The Eggcorn Database [via] collects and defines words misheard, mistaken or misspelled as other words—like "Eggcorns" and "acorns"—including etymologies and notable examples. It's an Oxfit dictionary for those eye-twitching moments from internet comments and social media postings. — Read the rest
The post Dictionary of Eggcorns: words mispelled as other words appeared first on Boing Boing.
When we create a visual style for a game, we must establish a visual language. This means visual indicators that the player can recognize and understand. Here is an example of visual language that you might recognize:
Each of these blocks provides gameplay context to the player upon seeing them. They each have different behaviors and the player can determine what each of them means by their visual cues.
In a game with climbable ledges, players must be able to differentiate climbable ledges from non-climbable ledges. This necessitates some kind of visual indicator to differentiate the two, or players will get stuck/lost/frustrated. Note how you can almost instantaneously see the path here because the visual language is so well-defined.
The reason that so many games tend to choose yellow for that indicator is because yellow is a high contrast color that sticks out against just about any background color. Look at these real life photos and see how much the yellow sticks out compared to the other colors.
See how your eye is almost immediately drawn to the yellow elements in each picture? The reason you see so many interactable ledges marked with yellow is because it's the brightest, most contrasting color that will pull player eyes to it almost immediately. For anything we absolutely don't want players to miss, we will often use yellow to highlight it because it is the most obvious thing we can do short of putting enormous UI elements pointing at the thing and saying GO HERE.
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AI hiring has been growing at least slightly in most regions around the world, with Hong Kong leading the pack; however, AI careers are losing ground compared with the overall job market, according to the 2024 AI Index Report. This annual effort by Stanford’s Institute for Human-Centered Artificial Intelligence (HAI) draws from a host of data to understand the state of the AI industry today.
Stanford’s AI Index looks at the performance of AI models, investment, research, and regulations. But tucked within the 385 pages of the 2024 Index are several insights into AI career trends, based on data from LinkedIn and Lightcast, a labor market analytics firm.
Here’s a quick look at that analysis, in four charts.
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