Apple
fromThe Verge
8 hours agoThe mad dash to build the future of multimedia
A small team at Apple revolutionized multimedia by developing software-based video playback, eliminating the need for expensive hardware.
The purpose of this release is to allow app developers and early adopters to create "even better software experiences". The installation requires flashing a ROM, and if you don't have experience in software development or you expect to use the device as a daily driver, it's not recommended to proceed.
Microsoft has long prevented you from creating a local account to sign in to your Windows 11 PC. Instead, you're forced to use a Microsoft account even if you don't plan to use any of its associated features.
As a forward-deployed engineer, my primary job is listening to customers. The results are very rewarding. Software engineers can feel far removed from customers, because they often can't see their impact.
If a team of human engineers built a web browser that only half-worked, it wouldn't get people talking. But when Michael Truell, CEO of coding startup Cursor, posted on X last week that a swarm of AI agents had built a browser that, he wrote, "kind of works"-while running uninterrupted for a week without any human intervention-it went viral across the tech world, with over six million views.
You're in total darkness and then it'll flicker on and you go like, 'I can see everything.' And then two seconds later, boom, pitch black.
AI is not destroying professional careers - it's just helping every professional and field evolve for the next generation. AI, especially recent generative AI innovations, has started helping everyone boost their day-to-day working productivity with human-like intelligent automation. Programmers had good old days - they used to have a geeky working style with interesting planning, experimenting, designing, development, testing, and collaboration activities.
If you've worked in software long enough, you've probably lived through the situation where you write a ticket, or explain a feature in a meeting, and then a week later you look at the result and think: this is technically related to what I said, but it is not what I meant at all. Nobody considers that surprising when humans are involved. We shrug, we sigh, we clarify, we fix it.
But LLMs took it a notch even further, coders have started morphing into LLM prompters today, that is primarily how software is getting produced. They still must baby sit these LLMs presently, reviewing and testing the code thoroughly before pushing it to the repo for CI/CD. A few more years and even that may not be needed as the more enhanced LLM capabilities like "reasoning", "context determination", "illumination", etc. (maybe even "engineering"!) would have become part of gpt-9