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by Hermitian909 977 days ago
I'm working on integrating AI into a product right now: IMO you want to look at what's happening now as more a shift in cost to develop and maintain - which itself is going to create qualitative differences.

I can now have 1-2 developers stand up ML backed services at a level of quality that a few years ago would have required an ML + engineering team to build along with an ongoing tuning burden. Now that the AI is "good enough" out of the box time-to-value has dropped, which also allows for more exploration.

One area I'm seeing a lot of traction at my company and amongst other developers: onboarding flows for complex products. LLMs are really great at taking a small amount of input from or about a user, walking down a decision tree, and creating some initial dummy data relevant to them to more quickly demonstrate value. You might not ever know chatGPT is involved but it doing wonders for quite a few companies' conversion rates.

1 comments

That’s great! I hope small uses of AI like this work to make us more efficient, but that doesn’t sound exactly like a societal breakthrough, to be able to sell stuff better. I’m looking for AI that can do things other than make capitalism more efficient at parting people from their money.

(Yes, I’m a negative asshole. I should probably be more open minded.)

> I’m looking for AI that can do things other than make capitalism more efficient at parting people from their money.

I think you're really under-estimating the positive, human value that can come out of what I'm describing.

If you leave the world of software companies you'll find that a lot of humanity is wasting huge amounts of time on tasks that could be easily be automated. My most recent experience was the Electronic Vehicle research space - I was able to rather straightforwardly reduce testing cycles for certain key components from 1 year to 1 month through some straightforward software and collaboration with some scientists.

Most of what I accomplished could have been achieved by the scientists if they had used something like Retool[0], but Retool is too sophisticated a tool for them to ramp up on. If AI could make Retool accessible to someone with the technical sophistication of Material Scientist who can write a little Python, it might greatly speed up the rate at which we advance EV technology.

The point I'm making is that making it easier to make products that are accessible means that it's easier to distribute the positive effects of innovation to the rest of society faster. If anything, there's the potential to lower profits long term because today creating a product that is both valuable and accessible is an incredible moat.

[0] https://retool.com/