This paper aims to explore fundamental questions in the era when AI coding assistants like GitHub Copilot are widely adopted: what do developers truly value and criticize in AI coding assistants, and what does this reveal about their needs and expectations in real-world software development? Unlike previous studies that conduct observational research in controlled and simulated environments, we analyze extensive, first-hand user reviews of AI coding assistants, which capture developers' authentic perspectives and experiences drawn directly from their actual day-to-day work contexts. We identify 1,085 AI coding assistants from the Visual Studio Code Marketplace. Although they only account for 1.64% of all extensions, we observe a surge in these assistants: over 90% of them are released within the past two years. We then manually analyze the user reviews sampled from 32 AI coding assistants that have sufficient installations and reviews to construct a comprehensive taxonomy of user concerns and feedback about these assistants. We manually annotate each review's attitude when mentioning certain aspects of coding assistants, yielding nuanced insights into user satisfaction and dissatisfaction regarding specific features, concerns, and overall tool performance. Built on top of the findings-including how users demand not just intelligent suggestions but also context-aware, customizable, and resource-efficient interactions-we propose five practical implications and suggestions to guide the enhancement of AI coding assistants that satisfy user needs.

Large-scale text-to-image models, looking at you Stable Diffusion, have dominated the machine learning space in recent months. They have shown extraordinary generation performance in different settings and provided us with visuals that we never thought were possible before. Text-to-image generation models try to generate realistic images with an input text prompt describing what they should look like. For example, if you ask it to generate "Homer Simpson Walking on the Moon," you would probably get a pleasant-looking image with mostly correct details. This huge success of generation models in recent years is mainly thanks to the large-scale datasets and models used.

AI World School (AIWS) is launching its remote self-learning platform providing AI and Coding technology education to students from ages 7 to 18. AIWS announces the global launch of its self-paced online learning platform providing AI learning experiences to students at home, to homeschoolers and in K12 schools. The world is changing faster than ever amid these testing times of COVID. Children safety is paramount more than ever, and they need to face these challenges and navigate them successfully in the future. To combat this, AIWS believes that innovation, creativity & STEM skills will be essential to prepare one's' child to become future-ready. AI & Coding provides a competitive advantage when applying to colleges, internships, and for career opportunities.

In case anyone missed it: attention on AI's application to healthcare is apparently at'peak hype'. With the volume of healthcare data doubling every 2 to 5 years, it is no surprise that many are using AI to make sense of such vast amounts of data, and development of medical AI technologies is progressing rapidly. At the same time, the COVID-19 pandemic has exposed vulnerabilities in healthcare systems around the world, highlighting the need for technological interventions in healthcare. In line with these trends, the healthcare AI market is expected to grow from US$2 billion in 2018 to US$36 billion by 2025. The breadth of AI's application in healthcare is impressive, ranging from diagnostic chat bots to AI robot-assisted surgery.

Video: Is regulating AI a bad idea? Entrepreneur Elon Musk has long held the position that innovators need to be aware of the social risk artificial intelligence (AI) presents to the future, but at South by Southwest (SXSW) on Sunday, the SpaceX founder pieced together his plan for the second coming of the Dark Ages, noting AI "scares the hell" out of him. Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of them. Making an appearance on a couch with his friend, creator of science fiction western series Westworld Jonathan Nolan, Musk said that although he's not usually an advocate for regulation and oversight, the AI proposition is where he can make an exception.