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I just went back to teaching! I’m hopeful that AI makes the classroom experience better for both students and instructors.

It's upheaval, but it's good overall, I think. I'm enjoying figuring out where students should and shouldn't use AI, and also--holy crap--ChatGPT can write quiz questions like nobody's business. :)

I also use it for coming up with ideas for class, and asking it to challenge my knowledge on a topic. (Just be sure to verify all its claims!)

Still trying to figure out how to convince students that the act of writing is so valuable to them that they really should do it. Something that kinda works on college students is the idea that anything easily done with AI will pay no money. So they'd better get their asses in gear and do the hard work if they want to pay off that enormous loan.

This quarter I'm having them do some low-risk (i.e. hard to be wrong, not graded on style) short writing assignments. I'm hoping that it's easier for them to write the low-risk thing than is it to try to come up with a good prompt. Also I've asked them for their personal opinion of the topics explicitly which might make them a little less comfortable to ask an AI to speak on their behalf.

With AI, though, I think we're going to have to start small and really work people back up to writing bigger essays. If you just jump in, they'll just punt to AI. And nothing takes the wind out of my sails faster than someone telling me I have to grade a bunch of shit written by ChatGPT.


Beware, canvas-based code editors (like Code Bubbles) have problems. A 1d carousel/ribbon performed better in some initial user studies:

https://austinhenley.com/pubs/Henley2014CHI_Patchworks.pdf


Thank you for the flag! Our intention is to try to "tile" the viewport so that it resembles this grid format (i.e. the carousel/ribbon), but we've found the canvas is still useful folks who want to go that extra mile to organize their editors.


I was always surprised that Code Bubbles got so little airtime...


Another good resource is Making a RISC-V OS using Rust

https://osblog.stephenmarz.com/


I’ve owned a Tesla since 2018 and never paid a subscription nor needed one.


"you can use Fennel right here without installing anything"

It sits at 99% forever.


With "[sprintf] unexpected placeholder".

This is presumably https://github.com/fengari-lua/fengari/issues/147. You can workaround it by substituting "%.f" for "%.0f" in https://fennel-lang.org/fennel/fennel.lua.

However Chrome won't let me override the contents of this URL for some reason. And the first Firefox response override extension I tried ended up confusing the page. So you can alternatively override the contents https://fennel-lang.org/fengari-web.js as follows:

`"string" == typeof o.response ? a.f = yt(o.response.replace("%.f","%.0f")) : a.f = new Uint8Array(o.response.replace("%.f","%.0f"));`

(Just before `var l = Ee(a);`)

Opened a bug for it: https://github.com/bakpakin/Fennel/issues/485


And it looks like its already fixed.


It has not been fixed yet.

> I've turned the web repl back to 1.5.0 for now while we investigate the issue.[1]

[1] https://github.com/bakpakin/Fennel/issues/485#issuecomment-2...


There's also a console message for an unhandled promise rejection with an error message about an unexpected sprintf placeholder.


I’ve never understood why we need emails in papers.

Who sends emails to paper authors? How often do they respond? How fast do the email addresses go out of date? I lost access to my email address included in most my papers within 2 years of publication.

I see little to no value to have it included in the paper.


I do email paper authors and I do respond to requests and inquiries about my own papers. Even if you don't work at the same institution any longer, most universities let you redirect your email for many years after you left.

Also, I don't think we are yet at the point when human2human communication is not possible.


You don’t need emails in archival PDFs for human-to-human communication.


Who sends emails to paper authors?

I do, when I'd like to read a paper that's locked behind a paywall and not available on sci-hub. Authors of scientific papers are much like any other authors... they want to be read. The more enlightened among them understand that obscurity is a problem rather than a perk. They also tend to appreciate engagement in the form of follow-up questions (at least from people who actually read the paper.)

Obviously it's not a major concern on arxiv, but in a larger historical sense, this type of communication was a key original application of email.


If an author wants to be read then they will keep the preprint PDFs on their website (along with their current email address). An added benefit is that Google Scholar indexes and links directly to the PDFs instead of the publisher website.


> Who sends emails to paper authors?

I do when the paper is not easily available or the publisher charges some outrageous fee (have seen $50 for a paper in the past).

Authors typically despise the publishers and are happy to share their work to anybody interested.


For sure. That is why I keep the preprint PDFs on my website (along with my current email address).


LLMs.txt should let me specify the $$$ price that companies must send me to train models on my content.


No, see you're supposed to create and upload this specially formatted file on all your webservers for free, just to make it a little easier for them to take all your content for free, so that they can then use your content in their products for free, so they can charge other humans money to get your content from their product without any humans ever having to visit your actual website again. What's not to like?

If they had to pay for all the content they take/use/redistribute they wouldn't be able to make enough money off of your work for it to be worthwhile.


But there is actually a reason to use this standard. See, if your goal is to alter the perception of AI models, like convincing them certain genocides did not exist or that certain people are(n't) criminals, you want AI to index your website as efficiently as possible.

Together with websites that make money off trying to report the truth shielding their content from plagiarism scrapers, this means that setting up a wide range of (AI generated) websites all configured to be ingested easily will allow you to alter public perception much easier.

This spec is very useful in a fairy tale world where everyone wants to help tech giants build better AI models, but also when the goal is to twist the truth rather than improve reliability.

Oh, and I guess projects like Wikipedia are interested in easy information distribution like this. But you can just download a copy of the entire database instead.


And a bank account number to send it to!


Fun! Upgrades and persistence would keep me replaying.


Manning allows asciidoc.


I did not know this. Very nice


That’s cool to hear.


As the company or as a mentor? How big is the company? How many interns are you expecting? Are you asking about the recruiting funnel or just the day to day?

There are a lot of resources from companies about the internship project, less so on everything else.

You might want to look into hiring someone who has organized these programs before.


To answer your questions:

- As a mentor

- 20-30 people

- 1-5 interns

- day to day

I'm interested in building a program myself.


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