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The CEO Moment: Qualcomm's Cristiano Amon

TIME - Tech

Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Those who are bullish about the future of artificial intelligence imagine a day soon when consumer products are finally able to match the potential capabilities of the technology. Among the companies determining that future is Qualcomm, the semiconductor leader whose chips power many of the devices in our lives--from smartphones to automobiles.


Man of his word: Pope Leo speeches declared human-authored by Australian AI detection tool

The Guardian

A collection of speeches and writings by Pope Leo XIV has been certified by Australian company Proudly Human as having been written by people, not AI. A collection of speeches and writings by Pope Leo XIV has been certified by Australian company Proudly Human as having been written by people, not AI. A collection of speeches and writings by Pope Leo XIV has been certified as human-authored less than two months after Leo declared artificial intelligence the greatest threat to humanity. Proudly Human, the Australian company spearheaded by Australia's former chief scientist, Dr Alan Finkel, undertook a review of a collection of writings and speeches by the pope, in collaboration with the publisher, the Australian Catholic University and cardinals in the Vatican . Maps of Hope was published in the same week in May that Leo's first encyclical,, warned of the dangers of artificial intelligence and the risks of the power of the technology being concentrated in the hands of a few .


Government use of automated AI decision-making to be curbed under new Australian rules

The Guardian

Federal departments and agencies still use automated decision-making in some service delivery functions, prompting fears AI systems could replace more human-led processes. Federal departments and agencies still use automated decision-making in some service delivery functions, prompting fears AI systems could replace more human-led processes. The use of AI in automated decision-making by government departments and agencies will be subject to tough rules under a new national plan, expected to extend to consumer protections, workplace safety and privacy. As the Albanese government grapples with the rapid growth in the use of artificial intelligence and a boom in datacentre construction, senior ministers have begun work to draw up new rules to ensure safety is built into AI processes inside government, prioritising fairness, accuracy and transparency. Federal departments and agencies continue to rely on automated decision-making in some service delivery functions, prompting fears increasingly sophisticated AI systems could replace more human-led processes.


A Humanoid Company Backed by Eric Trump Is Preparing Its Robots for War

WIRED

The CEO of Foundation Future Industries, which counts the president's son as its chief strategy adviser, tells WIRED it's exploring some "kinetic things." Some companies want their humanoid robots to fold your clothes. Others want them in the workplace . Sankaet Pathak and his startup Foundation Future Industries have a slightly different goal: produce an all-American robot supersoldier. Pathak, Foundation's CEO, says his company plans to start giving its humanoids lethal capabilities soon, although he declined to share specifics.


Here's Why Anthropic Is Pushing States to Regulate AI Faster

WIRED

Here's Why Anthropic Is Pushing States to Regulate AI Faster The company endorsed landmark AI transparency laws in California and New York last year, but its head of US state and local policy says they may already be outdated. Anthropic threw its support behind the first wave of frontier AI safety laws in the United States last year, securing new transparency requirements in California and New York that much of Silicon Valley fought against, arguing they would stifle the AI boom . But Anthropic says those laws may already be outdated, and the company is now pushing states to adopt even tougher regulations. "The transparency-focused safety bills of 2025 were a really important start, but as the capabilities of AI systems continue to advance quickly--the policy responses need to match," Cesar Fernandez, Anthropic's head of US state and local government relations, told WIRED in an interview. "We think that transparency and self reporting are no longer sufficient safety measures for the most powerful AI systems."


AAAI presidential panel – factuality and trustworthiness

AIHub

The Future of AI Research report, published in March 2025, aims to clearly identify the trajectory of AI research in a structured way. The report was led by outgoing AAAI President Francesca Rossi and covers 17 different AI topics . Members of the report team, and other selected AI practitioners, are taking part in a series of video panel discussions covering selected chapters from the report. In the sixth discussion in the collection, the three panellists tackle factuality and trustworthiness. Understanding factuality: why preventing false outputs from large language models remains AI's toughest problem Lucy Smith is Senior Managing Editor for AIhub.


