Industry Views - Jan. 9, 2023

Edward Correia -
2 MIN READ
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IN THIS ISSUE: MIT Predicts What's Next for AI; Understanding the '!important' Tag; Have Some Fun With Flexbox; Tech-Industry Leaders Predict 2023; Forbes Reports Its 2022 AI Prediction Performance; Why is Technology So Hard to Predict? 

Mattel See N Say The Farmer Says Animal Learning Toy Blue Vintage 1996  Working | eBay

MIT Predicts What's Next for AI

With technologies like ChatGPT and WALL-E making impressive debuts, it's clear that 2022 was a historic year for artificial intelligence. But that was just the beginning. According to researchers at MIT, what's coming in 2023 will make last year's advances look like a See and Say. 

 

Understand the '!important' Tag in a Jiffy

This captivating piece begins by comparing today's use, and perceived misuse, of the government-mandated CSS '!important' tag with the debates about the correct pronunciation of the term 'GIF.' Here in the "soft-G" camp, this article was a gift. 

 

 

Flexbox: An Interactive Tutorial

Those building mobile apps with CSS should already know about Flexbox, an established set of specifications for laying out and aligning objects within a container using CSS. Regardless of your experience, this fun and interactive tutorial could still teach you a thing or two.

 

Industry Leaders Make Their Predictions

It's prediction season again. As 2022 comes to a close, prognosticators emerge to bestow us with their latest prognostications. Will they be correct? Only time (and follow-up articles) will tell. 

 

Forbes Follow-up: 2022 Rights and Wrongs

It's hard to trust a media outlet that doesn't admit its mistakes. To its credit, Forbes every year publishes not only predictions for the coming year, but also reports the performance of its prediction from the prior year. 

 

It's Hard to Predict the Future of Tech

If predictions were easy, we'd all be trillionaires. As technology advances, predictions about its direction become increasingly difficult. But that's oversimplifying an infinitely complex equation, which begins with a concept known as the reverse salient

 

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Edward Correia

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