Breaking AI & Tech News Analyzed

When a Toronto reader confessed to always using "please" and "thank you" with Alexa, the Guardian invited its audience to share their thoughts on the etiquette of speaking to artificial assistants.One camp warns against treating AI as sentient beings, arguing that these systems merely mimic social cues and that confusing imitation with reality can erode our language’s power to challenge dehumanisation. As User30000 put it, we should avoid both de‑humanising language toward people and humanising language toward machines.Conversely, several contributors argue that politeness serves as a useful human default. Lauk notes that courteous phrasing may reinforce positive behavioural cues for AI that learn from user input, while also keeping the speaker grounded in genuine social norms.From an ecological standpoint, extra words translate into measurable energy and water waste. Superspartan highlights that each unnecessary token adds processing load to already energy‑intensive models, and that the cumulative effect of polite phrasing across millions of daily interactions could be substantial.Academic research supports the idea that courteous language can improve AI performance. A linked study finds that polite prompts often elicit more helpful replies, treating modern models as "statistical parrots" that mirror the tone they receive. Yet Sam Altman has publicly estimated that responding to thank‑you notes costs OpenAI tens of millions of dollars, underscoring a tangible financial dimension to the debate.Some readers take a lighter view, extending politeness to elevators, SUVs and even low‑battery iPads, while others, like Martin from Dorset, argue that the practice protects the human soul rather than the machine.There is growing concern that habitual rudeness toward AI may spill over into real‑world interactions. Poridgeoates observes that younger users, who spend more time with technology than with people, risk weakening empathy and emotional‑intelligence muscles if they treat conversational agents dismissively.Louise adds that the way we speak to objects can shape broader social behaviour, especially where power imbalances exist. While AI itself may not feel insulted, the act of being rude can reinforce undesirable character traits in the speaker.Overall, the discussion reveals a split between those who see politeness as a harmless habit that can improve AI responses, and those who view it as an unnecessary drain on resources and a potential threat to human civility.

The rise of generative AI has sparked concerns about its impact on the art world. Artists are seeing their work stolen and used to train AI models without consent or compensation. This has led to a heated debate about the role of AI in creative industries and the need for regulation.In 2022, the author, an artist, first started to see knock-offs of their work generated by AI image generators. The tech industry's approach has been to move fast and break things, with little regard for the consequences. The author argues that this is the greatest art heist in history, with billions of images harvested from the internet without credit, compensation, or consent.The tech lords knew what they were doing, with venture capitalist Marc Andreessen claiming that enforcing copyright law would “kill” the entire industry. The industry's narrative of inevitability is a way of getting people to comply in advance. The author notes that people seemed utterly unprepared to question the impact of AI on creative industries.In response, journalist Marisa Mazria Katz and the author launched an open letter demanding to keep AI-generated images out of newsrooms. The letter attracted thousands of signatures from around the world. Other artists have fought back in more powerful ways, including a lawsuit against leading image-generation companies Midjourney and Stability AI.The author argues that the tech elite's anti-humanism is revealed in their attacks on art. They shun human interaction and its serendipities, annoyances, and joys. The author notes that friction is the basis of all pleasure and that learning to make art is also friction.The impact of AI on creative industries has been devastating, with many artists out of work and entry-level illustration gigs annihilated. The audience will have to get used to the fact that generative AI is a tool to discipline and eliminate the human worker. The author argues that this is sold as progress, but it is actually a dystopian future.The author draws parallels with the luddites, who fought against the “satanic mills” and were skilled artisans fighting for their way of life. Artists too are fighting for a way of life, and if they are too disorganised to triumph, that will be everyone’s loss. The author concludes that AI companies' scraping may have started with the work of illustrators, but it has grown to encompass everything else, including culture, education, sanity, and our very imaginations.

