Source: Wired
Summary
Wired has compiled a glossary of important AI terms and phrases. The list includes definitions for words and phrases such as “active learning”, “adversarial attack”, and “backpropagation”. The glossary aims to help readers understand the rapidly evolving field of artificial intelligence. According to the article, the list is not exhaustive, but it covers some of the most important and commonly used terms.
Our Reading
The announcement sounds ambitious.
A new glossary of AI terms has been released, because what the world really needed was another list of buzzwords. The list includes terms like “deep learning” and “neural network”, because apparently, these need to be explained again. The glossary promises to help readers “understand the rapidly evolving field of artificial intelligence”, which is code for “we’re going to confuse you with more jargon”. The real innovation here is the ability to make a simple concept sound complicated.
Author: Evan Null
Unpacking the Hype
The AI glossary is just the latest example of the tech industry’s love of rebranding old ideas. Remember when “AI” used to be called “machine learning”? Or when “machine learning” was just called “statistics”? The more things change, the more they stay the same.
The Never-Ending Cycle
The release of a new glossary is a sure sign that the hype cycle is in full swing. First, a new term is coined, then it’s hyped, and finally, it’s explained in a glossary. Rinse and repeat. It’s a cycle that’s familiar to anyone who’s been following the tech industry.
The Importance of Jargon
The use of jargon is a key part of the tech industry’s marketing strategy. By using complicated terms, companies can make their products sound more impressive than they actually are. It’s a way of creating a sense of exclusivity and expertise. But for those outside the industry, it can be alienating and confusing.
The Real Innovation
The real innovation in the AI glossary is not the terms themselves, but the way they’re presented. The use of simple definitions and examples makes the glossary accessible to a wider audience. But let’s not get too carried away – it’s still just a list of buzzwords.
Conclusion
The AI glossary is a symptom of a larger problem in the tech industry. The focus on hype and marketing over substance and clarity is a trend that’s unlikely to change anytime soon. But for those of us who are tired of the hype, it’s nice to have a list of buzzwords to refer to.
