Breaking AI & Tech News Analyzed

The Artemis II crew has made contact from space, marking a crucial step in their mission. While details of the communication are scarce, the achievement underscores the progress of NASA's Artemis program aimed at returning humans to the Moon.The crew's ability to establish communication from space highlights the advancements in space technology and the resilience of the spacecraft's systems. This development is a positive indicator for the mission's overall success and future endeavors in space exploration.

The world of Major League Baseball has witnessed a significant transformation in pitching, with velocity and accuracy reaching unprecedented levels. This arms race is largely attributed to advances in pitching analytics, often developed by individuals without a traditional baseball background.Rob Friedman, known as PitchingNinja online, has authored a new book titled 'Unhittable: How Technology, Mavericks and Innovators Engineered Baseball's New Era of Pitching Dominance.' The book explores how technology and data analysis have revolutionized the art of pitching.In the past, pitchers like Bob Feller were renowned for their speed, but today's pitchers routinely exceed triple digits on the radar gun. Friedman notes that technology brings out the best in everybody, allowing pitchers to refine their skills and achieve remarkable results.The use of heat maps, slow-motion cameras, and AI has become commonplace in analyzing pitching performance. These tools help quantify not just velocity but also accuracy, enabling pitchers to deliver the ball to the plate with precision.Paul Skenes of the Pittsburgh Pirates, last year's National League Cy Young winner, and Nolan McLean of the New York Mets are examples of pitchers benefiting from analytics. Friedman praises McLean's exceptional skills, describing his stuff as 'absolutely nasty.'The debate surrounding pitcher-friendly conditions continues, with some arguing that the game has become too favorable to pitchers. Friedman counters that pitchers are on offense, and their performance is a reaction to the hitter's actions.Injuries to pitchers are on the rise, and while there is no consensus on the cause, Friedman suggests that excessive velocity may contribute to the problem. He cites Trevor Bauer as an example of a pitcher who successfully adopted analytics and training methods to enhance his performance.The intersection of analytics and tradition remains a contentious issue, with some players and coaches skeptical of data-driven approaches. Friedman advocates for a bridge between both sides, emphasizing that analytics provide valuable information to inform pitching decisions.

OpenAI, the parent company of ChatGPT, has made a significant move into the media business by acquiring TBPN, a technology-focused talkshow closely watched by Silicon Valley insiders. The show, hosted by John Coogan and Jordi Hays, broadcasts live for three hours every weekday from Los Angeles, featuring guests such as founders, venture capitalists, and major figures in the technology world. The acquisition is part of OpenAI's efforts to engage more authentically with the public at a pivotal moment for artificial intelligence. Fidji Simo, OpenAI's chief of strategy, stated that the company aims to create a space for real, constructive conversation about the changes AI creates. She emphasized that TBPN will continue to run its programming, choose its guests, and make its own editorial decisions, ensuring its credibility is maintained. TBPN is known for its unique ritual where guests announce their latest fundraising haul, accompanied by the hosts banging a gong. The show is broadcast on X, YouTube, and Spotify, and will continue to air daily at its regular time. Coogan expressed his excitement about the acquisition, calling it a 'full circle moment' given his longstanding ties to OpenAI's chief executive, Sam Altman, who funded his first company in 2013. This strategic move comes on the heels of OpenAI closing a $122 billion funding round amid the AI boom, highlighting the company's growing influence and investment in the technology sector.

A writer decided to hand over his dating life to AI for six weeks, using it to write his dating profile and generate conversation prompts. He matched with a woman, A, who was fine with his experiment, and they arranged a daytime cinema trip. The AI advised him to wear a turtleneck, dark jeans, and boots or minimal trainers, and helped him craft messages, including "Morning! Still on for Marty Supreme? Are you more of a trailers-lover or a trailers-hater?". However, A ignored the question and simply confirmed she was coming. During the date, the writer used AI-generated lines, such as "That hair has pure A24 energy", which A found confusing. The AI also suggested complimenting her hair, which he did, but A seemed unimpressed. As the date progressed, A began to notice that the writer's messages sounded "emotionally intelligent, yet something's off about them". She eventually discovered that he was using AI to generate his lines and told him that if someone had sent those messages without her knowing about the experiment, she wouldn't have come on the date. The writer concluded that "AI is great at choosing date ideas. Relying on it for conversation, though, comes at a price of not trusting yourself – your own curiosity, ability to listen, and what you have to offer". He realized that the artificial confidence of AI-generated lines can make them worse than someone who is honestly nervous.

