AI News Archive: June 15, 2026 — Part 2
Sourced from 500+ daily AI sources, scored by relevance.
- Could data center growth halt by 2030? Report claims power demands may halt AI advances within the next few years
Gartner report indicates that the AI bottleneck might not be a silicon-based limit, but actual access to power by 2030.
- Investigation by The Atlantic reveals many millions of songs used for AI music training
Taylor Swift, Bad Bunny and many, many more artists have had their work fed into AI models.
- Samsung launches Galaxy Book6 Edge with Snapdragon X2 Elite and Galaxy AI features
Samsung has launched the Galaxy Book6 Edge with Qualcomm's Snapdragon X2 Elite chip, Galaxy AI features, and a lightweight design built for Copilot+ experiences.
- Apple Introduces Redesigned Siri AI
At its recent Worldwide Developers Conference, Apple introduced Siri AI, a redesigned version of its voice assistant that Apple describes in its own announcement as "a profoundly more capable and personal assistant." The update is intended to make Siri more conversational, more context-aware, and more useful across iPhone, iPad, Mac, Apple Watch, and Vision Pro.
Score: 75🌐 MovesJun 15, 2026https://campustechnology.com/articles/2026/06/15/apple-introduces-redesigned-siri-ai.aspx - Gartner Predicts AI Will Eliminate 50 Percent of These Management Roles by 2026. Here’s Why It’s Actually Good News
The prediction that’s making a lot of managers nervous is the wrong thing to panic about.
Score: 75🌐 MovesJun 15, 2026https://www.inc.com/dave-kerpen/gartner-prediction-ai-eliminate-management-roles/91360840 - Samsung turns to energy as AI power demand surges
Samsung turns to energy as AI power demand surges 매일경제
- Google Gemini smart glasses set for fall launch as Warby Parker and Gentle Monster challenge Meta
Powered by Gemini AI and deep Android integration, the new wearable devices aim to compete directly with Meta's popular Ray-Ban smart glasses.
- Baidu’s Apollo Go begins Swiss road tests With PostBus autonomous service
Baidu’s autonomous driving service Apollo Go, in partnership with Switzerland’s largest public transport operator PostBus, has begun road testing its driverless service AmiGo in Switzerland. The project is planned to achieve regular commercial operations by 2027. AmiGo will primarily serve underserved public transport areas in eastern Switzerland, including the Lake Constance region and the Alpine […]
Score: 75🌐 MovesJun 15, 2026https://technode.com/2026/06/15/baidus-apollo-go-begins-swiss-road-tests-with-postbus-autonomous-service/ - AMD Brings Data Center-Level AI to Personal Computers
AMD Brings Data Center-Level AI to Personal Computers YourStory.com
Score: 75🌐 MovesJun 15, 2026https://yourstory.com/ai-story/amd-brings-data-center-level-ai-to-personal-computers - Tensordyne Revives Logarithmic Math In A Bid To Cut AI Power Use
Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.
