The use of AI and trip planning . Startling results.

[Eric Blanche]

Maybe in the future but currently I do not trust AI enough for trip planning in my neck of the woods, in NH.

I can imagine the plethora of city folk who would use AI to plan their trips in the Whites. Would be a disaster.

[Geoff Caplan]

Thought that this might amuse folks…

If you want an example of just how far AIs have to go, I was asking Google’s Gemini to help me find a name for my latest MYOG shelter project. Two of the suggestion were:

Radium Refuge (energetic and secure)
Thorium Throne (robust and enduring).

[Geoff Caplan]

Oh – and Gemini just converted 3′ 10″ to 2.86 cm.

For you Americans out there, that’s random gibberish – the real answer is 116.84 cm.

You really would have thought that it might be able to handle a simple conversion between units?

[Dan]

I don’t know about Gemini, but many LLMs just build a response word-by-word by predicting the most likely next word (next token prediction). They learn by improving the accuracy of the prediction. This can be a good way to generate human-sounding responses, but may not strongly reward mathematical accuracy, unless the model has been trained on the exact question being asked, e.g. “convert 3’10” into cm.”

There are other types of AI algorithms/models that have better potential for certain kinds of problems, like those we are discussing. People are just using the LLMs for everything now because they are widely available and already “trained.” I’m sure that we will eventually learn when to use LLMs and when not to use them. But at the moment, it’s the only option that most of us have.

[Jerry Adams]

They say AI isn’t intelligent because all it does is predict the next word

Maybe that’s what we think of as intelligence, it’s just predicting the next word, we think intelligence is more special than this but that is just our confusion

[Author]

Posts