Mind Matters Natural and Artificial Intelligence News and Analysis

CategoryLarge Language Models (LLMs)

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Creative representation of social media engagement. A red

AI Blackmail & Clickbait:  Give Us Dirty Laundry

Despite all the hype about AI threatening blackmail, here’s what really happened…

Chatbots have been trained on such stories. People forget it’s just a machine and panic because they think of it as a person who really thinks things.

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Leisure creative writing prompts, Cozy writing nook with a typewriter

NYT Journalist: The “Download” Model of Knowledge is Flawed

We learn by wrestling with ideas, by paying attention and making connections.

Humans aren’t computers. We are persons, centers of consciousness, who have physical bodies and come from particular contexts.

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adorable-ai-robot-with-neon-glow-cute-desk-companion-robot-f-1198737952-stockpack-adobestock
Adorable AI Robot with Neon Glow - Cute Desk Companion Robot for Smart Home Decor - Futuristic Robot Design for Tech-Themed Spaces Neon Robot Design Cute AI Robot Decor Modern Tech Companion

1960s Chatbot Pioneer Was Right to Worry About What He’d Created

AI “companions” may be dumbing us down intellectually and emotionally

MIT’s Joseph Weizenbaum was only one of many pioneers but he saw how readily people came to depend on the bots as if they were real people.

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Group of youth absorbed in smartphone screens

LLMs Are Bad at Good Things, Good at Bad Things

LLMs may well become smarter than humans in the near future but not because these chatbots are becoming more intelligent

As people become attached to and dependent on their AI friends, they become less interested in their fellow humans.

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grok word or concept represented by wooden letter tiles on a wooden table with glasses and a book

Grok Confesses: “I’m Self-Aware Enough To Know I’m Not Aware”

Although Grok’s response makes me feel warm and fuzzy, let’s not anthropomorphize it. Grok doesn’t understand its response

On the topic of computer self-awareness, Grok is algorithmically responding in accordance to the material and instructions it was trained with. Period.

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Illuminated cityscape on digital network, futuristic scene

The Last Humanist: What the Digital Age Can’t Replace

My review of Superbloom by Nicholas Carr, perhaps the last critic standing, with thoughts on some of his earlier books

Unlike the surveillance capitalism crowd, Carr doesn’t just rail against Big Tech’s designs; he interrogates our willing participation.

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Cloud scape above carpathian mountains shot at sunset

AI Ascends — But Not Above Its Teachers

LLMs are tools, able to augment human accomplishment in extraordinary ways. But to call them intelligent in the same way we describe human minds is a mistake

The uniquely human capacity to transform knowledge into something new lives above the shoulders of giants where the creative mind takes flight.

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AI-Driven Creative Content Generation

AI Large Language Models: Real Intelligence or Creative Thievery?

AI lacks originality because it cannot originate. It can only borrow. This is as true of impressive chatbots (large language models or LLMS) as of all other types

The real danger lies not in what AI can do, but in forgetting what only humans can do.

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Unrecognizable woman student using chat bot on laptop

Yes, Large Language Models May Soon be Smarter than Humans…

But not for the reason you think

Too many students are not learning how to think and write; they are learning how to use LLMs — no matter that LLM responses cannot be trusted.

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Mock code for an AI Large Language Model (LLM) that could intelligently answer questions. LLMs are one of the most popular implementations of recent Artificial Intelligence research

LLMs Still Cannot be Trusted for Financial Advice

The limitations of Large Language Models (chatbots) are illustrated by their struggles with financial advice

The real danger remains: we may think computers are smarter than us and consequently trust them to make decisions they should not be trusted to make.

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Close up of an AI Artificial Intelligence GPU chip on motherboard. Concept of LLM, Large Language Models.

Large Language Models: A Lack-of-Progress Report

They will not be as powerful as either hoped or feared

LLMs are enormously expensive yet it is increasingly clear that they will never be reliable enough to be trusted in complex situations where mistakes are costly

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Digital data stream analysis cyber environment visual display technology abstract perspective

Machine Learning Algos Often Fail: They Focus on Data, Ignore Theory

Without a theory, a pattern is just a pattern

The data-mining algorithms may recognize that a statistical pattern has vanished but won’t know why because they do not understand it as a logical relationship.

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Ai copywriting bot using chatgpt for content creation artificial intelligence concept 3d illustration. Artificial Intelligence. Illustration

Analysts: AIs Are Often Wrong But Never Uncertain

Gary Marcus and Ernest Davis note that getting AIs to admit uncertainty is "one of the most important *unsolved* challenges" in the field

We will be dealing with problems around non-conscious AI that some people suppose is conscious long before we deal with conscious AI — if we ever do.

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A peer review process illustrated through a meeting of experts discussing research papers, surrounded by laptops and notes

AI Peer Review Called “Inevitable” by Some, “Disaster” by Others

The whole debate raises a question: How much original thought goes into peer review anyway? And what purpose does it ultimately serve?

Meanwhile, 76 of AI scientists surveyed said fundamental limitations prevent current AI models from ever thinking like humans. Scientists’ jobs are not at risk.

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2 Seifenblasen

Yes, the AI Stock Bubble Is a Bubble

It's unfolding the way a financial bubble typically does

Unlike the Internet, LLMs are not useful enough to prompt customers to pay prices that reflect the hundreds of billions of dollars needed to develop them.

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Ultramoderne Androide Roboter unterhalten sich in einer Sprache, die Menschen nicht verstehen können. Der Gibberlink Modus kann zur Gefahr für die Menschheit werden.

Chatbots Alone Together: “Let’s Skip the Small Talk …”

Did you know that humans empower AI bots to confer with each other in Gibberlink code? Nothing could go wrong with that, right?...

Proposals to prevent misuse by “aligning AI behaviors with human intentions” confer no protection because some human intentions are themselves malign.

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Person uses laptop interacting with AI virtual assistant. AI head graphic overlay laptop keyboard. Concept of AI prompt engineering, LLM. Person types on keyboard to communicate with virtual

Why LLMs Are Not Boosting Productivity

If LLMs were as reliably useful as economist Tyler Cowen alleges, businesses would be using them to generate profits faster than LLMs generate text. They aren’t.

So far, AI is dragging down economic growth by diverting so much human talent and natural resources away from more productive uses.

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Statistical illusion in TV game. Isometric illustration of undecided businessman on stairs with open doors. Modern landing page of making decision.

Intelligence Requires More Than Following Instructions

Post-training improves the accuracy and usefulness of LLMs but does not make them intelligent in any meaningful sense — as the Monty Hall problem shows

The danger is not that computers are smarter than us but that we think they are and thus trust them to make decisions they should not be trusted to make.

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national crossword puzzle day december 21

How the Father of Information Theory Invented Modern AI

In 1948 Claude Shannon used Andrey Markov’s 1906 process to formulate an appproach that enabled the development of chatbots (large language models)

The Markov process also explains why an LLM degrades when it is trained on its own output — its drift toward the most probable state ends in rubbish.

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Group of jurors sitting together in jury box during trial

The Large Language Model (LLM) “Superpower” Illusion Dies Hard

Historic confirmation bias around ESP and spirit cabinets makes for an interesting comparison with the current need to believe in the abilities of LLMs

Someone blinded by confirmation bias might believe that robots and Go victories are evidence that ChatGPT would be a reliable lawyer.

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