Data Driven Classroom Interviews (DDCIs) are an interviewing technique that is facilitated by recent technological developments in the learning analytics community. DDCIs are short, targeted interviews that allow researchers to contextualize students' interactions with a digital learning environment (e.g., intelligent tutoring systems or educational games) while minimizing the amount of time that the researcher interrupts that learning experience, and focusing researcher time on the events they most want to focus on DDCIs are facilitated by a research tool called the Quick Red Fox (QRF)--an open-source server-client Android app that optimizes researcher time by directing interviewers to users that have just displayed an interesting behavior (previously defined by the research team). QRF integrates with existing student modeling technologies (e.g., behavior-sensing, affect-sensing, detection of self-regulated learning) to alert researchers to key moments in a learner's experience. This manual documents the tech while providing training on the processes involved in developing triggers and interview techniques; it also suggests methods of analyses.

On this episode of, guest Brian Merchant walks us through a historical framework he used to analyze whether AI fits the classic signs of an economic bubble--and what that means for all of us. Chatter about an AI bubble has been everywhere lately, and top tech companies like Google, Meta, and Microsoft have doubled down on their AI investments for 2026. But how have analysts in the past accurately identified forming tech bubbles? Hosts Michael Calore and Lauren Goode sit down with Brian Merchant, WIRED contributor and author of the newsletter to break down the four criteria some researchers have used in the past to understand and brace for the worst. Please help us improve by filling out our listener survey . Write to us at uncannyvalley@wired.com . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . Hey Lauren, how are you doing? It's earnings season, so a lot of us on the business desk here at WIRED have been tuning into tech companies earnings reports and their earnings calls. And I guess that basically means it's CapEx season. Now that I'm a business desk reporter, I say CapEx. I throw it around at parties. But we are seeing a trend in how tech companies are sleeping on piles of money, but they aren't just sleeping on it. They're sharing big plans to spend on it, and especially to spend on AI infrastructure. And this is all partly what is fueling all of this talk about a bubble, which we touched on a little bit a couple of weeks ago with our colleague Molly Taft.

In this conversation, Helen Warrell, FT investigations reporter and former defense and security editor, and James O'Donnell, MIT Technology Review's senior AI reporter, consider the ethical quandaries and financial incentives around AI's use by the military. Welcome back to, a new collaboration between the Financial Times and MIT Technology Review. In this conversation, Helen Warrell, investigations reporter and former defense and security editor, and James O'Donnell, 's senior AI reporter, consider the ethical quandaries and financial incentives around AI's use by the military. It is July 2027, and China is on the brink of invading Taiwan. Autonomous drones with AI targeting capabilities are primed to overpower the island's air defenses as a series of crippling AI-generated cyberattacks cut off energy supplies and key communications. In the meantime, a vast disinformation campaign enacted by an AI-powered pro-Chinese meme farm spreads across global social media, deadening the outcry at Beijing's act of aggression.

As OpenAI expands in every direction, the new CEO of Applications is on a mission to make ChatGPT indispensable and lucrative. In case OpenAI's structure couldn't get any weirder--a nonprofit in charge of a for-profit that's become a public benefit corporation--it now has two CEOs. There's Sam Altman, chief executive of the whole company, who manages research and compute. And as of this summer, there's Fidji Simo, the former CEO of Instacart, who manages everything else. Simo hasn't been seen much at OpenAI's San Francisco office since she began as CEO of Applications in August. But her presence is felt at every level of the company--not least because she's heading up ChatGPT and basically every function that might make OpenAI money. Simo is dealing with a relapse of postural orthostatic tachycardia syndrome (POTS) that makes her prone to fainting if she stands for long periods of time. "Being present from 8 am to midnight every day, responding within five minutes, people feel like I'm there and that they can reach me immediately, that I jump on the phone within five minutes," she tells me. Employees confirm that this is true. OpenAI's famously Slack-driven culture can be overwhelming for new hires. Employees say she is often seen popping into channels and threads, sharing thoughts and asking questions.

Newsrooms and journalists across the world are adopting Generative AI (GenAI). Drawing on in-depth interviews with 23 journalists, this study identifies Bangladeshi journalists' awareness, acceptance, usage patterns, and their media organizations' stance toward GenAI. This study finds Bangladeshi journalists' high reliance on GenAI like their Western colleagues despite limited institutional support and the near absence of AI policy. Despite this contrast, concerns over GenAI's implications in journalism between the West and non-West were mostly identical. Moreover, this study contributes to the Unified Theory of Acceptance and Use of Technology (UTAUT) by proposing two changes regarding GenAI adoption among journalists in non-Western settings. First, this study identifies the non-contribution of facilitating conditions in shaping behavioral intent in GenAI adoption in non-Western contexts. Second, social influence works in a horizontal order through informal peer pressure or professional motivation in the absence of formal institutional hierarchical pressure. Voluntariness in the context of Bangladeshi journalists is underpinned by their professional compulsion. Therefore, this study contributes to understanding how contextual factors shape technology adoption trajectories in non-Western journalism.