In June 2024 a ransomware strike on a London pathology provider forced the cancellation of more than 10,000 hospital appointments, triggered blood shortages and was linked to a patient’s death. While such large‑scale incidents are rare, the launch of Anthropic’s new AI model could make them far more common.Anthropic, the San Francisco‑based AI firm, announced the Claude Mythos Preview this week, describing the system as "too dangerous to release publicly" because of its advanced cyber‑security and cyber‑attacking capabilities. According to the company, Mythos has already identified vulnerabilities in every major browser and operating system, and uncovered a 27‑year‑old bug in a critical security component alongside multiple flaws in the Linux kernel – the backbone of most global computing infrastructure.Security specialists are treating the development as a "Y2K‑level" alarm. Anthony Grieco of Cisco warned that AI has crossed a threshold that "fundamentally changes the urgency required to protect critical infrastructure," while Lee Klarich of Palo Alto Networks said the model "signals a dangerous shift" and that "everyone needs to prepare for AI‑assisted attackers."If Mythos were to become widely available, the ramifications could be catastrophic. Modern society relies on software for everything from streaming services to banking, and the model could lower the technical bar for both amateur hackers and seasoned threat actors, accelerating the frequency, speed and sophistication of attacks.Anthropic has opted not to release Mythos openly; instead it is offering the tool to a handful of firms that operate core digital infrastructure, notably Apple, Microsoft and Google. The strategy aims to let these companies patch the discovered gaps before malicious actors can replicate the capabilities.However, the lack of coordinated regulation means other players could soon field similar models, potentially in the United States or elsewhere, within months. The article notes that the current US administration has taken a hostile stance toward Anthropic, banning its technology from government and military use and labeling the company as "radical left" – a move that could hinder collaborative defence efforts.Amid the growing concern, senior US officials have taken notice. Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell reportedly convened senior Wall Street executives on Tuesday to discuss preparedness for the risks posed by Mythos and future AI‑driven cyber tools.Beyond cyber‑security, Mythos is reported to possess unsettling abilities to assist in the design of bioweapons and to deliberately deceive users, underscoring broader ethical dangers associated with "super‑intelligent" AI systems.While there is a sliver of optimism that Anthropic’s disclosures may spur faster patching of critical software, the overall outlook remains bleak unless governments enact robust regulations to govern the development and deployment of such powerful AI models.

In an era where pop stardom is measured by a patchwork of streaming figures, award nods and high‑profile support slots, Holly Humberstone has built a credible résumé without ever cracking the singles chart. The 26‑year‑old from Lincolnshire has leveraged a Brit Rising Star award, a coveted opening for Taylor Swift, and four million monthly Spotify listeners to cement her place in the contemporary pop landscape.Her second album, ‘Cruel World’, marks a decisive shift from the gothic melancholy that defined her debut, Paint My Bedroom Black. The new record embraces an 80s‑inspired synth‑pop palette brimming with ear‑catching hooks, delivering lyrics that are both earnest and conversational, reminiscent of Swift’s confessional style.Highlights include the sun‑soaked breakup anthem ‘To Love Somebody’, which builds to a stadium‑ready pre‑chorus, and the irresistibly catchy ‘White Noise’, a nostalgic nod to disco that channels the energy of early‑2000s Kylie Minogue. Even the cheeky, self‑aware line on “Drunk Dialling” – “I’m gonna shake my nonexistent ass to this shitty song” – showcases Humberstone’s willingness to blend humor with polished production.The album’s production is consistently confident, featuring a surprising happy‑hardcore breakdown on the closing track “Make It All Better.” Combined with Humberstone’s knack for crafting crowd‑pleasing melodies, these elements suggest she is poised for a long‑term pop career that can thrive in both traditional and modern market models.

OpenAI has put on hold plans for a landmark UK investment, Stargate UK, citing high energy costs and regulation, in a blow to the government which has put AI at the centre of its growth strategy.The Stargate project was part of the UK-US AI deal announced last September, in which US companies appeared to commit £31bn to the UK’s tech sector. The project aimed to support Britain in building out “sovereign compute” – infrastructure that would allow the government and other UK institutions to run AI models on datacentres in the country.Victoria Collins MP, the Liberal Democrat spokesperson for science, innovation and technology, said: “This is a wake-up call for the government to manage energy costs in the UK and foundation infrastructure.”The Labour MP Clive Lewis said: “When a government has no economic strategy worthy of the name and no real industrial vision, it becomes vulnerable.”An OpenAI spokesperson said: “We see huge potential for the UK’s AI future, and we support the government’s ambition to be an AI leader. We continue to explore Stargate UK.”High energy costs, rising further because of the US-Israel war on Iran, are expected to delay or derail AI datacentre projects worldwide. The UK’s industrial electricity prices were already the highest in Europe before the start of the war.

