hi! I haven't read the Guide to AI assisted engineering yet, but it seams to me that in the "Take a multi-dimensional approach to measurement." Paragraph, we are missing some opportunity-costs.
The first is the chance to be siloed in technologies that are "brand new" - what if a supplier suddenly changes its business model? I mean, this field is murky that we cannot find a reasonable substitute out of the blue in no time as we do for commodities.
The second: environmental issues. We should take care of our environment in every aspect of our lives. Period. Or at least be conscious about that :-)
And, finally, what about the fact that we we are delegating too much to AI? I am not a luddist :-) I want AI to be used for meaningful things and at the same time still have the opportunity to exercise my brain.
Otherwise, when, from time to time our beloved AI tools would go down, we wouldn't be able to do nothing, the younger because they never walked alone, the older because they forget:-)
Some good points Veronica. I think the risk of a vendor evaporating is there for any innovative tool. It’s one thing to pick something for a personal project, and another thing altogether for enterprise use. Something being brand new doesn’t excuse it from reasonable due diligence when selecting a vendor.
The environmental implications are something I do think about but I just don’t have enough data on it. There’s a lot of nuance. Some AI workloads might be energy intensive, but we can also use AI to optimise code and reduce compute footprints, or other things that may have a net positive impact on the environment.
hi! I haven't read the Guide to AI assisted engineering yet, but it seams to me that in the "Take a multi-dimensional approach to measurement." Paragraph, we are missing some opportunity-costs.
The first is the chance to be siloed in technologies that are "brand new" - what if a supplier suddenly changes its business model? I mean, this field is murky that we cannot find a reasonable substitute out of the blue in no time as we do for commodities.
The second: environmental issues. We should take care of our environment in every aspect of our lives. Period. Or at least be conscious about that :-)
And, finally, what about the fact that we we are delegating too much to AI? I am not a luddist :-) I want AI to be used for meaningful things and at the same time still have the opportunity to exercise my brain.
Otherwise, when, from time to time our beloved AI tools would go down, we wouldn't be able to do nothing, the younger because they never walked alone, the older because they forget:-)
Some good points Veronica. I think the risk of a vendor evaporating is there for any innovative tool. It’s one thing to pick something for a personal project, and another thing altogether for enterprise use. Something being brand new doesn’t excuse it from reasonable due diligence when selecting a vendor.
The environmental implications are something I do think about but I just don’t have enough data on it. There’s a lot of nuance. Some AI workloads might be energy intensive, but we can also use AI to optimise code and reduce compute footprints, or other things that may have a net positive impact on the environment.