Practise One – Free Fridays
Lesson 24 DFQ: Post below what you think is most interesting from this example of AI doing a GBB.
Next Lesson: GBB Practise #2
Lesson 24 TBD: GBB Practise #1
Practise One – Free Fridays
Lesson 24 DFQ: Post below what you think is most interesting from this example of AI doing a GBB.
Next Lesson: GBB Practise #2
it was interesting that it was able to generate 10 each of the G, B, Bs which is better than a human can……meaning that with the right questions it can imprve the scope of a GBB very quickly……
the format is also very clear and concise and easy to digest …….
The most interesting aspect is the clear picture that this format produces. I didn’t have any strong sense of how the proposal could work before I read the GBB, but I now have a much clearer picture of how it could work, along with a good sense of the potential disadvantages. Also, I can now see how there could be a number of ways in which alternative solutions could lead to better overall outcomes.
I love GBB and CVS2BVS but AI reinforces the binary thinking at the root of our problems – there is no new thinknig in the outputs from AI. AI can only access what has already been thought and even then, it is limited. i thought of many more good and bad and better thoughts and so did people I spoke to. AI is not thinking, it is accessing data which already exists and presenting it in intersting ways. I found this very narrow and would prefer that people talk to other people and spend time in real reflection and then test their ideas with other humans and then push themselves in a GBB process that is entirely human. i appreciate that most people will simplhy use AI but therein lies the problem
The most interesting point is certainly the logical and neutral manner in which it processes – that is – until it picks up your emotions and becomes more aware of your own style and tries to replicate that!
The first thing I looked at is how good-bad and better points related to each other. I tried to identify if there was a pattern, i.e. one good point counteracted by an exact opposite and then that bad point counteracted by a better point. In a sense, I tried to decode the result in a ”linear” manner. To my amazement, I deduced that this was not the philosophy behind the GBB process, i.e. several ideas stem from a common core but in a very lateral manner. This says something to me- from the moment AI displayed divergent thinking, this would be something very plausible for the (human) user, and that there is a real and innovative skillset there that can be learnt and practised with great results.
That it generates balanced perspectives quickly without defending any of them. No ego, no sunk cost. Humans struggle to critique their own ideas — AI has no stake in the answer.
As someone with a background in ideation this sorts of project is in my wheelhouse and I would probably have come up with pretty much all of the things on the lists. In a day or so though ! So CHatGPT is awesome at getting stuff done so fast.I don’t see anything here though that is genuinely what I would call “lateral”. The “better” points sound “familiar” which was surprising, I was hoping for something more out of the box. But I guess that’s where we come in!
Most interesting to me is ChatGPT is in my opinion employing latterall thinking with many of the suggestions it has come up with.
One student commented that ChatGPT seems to lack focus in coming up with suggestions. I disagree that it is lacking focus. Rather it is leaving it’s box to come up with suggestions outside of it’s logic box.
This is exactly what lateral thinking is all about in my view.