Source: CNET
Summary
Current AI, a non-profit organization, has announced significant advancements in its AI technology, which aims to be inclusive of diverse cultures. The updates span across various devices and AI chat platforms. According to the organization, the progress is a notable step towards its mission of making AI accessible to all cultures.
Our Reading
The launch follows a familiar script.
Current AI’s “remarkable progress” is just the latest iteration of “inclusive” AI. They’re “making progress” on devices and chat platforms. Because, you know, that’s never been done before. It’s not like we’ve seen this exact same announcement from every other AI company in the past year. Current AI is “leaving no culture behind,” which is just a nice way of saying they’re trying to get in on the diversity bandwagon.
Author: Evan Null
Not the First, Not the Last
Current AI’s announcement is just another drop in the ocean of AI companies claiming to be inclusive and diverse. It’s a trend that’s been going on for years, and it’s starting to feel like Groundhog Day.
The AI Hype Cycle
We’ve seen this script play out before: a company announces a “breakthrough” in AI, touting its ability to be inclusive and diverse. The media picks it up, and suddenly it’s the next big thing. But when you scratch beneath the surface, it’s just the same old thing with a fresh coat of paint.
What’s Next?
So, what’s next for Current AI? Will they actually deliver on their promises, or will they fade into obscurity like so many other AI companies before them? Only time will tell, but one thing’s for sure: we’ve heard this story before.
The AI Diversity Problem
Current AI’s mission to “leave no culture behind” is admirable, but it’s a problem that’s been around for years. AI systems have consistently been shown to be biased towards certain cultures and demographics. It’s a complex issue that requires more than just a press release to solve.
More of the Same
In the end, Current AI’s announcement feels like just another iteration of the same old AI hype cycle. We’ve seen it before, and we’ll see it again. The question is, when will we actually see some real progress?
