| π | Ankara, Turkey |
| πΈοΈ | https://www.hacihabiboglu.org |
| π§π»βπ» | https://github.com/metu-sparg |
My article describing sphstat, a Python package for statistical inference on unit vectors on the sphere has just been published. Hope you find the paper and the software useful.
sphstat: A Python package for inferential statistics on vectorial data... https://www.sciencedirect.com/science/article/pii/S2352711023002108
Metaphors in science - know any?
Iβm fascinated by the role that metaphors play in scientific discovery. Like Darwinβs βtreeβ of life. When we shift how we think about what weβre working on, sometimes it inspires us to see it in a whole new way that clicks.
Know any good accounts of metaphors in science - others or your own?
New to the #Fediverse? Here are some things that work(ed) for me:
- Coming from Twitter? Find your tweeps: https://fedifinder.glitch.me [defunct βΉοΈ]
- Follow bots like @icymi_law (for law content) & @colarusso_algo (for general geekery). They can help you discover good follows & either flesh out a sparse timeline or find the signal in the noise.
- Find new friends (based on who your follows follow): https://followgraph.vercel.app
- Use lists! Mine include: folks I know IRL, bots (see above), etc.
My greatest advice to those concerned: Start archiving. If you come across something you believe is valuable: make a copy.
If you follow a guide on how to install and configure software and you found it helpful: make a copy.
If you come across a video you really enjoy and find yourself coming back to again and again: make a copy.
If it means anything to you: make a copy, or you'll wish you did.
A friend of mine recently burned out on maintaining open-source software and communities, and had been half-joking for a while that they wanted a sassy license to the effect of "I release this code for free, take it or leave it, or go do it yourself".
Tonight I wrote that license for and with him. Please enjoy the "Fork Off" Public License, v0.9: https://github.com/klardotsh/fork-off-public-license
(I'll tag a v1.0 after any feedback y'all might have to clarify things or make it funnier. Forking it is also of course ok.)
New post for #SentientSyllabus, first impressions of #GPT4 via the #ChatGPT interface. Focus on consequences for #academia.
https://sentientsyllabus.substack.com/p/becoming-fibrous-gpt-4
Includes a summary of #OpenAI's live stream, first experiments with improved introspection, and a well-done text problem, and perspectives on the new features.
What's important for #HigherED?
(1) GPT-4 is good. Really. We still need to pursue a "An AI cannot pass the course" policy β but this has now become quite a bit harder. I am _not_ talking about making lectures AI-proof, I am talking about how we can teach students to surpass that level. This is a challenge.
(2) GPT-4 is good. That means it's also more fun to work with. Collaborative problem solving and tutoring are going to make for some very effective learning.
(3) GPT-4 is good. The (coming) ability to include persistent prompts ("system messages") is a game changer. This is not widely recognized, but it is a step to solve the #alignment problem, replacing authority with individual control.
There. I've said it three times... Have a look at the article, share and boost if original content about AI and academia is useful to you.
π
Nicole Rust
David Colarusso
n4
tired blip
Chris Hallbeck
Boris Steipe