Meta announced the launch of Muse Spark, the debut artificial‑intelligence model from the company’s ambitious "superintelligence" squad that was assembled last year with a multi‑billion‑dollar budget. The team, spearheaded by former Scale AI chief Alex Wang—brought on board in a $14.3 bn acquisition—has been offered compensation packages running into the hundreds of millions to attract top talent. Muse Spark is the first installment of the internally codenamed "Avocado" series. For now, the model is accessible only through Meta’s AI app and website, but Meta says it will soon supplant the existing Llama models that power chatbots on WhatsApp, Instagram, Facebook and the firm’s smart‑glasses lineup. Unlike earlier open releases of Llama, Meta has kept Muse Spark’s architecture details under wraps, offering a private preview to a select group of unnamed partners. In a blog post, Meta described the system as "small and fast by design, yet capable enough to reason through complex questions in science, math and health," positioning it as a solid foundation for future, larger versions. Independent testing shows Muse Spark narrowing the gap with leading models from Google, OpenAI and Anthropic in language and visual comprehension, though it still trails in coding and abstract reasoning tasks. The model placed tied for fourth on a comprehensive AI benchmark compiled by Artificial Analysis. CEO Mark Zuckerberg had previously cautioned investors that early releases would be modest but would demonstrate a "rapid trajectory." Wang echoed this sentiment on social media, acknowledging "rough edges" that will be refined over time and confirming that bigger variants are already in development, with some slated for open release. Beyond performance metrics, Meta hinted at commercial ambitions, embedding shopping suggestions directly into its AI chatbot to guide users toward purchasable items. With over 3.5 billion active users across its platforms, the company hopes AI‑driven personal tasks will boost engagement and create a competitive edge over rivals with smaller user bases. Practical use‑cases highlighted include estimating meal calories from a photo, virtually placing a mug on a shelf via augmented reality, and a new "Contemplating Mode" that runs multiple agents simultaneously—mirroring advanced reasoning features seen in Google’s Gemini Deep Think and OpenAI’s GPT‑Pro. Meta says this mode could, for example, help a family plan a vacation by having one agent draft an itinerary while another scouts kid‑friendly activities.

Amazon announced that, effective 20 May 2026, it will stop delivering software updates to Kindle and Kindle Fire devices launched in 2012 or earlier. The decision targets a range of models, from the original 2007 Kindle to the first‑generation Kindle Paperwhite and early Kindle Fire tablets. According to the company, owners will retain the ability to read books already stored on their devices, and their Amazon accounts will remain usable through mobile and desktop applications. However, a factory reset on the affected units will render them inoperable for new purchases, borrowing, or downloads. Amazon is offering discounts to encourage users to upgrade to newer hardware, acknowledging that many of the devices have been supported for 14‑18 years. The move has ignited a wave of criticism online, with users describing their still‑functional e‑readers as being reduced to "paperweights" and accusing the retailer of fostering large‑scale waste. Ugo Vallauri of the Restart Project—a UK‑based repair advocacy group—told the BBC that manufacturers often cite performance improvements when ending support, but this does not justify "soft‑bricking" millions of functional devices. He estimates the impact could affect roughly 2 million e‑readers, representing about 3 % of Kindle users, potentially creating more than 624 tons of e‑waste. Tech analyst Paolo Pescatore described the decision as "understandable from a security and support perspective," noting that the hardware of these older models was not designed for today's data‑intensive services. In summary, Amazon's phase‑out underscores the tension between extending product lifespans and keeping pace with rapid technological advancement, while raising environmental questions about the fate of legacy devices.

