The speaker introduces the “Brain Mark” – a logo they created to label works that are primarily made by humans (themselves or friends) rather than generated by AI tools. Hosted at brain.org, the mark is offered for anyone to download and attach to their own projects. While they appreciate AI’s utility (e.g., as a rhyming dictionary, brainstorming aid, or autocomplete), they feel that labeling something as “human‑made” conveys a special, transcendent value that AI‑generated content lacks. They reject the notion that AI is inherently evil, instead advocating a positive framing: “human = good.” The Brain Mark is meant to highlight the personal effort, learning, and inspiration that come from creating something oneself, and they plan to retire it only when true artificial intelligence emerges (estimated in ~50 years). The video also promotes their other content, Patreon/Kofi support, and provides links to source code and transcripts.
1. I introduced a small project I recently published.
2. Brain Mark is a label I will attach to works mostly made by me or my friends, not by generative AI tools like GPT.
3. I built a website at brain.org offering high‑resolution black or white versions of the logo for download.
4. My video scripts are dedicated to the public domain.
5. The script links and images are part of a markdown document freely available on GitHub at the provided address.
6. I have been thinking about this topic since my GPT and AI video in 2023.
7. I am a video and audio producer at heart and still a software developer.
8. I reuse 100 libraries to avoid writing 10 lines of code.
9. I looked for a way to mark my videos and stories as human‑made and could not find one that worked exactly as I wanted.
10. I have many issues with the marking options I have seen so far.
11. I write about real and fictional AIS/AGIs every day for my speculative sci‑fi show *Lost Terminal*.
12. When real artificial intelligence is created I will retire this Brain Mark in the timeline of my story, which is set about 50 years in the future.
13. Text‑based large language models are autocorrect systems trained on the entire internet with enough complexity to pass the Turing test.
14. I did not used to like how my voice sounds on recordings, but with practice and copying others I now do.
15. Supporters can get early access, tracking‑free videos, name credit, or one‑to‑one mentoring via my Patreon or Kofi.
16. I have released a new fiction podcast called *The Phosphine Catalog*.
17. I host a weekly sci‑fi audio fiction podcast titled *Lost Terminal*.
18. I produce a podcast every full moon called *Modem Prometheus*.
19. Transcripts and compiled markdown source code are available on GitHub, with links in the description.
20. Corrections are posted in the pinned irata comment.