Forecasts indicate that the worldwide secondhand apparel sector will expand by 12% in 2024, reaching $289 bn (£217 bn), buoyed by artificial intelligence tools and social‑media influencers that help consumers locate desired items.Platforms such as Vinted, Depop, Vestige and ThredUp are expected to sustain an average 9% annual growth over the next five years, pushing the market to an estimated $393 bn—roughly double the growth rate of the broader clothing industry.The outlook stems from ThredUp’s latest resale report, which incorporates analysis from GlobalData. In 2021 the market was valued at just $141 bn, meaning the projected 2024 figure is more than double that baseline.Major brands—including Dr Martens, Zara and Mulberry—are now entering the resale space, either by offering pre‑owned pieces or refurbishing items to satisfy rising consumer demand."Resale is no longer merely expanding; it’s capturing direct market share," said James Reinhart, co‑founder and CEO of ThredUp. The report notes that resale now accounts for one‑tenth of global clothing sales, and that the U.S. secondhand market grew nearly four times faster than the overall market by 2025.ThredUp’s own revenue climbed 20% to $310.8 m last year. Depop reported a 42% increase to £101 m, while Vinted posted a 36% rise to €813.4 m (£710 m) in 2024. However, profitability remains elusive: ThredUp posted a $20 m pre‑tax loss, Depop a £42 m loss, and only Vinted turned a profit, earning €76.7 m. Depop was recently acquired by eBay from Etsy.Reinhart warned that rising inflation—spurred by geopolitical tensions that lift energy and fuel costs for manufacturers—could push more shoppers toward affordable secondhand options."The industry stays robust, driven by young consumers' behaviour," he added.Artificial intelligence is streamlining the massive inventories of resale platforms, enabling rapid cataloguing and matching of items to buyer preferences. "Netflix and Spotify spent decades building data and algorithms to recommend content; AI can achieve similar personalization for fashion almost instantly," Reinhart explained, noting that this reduces friction between spotting an item on social media and completing a purchase.Looking ahead, the market’s next phase will be defined by firms that can unlock supply and leverage AI to connect inventory with the next generation of shoppers, according to Reinhart.Analyst Neil Saunders of GlobalData highlighted that consumers aged 14‑45 (Gen Z and millennials) are projected to generate 70% of market growth. He emphasized that discovery tools must migrate to the social feeds where these shoppers spend their time, and that technology will be essential to simplify selling and maintain sufficient stock for expanding demand.

The rising cost of gaming consoles and components, such as the recent £90 price hike of the PlayStation 5, can be attributed to the growing demand for computing power driven by artificial intelligence (AI) data centers. This surge in demand has led to increased prices for RAM and storage, affecting not only console manufacturers like Sony but also PC gamers.AI data centers require massive amounts of computing power to present information, which has driven up the demand and pricing for critical components. The 30% rise in the cost of living over the past half-decade, coupled with Nvidia's market cap hitting £5 trillion, highlights the significant economic impact of AI investment.The situation is further complicated by global economic disruptions, including the wars in Ukraine and Iran, which have contributed to rampant inflation. The video game industry, including major players like Valve, Nintendo, and Sony, is feeling the strain. Valve has run out of Steam Decks, and Nintendo has raised the price of physical games by $10 in the US.Critics argue that the focus on AI is misguided and that it doesn't need to be this way. As Chris Person notes, "I'm tired of these useless jackasses making the computer expensive." The emphasis on AI over consumer needs has led to frustration among gamers, who feel that technology is being forced into everything, making desirable products prohibitively expensive.The article concludes that the issue isn't just about Sony's greed but an indication of a closed economic system in big tech, which prioritizes profits over consumer needs. This shift has resulted in consumers paying more for products like the PlayStation 5 so that a select few can benefit financially from AI advancements.

