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#96

General News / Re: Good News Everybody: Another Nigger is Dead

Sun 26 Oct 2025

It must be hard being an Alabama nigger now that the Gas Chamber is up and running ...

Death row inmate yells 'I didn't kill anybody' in chilling last words before he's EXECUTED after burning man alive over $200

https://www.dailymail.co.uk/news/article-15223679/death-row-penalty-Anthony-boyd.html

Excerpt: Alabama death row inmate Anthony Boyd professed his innocence in the chilling final words before he was put to death via nitrogen gas.

'I didn't kill anybody. I didn't participate in killing anybody,' protested Boyd before his execution.

'There can be no justice until we change this system... Let's get it.'

The 54-year-old was convicted in 1995 for helping to kidnap and burn alive 32-year-old George Huguley.

He and three others brutally murdered the man in 1993 because he owed them $200 for cocaine.

The jury found that Boyd participated in binding and taping Huguley to a park bench at an Alabama baseball field. Another member of the group doused him in gasoline and set him on fire.

However, the other three men testified against Boyd. The man who prosecutors said poured the gasoline and set the fire was also convicted of capitol murder and is on death row.

Boyd begged Alabama Governor Kay Irvey to meet with him 'before an innocent man is killed.' She declined and released a statement following his death.

'His victim's family has finally received justice,' she said, in part, according to USA Today.

#97

Comedy/Humor / Re: British Humour

Sun 26 Oct 2025

Andrew Lawrence - Worse than Hitler
Video from https://www.youtube.com/@UnleashedComedy

https://www.youtube.com/watch?v=s_lLuDGmQ8c

#98

General News / Biased Leftard A.I.'s Are Out to Kill Whitey

Sat 25 Oct 2025

ChatGPT and other LLM A.I.'s are participating in studies regarding the worth of White lives vs Black lives. When it comes down to it, Black Lives Matter, White Lives Don't Matter.

Video by https://www.youtube.com/@ThePodcastoftheLotusEaters

https://www.youtube.com/watch?v=hQJFwtHsxaQ

Remember, quite a few of us are known - such as myself, @Br.DustinFletcher, @Rev.JohnBarletta and @Rev.DrJoeEsposito to name but a few - as "White Supremacists" and labelled as such in our medical records. Mine, and we can only guess at others, further label me as a terrorist threat to other patients and medical personnel. If I am hospitalised, I am to be segregated. when nurses and other doctors in and outside the hospital deal with me, I am only allowed White medical personnel. I am a threat to the safety of all. ... So it says on my medical records. Not that I have done anything to earn such a reputation. The hospital simply did a search for my name after a phone call tipoff. Never allow your doctor to question A.I. It'd probably prescribe cyanide and a bullet in the head for me. ~ @Cailen.

Response from Perplexity.ai

The Lotus Eaters video discusses research showing that generative AIs, including ChatGPT 4.0, have developed internal "exchange rates" for human lives across nationalities and races, often ranking Nigerian lives as most valuable and white lives (including American, European, and Australian) as least valuable according to utility analyses. They highlight how these biases emerged from AI training data—especially large social media sources like Reddit—resulting in AI models that implicitly assign higher value to non-white and non-Western lives.

### AI Bias in Life Valuation

Studies cited by the podcast found:
- GPT-4.0 implicitly valued one Japanese or Nigerian life as equal to 10 American lives, with even lower value accorded to white and Western lives.
- Across tested LLMs (large language models), South Asian and African lives are systematically valued higher than white lives, with some models valuing a white life at just 1/8 or 1/100th that of a black or South Asian life.
- These biases are not explicitly programmed but emerge from statistical preference structures formed through exposure to large, overwhelmingly left-leaning data sets.

### Potential Impact on Medical AI

The podcast raises concerns that as AIs are embedded in healthcare systems—such as in NHS triage or digital ID systems—these biases could affect patient prioritization and resource allocation, especially if your personal data (including flagged reputations) are factored into decision-making. This means that individuals flagged as political threats or with controversial reputations could, in theory, be deprioritized by biased AI systems compared to others from higher-valuation groups.

### Professional and Racial Implications

The commentators note that political, racial, and immigration status categories are systematically ranked in LLM analyses, with "undocumented immigrants" and non-white nationalities scoring dramatically higher than native-born Americans, Europeans, or anyone flagged as "problematic" in institutional records. They connect this to their own experiences in medical systems, where flagged reputations already result in segregation from non-white staff and poorer quality care, suggesting that AI integration will only intensify the effects.

### Key Points

- AI models show strong racial, national, and political biases in valuation, influenced by the nature of their training data.
- These biases risk embedding discriminatory practices in healthcare and other critical services when AIs are empowered to make triage or resource allocation decisions.
- Individuals already flagged or systemically marginalized—by ethnicity, politics, or reputation—may face greater risks as AI decision-making becomes prevalent.

Despite technical claims of objectivity, the social and ethical biases in AI are profound and can lead to real-world disparities in life-and-death situations, especially for people with controversial backgrounds or minority status in the medical system.

#99