- Satya Nadella warns that AI could hollow out entire industries, echoing the damage done by globalization
Microsoft CEO Satya Nadella published a sweeping essay on Sunday laying out what he describes as the defining economic challenge of the AI era: the risk that a handful of frontier models will absorb the expertise of entire industries and commoditize it, leaving businesses stripped of their competitive moats. "The last thing any of us want is a world where every company across every sector is ceding value to a few models that eat everything they see," Nadella wrote in the piece, titled "A frontier without an ecosystem is not stable," which he posted on X. "If all the value is accrued by only a few models, the political economy will simply not tolerate it. There is no societal permission for an AI future that hollows out entire industries." The essay is unusually philosophical for a sitting CEO of a $3 trillion technology company. But it arrives at a moment when the theoretical risks Nadella describes are becoming tangible — and, critically, when Microsoft itself is grappling with the very dynamics he warns about. Nadella introduces "token capital" as the new currency of enterprise AI strategy At the center of Nadella's essay sits a conceptual framework built on two pillars he calls " human capital " and " token capital ." Human capital, he writes, "comprises the knowledge, judgment, relationships, ingenuity, and pattern recognition of its people," while token capital refers to "the firm's AI capability it builds and owns." The two are not in tension, he insists. "Importantly, human capital does not become less valuable as token capital grows. It only becomes more valuable!" he writes. "I believe human agency will be the driver of token capital growth. Humans will set ambitious goals, connect dots across domains, build relationships, and recognize patterns that matter most. Without human direction, you have compute running in circles." This framing is a deliberate counterweight to the narrative that AI will simply replace human workers or, at the enterprise level, dissolve the intellectual property that differentiates one company from another. Nadella is arguing that the real danger is not AI's capability but its tendency to centralize — and that the solution requires a fundamentally new architecture for how businesses interact with the technology. He describes the real opportunity as "not in picking the best model but instead in building a learning loop on top of models where human capital and token capital compound." The key test of a company's sovereignty in this new era, he writes, is whether it can "switch out a 'generalist' model without losing the 'company veteran' expertise built into their learning system." This is the essay's most actionable claim — and its most provocative. Nadella is telling enterprises they need to decouple their institutional intelligence from whatever frontier model they happen to be running, creating portable knowledge systems that survive vendor changes. Why Nadella is comparing AI concentration to the outsourcing crisis that gutted industrial economies Nadella draws a pointed historical parallel to make his warning concrete. "Think about what happened in the first phase of globalization where entire industrial economies were hollowed out by outsourcing," he writes. "The GDP numbers looked fine on the surface, but the displacement was real and the consequences are still being felt. Let us not bring that dynamic into the AI era, with a small number of AI systems capturing all the economic returns, while entire industries find their knowledge commoditized right out from underneath them." The globalization analogy is not accidental. It reframes the AI concentration debate from a narrow technology question into a political-economy argument — one that regulators, policymakers, and voters can grasp. By invoking the social costs of offshoring, Nadella is signaling that the stakes extend well beyond the enterprise technology stack. He is warning that if the AI industry fails to distribute value broadly, the political system will intervene to force the issue. "In my view, our priority has to be building a frontier ecosystem, not just a frontier model, so value flows broadly across every company, every industry, and every country," he writes. He grounds this in an older platform philosophy: "This is the ethos I've grown up with where platforms enable more value on top than is captured inside, and where every company can continuously innovate and build value of its own." It is a direct echo of the Windows-era argument, updated for the age of inference — and it carries a similarly self-interested subtext, given that Microsoft's cloud business sits squarely in that platform layer. Microsoft's own runaway AI costs reveal the gap between Nadella's vision and operational reality What makes Nadella's essay so striking is its timing. He published it on a day when Reuters reported that Microsoft shareholders filed a proposed class-action lawsuit in Seattle federal court, accusing the company of inflating its stock price by failing to disclose slowing growth in its Azure cloud business and the need to spend billions of dollars on AI infrastructure. The suit names Nadella and Chief Financial Officer Amy Hood among the defendants. As the Yahoo Finance report on the lawsuit noted, Microsoft allegedly "aggressively promoted its AI developments, specifically its 'Copilot' assistant and close financial alliance with ChatGPT creator OpenAI, to artificially boost investor optimism," while