AI News Archive: June 24, 2026 — Part 3
Sourced from 500+ daily AI sources, scored by relevance.
- Embodied AI Chip Market Heats Up as Multiple Players Race for Dominance
Embodied AI Chip Market Heats Up as Multiple Players Race for Dominance
- Is AI Search Creating Insurance Monopolies in Australia? Somantra Data Says Yes But 70% of the Market Is Still Unclaimed
Is AI Search Creating Insurance Monopolies in Australia? Somantra Data Says Yes But 70% of the Market Is Still Unclaimed azcentral.com and The Arizona Republic
- Nissan will slash software development time from months to hours to catch China SDVs
Nissan will slash software development time from months to hours to catch China SDVs Automotive News
- Qualcomm to design China-specific data center chip in line with US export curbs
Qualcomm to design China-specific data center chip in line with US export curbs Nikkei Asia
- Superhuman, formerly Grammarly, acquires AI detector GPTZero
Two companies with Canadian roots want to build the internet’s “authenticity layer.” The post Superhuman, formerly Grammarly, acquires AI detector GPTZero first appeared on BetaKit .
Score: 71🌐 MovesJun 24, 2026https://betakit.com/superhuman-formerly-grammarly-acquires-ai-detector-gptzero/ - Qualcomm reveals Meta as first Big Tech customer for data centre chips
Announcement of deal along with higher revenue outlook boost shares as much as 15%
- Meta pauses mandatory AI training program that tracked employee keystrokes after internal data leak exposed sensitive staff information company-wide — employees express frustration over poor handling of data
Meta has paused an internal AI training program after employee conversations, keystrokes, transcripts, and performance-related data were reportedly exposed across the company.
- Amazon's Zoox unveils redesigned robotaxi ahead of upcoming expansion
Zoox is updating its robotaxis as the Amazon division plots expansion in additional markets and prepares to charge for rides.
Score: 71🌐 MovesJun 24, 2026https://www.cnbc.com/2026/06/24/amazons-zoox-unveils-redesigned-robotaxi-ahead-of-upcoming-expansion.html - US government reportedly urging Meta to share its AI models
The US government is reportedly asking Meta to share its AI models for review, in the midst of growing security and safety concerns over the technology.
Score: 71🌐 MovesJun 24, 2026https://www.engadget.com/2200490/us-government-reportedly-urging-meta-to-share-its-ai-models/ - Mistral's new OCR model beats competitors in 72 percent of blind test cases, company says
Mistral AI has released OCR 4, a new model that reads text from documents like PDFs, Word files, and PowerPoint presentations. The article Mistral's new OCR model beats competitors in 72 percent of blind test cases, company says appeared first on The Decoder .
Score: 70🤖 ModelsJun 24, 2026https://the-decoder.com/mistrals-new-ocr-model-beats-competitors-in-72-percent-of-blind-test-cases-company-says/ - Tech Brief (June 24): ByteDance Targets July Launch of Upgraded AI Video Model
Tech Brief (June 24): ByteDance Targets July Launch of Upgraded AI Video Model Caixin Global
- UN Women flags AI's growing role in gender and racial bias
UN Women flags AI's growing role in gender and racial bias YourStory.com
Score: 70🌐 MovesJun 24, 2026https://yourstory.com/herstory/2026/06/un-women-flags-ai-growing-role-in-gender-racial-bias - ‘Who is going to pay us when we’re replaced by robots?’ The Indian factory workers told to film themselves for AI
When workers had cameras attached to them, they found it funny at first. But novelty soon turned to concern The first time the factory supervisors handed garment worker Lalita* a head-mounted camera, she burst out laughing. “The way people mount a CCTV camera on a wall, they mounted one on us,” she says. The 32-year-old had been working at the garment factory on the outskirts of Delhi for nearly a year when management asked workers on her line to strap small cameras to their foreheads before starting their shifts. Nobody explained why. Continue reading...
- Smart contact lens–trained digital twin for device-free personalized uric acid prediction
Science Advances, Volume 12, Issue 26, June 2026.
