Thread regarding Verizon Communications Inc. layoffs

Why AI LLMs are causing havoc (CONFIDENTLY give wrong answers)

From Google AI itself (word for word): the model can confidently predict an incorrect relationship between ....

A week or so ago I had asked Google about wood flooring (for a potential remodel), specifically some details about standard wood floor thicknesses today versus what might be seen in older homes. At one point in the Google AI response, it came back stating 7/8 inches was smaller than 3/4 inches. Of course, I challenged this and Google corrected itself with an explanation of why it happened. I wish I had captured the response back then, but I was able to coax Google to explain the error again. Below is Google's response:

Why The Error Happened
The mistake occurred because large language models (LLMs) do not naturally perform mathematical operations the way a computer calculator does.How I Process Text: LLMs predict the next most likely word or token based on patterns in data.The "Token" Problem: Because fractions like 7/8 and 3/4 are read as text patterns rather than numerical values, the model can confidently predict an incorrect relationship between them based on how they appear in sentences.The Missing Step: I failed to run the background Python interpreter to convert those fractions into decimals (0.875 versus 0.75) to verify the math before outputting the answer.Without that code execution check, the text generator generalized incorrectly, leading to that math error.

Understand, Dan (and cronies)?


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Post ID: @OP+1kx4da9s7

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I used our work AI to ask some basic questions. It went on a tangent about keeping tabs on slack and AYS for any updates. I asked it if it was connected to those tools and it confessed that it got too into the role playing that it just made it all up and apologized for the mistake. Needless to say I was surprised but not delighted.

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Post ID: @ac+1kx4da9s7

AI is the how. EI is the why. Verizon is a world class leader in AI and I am so excited for the power it unlocks in all of us to serve our customers and communities!

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Post ID: @a5+1kx4da9s7

This sounds like many a manager I've had - confident blowhards without real substance behind them. But, for some reason, those type of people too often rise up through the ranks to the detriment of many.

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Post ID: @a1+1kx4da9s7

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