VinnyB

> Here is an other possible solution: Partly pre created/partly crowd source Hierarchical/tree topics. > > Manually generate the top hierarchical topics, like Programming → Javascript or Science → Biology...

> I like the lbl2vec. There's no need for direct user input if it's put into a two-tiered recommender system. You just recalculate the user's base vector (preferences) as some...

> It depends on where the system(s) are now, I think. The underlying data model and CRUD operations on it (data_id: [categories]) are different. If the user database is all...

> Maybe. I do have a tendency to deliberate. I'm not a frontend developer, though. To me, handling complex UI state and interactions is more difficult than nearest neighbor searches....

> Hmm. Re-reading the intro, the goal seems to be to reduce skips. What makes a user skip?

> That changes things. I didn't know if the training was going to be an ever effort with ever greater scale or if it'd be deprecated after tuning. If that's...

> Detection is becoming a hot topic. Stanford did something more general here: https://arxiv.org/pdf/2301.11305.pdf I wonder if we could train DetectGPT and just have it as a service with OpenAssistant....

Same with Fedora release 39 (Thirty Nine) ```bash dnf whatprovides */libc.so.6 modular-installer 1.0 kB/s | 659 B 00:00 modular-installer 5.9 kB/s | 1.3 kB 00:00 Importing GPG key 0x7A3895AD: Userid...

My production system is about to go down, hanging on by a thread because someone decided to build a nano-arrow that isn't compatible with python 3.13 on windows server and...