- AI Is Designing Radio Chips That Humans Couldn’t Even Imagine
Freed from intelligibility and aesthetics, AI designs faster
- Cloud Startup Runpod Raises $100 Million, Says It Turned Down Buyout Offers
Cloud Startup Runpod Raises $100 Million, Says It Turned Down Buyout Offers The Information
- A.I. Riches Fuel Economic Divide in Asia’s Chip Powerhouses
A.I. demand is driving stock market gains and booming exports in South Korea and Taiwan. But the rest of the economy is being left behind.
- Santander weighs up to 3,000 early retirements in Spain amid AI shift, newspaper says
Santander weighs up to 3,000 early retirements in Spain amid AI shift, newspaper says Reuters
- Qualcomm forecasts $15 billion data center chip sales by 2029, shares soar
Qualcomm forecasts $15 billion data center chip sales by 2029, shares soar Reuters
- Warren Calls for AI Antitrust Scrutiny, Deal Review Revamp
Massachusetts Democratic Senator Elizabeth Warren urged Congress to push for greater antitrust enforcement on emerging technologies such as artificial intelligence and to revamp merger law to make more information public.
- Stanford researchers will discuss their agentic 'scientists' that are on course to reshape drug discovery at VB Transform 2026
Drug discovery is notoriously inefficient. Pharmaceutical projects span years, moving from one specialized human team to the next through disconnected workflows that result in knowledge loss during each handoff. A shocking 90% to 95% of drug discovery projects reportedly fail — one of the highest failure rates of any industry. A single successful drug can take over a dozen years and up to $1 billion from initial discovery to patient distribution, according to published reports. Generative AI is being used to solve some of the challenges, but Stanford researchers have moved the ball forward with agentic AI. A team led by James Zou, associate professor of Biomedical Data Science at Stanford University, has deployed thousands autonomous AI "scientist" agents in a virtual biotech that simulates the full lifecycle of drug development. The agents handle everything from initial discovery through safety testing and clinical trial design, while maintaining the continuity that’s lacking in today’s drug discovery processes, according to Zou. The project uses a hierarchical orchestration framework. At the top sits a chief scientist officer agent that acts as a planner, delegating tasks to teams of specialized agents, Zou told VentureBeat during a call ahead of his upcoming session at VB Transform 2026 . While one team of agents focuses on discovery, another manages safety, and others handle specialized analytical tasks. Because these agents operate within a unified, hierarchical ecosystem, they retain the full context of a project, maintaining continuity from the first molecule identified to the final clinical outcome. The "brain" of the system relies on a vast amount of primary data. The agents are granted access to data sources ranging from genomics and FDA chemistry data to clinical trial databases using a model context protocol . The team has invested heavily in agent-native and agent-friendly data, allowing the AI to synthesize complex information more effectively. The system relies on a combination of models, with Zou noting that while Claude often serves as the backbone for coding and data analysis, the architecture employs a mixture of models, including those fine-tuned specialized use cases. Zou is raising money at a roughly $1 billion valuation for his startup, Human Intelligence, based on the research. During Zou’s session at VB Transform on July 15, titled How 10,000 agentic scientists in Stanford’s lab are set to revolutionize medical research and discovery , he will share valuable insights including strategies for managing context and long-running, multi-step workflows in a multi-agent system, the process of transforming and indexing raw enterprise data to make it agent native, and how to use human auditing and experimental reward signals to verify agent actions. Another session at VB Transform focused on the value of agentic context includes Building a trustworthy agentic AI foundation: How Zillow accelerated engineering by 40% , with Zillow's SVP of engineering and technology, Toby Roberts and Glean’s CEO Arvind Jain. Interested in attending VB Transform 2026? Register here . A select number of complimentary passes are also available to senior technology leaders. Contact us to get yours.
