By observing the activities and relationships of musicians and sound designers to the activities of creation, performance, publishing and dissemination with artificial intelligence (AI), from two specialized forums between 2022 and 2024, this article proposes a lexicometric analysis of the representations linked to their use. Indeed, the machine, now equipped with artificial intelligences requiring new appropriations and enabling new mediations, constitutes new challenges for artists. To study these confrontations and new mediations, our approach mobilizes the theoretical framework of the Human-AI Musicking Framework, based on a lexicometric analysis of content. The aim is to clarify the present and future uses of AI from the interfaces, in the creation of sound and musical content, and to identify the obstacles, obstacles, brakes and limits to appropriation ``in the fact of making the content one's own and integrating it as a part of oneself'' (Bachimont and Crozat, 2004) in the context of a collaboration between musician and machine.

Humanity faces numerous problems of common-pool resource appropriation.

A few weeks ago, OpenAI pulled off one of the greatest corporate promotions in recent memory. Whereas the initial launch of ChatGPT, back in 2022, was "one of the craziest viral moments i'd ever seen," CEO Sam Altman wrote on social media, the response to a new upgrade was, in his words, "biblical": 1 million users supposedly signed up to use the chatbot in just one hour, Altman reported, thanks to a new, more permissive image-generating capability that could imitate the styles of various art and design studios. Altman called it "a new high-water mark for us in allowing creative freedom." Almost immediately, images began to flood the internet. The most popular style, by a long shot, was that of Studio Ghibli, the Japanese animation studio co-founded by Hayao Miyazaki and widely beloved for films such as Spirited Away and Princess Mononoke.

Despite all beliefs to the contrary, the billionaires who have been seen in President Donald Trump's orbit since he won the presidency for a second time last November are not mere sycophants to his regime. Former Washington Post political cartoonist Ann Telnaes should know. Last month, Telnaes quit her job after her editor refused to publish what turned out to be her last cartoon for the newspaper. In it, Telnaes drew Amazon and Washington Post owner Jeff Bezos, Los Angeles Times owner Patrick Soon-Shiong, OpenAI billionaire Sam Altman, Meta's Mark Zuckerberg, and Mickey Mouse (representing media giant Disney/American Broadcasting Company) either kneeling or bowing face down in front of a statue of the president. In explaining her decision to resign from the Post, Telnaes wrote, "Owners of such press organizations are responsible for safeguarding that free press – and trying to get in the good graces of an autocrat-in-waiting will only result in undermining that free press."

Humanity faces numerous problems of common-pool resource appropriation. This class of multi-agent social dilemma includes the problems of ensuring sustainable use of fresh water, common fisheries, grazing pastures, and irrigation systems. Abstract models of common-pool resource appropriation based on non-cooperative game theory predict that self-interested agents will generally fail to find socially positive equilibria--a phenomenon called the tragedy of the commons. However, in reality, human societies are sometimes able to discover and implement stable cooperative solutions. Decades of behavioral game theory research have sought to uncover aspects of human behavior that make this possible.

The capability of large language models (LLMs) to generate, debug, and explain code has sparked the interest of researchers and educators in undergraduate programming, with many anticipating their transformative potential in programming education. However, decisions about why and how to use LLMs in programming education may involve more than just the assessment of an LLM's technical capabilities. Using the social shaping of technology theory as a guiding framework, our study explores how students' social perceptions influence their own LLM usage. We then examine the correlation of self-reported LLM usage with students' self-efficacy and midterm performances in an undergraduate programming course. Triangulating data from an anonymous end-of-course student survey (n = 158), a mid-course self-efficacy survey (n=158), student interviews (n = 10), self-reported LLM usage on homework, and midterm performances, we discovered that students' use of LLMs was associated with their expectations for their future careers and their perceptions of peer usage. Additionally, early self-reported LLM usage in our context correlated with lower self-efficacy and lower midterm scores, while students' perceived over-reliance on LLMs, rather than their usage itself, correlated with decreased self-efficacy later in the course.

Frank Kendall, the secretary of the Air Force, told the U.S. Senate Committee on Appropriations he will get to fly in an AI-flown plane later this year. Air Force Secretary Frank Kendall told members of the U.S. Senate on Tuesday that he plans to ride in the cockpit of an aircraft operated by artificial intelligence to experience the technology of the military branch's future fleet. Kendall spoke before the U.S. Senate Appropriations Committee's defense panel on Tuesday, where he spoke about the future of air warfare being dependent on autonomously operated drones. In fact, the Air Force secretary is pushing to get over 1,000 of the AI-operated drones and plans to let one of them take him into the air later this spring. The aircraft he plans to board will be an F-16 which was converted for drone flight.

Ukraine changed its military leadership and announced a change of tactics in the past week, as a vote in the US Senate brought renewed hope of US aid for the embattled country. Ukrainian President Volodymyr Zelenskyy appointed ground forces commander Oleksandr Syrskii as commander-in-chief of the armed forces on February 8. Zelenskyy reportedly asked the outgoing Valery Zaluzhny to "continue to be part of the team", without specifying what that meant. "We stood against a vile and powerful enemy. Endured together," wrote Zaluzhny, an immensely popular general who stopped Russia's invasion in February 2022 and ordered a counterattack in August that year, which claimed more than 1,500sq km (580sq miles) Since then, Ukrainian forces have become bogged down in positional warfare. A counteroffensive last summer failed to achieve its goal of cutting the Russian front in two.

I am here to tell you the sad but true story of the demise of the sharing economy. Remember how we were told, back in the 1990s and 2000s, that we were contributing to the creation of the largest commons known to humanity? Well, to paraphrase The Lord of the Rings, we were all of us deceived, for another ring was made. Artificial intelligence (AI) is making that clearer than ever. The free data we generated by spending thousands of hours on Big Tech's platforms has been appropriated and converted into training data for AI models.

Jean-Luc Godard once claimed, regarding cinema, "When I die, it will be the end." Godard passed away last month; film perseveres. Yet artificial intelligence has raised a kindred specter: that humans may go obsolete long before their artistic mediums do. Novels scribed by GPT-3; art conjured by DALL·E--machines could be making art long after people are gone. As deepfakes evolve, fears are mounting that future films, TV shows, and commercials may not need them at all.