Multiple Studies Now Suggest That AI Will Make Us Morons

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The EU just issued guidelines for AI safety​

The AI Act applies to AI models that the commission deems to carry systemic risks that could significantly affect "public health, safety, fundamental rights, or society,"

mashable.com

The EU just issued guidelines for AI safety, and Meta is already opting out

“Europe is heading down the wrong path on AI," says Meta's head of global affairs.
mashable.com mashable.com

How it was done:

Drawing-up a General-Purpose AI Code of Practice

The first General-Purpose AI Code of Practice received by the Commission details the AI Act rules for providers of general-purpose AI models and general-purpose AI models with systemic risks.
digital-strategy.ec.europa.eu digital-strategy.ec.europa.eu

And the Code of Practice is here:

The General-Purpose AI Code of Practice

The Code of Practice helps industry comply with the AI Act legal obligations on safety, transparency and copyright of general-purpose AI models.
digital-strategy.ec.europa.eu digital-strategy.ec.europa.eu
 

92 Percent of People Don’t Check Their AI Answers, a New Report Warns​

It’s time to think about best practices for using artificial intelligence.

You’d think by now people would know that they really can’t trust large language model (LLM) artificial intelligence apps like ChatGPT to provide accurate information and would carefully check any answers they got from AI tools. After all, there are already plenty of stories of chatbots hallucinating and outright lying to users, sometimes with disastrous consequences.

But a recent report by Exploding Topics, a trendspotting company, suggests that despite people’s knowledge of AI hallucination problems and their own skepticism regarding these tools, only a measly 8 percent actually check the answers they get from AI themselves.
 
Analogous said:

92 Percent of People Don’t Check Their AI Answers, a New Report Warns​

It’s time to think about best practices for using artificial intelligence.

You’d think by now people would know that they really can’t trust large language model (LLM) artificial intelligence apps like ChatGPT to provide accurate information and would carefully check any answers they got from AI tools. After all, there are already plenty of stories of chatbots hallucinating and outright lying to users, sometimes with disastrous consequences.

But a recent report by Exploding Topics, a trendspotting company, suggests that despite people’s knowledge of AI hallucination problems and their own skepticism regarding these tools, only a measly 8 percent actually check the answers they get from AI themselves.
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Including here: https://www.hifivision.com/threads/chatgpt-vs-audio-forums.99107/
 
alpha1 said:
Including here: https://www.hifivision.com/threads/chatgpt-vs-audio-forums.99107/
Click to expand...
@essrand is a very experienced and passionate audiophile. I read and enjoy his well written accounts detailing his process of choosing components and his personal observations in a frank and lucid manner. I hope he will write about how and what he finally chose to replace his Nagra and other components and, if and how the ChatGPT recommendations he asked and received influenced these choices.
 
In the field of bio medical and public health research for policy recommendations there is a graded system that is used by the WHO, and others. Based on several criteria and evidence such recommendations are put forth as
“Strongly recommended” or “Recommendations with conditions etc”
Such papers are accessible to everyone and the data sources are accessible to anyone who wants to check their validity. The process used is also documented as also disclosure of affiliations of each author.

Maybe the “masters of AI” need to be educated and compelled on such ethical practices and move the AI movement towards transparency in disclosing how AI recommendations are made in every case.
But that would not lead to profits and wealth for the masters of AI?
 

Audio Signal Processing in the Artificial Intelligence Era: Challenges and Directions​

Authors: Steinmetz, Christian J.; Uhle, Christian; Everardo, Flavio; Mitcheltree, Christopher; McElveen, J. Keith; Jot, Jean-Marc; Wichern, Gordon
Open_Access_logo.png

OPEN ACCESS
Artificial intelligence (AI) has seen significant advancement in recent years, leading to increasing interest in integrating these techniques to solve both existing and emerging problems in audio engineering. In this paper, the authors investigate current trends in the application of AI for audio engineering, outlining open problems and applications in the research field. The paper begins by providing an overview of AI-based algorithm development in the context of audio, discussing problem selection and taxonomy. Next, human-centric AI challenges and how they relate to audio engineering are explored, including ethics, trustworthiness, explainability, and interaction, emphasizing the need for ethically sound and human-centered AI systems. Subsequently, technical challenges that arise when applying modern AI techniques to audio are examined, including robust generalization, audio quality, high sample rates, and real-time processing with low latency. Finally, the authors outline applications of AI in audio engineering, covering the development of machine learning–powered audio effects, synthesizers, automated mixing systems, and spatial audio, speech enhancement, dialog separation, and music generation. Emphasized are the need for a balanced approach that integrates humancentric concerns with technological advancements, advocating for responsible and effective application of AI.
Download: PDF (8.91 MB)
 
