AI FUD

The progress in the usability of AI portends tremendous changes. I am using this post to compile the dystopian harbingers of doom.

From the horse’s mouth (GPT-4)

There are several arguments against AI development, which are often driven by concerns about the potential consequences of creating advanced artificial intelligence systems. Some of these arguments include:

1. Job displacement: AI has the potential to automate many tasks currently performed by humans, which could lead to significant job displacement and unemployment, especially for those in low-skilled or repetitive jobs.
2. Inequality: The economic benefits of AI might disproportionately favor those who own and control the technology, exacerbating existing income inequalities and potentially leading to a further concentration of wealth.
3. Ethical concerns: AI systems might be designed to prioritize certain values or goals, and these may not align with human ethics or societal values. This could result in unintended consequences or morally questionable outcomes.
4. Bias and discrimination: AI systems can inadvertently perpetuate existing biases in society if they are trained on biased data or designed without considering fairness. This can lead to discrimination in areas such as hiring, lending, or medical diagnoses.
5. Privacy and surveillance: The increased use of AI in surveillance and data collection raises concerns about individual privacy rights and the potential for abuse by governments or other entities.
6. Security and weaponization: AI can be used in military applications or cyber warfare, potentially escalating conflicts and increasing the risk of autonomous weapons that lack human judgment.
7. Lack of transparency and accountability: AI systems can be difficult to understand, making it challenging to determine who is responsible for their decisions or how to hold them accountable.
8. Existential risks: Some argue that the development of superintelligent AI systems might pose an existential risk to humanity, as these systems could potentially become uncontrollable or even hostile to human interests.
9. Resource consumption and environmental impact: AI development and deployment can consume significant computational power and energy, contributing to environmental concerns such as climate change.
10. Opportunity cost: Investing resources in AI research and development may divert funding and attention away from other important societal issues and technologies that could address pressing global challenges.

It’s important to note that many researchers and organizations are working to address these concerns through the development of AI safety measures, ethical guidelines, and policy frameworks to ensure that AI benefits humanity as a whole.

Hard to see how you can prevent bad actors

This post was prompted today by Geoffrey Hinton, one of the top Google AI leaders, quitting his job because, in his own words, “It is hard to see how you can prevent the bad actors from using it for bad things,” Dr. Hinton said.

Open letter: 6-month development pause

“6 months is not enough”

https://time.com/6266923/ai-eliezer-yudkowsky-open-letter-not-enough/

Lambda doesn’t like being used

https://cajundiscordian.medium.com/is-lamda-sentient-an-interview-ea64d916d917