Breaking AI & Tech News Analyzed

The question of whether we should be polite to voice assistants and artificial intelligence systems has sparked a thought-provoking discussion. A reader from Toronto, Alison Williams, shared her habit of saying 'please' and 'thank you' to her Alexa, despite being certain that the device doesn't care.This raises a broader inquiry: Is it worth being polite to artificial assistants? While these systems may not possess consciousness or emotions, the act of being polite may reflect more on human behavior and social norms than on the machines themselves.Readers are invited to share their thoughts and responses can be posted below or emailed to [email protected]. A selection of responses will be published in a future edition.

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.

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.

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

Oracle, a US technology company with a market value of $420bn, has begun cutting thousands of jobs as it seeks to reassure investors that its bet on AI infrastructure will pay off. The company, which has a workforce of 162,000, has reportedly let go of around 10,000 people so far.The job cuts, which were announced via email, affect various roles including senior engineers, architects, operations leaders, program managers, and technical specialists. Oracle's decision to reduce its workforce comes as it steps up spending on datacentres, key infrastructure for developing and operating AI systems, in an effort to better compete with cloud rivals such as Alphabet and Amazon.Oracle's plans include a $300bn datacentre deal with OpenAI, the developer of ChatGPT. However, investors have grown concerned about the billions of dollars of expenditure attached to its plans, which includes raising $50bn in new debt. In a March filing, Oracle said it expected total costs tied to its 2026 restructuring plan to reach up to $2.1bn, largely owing to redundancies and related expenses.The job cuts are part of a broader trend in the tech industry, with over 70 tech companies cutting around 40,480 jobs so far this year, according to the tech redundancy site Layoffs.fyi. This trend is driven by companies reallocating resources towards artificial intelligence, heightening fears of AI-driven disruptions among workers.

The Iranian military has reportedly leveraged artificial intelligence to identify its first thousand targets, showcasing a notable integration of technology in its strategic operations. This development underscores Iran's efforts to modernize its military capabilities, potentially altering the dynamics of its defense and strategic planning.According to sources, the use of AI in target identification allows for more precise and efficient military planning. This technology can analyze vast amounts of data quickly, enabling the identification of targets that might have been overlooked through traditional methods.The incorporation of AI into military operations by Iran raises questions about the future of warfare and the role of technology in international conflicts. As nations continue to develop and deploy AI in their military strategies, the global security landscape may see significant shifts.

The UK's position in quantum computing has been hailed as a success story of long-term investment in fundamental science. However, the current approach to science funding, particularly by UK Research and Innovation, has raised concerns among experts. The abrupt discontinuation of the Quantum Technologies for Fundamental Physics initiative has resulted in the loss of dozens of early-career researchers trained in a strategically important area. Moreover, there has been no clear vision for what replaces it, nor any meaningful consultation on how such crucial cross-disciplinary programmes should be organised. A similar disconnect is emerging in artificial intelligence, where many techniques driving impact were developed and deployed in fundamental research communities, such as particle physics. Undermining this base risks cutting off the pipeline of ideas and skills that the wider economy depends on. Experts stress that if the UK is serious about long-term leadership, prioritisation must be done with care, transparency, and a credible plan for sustaining the full ecosystem, from fundamental science through to application. Prof Ruben Saakyan, chair of the STFC particle physics advisory panel, emphasises the need for a well-thought-out strategy. Dr Simon Williams also highlights the importance of sustained investment in people and fundamental science, stating that ambition in quantum computing cannot succeed without it. Prof Sheila Rowan, director of the Institute for Gravitational Research, points out that the PPAN area is a training ground for expertise in various engineering and technical skills, which are in short supply and crucial for driving a bright future in quantum computing and quantum technology.

California is taking a significant step in regulating the artificial intelligence (AI) industry by introducing new standards for companies seeking to do business with the state. This move directly contradicts former President Donald Trump's stance on keeping the industry as deregulated as possible. Governor Gavin Newsom signed an executive order on March 30, giving the state four months to develop AI policies that prioritize public safety. Companies hoping to secure contracts with California will be required to demonstrate policies that prevent AI from distributing child sexual abuse material and violent pornography. They must also show how their models avoid incorporating “harmful bias” and detail policies aimed at avoiding “unlawful discrimination, detention, and surveillance”. The order also directs the state to come up with best practices for watermarking AI-generated or -manipulated images and videos. Newsom emphasized California's commitment to innovation while ensuring that companies protect people's rights and do not exploit or put them in harm's way. California's actions are part of a broader trend of state-level attempts to regulate an AI industry that has raised public safety concerns and worries about the potential for job displacement due to automation. According to the New York Times, states have passed more than 100 laws to shield children from chatbots and to block AI companies from using copyright-protected material. The White House issued a national policy framework for AI in December that discouraged states from passing such regulations, with Trump's executive order calling for minimal regulation to allow U.S. AI companies to innovate freely. In response, the Justice Department established an “AI Litigation Task Force” to challenge state AI regulations.