Some commentators say investors are paying too much for technology stocks because of misplaced expectations about AI developments. Some commentators say investors are paying too much for technology stocks because of misplaced expectations about AI developments. Some experts have voiced fears a tech meltdown could hit our savings and pensions - here's how to protect yourself T he new year has started as 2025 ended - with share prices booming amid warnings from some that the growth is being driven by overvalued technology stocks. Fears of an "AI bubble" have been voiced by people from the governor of the Bank of England to the head of Google's parent company, Alphabet . Even if you have not actively invested in technology shares, the chances are you have some exposure to companies operating in the sphere.

The advent of artificial intelligence has propelled AI-Generated Game Commentary (AI-GGC) into a rapidly expanding field, offering benefits such as unlimited availability and personalized narration. However, current researches in this area remain fragmented, and a comprehensive survey that systematically unifies existing efforts is still missing. To bridge this gap, our survey introduces a unified framework that systematically organizes the AI-GGC landscape. We present a novel taxonomy focused on three core commentator capabilities: Live Observation, Strategic Analysis, and Historical Recall. Commentary is further categorized into three functional types: Descriptive, Analytical, and Background. Building on this structure, we provide an in-depth review of state-of-the-art methods, datasets, and evaluation metrics across various game genres. Finally, we highlight key challenges such as real-time reasoning, multimodal integration, and evaluation bottlenecks, and outline promising directions for future research and system development in AI-GGC.

The Twitch streamer could pivot from influencer to candidate. But he tells WIRED's podcast he'd rather use his platform to tell Dems "you can't podcast your way out of this problem." Hasan Piker is many things to many people. They don't all feel the same way about Piker or his politics, but most presumably agree on one thing: He is a relentless human being. Most days a week, you can find the 34-year-old Twitch streamer talking to his audience, often for six to nine hours at a stretch. And during President Trump's second term, there's plenty of that to go around. He has nearly 3 million followers on Twitch and has hosted conversations with Senator Bernie Sanders and US representative Alexandria Ocasio-Cortez. He claims his election night stream in 2024 reached a staggering 7.5 million viewers. On this episode of, I talked to Piker about his looks, his love of Italian sandwiches, and any future political aspirations he might (or might not) want to tease. It's great to be here. I heard you were just at the gym. Yeah, I was at the park. Some days I take my dog and I play a little bit of basketball and get to hang out with some people.

This paper investigates the complex interplay between AI developers, regulators, users, and the media in fostering trustworthy AI systems. Using evolutionary game theory and large language models (LLMs), we model the strategic interactions among these actors under different regulatory regimes. The research explores two key mechanisms for achieving responsible governance, safe AI development and adoption of safe AI: incentivising effective regulation through media reporting, and conditioning user trust on commentariats' recommendation. The findings highlight the crucial role of the media in providing information to users, potentially acting as a form of "soft" regulation by investigating developers or regulators, as a substitute to institutional AI regulation (which is still absent in many regions). Both game-theoretic analysis and LLM-based simulations reveal conditions under which effective regulation and trustworthy AI development emerge, emphasising the importance of considering the influence of different regulatory regimes from an evolutionary game-theoretic perspective. The study concludes that effective governance requires managing incentives and costs for high quality commentaries.

This paper proposes dialogue as a method for evaluating generative AI tools for culturally-situated creative practice, that recognizes the socially situated nature of art. Drawing on sociologist Howard Becker's concept of Art Worlds, this method expands the scope of traditional AI and creativity evaluations beyond benchmarks, user studies with crowd-workers, or focus groups conducted with artists. Our method involves two mutually informed dialogues: 1) 'dialogues with art worlds' placing artists in conversation with experts such as art historians, curators, and archivists, and 2)'dialogues with the machine,' facilitated through structured artist- and critic-led experimentation with state-of-the-art generative AI tools. We demonstrate the value of this method through a case study with artists and experts steeped in non-western art worlds, specifically the Persian Gulf. We trace how these dialogues help create culturally rich and situated forms of evaluation for representational possibilities of generative AI that mimic the reception of generative artwork in the broader art ecosystem. Putting artists in conversation with commentators also allow artists to shift their use of the tools to respond to their cultural and creative context. Our study can provide generative AI researchers an understanding of the complex dynamics of technology, human creativity and the socio-politics of art worlds, to build more inclusive machines for diverse art worlds.