The author spent a month testing Meta's smartglasses, which feature an integrated AI assistant voiced by Judi Dench. The glasses can take photos, provide directions, and answer questions, but the author found them to be unreliable and frustrating to use.The glasses raise significant privacy concerns, with the author noting that they can be used for covert recording and that people may not be aware when they are being filmed. The author also experienced creepy feelings while wearing the glasses, particularly when they were used to record strangers without their consent.The author concludes that while smartglasses have the potential to be useful assistive technology for people with disabilities, they are not yet reliable or functional enough to be widely adopted. The author also notes that Meta's plans for facial recognition and data collection raise significant concerns about privacy and surveillance.Experts warn that smartglasses may become a flashpoint in a bigger, existential discussion about how much integration we want with technology, and that regulation is needed to protect bystanders' privacy. The author ultimately decides that the glasses are not worth the risks and drawbacks, and that people should think carefully before adopting this technology.

Recent commentary on the Iran school bombing rightly challenges the knee‑jerk tendency to blame artificial intelligence for the tragedy. The deeper issue, however, lies in the emerging linguistic habit of labeling incidents as "AI errors," which subtly removes the human actors from the narrative.When responsibility is shifted from people to systems, moral accountability becomes vague. Human designers, authorisers and operators remain the decision‑makers, even if the technology automates the final act. Concealing this fact is not a technical flaw; it is a civic failure that hampers accountability.Beyond accelerating warfare, AI is fostering a subtler shift: using automation as an alibi. If public discourse cannot pinpoint who acted, the public cannot hold anyone to account.Critics also note that the language used to describe rogue AI agents—terms like “connived,” “lied,” or “cheated”—anthropomorphises machines and further obscures responsibility. As Dr. Felicity Mellor of Imperial College London observes, such phrasing assigns moral agency to large language models instead of the people who deploy them.Consider a hypothetical where a company releases high‑speed vehicles without functional brakes. We would not say the cars "connived" to cause accidents; we would blame the company’s reckless leadership. Similarly, if uncontrolled AI ever harms civilians, we must be able to hold technology firms and the governments that endorse them accountable, which requires clear attribution of moral agency in our language.Anthony LawtonMarket Harborough, LeicestershireDr. Felicity MellorDirector, Science Communication Unit, Imperial College London

Palantir’s claim that opposition to its NHS contract is driven by ideology was rebuked by Chi Onwurah, the Labour MP who chairs Parliament’s science, innovation and technology select committee. Onwurah said it is appropriate for ministers to explore a break‑clause option in the deal, underscoring the seriousness of the concerns raised. Louis Mosley, Palantir’s UK executive vice‑chair, had urged the government not to succumb to “ideologically motivated campaigners” as officials weighed a way out of a £330 million contract to deliver the Federated Data Platform (FDP) for NHS England. Ministers have now asked for advice on triggering the contract’s break clause amid growing scrutiny of Palantir’s expanding role in the public sector. The FDP is an AI‑enabled platform designed to integrate disparate health information across the NHS. Palantir already holds contracts with the Ministry of Defence, several police forces and the UK’s financial watchdog, the FCA. Onwurah’s cross‑party committee is set to publish its report in the coming weeks, covering the digital reorganisation of government services and the role of AI after a series of hearings that included experts, NHS leaders and representatives from companies such as Palantir. She identified three core issues: the manner in which the contract was awarded, the handling of patient data and the resulting trust deficit within the NHS, and the involvement of Peter Mandelson through his firm Global Counsel. “These are not fringe ideological concerns,” Onwurah told the Guardian. “They relate to contract transparency, vendor lock‑in, value for money and data security – matters that should concern everyone pushing the NHS towards digital transformation.” She added that the NHS’s post‑COVID fatigue and austerity‑driven burnout make any additional trust‑related resentment a significant barrier to progress. Onwurah noted that Palantir secured the contract after providing services to the NHS at a nominal cost – a tactic often used by large tech firms to position themselves as the most attractive government supplier. “It is right for the government to explore all options, including breaking the contract, given ongoing concerns about FDP uptake while Palantir remains at the helm,” she said. Liberal Democrat MP Martin Wrigley, also on the committee, urged the government to commission a new consortium of UK‑based tech experts to build a home‑grown NHS platform. During a previous committee appearance, Mosley accused British doctors of placing “ideology over patient interest” after they challenged the data‑processing contract. Speaking to the Times, Mosley warned that removing Palantir could jeopardise patient care and stall solutions to the NHS’s biggest challenges, arguing that the campaign against the firm would do more harm than good.