Companies are going all-in on artificial intelligence right now, investing millions or even billions into the area while slapping the AI initialism on their products, even when doing so seems strange and pointless.
Heavy investment and increasingly powerful hardware tend to mean more expensive products. To discover if people would be willing to pay extra for hardware with AI capabilities, the question was asked on the TechPowerUp forums.
The results show that over 22,000 people, a massive 84% of the overall vote, said no, they would not pay more. More than 2,200 participants said they didn’t know, while just under 2,000 voters said yes.
Machine vision is absolutely the most slam dunk “AI” does work and has practical applications. However it was doing so a few years before the current craze. Basically the current craze was driven by ChatGPT, with people overestimating how far that will go in the short term because it almost acts like a human conversation, and that seemed so powerful .
That’s why I love ai: I know it’s been a huge part of phone camera improvements in the last few years.
I seem to get more use out of voice assistants because I know how to speak their language, but if language processing noticeably improves, that will be huge
Motion detection and person detection have been a revolution in cheap home cameras by very reliably flagging video of interest, but there’s always room for improvement. More importantly I want to be able to do that processing real time, on a device that doesn’t consume much power
None of what you’re describing is anything close to “intelligence”. And it’s all existed before this nonsense hype cycle.
AI camera generation isn’t camera improvement.
When my phone takes a clearer picture in darker situations and catch a recognizable action shot of my kid across a soccer field, it’s a better camera. It doesn’t matter whether the improvements were hardware or software, or even how true to life in some cases, it’s a better camera
Apple has done a great job of not only making cameras physically better, but integrating LiDAR for faster focus, image composition across multiple lenses, improved low light pictures, and post-processing to make dramatically better pictures in a wide range of conditions