The capacity to achieve out-of-distribution (OOD) generalization is a hallmark of human intelligence and yet remains out of reach for machines. This remarkable capability has been attributed to our abilities to make conceptual abstraction and analogy, and to a mechanism known as indirection, which binds two representations and uses one representation to refer to the other. Inspired by these mechanisms, we hypothesize that OOD generalization may be achieved by performing analogymaking and indirection in the functional space instead of the data space as in current methods. To realize this, we design FINE (Functional Indirection Neural Estimator), a neural framework that learns to compose functions that map data input to output on-the-fly. FINE consists of a backbone network and a trainable semantic memory of basis weight matrices.

This paper explores the integration of visual communication and musical interaction by implementing a robotic camera within a "Guided Harmony" musical game. We aim to examine co-creative behaviors between human musicians and robotic systems. Our research explores existing methodologies like improvisational game pieces and extends these concepts to include robotic participation using a PTZ camera. The robotic system interprets and responds to nonverbal cues from musicians, creating a collaborative and adaptive musical experience. This initial case study underscores the importance of intuitive visual communication channels. We also propose future research directions, including parameters for refining the visual cue toolkit and data collection methods to understand human-machine co-creativity further. Our findings contribute to the broader understanding of machine intelligence in augmenting human creativity, particularly in musical settings.

Anyone who's ever stared in desperation at a paint colour chart will know that telling shades apart is not always the easiest task. Due to our biological differences, some people seem to have no trouble separating the subtlest of tones, while others find it tricky to find a matching pair of socks. If you've ever wondered where you fall on this colour spectrum, a new test will reveal how you stack up against your peers. So, what's your colour IQ? Take the test at this link to find out. The test, created by X-rite Pantone, is a simplified version of something called the Farnsworth Munsell 100 Hue Test which was developed in the 1940s by a scientist called Dean Farnsworth.

The world's shortest IQ test not only reveals your intelligence but also your level of patience. The test, called a Cognitive Reflection Test (CRT), consists of three math-based questions that target a person's ability to ignore their initial gut response in favor of a more rational thought process. Many quickly assume the answers are simple, but the Yale University professor who created the exam warned it isn't as straightforward as it may seem. Professor Shane Frederick created the CRT in 2005 and only 20 to 40 percent of students who have attempted it have passed. A Yale University professor designed a Cognitive Reflection Test ( CRT) that consists of three math-based questions that target a person's ability to ignore their initial gut response in favor of a more rational thought process Mathematical brain teasers are useful in helping people develop logical thinking by promoting brain stimulation and build visual and spatial reasoning skills.

The idea that superintelligent robots are alien invaders coming to "steal our jobs" reveals profound shortcomings in the way we think about work, value, and intelligence itself. Labor is not a zero-sum game, and robots aren't an "other" that competes with us. Like any technology, they're part of us, growing out of civilization the same way hair and nails grow out of a living body. When we "other" a fruit-picking robot – thinking of it as a competitor in a zero-sum game – we take our eyes off the real problem: the human who used to pick the fruit is considered disposable by the farm's owners and by society when no longer fit for that job. This implies that the human laborer was already being treated like a non-person – that is, like a machine.

The world's biggest record labels are suing two artificial intelligence startups, taking an aggressive stance to protect their intellectual property against technology that makes it easy for people to generate music based on existing songs. The Recording Industry Association of America said it filed twin lawsuits Monday against Suno AI and Uncharted Labs Inc., the developer of Udio AI, on behalf of Universal Music Group NV, Warner Music Group Corp. and Sony Music Entertainment. The RIAA, a trade group for record labels, is seeking damages of as much as 150,000 "per work infringed." That could amount to potentially billions of dollars. "The music community has embraced AI, and we are already partnering and collaborating with responsible developers to build sustainable AI tools centered on human creativity that put artists and songwriters in charge," Mitch Glazier, chief executive officer of the RIAA, said in a statement.

Over the last ten years, the realm of Artificial Intelligence (AI) has experienced an explosion of revolutionary breakthroughs, transforming what seemed like a far-off dream into a reality that is now deeply embedded in our everyday lives. AI's widespread impact is revolutionizing virtually all aspects of human life, and software engineering (SE) is no exception. As we explore this changing landscape, we are faced with questions about what the future holds for SE and how AI will reshape the roles, duties, and methodologies within the field. The introduction of these groundbreaking technologies highlights the inevitable shift towards a new paradigm, suggesting a future where AI's capabilities may redefine the boundaries of SE, potentially even more than human input. In this paper, we aim at outlining the key elements that, based on our expertise, are vital for the smooth integration of AI into SE, all while preserving the intrinsic human creativity that has been the driving force behind the field. First, we provide a brief description of SE and AI evolution. Afterward, we delve into the intricate interplay between AI-driven automation and human innovation, exploring how these two components can work together to advance SE practices to new methods and standards.

The evolution of artificial intelligence (AI) has profoundly impacted human society, driving significant advancements in multiple sectors. Yet, the escalating demands on AI have highlighted the limitations of AI's current offerings, catalyzing a movement towards Artificial General Intelligence (AGI). AGI, distinguished by its ability to execute diverse real-world tasks with efficiency and effectiveness comparable to human intelligence, reflects a paramount milestone in AI evolution. While existing works have summarized specific recent advancements of AI, they lack a comprehensive discussion of AGI's definitions, goals, and developmental trajectories. Different from existing survey papers, this paper delves into the pivotal questions of our proximity to AGI and the strategies necessary for its realization through extensive surveys, discussions, and original perspectives. We start by articulating the requisite capability frameworks for AGI, integrating the internal, interface, and system dimensions. As the realization of AGI requires more advanced capabilities and adherence to stringent constraints, we further discuss necessary AGI alignment technologies to harmonize these factors. Notably, we emphasize the importance of approaching AGI responsibly by first defining the key levels of AGI progression, followed by the evaluation framework that situates the status-quo, and finally giving our roadmap of how to reach the pinnacle of AGI. Moreover, to give tangible insights into the ubiquitous impact of the integration of AI, we outline existing challenges and potential pathways toward AGI in multiple domains. In sum, serving as a pioneering exploration into the current state and future trajectory of AGI, this paper aims to foster a collective comprehension and catalyze broader public discussions among researchers and practitioners on AGI.

Apple has apologized for its Crush! AdAge reports Apple said the video "missed the mark," and it has scrapped plans to run the commercial on TV. The video shows a series of musical instruments and other tools for human expression, including a guitar, drums, trumpet, amplifiers, record player, TV and much more being crushed to "All I Ever Need Is You" by Sonny and Cher. The crusher pulls up to reveal an iPad. Tonally, you could see how it could be misconstrued.