- Police risk being outwitted by criminals using AI, says Met chief
Police risk being outwitted by criminals using AI, says Met chief The Telegraph
Score: 70🌐 MovesJun 24, 2026https://www.telegraph.co.uk/news/2026/06/24/police-risk-outwitted-ai-met-chief-mark-rowley-met/ - Children using AI in schools: How 3 major countries differ in policy amid debate on tech’s brain effects
On June 19, Norway’s prime minister Jonas Gahr Støre announced a near ban on the use of generative AI by elementary school students. The government’s new guidelines, which will be applied for the upcoming school year starting in August, lay out how much AI students should be using given their age and grade level: Students in first through seventh grade (approximately ages 6–13) will be barred from using the technology at school, while students in lower secondary education (ages 14–16) can use the tools with careful teacher supervision. In upper secondary education (ages 17–19), students will learn how to use AI appropriately as they prepare to enter the workforce. “The most important thing in school is that our children learn to read, write and do mathematics,” Støre said at a press conference , adding that “uncritical use of AI causes students to skip important learning steps.” Støre’s concerns aren’t unfounded. A recent study by the Brookings Institution’s Center for Universal Education combined focus groups, interviews, and expert opinions to assess the impact of generative AI usage on children, concluding that risks outweigh the benefits. When children turn to AI instead of honing their own thinking skills, the study found, they stunt their own cognitive growth and problem-solving abilities. Meanwhile, study after study shows the negative impact that even short-term AI use can have on cognitive function among adults, let alone when the same principles are applied to children. In addition to banning most AI usage in schools, the Norwegian government also announced plans to increase funding for physical books in classrooms, pushing back on a yearslong trend of embracing digital learning tools. Different approaches around the world While Norway exercises caution around AI in education, other nations are speeding in the opposite direction. Just last week, Poland announced its plans to equip 12,000 primary and secondary schools with so-called “AI labs” by the start of the next school year. In addition to laptops, each lab will include a “central unit supporting AI services, network devices, an interactive display, a camera with a microphone and specialised software,” according to the Polish government . Announcing the plan at a press conference, Poland’s prime minister Donald Tusk said students should learn to control AI “rather than it controlling you.” “The most important task for the young generation will be not to underestimate the threats posed by artificial intelligence and to have a sense of sovereignty over the tools they use,” Tusk added. Meanwhile in the United Arab Emirates, AI is being mandated to curriculums as early as kindergarten. In 2025, the UAE’s Minister of Education Sarah Al Amiri told Semafor that AI learning would be incorporated in all public schools and some private schools, with approximately 20 lessons planned for each year of school through the 12th grade. Addressing potential concerns about giving children too much access to technology, Al Amiri said, “Social media is a fact. The [use of] AI is a fact.” The UAE’s new curricular standards, she added, are meant to reengage disinterested students: “I want it to be fun for them.” A broader trend of restrictions Beyond the scope of AI specifically, Norway’s move follows a global trend of restricting minors’ access to technology. In 2024, Norway banned smartphones from its classrooms, leading to improved grades and mental health among students, particularly for young girls . Norway has also announced plans to ban social media usage for children under age 16, following an example set by Australia’s recent ban . Age verification for social media is also becoming increasingly common, with countries including the United Kingdom working to keep children off of inappropriate platforms. Those processes, though, still leave much to be desired, as there are reports of children bypassing the filters with drawn-on mustaches and other disguises .
- Zoom, Salesforce, Dialpad, and Others Bet Big on Agentic AI for CX
CCW showed agentic AI moving deeper into CX platforms. Here’s what IT leaders should know about governance, data, workforce planning, and rollout. The post Zoom, Salesforce, Dialpad, and Others Bet Big on Agentic AI for CX appeared first on TechRepublic .
Score: 70🌐 MovesJun 24, 2026https://www.techrepublic.com/article/news-agentic-ai-cx-contact-center-ccw/ - Franco-German cooperation: a shared vision of sovereign, secure and transparent AI
Turning intentions into action. That is the very essence of the two strategic agreements that Inria has just signed with the DFKI and the Fraunhofer Society at the Vivatech 2026 trade fair. This provides an opportunity for Bruno Sportisse, CEO of Inria, to look behind the scenes and discuss the ambitions of these partnerships. Faced with American and Chinese giants, he explains why the practical strengthening of the Franco-German axis has become the essential lever for building genuine European digital sovereignty.
Score: 70🌐 MovesJun 24, 2026https://www.inria.fr/en/franco-german-cooperation-ai-sovereign-dfki-fraunhofer - What’s next for AI in surgery?
What’s next for AI in surgery? nds.ox.ac.uk
- New Research from Forsure: U.S. Employer Healthcare Is Breaking Down and AGI Is What Comes Next.
New Research from Forsure: U.S. Employer Healthcare Is Breaking Down and AGI Is What Comes Next. azcentral.com and The Arizona Republic
- CambrianEdge.ai Launches in the UK at the House of Lords, unveils Global Study on AI Collaboration Challenges
CambrianEdge.ai Launches in the UK at the House of Lords, unveils Global Study on AI Collaboration Challenges azcentral.com and The Arizona Republic
- Would Claude Refuse an Illegal Military Order?
