Mind Matters Natural and Artificial Intelligence News and Analysis

TagUnderstanding

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A vibrant blue programming code background represents the intricate work of software developers and the art of computer scripting

Computers Still Do Not “Understand”

Don't be seduced into attributing human traits to computers.
Imagine people making decisions that are influenced by an LLM that does not understand the meaning of any of the words it inputs and outputs. Read More ›
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Digital chatbots on smartphones access data and information in online networks. Robot Applications and Global Connectivity AI Artificial Intelligence innovation and technology

Musk: My AI Will “Understand Reality”

xAI, Musk's alternative to OpenAI, is shrouded in ambitious hopes

Tech giant and billionaire Elon Musk is starting yet another company, and this one has to do with the talk of the town: artificial intelligence. The name of the venture is “xAI.” It’s been an interesting week in the tech and AI world. Meta released “Threads,” a Twitter alternative, and OpenAI is now under investigation by the Federal Trade Commission, calling the AI company into question for its data scraping methods and ChatGPT’s tendency to spin false information. Now that AI is the apple in ever tech mogul’s eye at the moment, I guess it makes sense that Musk is reaching for the branch of temptation. He’s been teasing his hopes for his own AI company for a few months Read More ›

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Say What? AI Doesn’t Understand Anything 

Is that supposed to be a cat, Mr. AI?

Whenever I look at AI generated content, whether it be pictures or text, they all have the same flaw. The AI cannot comprehend what it is making.  Let me explain.  When we humans draw a picture, we are drawing a concept. We are drawing something like “cat climbs a tree” or “cowboy riding into the sunset”. It seems like this is what is happening with a picture drawing AI. We give it a prompt, and it draws an associated picture.  On second thought, maybe not…  When AI draws the picture, what is really going on is it is finding individual-colored pixels that correlate with the letters we typed in its massive database stored in the neural network. Very different than how we draw. We Read More ›

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Panel on AI at COSM 2022

AI’s Lack of Understanding

How are we to view AI in an era where it increasingly seems to mimic human intelligence so well?

We’ve been highlighting a number of interviews from last year’s COSM conference, which attracted many of the most celebrated and respected engineers, scholars, and scientists from around the country. In today’s featured clip, George Montañez, Assistant Professor of Computer Science at Harvey Mudd College, shares his perspective on COSM 2022’s panel on artificial intelligence—areas of agreement and disagreement about the nature and future of artificial intelligence. Montañez, like Robert J. Marks, with whom he shared the panel, thinks AI is impressive and that we’ve made incredible strides in the field of computation, but maintains that these systems lack understanding and sentience. Blake Lemoine, the other panelist in the conversation, thinks AI is capable of a bit more than mere algorithmic Read More ›

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Let’s Take the “I” Out of AI

Large language models, though impressive, are not the solution. They may well be the catalyst for calamity.

When OpenAI’s text generator, ChatGPT, was released to the public this past November, the initial reaction was widespread astonishment. Marc Andreessen described it as, “Pure, absolute, indescribable magic.” Bill Gates said that the creation of ChatGPT was as important as the creation of the internet. Jensen Huang, Nvidia’s CEO, Jensen Huang, said that, “ChatGPT is one of the greatest things ever created in the computing industry.” Conversations with ChatGPT are, indeed, very much like conversations with a super-intelligent human. For many, it seems that the 70-year search for a computer program that could rival or surpass human intelligence has finally paid off. Perhaps we are close to the long-anticipated singularity where computers improve rapidly and autonomously, leaving humans far behind, Read More ›

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What Did the Computer Learn in the Chinese Room? Nothing.

Computers don’t “understand” things and they can’t handle ambiguity, says Robert J. Marks

Larry L. Linenschmidt interviews Robert J. Marks on the difference between performing a task and understanding the task, as explained in philosopher John Searle’s famous “Chinese Room” thought experiment.

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