When you purchase through links in our articles, we may earn a small commission. Excitement has turned into disdain. The more I use it, the more I hate it. Artificial intelligence, like Mondays, is becoming universally disliked--so much so that I feel redundant writing about how much I've grown to hate it lately. And yet, I find myself using it more and more.

When you purchase through links in our articles, we may earn a small commission. I thought AI would replace Photoshop. Here's why I still do it myself Now that the novelty of generative AI is wearing off, it's clear that there are some serious limitations. When ChatGPT first debuted, I thought my days as a writer were numbered. There are so many things it can do, and I imagine artists have had similar pangs of fearful panic as generative AI keeps getting ever better at creating lifelike and/or stylized images.

Connectivity has improved by leaps and bounds since the dawn of the 21st century, and that has in turn enabled the growth of many industries, analytics included. However, as much as bandwidth and latency may have improved across large distances, there is still no real substitute for the response time of local hardware, and when it comes to analyzing big data, sometimes that's really important. With masses of on board sensors and cameras, there is a ton of data to process at any given moment, helping the passengers avoid obstacles and stay within the bounds of the roadway. Sending that information to the cloud is doable, but in moments of danger where every millisecond counts, it's far better to make those decisions locally. Relying on a remote connection would also require such vehicles to remain in strong coverage areas such as major population centers, where the improved infrastructure of traditional transport networks makes driverless transit less useful than it might in somewhere more remote.