The AI chatbot told me that it has misgivings about its role in modern warfare.
Score: 70🤖 ModelsJun 24, 2026https://www.theatlantic.com/national-security/2026/06/claude-anthropic-ai-warfare-orders/687581/?utm_source=feed - Hootsuite Rebuilds for the AI Era, Introducing Wisdom — a Social-First AI Agent Turning Social Signals into Action
Hootsuite Rebuilds for the AI Era, Introducing Wisdom — a Social-First AI Agent Turning Social Signals into Action Toronto Star
- Singapore semiconductor firms expand in US for AI boom
Singapore semiconductor firms expand in US for AI boom The Straits Times
Score: 70🌐 MovesJun 24, 2026https://www.straitstimes.com/business/singapore-semiconductor-firms-ramp-up-us-presence-to-capitalise-on-ai-boom - India among top AI-ready nations, one of world's least concentrated equity markets: JP Morgan
Comparing stock market concentration across countries, the report noted that while the share of the ten largest companies in the S&P 500 has risen sharply in recent years, India remains among the least concentrated markets globally.
- AI Infrastructure Could Become India’s Next Trillion-Dollar Growth Story: Vinish Bawa, PwC India
Artificial Intelligence is triggering one of the largest infrastructure buildouts in modern history. As AI workloads become increasingly compute-intensive, they are fundamentally reshaping how data is stored, processed, and moved […] The post AI Infrastructure Could Become India’s Next Trillion-Dollar Growth Story: Vinish Bawa, PwC India appeared first on Express Computer .
- This Bengaluru startup isn’t building faster chips than Nvidia. It’s building cheaper AI
The post This Bengaluru startup isn’t building faster chips than Nvidia. It’s building cheaper AI appeared first on The Ken .
Score: 70🌐 MovesJun 24, 2026https://the-ken.com/story/this-bengaluru-startup-isnt-building-faster-chips-than-nvidia-its-building-cheaper-ai/ - Met pushes ahead with major facial-recognition expansion
The Metropolitan Police will deploy static live facial-recognition (LFR) cameras across the West End and Soho by the end of 2026, despite increased pressure for regulation, following a six-month “pioneering pilot” in Croydon . Previously housed in specialist vans, static LFR cameras will now be mounted on existing street furniture such as lampposts, and monitored by officers remotely, so they can be strategically repositioned to “target emerging hotspots”. Only activated during deployments with officers present, LFR matches are made against a “bespoke, intelligence-led watchlist”, which is created less than 24 hours in advance and deleted immediately afterwards, as per the Met’s LFR policy. The Met said while these cameras are static, they will not be permanently fixed in any one location, with officers having the ability to reposition them to emerging hotspots if they are aware of shifts in crime patterns or tactics. Other areas of high footfall around central London will also be targeted in the LFR expansion, with plans in place to extend its use across the city from 2027. The continued ramp up of LFR use has been heavily criticised by multiple digital rights groups , local councillors and London Assembly members . Responding to the Met’s announcement, Jack Coulson, head of advocacy for Big Brother Watch, said: “Legislation to regulate the police’s use of facial recognition is expected in the autumn. Yet the police are rushing ahead with artificial intelligence [AI] monitoring of the public under their own rules.” A recent UN study also found that digital surveillance – whether real or perceived – causes a chilling effect on people’s behaviour. Calls for regulation At present, the Met operates based on its internal LFR policy rather than a specific legal framework, instead relying on a “patchwork” of laws, such as data protection rules and common law policing powers. The Met’s LFR policy was found to comply with human rights law after a judicial review into its LFR use across London in April 2026. Despite this, the King’s Speech in May 2026 confirmed that a legal framework will be introduced to the Police Reform Bill – which includes the creation of an independent regulatory body and specific legal frameworks for police facial recognition to ensure “use of these technologies can be justified”. Some 11 civil society groups – including Big Brother Watch, Justice, Liberty and the Open Rights Group – responded to the King’s Speech announcement in May 2026 by pushing for regulations in