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Just watched this excellent keynote about how AI is reshaping software by Andrej Karpathy. I’m by no means a software engineer, but I've extrapolated some broader takeaways from it that can be generalised for anyone simply interacting with software, i.e. people like you and me: ⬇️ https://x.com/ycombinator/status/1935496106957488566
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1) AI will become analogous to public utilities like electricity—pervasively distributed and accessible on-demand. You are thus handicapping yourself if you don’t use it. 2) Unlike other tech like computing and the Internet, the diffusion of AI has been largely consumer-first rather than institutions-first. You cannot rely on your employer, your school or the government to prompt you into using AI. By then, it will be too late. 3) How you use AI will be your principal differentiating factor. And how you use AI is in turn a function of how you think, express yourself and engage with others. These are qualities that have long been important before AI, and will continue to be so post AI. 4) Natural language will become our main interface with software. Your ability to communicate will therefore directly correlate with your ability to make and do things with computers.
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5) Human work will lean more towards verification than generation. But even the act of verification may be automated. I therefore prefer the concept of taste—the ability to discern what is useful, aesthetic or simply good, cultivated not just from aggregated data but also through wrestling with the subjectivities of our lived experience. When anything and everything can be easily generated by AI, good taste becomes even more fundamental for verification, curation and management. 6) Since good outputs from AI require well-defined context windows, the ability to recognise, parse and frame different contexts well will be a superpower. Context-switching becomes the new multi-tasking.
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