Is this "deep research" tool exploiting open knowledge creators, using their work without compensation?

How is using public information "exploitation"? A human researcher with Google would do the same.

So its fine for OpenAI to effectively sell your CC BY-NC content to others?

Are you exploiting open knowledge creators, using their work without compensation?

The creators are aware that a human is using this, can we say the same for AI, does it have their consent?

Then consent is granted by transitive property because these AI are yielded by humans.

Yea but guy paying closedai to get "insights" that basically copy-pasted content from my blog is definitely violating my blogs copyright, and in the end no coin comes to me either. What about that?

Could you provide an example where OpenAI outputting verbatim quotes actually constitutes the copyright violation? Because mechanically retrieving relevant quotes seems analogous to grep/search - the copyright status would depend on how downstream users transform and use that content. Like how quoting your blog in a technical analysis or critique is fair use, but wholesale republishing isn't. This suggests the violation occurs at usage time, not retrieval time.

You exploited my eyes by making me read this comment. Wheres my compensation.

I see many are offended, but I am genuinely asking a question.

I want to understand does this mean it's ethical for anyone to create a research AI tool that will go through arXiv and related GitHub repo and use it to solve problems, implement ideas like cursor.

It is also an agent, so it is using you without compensation for your work.

Of course. It's a child's play for SamA et al.

would it be open knowledge if it required payment to access ?

The bill only restricts AI technology transfers to China, not the publication of public AI research.

And transfers from China as well. The relevant section:

PROHIBITION ON IMPORTATION.—On and after the date that is 180 days after the date of the enactment of this Act, the importation into the United States of artificial intelligence or generative artificial intelligence technology or intellectual property developed or produced in the People’s Republic of China is prohibited

And the Trump administration is canny, they know Chinese LLM researchers have no way to read documents published in English. /s

Here's a google collab notebook built from this. It takes ~2 hours on A100 GPU if you have collab pro. Might work on free account as well.

https://colab.research.google.com/drive/1dklqzK8TDPfbPbyHrk3...

Research Paper https://arxiv.org/pdf/2405.19040

...and if you're in the vanishingly small overlap of folks reading this comment and people interesting in attending an academic talk in Denver next Wednesday, the official conference page for the paper is https://popl25.sigplan.org/details/POPL-2025-popl-research-p...

(The ArXiV preprint has the exact same content)

Oh, I'll be on the live streams!

https://popl25.sigplan.org/attending/live-streams

I want to say that the cultural changes inside of the ACM to make historical research open access and to have excellent live streams of the conferences is just so damn wholesome and wonderful. Thank you ACM and the people inside the ACM that made this happen.

And in case someone from the ACM is reading this, the live streams are very useful for physical attendees. I was attending Splash! and there were a ton of talks where I would have needed to change rooms, wanted lots of desk space for notes and research. It was somewhat ironic attending half a day from a vacation rental. :)

The presentation (a PDF with the slides and the talk transcript) are now linked from https://typesafety.net/rob/blog/fclp-at-popl

Enjoy

let button = document.querySelector('.main-btn'); document.querySelector('.main-btn'); if (button) { let clickCount = 0; const interval = setInterval(() => { button.click(); clickCount++; if (clickCount >= 10000000) { clearInterval(interval); console.log('Clicked 1000 times!'); } }, 10); // Adjust the interval (10ms) if necessary } else { console.log('Button not found!'); }

MCP is a protocol for tool usage, where as KAG is for knowledge representation and information retrieval.

Build a tool on top of the LLM layer for a specific use case. That'll get you up to speed. You haven't missed much.

Exactly. Avoid intentionally throw-away effort and instead attempt to build something specific and practical. Learn by doing.

Assume you are the author, I found your website is such a treasure. I couldn't believe your website wasn't listed on HN before. Next time please post on HN when you write.

I am not, just a huge fan of prolog and works of passion like this.

+1, this entire website is a fascinating find. Interestingly, in terms of formatting, all the long-form texts on the site are centered (as opposed to left align). I wonder what's the logic behind this decision (surprisingly, it is not at all annoying to read, though).

https://meetfebin.com/apps/filmflow Uses GPT for visualizing and analyzing the emotional pulse of films.

Loved your previous book, will the new book "Practical Math for Programmers" will be released this year?

Sorry, but no. I've got too much going on. But I am at ~200 pages of a draft