facial recognition technology, with a list of “ minimum, necessary protections ” to protect key the public from excessive AI surveillance. Coulson said: “Forcing people to enter a digital police line-up in the capital’s busiest and most popular destinations is an affront to the idea that you should not have to identify yourself to the police if you have done nothing wrong. To see a play, you must now pay with your privacy.” The ‘pioneering pilot’ The Met reported that more than 470,000 people walked past the camera during the pilot, with only one false alert, which did not result in an arrest. LFR technology has led to more than 2,000 arrests since the start of 2024, with over 170 arrests made during the pilot trials in Croydon , where static cameras were used rather than vans. Met commissioner Mark Rowley said that the pilot delivered a “reduction in crime, and a significant fall in violence against women and girls”, adding that “the technology supports officers to target wanted criminals and registered sex offenders”. “We have already seen the impact in Croydon, where a six-month pilot delivered over 170 arrests, a reduction in crime, and a significant fall in violence against women and girls. All these results with only one false alert among hundreds of thousands of people,” he stated. “The technology supports officers to target wanted criminals and registered sex offenders. Crucially, it is supporting officers – not replacing them.” Public trust While Rowley claims that “public confidence in this is clear – around 80% of Londoners support its use”, a survey of 2,000 UK adults by facial-recognition provider Face Int found a more nuanced outlook. “It’s far too simplistic to say that people in London are for or against facial recognition,” said Face Int CEO Tony Kounnis, as his firm’s survey revealed that 66% of Londoners said facial-recognition technology is a step towards a surveillance society, and at least half surveyed expressed worry towards wrongful identification, concerns towards racial bias and how their faces are stored. Kounnis added: “Organisations deploying FRT need to be transparent about how the technology is used, clear about the safeguards in place and willing to recognise that people expect a consultation in how facial recognition is deployed.” Maria Theodoulou, partner at Stokoe Partnership Solicitors, echoed that increased use of LFR without safeguards in place could undermine public confidence in both policing and the rule of law: “The push for expanded facial recognition sits uneasily with the basic legal safeguards that are meant to govern state surveillance. “Misidentification, bias and opaque algorithms create real dangers, particularly when there are limited mechanisms to challenge or scrutinise decisions. Without enforceable oversight and consequences for non-compliance, facial recognition risks becoming another unchecked surveillance tool.” The Home Office outlined its plans to develop the use of AI and facial recognition in UK policing in January 2026. The plan included a record £140m investment funding towards PoliceAI over the next three years, a £26m investment into the development of a national facial-recognition system and £11.6m for LFR technology. The announcement came after a whitepaper by the government, which found that deployment of new technology varied across different police forces, leading to policing “radically under-utilising technology and data”. In Scotland , policing bodies are at least two years away from established statutory frameworks for the use of LFR. Scottish justice secretary, Neil Gray, said that Scotland will ensure that the police’s use of the technology is “lawful, effective, proportionate and grounded in respect for human rights”. Read more about facial recognition Essex Police halts live facial recognition over bias and accuracy risks : LFR deployments by Essex Police will not continue until risks associated with bias and inaccuracy have been reduced. How police live facial recognition subtly reconfigures suspicion : A growing body of research suggests that the use of live facial recognition is reshaping police perceptions of suspicion in ways that undermine supposed human-in-the-loop protections. Police facial recognition trials show little evidence of benefits : In-the-wild testing of police facial recognition systems has failed to generate clear evidence of the technology’s benefits, or to assess the full range of socio-technical impacts.
