This article discusses a recent branding trend in which companies drop vowels from their names with the intent of appearing more modern. Following companies like Flickr, Scribd, Grindr, and Tumblr, Standard Life Aberdeen recently announced a name change to Abrdn. This move has been met with criticism by the public and linguists alike who've deemed it a failed attempt to be use youth language and appear "edgier." Linguists have brought up that dropping vowels can only be effective with certain words. Since Abrdn drops two vowels, it makes it much more difficult to pronounce, which could lead to brand unfamiliarity. On the other hand, other linguists argue that it simply feeds off a modern language trend, and could indeed be accomplishing its goal.

This article describes a recent study in which scientists were able to use CT scans to generate 3-D models of Neanderthal ear structures. In the past, attempts to determine whether Neanderthals used language hinged on the hyoid bone, a single piece of the Neanderthal vocal tract. However, these scientists took a different approach by looking at the ears of Neanderthals to give clues about Neanderthal language. By running the ear models through computer programs, scientists were able to determine that the Neanderthal ear's "sweet spot" included higher frequencies characteristic of consonant production, and therefore human language. This is exciting because it gives scientists another piece in the puzzle of early human language development.

This article discusses the use of scientific jargon in scientific research, and specifically how it can be a detriment to the effectiveness of a paper. The article argues that although jargon serves the purpose of conveying meaning with precision, for most people, other scientists included, the use of excessive jargon an be an obstacle to communication. In a study focused on the jargon-heavy field of cave science, two researchers found that highly-cited papers did not have jargon in their titles, and used less than 1% jargon in their abstract. This was used as evidence that using less jargon indicates that your paper is likely clearer, meaning more people will understand the information, and ultimately, the paper is more effective.

This article describes a study conducted by the Allen Institute of Artificial Intelligence which evaluated AI's capability to actually understand the language it produces. This comes after recent advancements in natural-language processing (NLP) have allowed AI to generate convincing literary works. In the study, researchers posed over 44,000 questions, built off the Winograd Schema Challenge, to an AI system. Essentially, the questions used pairs of sentences with slight differences that flipped the meaning of a pronoun, thus requiring a comprehensive understanding of semantics in order to correctly assign the pronoun. The study found that the AI only had a 60-80% success rate, compared to the human success rate of roughly 94%.