I cycle 60 mins per day along the tow path in London on my Brompton, put it under my desk in the office, and then get the train back in the evening. No issues handling that distance.
If you don’t understand then you should invest some time learning microeconomics, marketing, and moats. Principles from (at least) those 3 areas are involved here.
To give 3 examples:
1. The marginal value of these products is in the mind of the individual buyer. No individual is buying both the AirPods Max 2 AND the MacBook Neo for personal use. You can’t compare marginal value across two different individuals.
2. The MacBook Neo has a different set of substitutable goods vs the AirPods Max 2. This affects margin. AirPods Max 2 buyers are likely heavily bought into the Apple ecosystem already.
3. With the Neo, Apple are in some sense subsidising entry into the Apple Ecosystem and ‘getting them young’. Wouldn’t surprise me if there’s zero or negative margin. With the AirPods Max 2 they are exploiting people who are already bought into the ecosystem. Margins will be high.
>our Reinforcement Learning reading group there //
Anyone else, like me, imagining ML models embodied as Androids attending what amounts to a book club? (I can't quite shake the image of them being little CodeBullets with CRT monitors for heads either.)
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