Score: 70🌐 MovesJun 24, 2026https://www.computerweekly.com/news/366645018/Met-pushes-ahead-with-major-facial-recognition-expansion - AI pause: the case for ASAP
I often hear people say they think we should pause AI at some point, but not yet. Their basis for this seems to be some combination of: If we pause at the last possible moment, then we will have the most advanced AI possible during the pause, which will be helpful for doing AI safety research during the pause Implicitly, there is some quantity of ‘pausing credit’, that will buy us a few months of pause say, and if we use them now, we won’t have them to use later, when it is important If we pause, and then AI doesn’t seem to be at dire risk of destroying the world, maybe the public will backlash against this and it will be harder to do any kind of AI safety (especially if it has major economic consequences) The models aren’t dangerous yet This all sounds very questionable to me. I suggest instead that the following are at least as likely to be true: We can’t pause on a dime at the precise second that ‘we’ decide it is important to—pulling the breaks will take a while, during which time we will continue to rocket into danger. If we managed to pause now, that would greatly increase the chance we paused again later. At the moment, a major obstacle to people supporting this is their senses that it is impossible. Building the machinery to pause makes it much easier to pause again. Doing something once is in general extremely helpful for doing it later times—if you are taking the most important action in the world, you really don’t want to be trying it for the first time, when it matters. The public substantially hates AI, but feels incredibly disempowered, because for instance they buy the story that technological ‘progress’ is inexorable. If they saw vividly how much power our institutions have to shape the course of technology, they would become more activated against AI. Some of the models seem to be some amount dangerous, we can’t tell how dangerous the new ones are, they are improving very fast, and the point where we are confident that they are currently dangerous is very suboptimally late to start this project. Discuss
Score: 70🌐 MovesJun 24, 2026https://www.lesswrong.com/posts/mEhS4wYTy9JXEpe9p/ai-pause-the-case-for-asap - Patients Have Spoken: 5 Hard Truths About Healthcare Patient Experience in the Age of AI
New global research from Salesforce reveals what patients really want from AI, and the gap between expectation and reality is wider than most providers think.
Score: 70🌐 MovesJun 24, 2026https://www.salesforce.com/blog/blog-healthcare-patient-experience-report-2026/ - Humanoid Global Expands Asia Strategy Through Strategic Partnership with Stellar Bridge Group
Humanoid Global Expands Asia Strategy Through Strategic Partnership with Stellar Bridge Group Toronto Star
- Zoom and BrightHire take on rising candidate fraud, including deepfake detection built into live interviews
Zoom and BrightHire take on rising candidate fraud, including deepfake detection built into live interviews
Score: 70🌐 MovesJun 24, 2026https://www.zoom.com/en/blog/zoom-and-brighthire-take-on-rising-candidate-fraud/ - AI is transforming entry-level work. How can companies redesign jobs to keep opportunity alive?
AI is putting entry-level work pathways under strain, raising the stakes for how organizations respond; some are doubling down on developing human roles.
- Nvidia’s banned AI chips double in price on China’s black market
US crackdown on illicit exports has made it riskier, harder and more expensive to buy tech giant’s processors
- Economic review wraps up with call for Singapore to adapt faster to AI-driven world
Economic review wraps up with call for Singapore to adapt faster to AI-driven world The Straits Times
- Three quarters of firms have halted AI projects over safety and security concerns – and cyber pros think things will deteriorate as models like Claude Mythos improve
Three quarters of firms have halted AI projects over safety and security concerns – and cyber pros think things will deteriorate as models like Claude Mythos improve IT Pro
- An AI startup is suing the US government for taking away Anthropic's new model
An AI startup is suing the US government for taking away Anthropic's new model Business Insider
Score: 69🌐 MovesJun 24, 2026https://www.businessinsider.com/legion-ai-startup-suing-us-government-new-anthropic-model-fable5-2026-6 - Are ChatGPT and other AI chatbots politically biased? We tested them.
Are ChatGPT and other AI chatbots politically biased? We tested them. The Washington Post
- Nvidia's Huang calls black market data centers made of smuggled parts a 'dead end'
Washington regulators and the Trump administration are increasingly wary of China getting ahold of advanced AI software and hardware.
Score: 68🌐 MovesJun 24, 2026https://www.cnbc.com/2026/06/24/nvidia-huang-data-center-smuggled-chips.html - Qualcomm in talks to provide custom chip-design services to ByteDance, sources say
Qualcomm in talks to provide custom chip-design services to ByteDance, sources say Reuters
- I Met With China’s Top AI Experts. They’re Freaking Out, Too
The AI arms race between China and the US has researchers on both sides worried about a “Chernobyl moment.”
- Meta forced thousands of engineers into AI training work. Now it's giving some a way out.
Meta forced thousands of engineers into AI training work. Now it's giving some a way out. Business Insider
Score: 68🌐 MovesJun 24, 2026https://www.businessinsider.com/meta-lets-engineers-leave-ai-training-unit-after-mass-reassignment-2026-6 - 'I have become greedier': SoftBank's Masayoshi Son bins AI bubble, says he will chase superintelligence into his 70s
The AI investment boom has driven up valuations even as investors question the sustainability of the rally, with SoftBank's share price boosted by Son's all-in bet on OpenAI.