Whoopi Goldberg and'View' guest Charlamagne Tha God argued over President Biden's pardon of Hunter and whether he was a liar. "The View" co-host Ana Navarro admitted that she relied on information given by ChatGPT after she was mocked for sharing false information about presidential pardons in her defense of President Biden. Biden came under fire this week for issuing a sweeping pardon to his son Hunter Biden on Sunday after repeatedly insisting he would not do so. Navarro, who identifies as a Republican but is an ardent supporter of Democrats who reliably offers liberal commentary on "The View" and on CNN, came out swinging against Biden's critics. She wrote on X, "Woodrow Wilson pardoned his brother-in-law, Hunter deButts. Bill Clinton pardoned his brother, Roger. Donald Trump pardoned his daughter's father-in-law, Charlie Kushner. And just appointed him Ambassador to France. But tell me again how Joe Biden'is setting precedent'?" Navarro's bizarre claim about Woodrow Wilson's pardon of a fictional brother-in-law named "Hunter deButts" instantly raised eyebrows.

Amazon is investing substantial artificial intelligence computing power into its NFL Thursday Night Football broadcasts. According to a September 10 announcement, Tackle Probability is a new machine learning model that analyzes, interprets, and possibly predicts impending defensive blitzes against quarterbacks. Debuting during the Prime Video livestream of the Miami Dolphins vs. Buffalo Bills game on September 12, Tackle Probability's results can be used by both real-time commentators, as well as provide "new ways of visualizing the action on the field." As GeekWire explained on Tuesday, this will include on-screen highlighting of the defensive players most likely to attempt tackles. "Until now, tackling statistics were limited to simple counts of solo and assisted tackles," Amazon Web Services (AWS) said in a statement.

Apple fans are revelling in one of their favourite occasions of the year – the announcement of a new iPhone. The iPhone 16 unveiled last night features new AI capabilities, camera upgrades plus a boost in battery life, available in a range of colours. But it is surely the arrival of a brand new button on the edge of the device that is getting people most excited. The capture button needs to be pressed once to bring up the camera app to take photos and even delivers haptic feedback, much like a video game controller. Commentators have called the nifty selfie shortcut'incredible' and the'coolest feature ever', but other fans are sharing concerns that it won't work with a case.

Some commentators are convinced these training data claims are sure winnersb; others are equally sure the use of works to train foundation models is fair use, especially if the datasets consist of digital copies of works found on the open Internet.c It may be years before courts decide these and other claims in these lawsuits. Virtually all complaints ask for awards of actual damages and disgorgement of profits attributable to infringement, prejudgment interest, attorney fees, and costs. Most ask for injunctive relief and any other remedy the court may deem just. In these respects, the complaints are quite ordinary. But three types of remedy claims merit special attention: claims for awards of statutory damages; court orders to destroy models trained on infringing works; and most bizarrely, court orders to establish a regulatory regime to oversee generative AI system operations.

In November 2022, OpenAI launched ChatGPT. Within five days, it had over a million users. Six months later, the CEOs of the world's leading AI companies, and hundreds of researchers and experts, signed a short statement warning that mitigating the risk of extinction from AI should be a global priority on the scale of preventing nuclear war. AI's rapid technological progress and the dire warnings from its creators provoked a reaction in capitals around the world. But as lawmakers and regulators rushed to write the rules charting AI's future, many warned their efforts were insufficient to mitigate the risks from, and capitalize on the benefits of AI.