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He needs those parts for his spaceship, he's going to otter space.🚀

Talk about wildly anti-patterned. Trying to change a password on an Office365 account. If you paste into the password box, you get a message along the lines of "password cannot contain username". I promise the random string I was pasting contained *no similarity* to the user name. They made me actually type it. Twice. So it's shorter and simpler because who has the time?

TIL:

1. Using an otherlanguage environment in the abstract environment produces spurious “unresolved references” that can never be resolved. Using otherlanguage* seems to avoid this problem.

2. biber sometimes simply stops working. The solution is to delete its cache, e.g., by saying rm -rf $(biber --cache)

Is it just me, or has become very brittle?

Digital History and Theory
An Open Conversation on the Futures of Digital Scholarship
March 3-4, 2023 - online and in person
For more information, visit the event website: historyandtheory.org/digitalht

no less than eight (8!) #philosophy lectureships at #Utrecht University: edu.nl/8xfhx Please apply if you are interested, or share with suitable candidates. Deadline for applications: 26 February 2023.
#jobs #academia #ethics #politicalphilosophy

Careful, mentioning the wisdom of our ancestors can get you defenestrated.

Fantastic project by @mfenner ! Check it out:

An Archive for Scholarly blogs

DOIs for scholarly blog posts!

upstream.force11.org/rogue-sch

#openscience

So OpenAI just released a detector of AI-generated text, I assume because of concerns in education / homework.

openai.com/blog/new-ai-classif

Maybe this is good?

No, it's very bad.

They claim 26% true positives, 9% false positives. Assume 10% of submitted homework is chatgpt generated, you get the classic counterintuitive outcome of poor predictive power: if a homework is flagged, there's a 3:1 chance it's *human* generated.

This is going to cause a lot of harm. It should be immediately recalled.

All right, folks, here are some great links about #ChatGPT (espeically for educators)

tl;dr: Don't panic

* Sarah Elaine Eaton's talk "Academic Integrity and Artificial Intelligence: Implications for Plagiarism and Academic Writing" is available on YouTube: youtube.com/watch?v=9QNNPVSC24

* Nature has a word for publishers: nature.com/articles/d41586-023

* The ultimate link list to English language sources (and soon French): pupp.uqo.ca/en/artificial-inte

#AcademicIntegrity #ArtificialIntelligence #AI

OpenAI released a tool which purports to detect AI-generated text. At the highest end of detection, it labels text "possibly" or "likely" AI-generated. 21% of human-written text falls under "possibly" and 9% of "likely" does. That's 3 in 10 students being defamed and/or harmed.

Just like other providers of academic surveillance software, OpenAI states that their detector "should not be used as a primary decision-making tool".

It will be, though. And harm will follow.

openai.com/blog/new-ai-classif

Important @garymarcus on the "uncanny cognitive valley" in which seemingly good enough AI leads to neglect and inattention garymarcus.substack.com/p/the-

"As generative media gets better, we have this notion that at any point, you're gonna be able to turn on the future equivalent of Netflix and watch a show perpetually, nonstop as much as you want."

#AI #entertainment #media
entertainment.slashdot.org/sto

It has become increasingly clear to me that the wide availability of AI-based text generation tools coupled with the "publish-or-perish" incentive of the current scientific publishing system is a dangerous mix, which puts academia on a straight path to becoming a cargo cult. So I wrote an essay about it. Below is a short summary: 1/

lookalikes.substack.com/p/publ

#scicomm #academia #llm #chatgpt #publishing #science #research #writing

NLProc Mastodon verse: to all CL/NLP people out there, out of curiosity, ---given you {are working
|do research|are educated} in Computational Linguists or Natural Language Processing: do you have a preference?

New preprint:
Explainable prediction of catalysing enzymes from reactions using multilayer perceptrons

- Explain reaction classification using DRFP, DeepSHAP
- Viz with SmilesDrawer
- Predict enzyme catalysts for any reaction

biorxiv.org/content/10.1101/20

#Bioinformatics
#Chemistry
#MachineLearning
#Science

Dank aan @maxkemman voor de efficiënte samenwerking! Ik kijk uit naar de publicatie van onze paper.

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