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Me: OK, does anyone have any questions?

Students:

Me: Seriously, is any of this at all confusing or unclear?

Students:

Me: So everyone is confident they understand what we just covered?

Students:

Me: OK, well, if you realize you don't think you get it later, email me or or talk to me before or after class and we'll chat.

End of semester student evaluations: "I didn't understand anything." "I was confused the whole time." "He was super confusing!"

#Academia #ProfessorLife

RT @judithbellaiche
Finger weg von Forschungsgeldern!
Der Ausschluss der Schweiz aus dem Horizon Programm ist per se schon ein Desaster. Nun will der Bundesrat auch das für Horizon reservierte Geld für Sparmassnahmen opfern!?
judithbellaiche.ch/index.php/2

Nouvelle leçon en français!

"La reconnaissance automatique d'écriture à l'épreuve des langues peu dotées", un tutoriel de Chahan Vidal-Gorène sur Calfa.

Merci Ariane Pinche et Julien Philip pour l'évaluation, et Matthias Gille Levenson pour le suivi éditorial.

doi.org/10.46430/phfr0023

Our team @threemaapp is looking for a senior iOS dev. Speaking German is a must, and we are not fully remote, so you must come to our offices which are located near Zurich.
If you have any questions, feel free to reach out!

Full job description can be found here: threema.ch/de/job/ios_engineer

#ios #swift #swiftui #dev

So SWITCHdrive is now half functional again, and now c4science.ch is out of order :-(

💥 Heute ist der @riffreporter Artikel erschienen! Wer mehr zu unserer #Ausforschung von #Universitäten erfahren möchte, sollte diesen Artikel auf jeden Fall lesen. Inhaltliche Tiefe, background storys, alles dabei:

➡️ riffreporter.de/de/technik/hac

@evawolfangel hat sehr viel Zeit in diesen Artikel investiert. Schaut doch Mal auf ihrem Profil vorbei und folgt ihr für weitere interessante Themen.

Pandoc version 3 and later support the creation of websites with navigation links: The hunked HTML format ("chunkedhtml") was introduced in pandoc 3.0. With it, pandoc splits the document into "chunks" at the section level, and writes the result to a directory or a zip file, adding links like "next", "previous", etc to simplify navigation.
Demo:
pandoc.org/chunkedhtml-demo/

The biggest question for me about large language model interfaces - ChatGPT, the new Bing, Google's Bard - is this:

How long does it take for regular users (as opposed to experts, or people who just try them once or twice) to convince themselves that these tools frequently makes things up that aren't accurate?

And assuming they figure this out, how does knowing it affect the way they use these tools?

If anyone was in any doubt about how the chatGPT/Bard hype was going to go in education, the venture capital company Andreessen Horowitz just dropped its "Five Predictions for the Future of Learning in the Age of AI" and signed off with "We are excited about all the ways AI will change learning, knowledge, education, personal development, and self improvement. If you are building in these categories, reach out" a16z.com/2023/02/08/the-future

@simon
I swear this is one of the reasons why these models will make much more damage even than they appear to in the short term - using the bot to understand the bot feels satisfying and slakes curiosity while literally biting into its premise uncritically.

This is a big challenge with prompt leak attacks generally: the model just guesses what word should come next, so once it starts spitting out pieces of its own prompt it's perfectly capable of inventing new prompt segments out of thin air

And anything it invents will look convincing, because the whole point of large language models is to generate stuff that looks convincing!

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