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We don't need precision to see the big picture. Think of something that AI can't do right now, then wait and see how long it takes before it can do it.

to be decided 1y ago

Current AIs can't *think*?

As in: take information as a foundation and then use logic combined with this information to come up with answers to questions.

As far as I know current AIs are merely capable of producing texts that would have a relatively high probability of being uttered by a human, based on the training data. Maybe that is somewhere on a shared spectrum with thinking/reasoning but it's far away.

Or did I miss something and there are AIs that differ significantly from the LLM approach?

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Discussion

ynniv 1y ago

Given their framing as "predicting the next word", that's a common expectation. The mistake is seeing the interface as the implementation. In a way "predicting the next word" is how people talk as well, so to know how "intelligent" an LLM is we need to see whether they can predict something that is reasonable but not obvious:

> My car gets 30 miles to the gallon and currently has 2 gallons of gas. Gas is currently $3/gallon. How much money do I need to drive 100 miles?

Let's approach this step-by-step:

First, let's calculate how many miles we can drive with the current gas:

The car has 2 gallons

It gets 30 miles per gallon

So, 2 gallons × 30 miles/gallon = 60 miles

Now, let's see how many more miles we need to drive:

We want to drive 100 miles total

We can already drive 60 miles

So, we need to drive an additional 100 - 60 = 40 miles

Let's calculate how many gallons of gas we need for these extra 40 miles:

The car gets 30 miles per gallon

So, 40 miles ÷ 30 miles/gallon ≈ 1.33 gallons

Now we know how much gas to buy, let's calculate the cost:

Gas costs $3 per gallon

We need 1.33 gallons

So, 1.33 gallons × $3/gallon = $4

Therefore, you need $4 to buy enough gas to drive 100 miles.