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I leaned into the narrative style for this post. The content comes from my concrete talks and work but I don't mention any specifics. Not sure if I like the result but it was still interesting. The topic was light and easy enough I don't feel it suffered for it.


I'll bite. I have always been told copyright is inherit. Does it cost money to file a copyright? Do I need to do it for each blog post? For each gist? I'll totally setup some scripts to make it happen if it what actually needs doing to have the copyright I expected.

Edit: remember not to down vote ideas you disagree with. I think it was only down vote things that lower the discourse


I think it depends on the country. In Germany, everything you write is automatically copyrighted, unless you explicitly waive it. In the US, it's the other way around, you have to explicitly state that you want copyright (can somebody confirm this?).

I'm not a lawyer, but I guess a German posting on Hacker News effectively waives their copyright by sending their comment to the US, where an US company then publishes the comment on a US server.


You do have inherent copyright whenever you post, but it puts the burden on you to prove damages (or how much financial harm you suffered from one LLMs piracy alone). Filing fees are $65 for online registration and they allow you to claim atty fees and statutory damages. Statutory damages can range between $700-$150k USD per LLM because you registered it.

So yes, set up some scripts, you can go back 90 days from when you file (you get a grace period). Also if you're publishing frequently to a blog, repo, or newsletter, you can save cost by filing each article under a group registration. Ping me if you need help.


It's a competitive world out there isn't it? Thank you


Unrelated to the app but I dig your website design.


Thanks!


This was a thing in the beginning of 2025. Not sure how they do now but I did the interview just to see the AI bot in action. It wasn't great but it was amazing at the same time. It might have been around sooner but I remember doing one AI interview that had a video lip synced avatar asking questions like we were on video chat.


Doing something novel is incredibly difficult through LLM work alone. Dreaming, hallucinating, might eventually make novel possible but it has to be backed up be rock solid base work. We aren't there yet.

The working memory it holds is still extremely small compared to what we would need for regular open ended tasks.

Yes there are outliers and I'm not being specific enough but I can't type that much right now.


Feature request: Combine book series into a single entity. Bummer getting recommendations for another book in the same series as one I already liked and read.

Feature request: Exclude books already in shelf. This is harder I'm sure. I've got 1146 books in my Read shelf.


I know a couple folks that do a ton of phone only reading now. I haven't read for pleasure in over a decade but I've listened to ~1300 different audiobooks. Seems like this isn't well thought out.


Listening to audiobooks is included in the survey (but they also mention that most people who listen to audiobooks also read print books; you are likely an outlier in that regard).


I don't know what I'm talking about but when I first asked your question this https://gist.github.com/Artefact2/b5f810600771265fc1e3944228... helped start me on a path to understanding. I think.

But if you don't already know the question your asking is not at all something I could distill down into a sentence or to that would make sense to a lay-person. Even then I know I couldn't distill it at all sorry.

Edit: I found this link I referenced above on quantized models by bartowski on huggingface https://huggingface.co/bartowski/Qwen2.5-Coder-14B-GGUF#whic...


No huggingface models or did I just miss them? Edit: they mention doing open models at some point at the bottom of the page


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