Anecdotal experience, but when bugfixing I personally find if a model introduces a bug, it has a hard time spotting and fixing it, but when you give the code to another model it can instantly spot it (even if it's a weaker model overall).
So I can well imagine that this sort of approach could work very well, although agree with your sentiment that measurement would be good.
> We have a sense of what we would most love to do but we immediately push it aside. Why? Typically because “it is not realistic” which is code for, “I can’t make money doing this.”
I see more and more blog posts that contain interactive elements. Despite the general enshittification of the average blog and the internet, this feels like a 'modern' touch that actually adds something valuable to the sufficient ad-free no-popups old blog style.
I don't think that will happen because it hasn't for other technological improvements. In the end people pay for "good enough" and that's that. If "good enough" is now cheaper to implement that's all they will do. I've seen it in other technologies. As an example due to more precise manufacturing many manufacturers have used it to cheapen things like cars, electronics, etc just to the point where it passes warranty mostly; in the old days they had to "overbuild" to get it to that point putting more quality into the product.
Quality is a risk mitigation strategy; if software is disposable just like cheap manufactured goods most people won't pay for it thinking they can just "build another one". What we don't realise is due to sheer cost of building software we've wanted quality because its too expensive to fix later; AI could change that.
Hoping we invest in quality, more software (which has a price inelastic curve mostly due to scale/high ROI) etc I'm starting to think is just false hope from people in the tech industry that want to be optimistic which generally is in our nature. Tech people understand very little about economics most of the time and how people outside tech (your customers) generally operate. My reflection is mostly I need to pivot out of software; it will be commoditized.
Yes, certainly agree. A few days ago here there was this blog claiming how formal verification would become widely more used with AI. The author claiming that AI will help us with the difficulty barrier to write formal proofs.
The AI only one presumably has a much faster response time. The singularity is thus not here because programmer time is still the bottleneck, whereas as I understand in the singularity time is no longer a bottleneck component.
I'm not involved in business decisions and while I'm very AI positive I believe Redis as a company should focus on Redis fundamentals: so my piece has zero alignment on what I hope for the company.
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