'AI accountability agenda': US senator unveils package of bills to curb tech's harms

The Guardian

Senator Ed Markey says: 'We need to make sure these datacenters don't turn into pollution bombs.' Senator Ed Markey says: 'We need to make sure these datacenters don't turn into pollution bombs.' 'AI accountability agenda': US senator unveils package of bills to curb tech's harms US senator Ed Markey is worried about the perils of unregulated artificial intelligence. All of it: the costs associated with thirsty, energy-guzzling datacenters, intrusive workplace surveillance, bias in discriminatory algorithms, AI overriding workers' judgments, and deepening economic inequality - as those who profit most from AI rake in extraordinary windfalls. The Massachusetts Democrat's interest in convincing Congress to rein in the harmful effects of AI has only grown, as the technology embeds itself deeper across industries. Markey has already authored close to a dozen bills aimed at tackling these problems.


Robot Dogs, Teslas, and Rescue Helicopters: The UN AI Summit Was a Lot

WIRED

Amid live coding sessions and Silicon Valley optimism, the UN's AI for Good summit wrestled with an increasingly urgent question: Can global governance catch up before the technology races beyond its control? Dodge past the live onstage coding sessions, AI refresher courses, an obstacle course of gizmos, round people walking round with glowing green silent-disco-style headphones blaring UN panel discussions into your ears, and you can take a pause for breath. But you might find yourself in the Networking Zone, on a rotating seating contraption called UFOTECH that looks more like the kind of lazy Susan you'd encounter at a Chinese restaurant than the networking bench it is designed to function as. This is the AI for Good summit, organized by the United Nations' International Telecommunication Union (ITU), where representatives from the private and public sectors try to discuss how to harness the technology for the benefit, rather than the detriment, of humanity. While Silicon Valley execs and AI lab leaders are testifying to lawmakers in Washington about the risks of superintelligence, and the White House slaps export controls on chips, the UN AI for Good Summit--now in its 10th year--is focused on much more idealistic goals.


'Time traveler' claiming to be from the year 3700 issues chilling warning for humanity as he reveals 'evidence' of future apocalypse

Daily Mail - Science & tech

Petrifying new photos show sagging Manhattan skyscraper that continues to move after buckled beams triggered mass evacuation... as city official insists any collapse will be'localized' Credit Suisse VP gave wife genteel Southern life after staging romantic beach proposal. Lauren Bennett's father reveals devastating details of her final months before LMFAO star's shock death at 36 Argentina vs Egypt - last 16 LIVE: Furious Egyptians claim World Cup is RIGGED in Lionel Messi's favour after underdogs fell victim to two VAR controversies in dramatic defeat in Atlanta Why the King's patience finally snapped after Harry's endless flip-flopping on Palace stay: REBECCA ENGLISH reveals how Charles was pushed to breaking point by'chaos, disruption and disrespect' I lost 126lbs in a year after I began taking this little-known 7-cent supplement. It killed all my cravings... and it can even tackle female facial hair and acne The unglamorous reality of attending Taylor Swift's wedding... revealed by disgruntled guests: ALISON BOSHOFF Astonishing downfall of Obama-backed Democratic golden boy as he's arrested on disturbing charges Mutiny at Justice as hundreds demand rejection of Pam Bondi's replacement over'culture of fear' Candace Owens is profiting off Charlie Kirk's death. She was his protégé and my employee. Louise Lasser dead at 87: Mary Hartman, Mary Hartman actress who was Woody Allen's second wife passes away Revealed: Taylor and Travis have a SECRET DOG.


The foundational elements of AI architecture that IT leaders need to scale

MIT Technology Review

Discover four foundational elements of AI architecture that will endure as models continue to advance: data quality, context engineering, governance, and human expertise. With the rapid progress of AI capabilities and the move to agentic systems, organizations are expanding their use cases as the technology continues to grow. That constant evolution also introduces risk, leaving IT leaders to wonder which investments will prove valuable even six months into the future. Returning to the foundational elements of AI architecture--the structural framework required for deploying and managing reliable, integrated AI systems at scale--allows technology leaders to make astute decisions today while supporting a future of AI agents that can retrieve information, make decisions, and execute complex workflows across systems. The following capabilities provide a stable compass on the path to production-ready deployment, regardless of how the underlying technology evolves. Models are only as reliable as the data they can access, and poor data quality leads to AI hallucinations, bias, and unreliable outputs.