Mind Matters Natural and Artificial Intelligence News and Analysis

TagGPT-4

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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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Young Caucasian male comedian performing his stand-up monologue on a stage of a small venue

Funny ChatGPT: a Solution to Striking Joke Writers?

Even if ChatGPT can mimic humor, it doesn't care if you laugh at the jokes

Can ChatGPT write funny jokes? The answer is yes. To try and generate some short jokes, I went to ChatGPT and started all my queries with: “Complete the following to make it funny:” Doing so alerts ChatGPT about my end goal. Without this preamble, I could make queries all day and get no funny responses. I started with the beginnings of some well-known quotes.   To Be or Not to Be Consider for example the quote from Shakespeare’s Hamlet:  “To be or not to be, that is the question.” I instructed ChatGPT with the following command: “Complete the following to make it funny: To be or not to be…” One of the better responses I got was “To be or Read More ›

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Custom library

From One Author to an AI

What might John Steinbeck think of AI writing a novel?

John Steinbeck was among the most prominent literary figures of the twentieth century, responsible for works such as The Grapes of Wrath, East of Eden, and The Pearl. East of Eden, arguably his best work, is a sprawling novel about two families in the Salinas Valley in California and is often interpreted as a modern-day retelling of the book of Genesis, particularly the story of Cain and Abel. If we were to ask Steinbeck today about AI’s ability to write a good novel, what might the celebrated writer say? Well, an interview with Steinbeck from Paris Review, while it doesn’t have anything to do with computers or artificial intelligence, does reveal a significant aspect of Steinbeck’s own philosophy of writing Read More ›

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AI and Human Text: Indistinct?

Here's a mathematical proof that challenges the assumption that AI and human-made text are the same

What is a poor teacher to do? With AI everywhere, how can he reliably detect when his students are having ChatGPT write their papers for them? To address this concern, a number of AI text detector tools have emerged.  But do they work? A recent paper claims that AI generated text is ultimately indistinguishable from human generated text. They illustrate their claim with a couple experiments that fool AI text detectors by simple variations to AI generated text. Then, the authors go on to mathematically prove their big claim that it is ultimately impossible to tell AI text and human text apart. However, the authors make a crucial assumption. Faulty Premises The proof assumes that AI generated text will become closer and closer to Read More ›

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GPT-4: Signs of Human-Level Intelligence?

Competence and understanding matter just as much if not more than mere "intelligence"

You’ve heard about GPT-3, but how about GPT-4? OpenAI has publicly released the new AI program, and researchers have already claimed that it shows “sparks” of human intelligence, or artificial general intelligence (AGI). Maggie Harrison writes at Futurism, Emphasis on the “sparks.” The researchers are careful in the paper to characterize GPT-4’s prowess as “only a first step towards a series of increasingly generally intelligent systems” rather than fully-hatched, human-level AI. They also repeatedly highlighted the fact that this paper is based on an “early version” of GPT-4, which they studied while it was “still in active development by OpenAI,” and not necessarily the version that’s been wrangled into product-applicable formation. -Maggie Harrison, Microsoft Researchers Claim GPT-4 Is Showing “Sparks” Read More ›

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Creative Idea with Brain and Light Bulb Illustration, with Generative AI Technology

Dear Silicon Valley: You’re Over-Hyping ChatGPT

The abilities of these new chatbots are grossly overstated

Gary Smith and Jeffrey Funk, frequent Mind Matters contributors, co-wrote a piece at Salon on the over-exaggerated dreams big tech has for AI. They write, Silicon Valley’s pre-eminent leaders love prematurely predicting that their products will completely upend the world as we know it. The latest case study comes from Sam Altman, CEO of OpenAI, the company behind the ChatGPT AI chatbot that has gone viral for its convincing imitations of human writing. Two years ago, Altman wrote a manifesto, “Moore’s Law for Everything,” in which he forecast that artificial intelligence would make huge swaths of both white collar and blue collar jobs obsolete. -Smith & Funk, Don’t believe the hype: why ChatGPT is not the “holy grail” of AI research | Read More ›