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https://ai.meta.stackexchange.com/questions/1341/i-am-going-to-be-editing-the-old-questions-forward-any-opinions
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I can offer two (at first sight, conflicting) perspectives on this:

Firstly:

If the letter string 'abc' becomes 'abd' what would "doing the same thing" to 'ijk' look like?

This is just one example of a problem (so-called 'letterstring'letter-string analogy problems') that is not easily framed as an optimization problem - there areis a range of answers that appear compelling to humans, each for it'sits own structurally-specific reason. Some of the subtleties of these kindkinds of problems are discussed in detail here.

Secondly:

Here's a very high-level perspective on AGI in which optimization plays a key part.

It's not at all clear how these two very different scales of approach might be reconciled. As someone who does optimization research for a living, I'd be inclined to say that, certainly for all current, practical purposes, AGI can't really be treated as an optimization problem, since most interesting activities don't readily lend themselves to description via a cost function.

I can offer two (at first sight, conflicting) perspectives on this:

Firstly:

If the letter string 'abc' becomes 'abd' what would "doing the same thing" to 'ijk' look like?

This is just one example of a problem (so-called 'letterstring analogy problems') that is not easily framed as an optimization problem - there are a range of answers that appear compelling to humans, each for it's own structurally-specific reason. Some of the subtleties of these kind of problems are discussed in detail here.

Secondly:

Here's a very high-level perspective on AGI in which optimization plays a key part.

It's not at all clear how these two very different scales of approach might be reconciled. As someone who does optimization research for a living, I'd be inclined to say that, certainly for all current, practical purposes, AGI can't really be treated as an optimization problem, since most interesting activities don't readily lend themselves to description via a cost function.

I can offer two (at first sight, conflicting) perspectives on this:

Firstly:

If the letter string 'abc' becomes 'abd' what would "doing the same thing" to 'ijk' look like?

This is just one example of a problem (so-called 'letter-string analogy problems') that is not easily framed as an optimization problem - there is a range of answers that appear compelling to humans, each for its own structurally-specific reason. Some of the subtleties of these kinds of problems are discussed in detail here.

Secondly:

Here's a very high-level perspective on AGI in which optimization plays a key part.

It's not at all clear how these two very different scales of approach might be reconciled. As someone who does optimization research for a living, I'd be inclined to say that, certainly for all current, practical purposes, AGI can't really be treated as an optimization problem, since most interesting activities don't readily lend themselves to description via a cost function.

added 4 characters in body
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NietzscheanAI
  • 7.3k
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I can offer two (at first sight, conflicting) perspectives on this:

Firstly:

If the letter string 'abc' becomes 'abd' what would "doing the same thing" to 'ijk' look like?

This is just one example of a problem (so-called 'letterstring analogy problems') that is not easily framed as an optimization problem - there are a range of answers that appear compelling to humans, each for it's own structurally-specific reason. Some of the subtleties of these kind of problems are discussed in detail here.

Secondly:

Here's a very high-level perspective on AGI in which optimization plays a key part.

It's not at all clear how these two very different scales of approach might be reconciled. As someone who does optimization research for a living, I'd be inclined to say that, certainly for all current practicalcurrent, practical purposes, AIAGI can't really be treated as an optimization problem, since most interesting activities don't readily lend themselves to description via a cost function.

I can offer two (at first sight, conflicting) perspectives on this:

Firstly:

If the letter string 'abc' becomes 'abd' what would "doing the same thing" to 'ijk' look like?

This is just one example of a problem (so-called 'letterstring analogy problems') that is not easily framed as an optimization problem - there are a range of answers that appear compelling to humans, each for it's own structurally-specific reason. Some of the subtleties of these kind of problems are discussed in detail here.

Secondly:

Here's a very high-level perspective on AGI in which optimization plays a key part.

It's not at all clear how these two very different scales of approach might be reconciled. As someone who does optimization research for a living, I'd be inclined to say that, certainly for all current practical purposes, AI can't really be treated as an optimization problem, since most interesting activities don't readily lend themselves to description via a cost function.

I can offer two (at first sight, conflicting) perspectives on this:

Firstly:

If the letter string 'abc' becomes 'abd' what would "doing the same thing" to 'ijk' look like?

This is just one example of a problem (so-called 'letterstring analogy problems') that is not easily framed as an optimization problem - there are a range of answers that appear compelling to humans, each for it's own structurally-specific reason. Some of the subtleties of these kind of problems are discussed in detail here.

Secondly:

Here's a very high-level perspective on AGI in which optimization plays a key part.

It's not at all clear how these two very different scales of approach might be reconciled. As someone who does optimization research for a living, I'd be inclined to say that, certainly for all current, practical purposes, AGI can't really be treated as an optimization problem, since most interesting activities don't readily lend themselves to description via a cost function.

Source Link
NietzscheanAI
  • 7.3k
  • 24
  • 37

I can offer two (at first sight, conflicting) perspectives on this:

Firstly:

If the letter string 'abc' becomes 'abd' what would "doing the same thing" to 'ijk' look like?

This is just one example of a problem (so-called 'letterstring analogy problems') that is not easily framed as an optimization problem - there are a range of answers that appear compelling to humans, each for it's own structurally-specific reason. Some of the subtleties of these kind of problems are discussed in detail here.

Secondly:

Here's a very high-level perspective on AGI in which optimization plays a key part.

It's not at all clear how these two very different scales of approach might be reconciled. As someone who does optimization research for a living, I'd be inclined to say that, certainly for all current practical purposes, AI can't really be treated as an optimization problem, since most interesting activities don't readily lend themselves to description via a cost function.