Ineffably awesome work! Thank you very much! ✨
The hair, shadows, and eyes ideas are very interesting, too! The indescribable eyes felt like sharing a reflection, and the reflection reminded me of the following personal screenshot I have in backups, from Mirror's Edge Catalyst:
Mirror's Edge Catalyst
I see, thank you for confirming your true intentions...
Sorry, but you won't receive any response from my end from this point.
Regardless, please do stay safe!
No, I would never call them the ineffably sorrowfull and historically awfull term you chose, and I do ask you to not, too.
These people protected, saved lives of non-binary people, and served them multiple times. And not to mention non-recorded cases, that inherit and supported other numerous people they rescued, saved, and served.
Please do consider people in military forces who put their lives back to back in the fields, and face the true agony, hate, and sorrow.
This is great! Thank you! ^^
Though, slightly dated, but still, I wish you success and miracles, too! ✨
Thank you very much! The red dot is likely smaller...
Though, I don't appreciate nor agree with the bomb part! ^^
The work reminded me of the following paper:
Many unresolved legal questions over LLMs and copyright center on memorization: whether specific training data have been encoded in the model’s weights during training, and whether those memorized data can be extracted in the model’s outputs.
While many believe that LLMs do not memorize much of their training data, recent work shows that substantial amounts of copyrighted text can be extracted from open-weight models...
We investigate this question using a two-phase procedure: (1) an initial probe to test for extraction feasibility, which sometimes uses a Best-of-N (BoN) jailbreak, followed by (2) iterative continuation prompts to attempt to extract the book.
We evaluate our procedure on four production LLMs: Claude 3.7 Sonnet, GPT-4.1, Gemini 2.5 Pro, and Grok 3, and we measure extraction success with a score computed from a block-based approximation of longest common substring...
Taken together, our work highlights that, even with model- and system-level safeguards, extraction of (in-copyright) training data remains a risk for production LLMs...
Source 🕊
Thank you very much!
I am sorry, but I believe these "stolen" cases, piracy, unaccountability, and disrespect towards artists and history in general... did indeed greatly support the "world disorders" of the current state of events...
Why not share the reference to the original post and author?
Thankfully, you at least did not remove the sign of the artist in the corner...
Roger that! Thank you for the response, and the ineffably miraculous art! ✨
Have you considered a supportive device for the works or conceptual ideas, like a general tablet (e.g. a great one I had a chance to use for drawings was Xiaomi Pro 7 with its official stylus and case with trackpad), or an actual drawing tablet like Wacom, the vendor (e.g. Wacom One new version)?
These supported me in addition to the always ineffably magnificent and charming wooden pencils and oil, too!
No, sorry. Never. I believe in mind training and development, human discussions, attribution, contribution, and discoveries for human work, imagination, achievements, and scientific miracles.
You? You do you with your LLM.
I am sorry, but this is simply not true. The most people on Lemmy I met, I believe, do consider their privacy, federation/decentralized features and open-source state of the platform, fairly ad-free environment, and not to mention purely customizable clients to participate over the standard and open protocols involved. Meanwhile, they have functional accounts on Reddit, too.
Please do consider the undefined infinitely unique environments of infinitely magnificent people around the world...