US shutdown ends: What happens next? New Epstein emails: What do they say about Trump? Last month, tech billionaire Elon Musk launched Grokipedia, an AI-powered platform, to rival online encyclopedia Wikipedia. "Grokipedia will exceed Wikipedia by several orders of magnitude in breadth, depth and accuracy," Musk posted on X the day after his site went live on October 27. Grokipedia will exceed Wikipedia by several orders of magnitude in breadth, depth and accuracy https://t.co/Nt4M6vqEZu

Hollywood's SAG Awards announces it will change its name The Screen Actors Guild Awards, the marquee awards ceremony honouring actors, is getting a new name. Known colloquially as the SAG Awards, the awards show will now be dubbed the Actor Awards presented by Sag-Aftra, the labour union representing US film, television and radio actors. Since the beginning, our statue has been called'The Actor' and we're a show that's entirely about actors, so this new name is a perfect next step in the show's evolution, the show's executive producer said on Friday. The rebrand comes ahead of the 32nd edition of the star-studded ceremony, which is set for 1 March 2026. The award show's executive producer Jon Brockett told the BBC that the name change - which was announced at a board meeting on Friday - gives viewers in more than 190 countries an immediate understanding of who we are and what we're about - a show about actors honouring actors.

Bitcoin ransom wallet shows first'activity' after doorbell footage revealed in Nancy Guthrie case Nancy Guthrie's family say they do NOT recognize masked figure filmed night of abduction as investigators are seen searching bushes near daughter and son-in-law's home Nancy Guthrie's son-in-law disappears from public view as quirk in the law could mean his home is being searched without consent Look at Nancy Guthrie masked suspect's escape routes: Crime analyst MORGAN WRIGHT reveals terrifying new details about where she was taken Terrifying masked figure in latex gloves with gun seen on Nancy Guthrie's doorstep on morning of her kidnap Coastal paradise is now ground zero for housing bloodbath... and America faces a reckoning'Despicable' heiress, 58, whose mogul dad named VINEYARD after her broke his heart with outrageous claim... as new details of mortifying family feud are laid bare Britney Spears sells off her iconic music catalog in'landmark deal'... after fresh attack on her family Alabama woman learns fate after pushing woman to her death off CLIFF, with cops saying pair'knew each other through boyfriend' Canada PM Carney ridicules Trump with brutal taunt after president's border bridge threat Bill Gates' awful behavior towards Melinda at dinner party revealed by socialite friend, as she spills secrets of their marriage Fraser Bohm wins big in Pepperdine murder trial as judge orders prosecutors to hand over phone he refused to unlock... despite fears he could tamper with it Tiger Woods' son Charlie, 17, makes college commitment in huge next step... but snubs his dad's old team! Winter Olympics star who admitted to cheating on his girlfriend says he has not heard from her since his on-air confession and shares hope for'happy ending' Kurt Cobain's death was'homicide': Shocking new forensic investigation questions suicide ruling Bombshell secret that could DESTROY Turning Point USA: As Erika Kirk misses halftime show... whistleblowers tell all to KENNEDY Your soda habit may raise the risk of stroke... after study finds even'healthy' sugar substitute causes brain damage'Hot girls have started using AI': Influencers are turning to chatbots to add cute animals to their photos - but fans can't decide if it's cool or scary From the 90s yearbook trend to the action figure trend, several social media crazes have made use of articifical intelligence ( AI). Now, 'hot girl' influencers are jumping on the AI bandwagon. Several social media stars have started using chatbots to add cute animals to their photos, ranging from fluffy bunnies to huge horses. X user @jameygannon pointed out the trend in a now-viral post, which has been viewed over 14 million times.

Understanding human attitudes, preferences, and behaviors through social surveys is essential for academic research and policymaking. Y et traditional surveys face persistent challenges, including fixed-question formats, high costs, limited adaptability, and difficulties ensuring cross-cultural equivalence. While recent studies explore large language models (LLMs) to simulate survey responses, most are limited to structured questions, overlook the entire survey process, and risks under-representing marginalized groups due to training data biases. We introduce AlignSurvey, the first benchmark that systematically replicates and evaluates the full social survey pipeline using LLMs. It defines four tasks aligned with key survey stages: social role modeling, semi-structured interview modeling, attitude stance modeling and survey response modeling. It also provides task-specific evaluation metrics to assess alignment fidelity, consistency, and fairness at both individual and group levels, with a focus on demographic diversity. To support AlignSurvey, we construct a multi-tiered dataset architecture: (i) the Social Foundation Corpus, a cross-national resource with 44K+ interview dialogues and 400K+ structured survey records; and (ii) a suite of Entire-Pipeline Survey Datasets, including the expert-annotated AlignSurvey-Expert (ASE) and two nationally representative surveys for cross-cultural evaluation. We release the SurveyLM family, obtained through two-stage fine-tuning of open-source LLMs, and offer reference models for evaluating domain-specific alignment. All datasets, models, and tools are available at github and huggingface to support transparent and socially responsible research.

Common knowledge is crucial for safe group coordination. In its absence, humans must rely on shared knowledge, which is inherently limited in depth and therefore prone to coordination failures, because any finite-order knowledge attribution allows for an even higher order attribution that may change what is known by whom. In three separate experiments involving 802 participants, we investigate the extent to which humans can differentiate between common knowledge and nth-order shared knowledge. We designed a two-person coordination game with imperfect information to simplify the recursive game structure and higher-order uncertainties into a relatable everyday scenario. In this game, coordination for the highest payoff requires a specific fact to be common knowledge between players. However, this fact cannot become common knowledge in the game. The fact can at most be nth-order shared knowledge for some n. Our findings reveal that even at quite shallow depths of shared knowledge (low values of n), players behave as though they possess common knowledge, and claim similar levels of certainty in their actions, despite incurring significant penalties when falsely assuming guaranteed coordination. We term this phenomenon 'the curse of shared knowledge'. It arises either from the players' inability to distinguish between higher-order shared knowledge and common knowledge, or from their implicit assumption that their co-player cannot make this distinction.