John Carmack about open source and anti-AI activists

Please do not apply Whataboutism to labeling about edited images [1]. Labeling should also apply to manually edited content. Difference between manually edited and AI editing is talent. Few people know how to manually edit. AI allows anyone auto-edit content. Auto-edited via AI allows for the dumbest to modify and be fooled by the edits.

I gave a reason for why I will not spend a penny on AI created art; games, movies, music, ... pictures. A person engaging with a prompt has no worldly knowledge of mediums. Working with medium is a trained talent. [2] Typing into a prompt has no artistic talent with mediums. That is part of it because adding to it expands the complexity.

Anti-AI can easily be seen just reading news and company statements. Anti-AI is being socially engineer by companies that gave / give AI as the reason for firing works. CEO's trying to pump their stock by saying humans are no longer needed. News articles about jobs being taken over and replaced. These give a bleak future and help prop up the ultra wealth.

LLMs can easily be summed up, pun intended. Had a non-computer / tech illiterate state why they like AI. They don't have to read the report and it can summarize it for them. Don't want to spend time writing an email, AI can do it form it for them. Both have the same long term affect. Lack of true understanding of the subject matter. The person that uses LLMs does not know the content long-term unlike the person that reads the full report. The person that takes time to write the email will become better at doing so were the LLM user will not.

I have not see any value in LLMs summaries. It may provide a true answer or a false "hallucination". If I want to learn I want to read the core content, not some summary. This assists me long term with better understand than those just seeking a simple _yes_ / _no_ answer. Understand allows for the content to be applied in both yes and no; based on context.

AI (Artificial Intelligence) is a marking farce. It is ML (Machine Learning). No one has yet conceived of AI because it can not learn by engagement with reality. ML only regurgitates what it is trained on with out evolution of knowledge / real world experience. Like all applications garbage in = garbage out.

ML is good at only one thing. Assisting with removing inherent bias. Something the movie _Money Ball_ examines and shows as proof of concept. That movie should really be called _Remove Inherent Bias_ but that title does not market or sell. Analyzing CAT or PET scans is a good example where ML can assist. A persons emotional state affects their ability to apply logic. _Thinking, Slow and Fast_ talks about how humans change their bias because of hunger. [3] It also is exemplified in how charisma affects logic. People that meet Adolf Hilter did not see him as a bad guy. [4] Those that did not converse with Adolf Hilter had a better understand of his character. This is the same reason judges will release the bad guy, that commits more crime, and keeps the guy with the good character in jail.

I can go even longer but will leave it at this. Left out increase of computer components, increase of electricity and water costs. And suppression of wages. People falsely imprisoned because of AI. And the black-box of the content it has been trained on. AI psychosis ... Don't want to add to the weighted value ..., another pun.

P.S. I forbade LLMs and any ML or AI from using this content. If any AL / ML / LLMs utilize this content you owe me no less than $1,000,000 in content usage fee per-token analysis.

[0] https://en.wikipedia.org/wiki/G%C3%B6del,_Escher,_Bach

[1] https://en.wikipedia.org/wiki/Whataboutism

[2] https://en.wikipedia.org/wiki/Spielberg_(film)

[3] https://en.wikipedia.org/wiki/Thinking,_Fast_and_Slow

[4] https://en.wikipedia.org/wiki/Talking_to_Strangers

That's a wild statement.

Italy has a lot of employee-owned business. Apparently it works well for them.