Mind Matters Natural and Artificial Intelligence News and Analysis

TagNewsmax

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Pixel pattern of a digital glitch / Abstract background, pattern of a digital glitch.

Marks: AI Creating More AI Equals Nonsense

AI "inbreeding" will always lead to model collapse.

Robert J. Marks, computer scientist and host of the Mind Matters Podcast, has a new article out in Newsmax on AI’s failure to meaningfully replicate itself, or build on its own programming apart from a human hand. He calls it “AI inbreeding” and notes that the process always ends in “idiocy,” writing, But what happens if someday much of the content of the web is written by generative AI? Many web scrapings will be from LLM’s and not creative humans. The generated material will be inbred and suffer from early signs of model collapse. Unchecked, the web might contain a lot of content that resembles a blubbering idiot. LLM’s like ChatGPT produce spectacular results. Under the hood, LLM’s impressively manipulate Read More ›

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Amateur observatories, Interior views, vintage engraving.

“Consensus” Doesn’t Always Mean Science

Real scientific discovery happens within a culture of free speech and open dialogue

Robert J. Marks, host of the Mind Matters podcast, recently put out an article at Newsmax discussing “scientific consensus,” and how that term has been used to bully dissenting scientific viewpoints and even establish political and social policy. Marks writes, Consensus was used as a reason to stifle debate during the COVID crisis. Facebook and YouTube saw opposition to the government narrative as disinformation. Posts against consensus were censored and users were banned. Pre-Musk Twitter had a policy concerning tweets about climate change: “Misleading advertisements on #Twitter that contradict the scientific consensus on #climatechange are prohibited, in line with its inappropriate content policy.” The word pairing “scientific consensus” is a destructive science-stifling oxymoron. -Robert J. Marks, Consensus Doesn’t Equal Science | Newsmax.com Read More ›

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Shaking hands with the future: human and AI collaboration. Man and robot on background of huge data center. Based on Generative AI

Marks: The More Complex the AI, the More It Could Go Wrong

Robert J. Marks's new article discusses how AI's growing complexity makes it harder to regulate

Robert J. Marks, director of the Walter Bradley Center for Natural & Artificial Intelligence, has a brand new article out over at Newsmax on the complexity of artificial intelligence and how, regardless of how many “band-aids” we put on its problematic outputs, it’s impossible to fully regulate a machine with this level of sophistication. Because AI is not a “slave to the truth,” it always needs improvement and correction by its human users. The problem is that we can’t avoid some of the damages until they’re already wrought. Marks writes, The more complex a system, the greater the number of ways it can respond and the more ways it can go wrong. The greater the number of possible responses, the Read More ›

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Brush with paper paint, photo collage in colorful pop art style

Making Sense of the Warhol v. Goldsmith Supreme Court Case

Lawyer Richard W. Stevens sheds light on a recent groundbreaking court case that has implications for generative AI and copyright issues

Here is an excerpt of the transcript from a recent Mind Matters podcast episode, which you can listen to in full here. Lawyer and Walter Bradley Center Fellow Richard W. Stevens sat down with Robert J. Marks to discuss a Supreme Court Case regarding AI and copyright issues. Stevens helps us understand more of what the case is about and what’s at stake. For more on this, read about the court case’s conclusion here, as well as Marks’s commentary from Newsmax. Richard Stevens: So to boil this down, the situation was this. A woman by the name of Lynn Goldsmith, a professional photographer, took a photo of the musician named Prince. Later, Andy Warhol was paid to produce an orange Read More ›

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No AI Artificial Intelligence Forbidden Sign Lawsuit Copyright

Supreme Court Ruling Strikes a Blow to “Generative AI”

Ouch. That's a big loss for AI. Here's why:

Can generative AI “think outside the box” even as it draws from preexisting material on the internet? Are the images it produces protected under “fair use”? The Supreme Court of the United States (SCOTUS) has decided “no.” AI fails to be “transformative,” meaning it can’t create new meaning apart from its source material. Robert J. Marks reported on the recent lawsuit Warhol v. Goldsmith, writing, Assume AI is trained with all of the musical compositions of Bach. If the AI generates music that sounds like Bach, it is not transformative. The “meaning or message” can be construed as being the same. It’s still like Bach. On the other hand, if the AI is trained only on Bach but generates music Read More ›