this is fucking incredible. Please take my word for it and read
I have played a little bit with OpenAI's new iteration of #GPT, GPT-o1, which performs an initial reasoning step before running the LLM. It is certainly a more capable tool than previous iterations, though still struggling with the most advanced research mathematical tasks.
Here are some concrete experiments (with a prototype version of the model that I was granted access to). In https://chatgpt.com/share/2ecd7b73-3607-46b3-b855-b29003333b87 I repeated an experiment from https://mathstodon.xyz/@tao/109948249160170335 in which I asked GPT to answer a vaguely worded mathematical query which could be solved by identifying a suitable theorem (Cramer's theorem) from the literature. Previously, GPT was able to mention some relevant concepts but the details were hallucinated nonsense. This time around, Cramer's theorem was identified and a perfectly satisfactory answer was given. (1/3)
Four Thieves Vinegar Collective is an anarchist collective that teaches people how to make low-cost versions of pharmaceuticals — a philosophy they call “right to repair for your body.” @404mediaco’s @jasonkoebler spoke to chief spokesperson Mixæl Swan Laufer about the group’s motivation, technology, and his hopes that they could eventually disband. “Charging astronomical prices to people who are dying is immoral, and Four Thieves seeks to normalize the idea of making some types of medicine yourself,” writes Koebler.
https://www.404media.co/right-to-repair-for-your-body-the-rise-of-diy-pirated-medicine/
#Science #Medicine #Healthcare #Pharmaceuticals #USHealthcare #Newstodon #NewstodonFriday #FollowFriday
Today I learned that a number sign, as in
```
# {% include "include/sources_pathfinder.j2" %}
```
does not actually disable Jinja code. Instead it does nothing.
We present AsterX, a novel open-source, modular, GPU-accelerated, fully general relativistic magnetohydrodynamic (GRMHD) code designed for dynamic spacetimes in 3D Cartesian coordinates, and tailored for exascale computing. We utilize block-structured adaptive mesh refinement (AMR) through CarpetX, the new driver for the Einstein Toolkit, which is built on AMReX, a software framework for massively parallel applications. AsterX employs the Valencia formulation for GRMHD, coupled with the Z4c formalism for spacetime evolution, while incorporating high resolution shock capturing schemes to accurately handle the hydrodynamics. AsterX has undergone rigorous testing in both static and dynamic spacetime, demonstrating remarkable accuracy and agreement with other codes in literature. Using subcycling in time, we find an overall performance gain of factor 2.5 to 4.5. Benchmarking the code through scaling tests on OLCF's Frontier supercomputer, we demonstrate a weak scaling efficiency of about 67%-77% on 4096 nodes compared to an 8-node performance.
helloWorldFromC
posted by @[email protected] - https://reddit.com/r/ProgrammerHumor/comments/1dgs743/helloworldfromc/