Nobel Laureate and godfather of AI, Geoffrey Hinton shared an short and important message about potential risks with artificial intelligence
 
AI will become more and more intelligent while humanity trudges along the path to eternal stupidity!! The newer generation are the ones that will suffer the most. Nowadays you won't know what a person is unless you meet them in person and have a conversation. Most of the time, the gap between what you thought and what you experience is mind boggling. The amount of technology people use while communicating builds a totally different picture of what the person is in reality. Maybe at some point in time, cyborgs will become the new reality.
 
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Definitely we are there almost. Even after Covid we are marching towards morons zone. We will also become more lazy than before, just like how illustrated in Wall-E. Less work and more free time. Words from Preplexity CEO, job market will shrink many will look towards government for subsidy to survive & lot more free time for most.
 
The day calculator came - process of human beings using less of their brains started . Then came computers and supercomputers and so on and now its AI . One thing which comes to my mind is will there be enough brains left in the future for people to think and develop and code and come up new inventions in the future if this continues in this way . Too much automation is just not good

There was a time when I used my brain and fingers to do basic math's , now even I find myself reaching out to my laptop calculator and when I am buying stuff in the stores - sort of given up on checking the bill . Even That basic addition feels like too much to do .
 
COOLDUDE7808 said:
The day calculator came - process of human beings using less of their brains started . Then came computers and supercomputers and so on and now its AI . One thing which comes to my mind is will there be enough brains left in the future for people to think and develop and code and come up new inventions in the future if this continues in this way . Too much automation is just not good

There was a time when I used my brain and fingers to do basic math's , now even I find myself reaching out to my laptop calculator and when I am buying stuff in the stores - sort of given up on checking the bill . Even That basic addition feels like too much to do .
Click to expand...
Well, some people did use calculators in some form or other at different points in time to arrive at AI?
I am personally not against progress in science and technology. But as a civilised society we also need to be conscious of the dangers and misuse of emerging technologies which as the past shows us is very real and can not be undone. A good example is Nuclear Weapons technology and the possibility of mutually assured destruction (MAD!)
 
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The executive order focuses on three major areas, or pillars designed to ensure U.S. AI dominance and promote economic progress domestically.

As expected, the executive order pulls back on regulations targeting tech companies described as "onerous" and "bureaucratic red tape," includes many provisions on expanding AI infrastructure within the country, and lays out a case for establishing U.S. AI technology as the global standard for "like-minded nations" over adversarial countries like China.

" The announcement mandates, "AI systems must be free from ideological bias and be designed to pursue objective truth rather than social engineering agendas when users seek factual information or analysis."

"The United States must meet global demand for AI by exporting its full AI technology stack—hardware, models, software, applications, and standards—to all countries willing to join America’s AI alliance. The executive order also directs the Department of Commerce (DOC), the Office of Science and Technology Policy (OSTP), and the National Security Council (NSC) to strengthen exports control of valuable chips to make sure they don't wind up in "countries of concern."

Elsewhere, the order directs federal agencies focused on domestic labor and economics, to "study AI’s impact on the labor market," and build programs for retraining of workers impacted by AI job replacement.

Little discussed in the policy world until now, announcements addresses the sometime subjective and insufficient evaluations of AI models. Rigorous evaluations can be a critical tool in defining and measuring AI reliability and performance in regulated industries," the order said. "Over time, regulators should explore the use of evaluations in their application of existing law to AI systems."
 
arunlouie said:
Definitely we are there almost. Even after Covid we are marching towards morons zone. We will also become more lazy than before, just like how illustrated in Wall-E. Less work and more free time. Words from Preplexity CEO, job market will shrink many will look towards government for subsidy to survive & lot more free time for most.
Click to expand...
On the contrary I predict a lot less free time for most human beings and extreme competition among the poor to survive unless there are govt regulations.

Case in point: industrialization in Britain. British rural people doing farming and handicraft related activities had physically taxing but limited duration (due to reliance on daylight) and limited mental stress (due to slow pace of life and decisioning). However, advent of industrialization threw most of them into extreme competitive and stressful situation where they were forced to work for many more hours per day, many night shifts, and face many uncertainties in life.

Analogous said:
This interesting take on AI and human AI relationships from Yuval Noah Harari is worth a watch:
Click to expand...
Been there, done that: https://edition.cnn.com/2025/07/02/tech/chatgpt-ai-spirituality
 
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