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“From January to September 2024, marketing intelligence platform MediaRadar found that (X’s former top advertisers including Comcast, IBM, Disney, Warner Bros. Discovery, and Lionsgate Entertainment) collectively spent less than $3.3 million on X. This is a 98% year-over-year drop from the $170 million spent during the same period in 2023.”
So then you see where this is going.
1. For any class X, there is a canonical method
F: X -> T<X>
2. For any class X, there is a canonical method G: T<T<X>> -> T<X>.
3. For classes X and Y, and any method f: X -> Y,
there is a corresponding method “T<f>”: T<X> -> T<Y>.
—————-Here “any type” means any type that is compatible with the template.
And then there’s some additional rules which make all these methods compatible, based on the different ways of stacking nested T’s and the “canonical” maps you get. Admittedly there is some confusing accounting here, but I also think most natural ways of constructing the above three requirements are going to satisfy them anyway. For List and Maybe it’s fairly obvious what the above methods are.
I dunno, maybe I have it wrong and someone can correct my understanding.
But yeah by analogy with the US, it’s not as if the W. Bush administration can be credited with the creation of Google.
Isn’t this basically the paradigm of a closed-book exam? I personally use LLM’s for learning by treating them like a textbook or Wikipedia article I can ask follow-up questions to.
Though to be clear, I am disappointed with the experience about 50% of the time.
One problem LLM’s don’t fix is the misalignment between app developers’ incentives and users’ incentives. Since the developer controls the LLM, I imagine that a “smart” shifting UI would quickly devolve into automated dark patterns.
“Never did.”
In contrast, when I’m trying to do something truly novel, I might spend days with a pen and paper working out exactly what I want to do and maybe under an hour coding up the core logic.
On the latter type of work, I find LLM’s to be high variance with mostly negative ROI. I could probably improve the ROI by developing a better sense of what they are and aren’t good at, but of course that itself is rapidly changing!
With an app, you have a very clear indication of how far away your driver is, but more importantly whether they’re coming at all.
(Also with the EU specifically I very much had an issue with the language barrier in Florence).
If so, just FYI I believe that pattern is usually referred to as “opt-in.” As in, the feature is off by default, and the user must opt in to using it.
Funnily enough, the first “professional” coding I ever did was writing up a Stroop test in Visual Basic for a neuro professor, and I recall the effect being undeniably clear. At a personal anecdotal level, I would time myself with matching colors versus non-matching, and even with practice I could not bring my non-matching times down to my matching times.