Sckharshantallas

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Joined 2 years ago
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Cake day: June 11th, 2023

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  • Apple’s market share in the U.S. fell from 56% to 49%, while Samsung’s share surged from 23% to 31%

    As much as they come up with reasons of why this happened, the reasons given don’t make sense to me. It’s not like there’s anything new to Samsung having a wide range of devices (from cheap to expensive) and iPhones changing little from one version to the next.

    I’d guess the reason is something else, like an unusual deal or promo going on etc.

    For example, the main reason iPhones got a huge market share in Japan is because in the old times they used to be cheap because of a deal between Apple and a carrier there (SoftBank).






  • That’s actually quite common in large companies, just recently I read this story:

    Back then, there was close to zero collaboration between divisions at Microsoft […] In late 2013, my team was building Skype for Web, which we positioned as a competitor to Google Hangouts. We had a problem, though: in order to start a video or voice call, users needed to download a plugin which contained the required video codecs. We noticed Google Hangouts did the same on Internet Explorer and Firefox, but not on Chrome because the plugin was bundled with the browser for a frictionless experience. […] My team decided we had to offer the same frictionless experience on Microsoft’s latest browser, Edge, which was in development at the time. […] the team politely and firmly rejected bundling our plugin into the new Microsoft browser. The reason? Their KPI was to minimize the download size of the browser, and helping us would not help them reach that goal.




  • This kind of logic never made sense to me, like: if an AI could build something like Netflix (even if it needed the assistance of a mid software engineer), then it means every indie dev will be able to build a Netflix competitor, bringing the value of Netflix down. Open source tools would quickly reach a level where they’d surpass any closed source software, and would be very user-friendly without much effort.

    We’d see LLMs being used to create and improve rapidly infrastructure like compilers, IDEs and build systems that are currently complex and slow, rewrite any slow software into faster languages etc. So many projects that are stalled today for lack of manpower would be flourishing and flooding us with new apps and features in an incredible pace.

    I’m yet to see it happen. And that’s because for LLMs to produce anything with enough quality, they need someone who understands what they’re outputting, someone who can add the necessary context in each prompt, who can test it, integrate it into the bigger scheme without causing regressions etc. It’s no simple work and it requires even understanding LLMs’ processing limitations.