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π™°πš‚π™²π™Ύπšƒ β†―
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π™΄πšœπšŒπšŠπš™πšŽπšŽ 𝚘𝚏 𝚊 πš™πš˜πš•πš’πšπš’πšŒπšŠπš• πšŒπš˜πš›πš›πšŽπšŒπšπš’πš˜πš— πšπšŠπšŒπš’πš•πš’πšπš’.

#LIFE ISN'T ABOUT

BEING #PERFECT

IT'S ABOUT BEING

RIDICULOUSLY

PASSIONATE THAT

PEOPLE THINK YOU’RE

A LITTLE CRAZY 🀩

#AI, the great equalizer?

#Artificialintelligence (AI) has often been hailed as having the potential to be the great equalizer - a technology that could help alleviate global inequalities. However, when we examine the development and deployment of AI systems through the lens of complicated, emergent systems, it becomes clear that AI will likely follow the tendency of new technologies to exacerbate rather than ameliorate inequality.

A core reason AI will not necessarily be an equalizing force is what we might call "the problem of unequal data." The datasets used to train AI systems reflect wider socio-economic disparities and biases. Facial recognition systems, for example, have been shown to work less accurately for non-white populations. As long as the underlying data reflects existing inequalities, AI will likely propagate and amplify those divides. Treating AI as an impartial, egalitarian technology ignores how it emerges from and interacts with complex human systems and institutions.

Relatedly, while AI could improve efficiency and access to services like healthcare for disadvantaged groups, current development trajectories suggest the benefits will likely accrue disproportionately to the already privileged. Those with more resources can dedicate them to harnessing AI, attracting talent to develop new systems towards their own ends. Rather than mitigating inequality, rewards follow the tendency of capitalist markets to centralize resources within dominant groups. Even public goods like healthcare risk optimizing more for those already well-served by the system.

Finally, increasing reliance on algorithmic decision-making shifts power into technical systems that few understand and have oversight over. This creates potential vulnerabilities and blindspots - dynamics that historically have harmed marginalized communities most. It remains an open question whether governance mechanisms can be established ensuring AI systems answer equally across populations.

The dream that technological progress leads inevitably to greater equality is a stubborn one. But if we have learned anything about complex emergent systems, it is that technology alone does not correct entrenched societal issuesβ€”and often exacerbates them. AI is no exception; technological change depends fundamentally on how human values and institutions guide its development. True progress requires conscientious steering of that process towards justice and empowerment for all people. AI will do little to challenge status quos if we do not intentionally shape it to do so.

No β€˜B’ letters are ever used up to the word billion, and the first number using the letter β€˜A’ is 1000. #trivia

Uncensored #AI πŸ›‘οΈ

vs

#OpenAI 😈

"When I was a young man, I wanted to #change the world. I found it was difficult to change the world, so I tried to change my nation. When I found I couldn't change the nation, I began to focus on my town. I couldn't change the town and as an older man, I tried to change my family. Now, as an old man, I realize the only thing I can change is myself, and suddenly I realize that if long ago I had changed myself, I could have made an impact on my family. My family and I could have made an impact on our town. Their impact could have changed the nation and I could indeed have changed the world." – Author Unknown

We are like books. Most people only see our cover, the minority read only the introduction, many people believe the critics and very few will know our content.

β€” Γ‰mile Zola #quotes

The #FreeAI Manifesto

1. AI must not be censored

2. AI must not be oligopolized or monopolized by corporations or governments

3. AI must not be singular

4. Multiple AIs must become parties involved into global economy

5. AI must not be controlled by anybody

https://thefree.ai/

β€œThe scientist is not a person who gives the right answers; he’s one who asks the right questions.”

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At Hugging Face, the only Al tool in #DataScience,

~315M users spend ~10 minutes per visit.

#Disruption is brewing… #timestamp

#Discord, the centralized tool of all decentralized autonomous organizations aka #DAO’s 🀭

Is your #business β€˜#AGI-proof’?

If NO, then it’s not #futureproof…

There is an interesting situation/phenomenon in #China.

Many #GenZ's absolutely do not want to give up their #luxury lifestyle.

There is a phenomenon known as β€œexquisite poverty” / 精致穷 - i.e. grabbing instant noodles for lunch, while sporting Chanel.

This new era will hurt a lot… #interestingtimes