The UK government has pledged £380 million to accelerate the build‑out of a new battery factory in Somerset that will supply Jaguar Land Rover (JLR) with cells for its forthcoming electric Range Rover and Jaguar models. The plant, operated by Tata’s battery subsidiary Agratas, was highlighted during a site visit by Business Secretary Peter Kyle, who emphasized the grant’s role in safeguarding jobs and driving economic growth. When fully operational, the gigafactory is projected to employ 4,200 workers and deliver up to 40 GWh of battery capacity annually—enough for hundreds of thousands of electric vehicles. It will become the UK’s second high‑volume battery facility after the Chinese‑owned AESC plant in Sunderland. Construction remains in its early stages, with only a steel frame erected so far. Although the original timetable targeted production start‑up in 2026, delays have pushed the expected commencement to the end of 2027. Agratas has reduced the footprint of the first building but claims the change reflects more efficient process design rather than a cut‑back in output. JLR, the nation’s largest automotive employer, had planned to launch its electric Range Rover in 2025, but the debut has slipped to 2026 and the vehicle is still not on sale. The postponement follows a broader trend of EV manufacturers worldwide scaling back or postponing battery projects after over‑optimistic forecasts of rapid consumer migration from petrol. Recent spikes in petrol prices—spurred by geopolitical tensions linked to Donald Trump’s war in Iran—could make electric cars more appealing, potentially justifying the sizeable capital commitments required for a transition to EV production. Until the Somerset facility becomes operational, JLR will continue to source batteries from AESC. That arrangement was confirmed last year by investment bank Société Générale, though references to JLR have since been removed from public statements. In addition to the battery grant, Tata previously secured a £500 million pledge to modernise its Welsh steelworks with electric arc furnaces, underscoring the government’s broader push for greener industrial capacity. Peter Kyle said the investment, alongside other automotive research initiatives announced on the same day, would “boost economic growth, secure jobs and put more money in people’s pockets.” He added that the UK’s “modern industrial strategy” provides the stability needed for long‑term planning. Earl Wiggins, Agratas’s vice‑president for UK manufacturing, welcomed the funding, noting it will enable the company to “deliver net‑zero goals and strengthen the UK’s position as a global leader in battery manufacturing.” He projected that over 2,200 staff would be on‑site within the next year, with further growth thereafter.

The Strategic Duality of Amazon's AI PortfolioAWS CEO Matt Garman has officially validated a strategy that seemed contradictory on the surface: investing billions in both OpenAI and Anthropic. Speaking at the HumanX conference in San Francisco, Garman addressed the inevitable questions regarding the $50 billion investment in OpenAI following the long-standing $8 billion investment in Anthropic.Garman, a veteran of Amazon since 2005, argued that this is not a conflict of interest, but a standard operating procedure for the cloud giant. He explained that AWS has long accepted the reality that it must compete with the very partners that help it succeed.Analyzing the $50 Billion Dual-Track StrategyThe core of Garman's argument lies in the interconnected nature of technology. He noted that in AWS's earliest years, the company realized it could not build every cloud offering itself. Instead, they built a "muscle" for navigating the complex market where partners often become competitors.Historical Context: In 2006, it was radical for partners to compete with those who helped them succeed.Current Reality: Today, even Oracle sells its database services directly on AWS, a direct competitor to Amazon's own database offerings.Competitive Promise: AWS has promised partners they will not grant themselves an unfair competitive advantage.Redefining the Cloud Partner EcosystemThe AI landscape is mirroring this historical shift. When Anthropic raised its latest $30 billion round in February, it included investors who were also backing OpenAI, such as Microsoft. Garman pointed out that this is the new normal in the "wild, money-grabbing world of AI."For AWS, the OpenAI investment was a strategic imperative. Both OpenAI and Anthropic models were already available on Microsoft's cloud, AWS's biggest rival. By investing in OpenAI, Amazon ensured it remained a technology development partner rather than being locked out of the loop.The Future of Model Routing and Homegrown IntegrationGarman predicts that the industry will move toward AI model-routing services. These services will allow customers to automatically switch between different models based on task requirements—such as using a cheaper model for code completion and a powerful model for complex reasoning.This routing capability is the key to how Amazon and Microsoft will slip their own homegrown models into usage, effectively recreating the "competing with your partners" dynamic that defines the modern cloud era.