[JeffInCorvallis]

1757869790[/url]']
I've been experimenting with a variety of AI tools. I realize that they can be hallucinatory and invent citations and so forth, and in its current form, I wouldn't use it for anything other than a draft of certain sections. It's not trustworthy yet.

And yet...I just asked it to add seven one- and two-digit numbers. The total was 85, but the AI engine came up with 87.

A calculator won't fail, the Excel spreadsheet I'm dropping it into doesn't fail when adding and even a wrinkly old human like myself can eyeball seven numbers, add them in my head and come up with the correct number. And to be fair, it added thirty similar sequences correctly.

I don't know when or if AI will take over the world, but...not being able to add seven numbers? What can we infer from that?

A large language model works by predicting the next phrase or “token” based on its training, which might include just about everything on the internet, papers, articles, blogs, books regardless of copyright, and posts from the Cardboard. Great for answering some types of questions, regurgitating info, summarizing, editing emails, and so on. But highly quantitative tasks involving logic and calculation, not so much, as you have discovered.

[JeffInCorvallis]

1757869790[/url]']
I've been experimenting with a variety of AI tools. I realize that they can be hallucinatory and invent citations and so forth, and in its current form, I wouldn't use it for anything other than a draft of certain sections. It's not trustworthy yet.

And yet...I just asked it to add seven one- and two-digit numbers. The total was 85, but the AI engine came up with 87.

A calculator won't fail, the Excel spreadsheet I'm dropping it into doesn't fail when adding and even a wrinkly old human like myself can eyeball seven numbers, add them in my head and come up with the correct number. And to be fair, it added thirty similar sequences correctly.

I don't know when or if AI will take over the world, but...not being able to add seven numbers? What can we infer from that?

A large language model works by predicting the next phrase or “token” based on its training, which might include just about everything on the internet, papers, articles, blogs, books regardless of copyright, and posts from the Cardboard. Great for answering some types of questions, regurgitating info, summarizing, editing emails, and so on. But highly quantitative tasks involving logic and calculation, not so much, as you have discovered.