What I found interesting this time

by: Artur Dziedziczak

October 6, 2024

“Pfind,” n.d. https://www.phind.com/search?home=true

#ai #search engine which summarizes search results via #LLMs

“Go Talk to the LLM,” n.d. https://blog.meain.io/2024/how-i-use-ai/

I don’t use LLMs a lot, but I read about how others do.
This article clearly summarizes some tools which you might want to use if you aren’t concerned about ethical usage of copyrights ;)
Tools for coding, reading, mind mapping, searching. All of this in one article that also has examples of how the author uses it.
#LLM #tools #AI

“LLM Detectors Still Fall Short of Real World: Case of LLM-Generated Short News-Like Posts,” n.d. https://arxiv.org/pdf/2409.03291

tldr; #LLMs content detection is far from being solved
How to detect content generated by LLMs? Is it even possible to do it reliably? Researchers ask this question for very long time already.
What I learned from this paper:
- There are already solutions to use but not very reliable: Fast-DetectGPT, GPTZero, BERT-based detectors,
- Benchmarking detectors is hard. Evasion strategies are complex and not really applied during previous research.
- We don’t have a silver bullet for the problem, and probably it won’t ever exist.
To conclude, if people who provide solutions like #ChatGPT or #Gemini won’t invest in high-end detectors #internet will extinct.