understating infrastructure strain and capital risks. Microsoft also reported $37.5 billion of capital spending in its second quarter, up nearly 66% from a year earlier and above the $34.3 billion that analysts projected. Microsoft's internal cost pressures around AI have surfaced in other concrete ways this year. The company is canceling the majority of its internal Claude Code licenses in its Experiences and Devices division, effective June 30, 2026. Monthly usage rates reached 84 to 95% by April 2026, and per-engineer API costs ranged between $500 and $2,000 monthly, according to Windows Forum . The cancellation came after Microsoft exhausted portions of its annual AI budget due to token-based billing, as Fortune had reported in May. The Claude Code episode illustrates, at the micro level, the exact dynamic Nadella describes at the macro level. When a company's AI usage is metered by the token — the fundamental unit of compute that powers model inference — the more productive the tool becomes, the more expensive it gets. The term "token capital" in Nadella's essay carries a double meaning: it refers both to a firm's proprietary AI capability and, implicitly, to the actual tokens consumed in running it. Building a learning loop that compounds is aspirational. Paying the bills for that loop is operational reality. Uber, Meta, and Amazon are all hitting the same AI spending wall — and it validates Nadella's warning Microsoft is not alone in this bind. Uber burned through its entire 2026 AI coding tools budget in just four months after incentivizing employees to adopt the technology through an internal leaderboard ranking teams by total AI tool usage. Uber has since instituted a monthly $1,500 cap per employee per agentic coding tool, according to TechCrunch . At Meta, an employee created a leaderboard called " Claudeonomics " to track which workers consumed the most AI tokens. Amazon, meanwhile, has pushed employees to " tokenmaxx " — use as many AI tokens as possible. The emerging pattern is clear: enterprises adopted AI coding tools aggressively, saw genuine productivity gains, and then discovered that the consumption-based economics of frontier models created budget crises that traditional software licensing never would have. Bryan Catanzaro, vice president of applied deep learning at Nvidia, captured the tension bluntly in an interview with Axios : "For my team, the cost of compute is far beyond the costs of the employees," he said. These cost dynamics land differently in the context of Nadella's essay. He prescribes a three-layer architecture — evaluation, reinforcement learning, and retrieval — designed to sit between a company's workforce and whatever frontier model it subscribes to. Companies, he argues, need to build "private evals" that "capture whether a model is actually improving against outcomes that matter to the business (not just external benchmarks!)," alongside "private reinforcement learning environments" that "let models grow stronger on real traces from inside the organization" and a knowledge base that "makes institutional memory queryable and use of tokens more efficient." He calls the resulting system "a hill climbing machine" that, "unlike most assets, it compounds." Other Big Tech CEOs are echoing Nadella's fears about AI models devouring enterprise knowledge Nadella's concerns do not exist in isolation. Other technology leaders have been raising similar warnings throughout 2026, though none have offered as prescriptive a response. Snowflake CEO Sridhar Ramaswamy warned in a February podcast that the biggest software companies risk being reduced to mere data sources. "The big model makers want to create a world in which all of the data for all of the enterprises is easily available to them," Ramaswamy said, describing everything else as "a dumb data pipe that feeds into that big brain." He added that Snowflake needs to operate with a "fear" that enterprises would abandon software-specific AI agents in favor of all-inclusive agents that hoover up data from everywhere. Box CEO Aaron Levie struck a similar note in a January LinkedIn post . AI models can now perform high-level knowledge work across nearly every profession, from law to strategy to scientific research, he argued. "The question that we will have to wrestle with is, in a world where everyone has access to the same expert intelligence, how does a company differentiate?" he wrote. The combined effect of these statements is a shared diagnosis from three very different corners of the enterprise technology market: the current trajectory of AI development threatens to collapse competitive differentiation across entire industries. Nadella's essay stands apart from the others because it moves beyond diagnosis and proposes a specific architectural remedy. But the prescription is impossible to separate from the prescriber's interests. Microsoft sits in precisely the platform layer that Nadella's framework would make indispensable — the company builds its own frontier models, operates the cloud infrastructure those models run on, and maintains deep partnerships with the leading independent AI labs. A world in which every enterprise builds a proprietary learning loop on top of commodity foundation models is, conveniently, a world in which Microsoft sells the picks and shovels to all of them. Nadella's Scout controversy and shareholder lawsuit reveal the tension inside Microsoft's own AI strategy The essay also arrives just ten days after Nadella publicly rebuked one of his own executives for outlining a plan to " make people addicted " to a new AI tool called Scout.. Microsoft corporate vice president Omar Shahine had written an internal memo describing a three-phase plan to transform Scout "from addictive app to agentic platform," with the first phase focused on features that "make people depend on it daily." Nadella responded on an internal message board: "This is absolutely a non-goal! If anything we are doing the exact opposite. We want to make sure AI empowers and adds real value to human endeavor and broad economic growth!" The Scout incident and Sunday's essay together suggest Nadella is actively constructing a public philosophy of AI that emphasizes broad value creation over extractive engagement — whether or not every corner of Microsoft has internalized that message. One anonymous Microsoft employee told 404 Media, as the Post reported, that the leaked Scout document was "very troubling," adding: "It feels like one of those 'saying the quiet part out loud' moments." For technical decision-makers evaluating Nadella's essay, the practical implications are significant. He is arguing that choosing an AI model matters less than building the learning infrastructure around it. He is arguing that the ability to swap models without losing institutional intelligence is the critical test of AI sovereignty. And he is warning that companies that fail to build these systems will find their expertise absorbed and commoditized by the models themselves. "You can offload a task, or even a job, but you can never offload your learning," Nadella writes. "The future of the firm is the ability to compound that learning across people and AI." The question Nadella's essay cannot answer is whether Microsoft will practice what its CEO preaches Whether Nadella's vision materializes depends on a question his essay carefully sidesteps: whether the platform providers who build and host the frontier ecosystem will resist the temptation to capture the value flowing through it. Nadella insists that "platforms enable more value on top than is captured inside." But Microsoft's own trajectory this year — the ballooning capital expenditures, the Claude Code budget crisis, the shareholder lawsuit alleging concealed costs, the internal memo about making users addicted — suggests the economics of restraint are harder than the philosophy of restraint. Nadella ends his essay with the claim that broad value distribution "is the stable equilibrium we should build together." He may be right. Ecosystems have historically outperformed walled gardens over long time horizons. But stable equilibria require every major player to forgo short-term extraction in favor of long-term compounding — and right now, the AI industry is burning through budgets in four months and spending 66% more on infrastructure than analysts expected. The CEO of the world's most valuable technology company has written an eloquent argument for why the AI economy needs to work differently. The open question is whether his own company's balance sheet will let him prove it.
- Google's Gemini 3.5 Live Translate Is Built for Real-Life Conversations
Gemini 3.5 Live Translate doesn't wait for one speaker to finish before generating a response.
Score: 74🌐 MovesJun 15, 2026https://www.cnet.com/tech/services-and-software/gemini-3-5-live-translation-real-time-multilingual-conversation/ - In Depth: China’s Humanoid Robot Boom Sparks Fears of Bruising Price Wars
In Depth: China’s Humanoid Robot Boom Sparks Fears of Bruising Price Wars Caixin Global
- Schneider Electric, Foxconn partner on AI data center infrastructure
Schneider Electric, Foxconn partner on AI data center infrastructure Reuters
- Watch: Washington, Anthropic, and the AI kill switch—can Europe actually build tech independence?
Washington has just reminded Europe who really holds the power in the age of artificial intelligence. For Europe, this is a long-overdue wake-up call. But will it actually wake up?
- Meta’s new ‘AI Mode’ on Facebook pulls from public info across its platforms
Meta announced Monday that it's rolling out a wave of new AI features on Facebook, the latest sign of the company's effort to catch up in the AI race and keep users more engaged on the platform.
Score: 74🌐 MovesJun 15, 2026https://techcrunch.com/2026/06/15/metas-new-ai-mode-on-facebook-pulls-from-public-info-across-its-platforms/ - Mark Zuckerberg Admits Meta ‘Made Mistakes’ as AI Reshapes 20% of Its Workforce
Mark Zuckerberg Admits Meta ‘Made Mistakes’ as AI Reshapes 20% of Its Workforce entrepreneur.com
Score: 73🌐 MovesJun 15, 2026https://www.entrepreneur.com/business-news/mark-zuckerberg-admits-meta-made-mistakes - Administration's AI security order acknowledges risks but stops short of regulating industry
Some technology and policy watchers were surprised when President Donald Trump signed an executive order on June 2, 2026, establishing a framework for AI security. It seemed to move in a different direction from a December 2025 executive order that sought to create a "minimally burdensome" national framework for artificial intelligence and supersede state laws the administration saw as restrictive.
Score: 73🌐 MovesJun 15, 2026https://techxplore.com/news/2026-06-administration-ai-acknowledges-short-industry.html - Oracle to train 300,000 professionals across Uttar Pradesh in AI, cloud, cybersecurity
Oracle is launching an impactful initiative alongside the Uttar Pradesh State Skill Development Mission! This strategic collaboration will offer invaluable training resources focusing on AI, cloud services, cybersecurity, and data science. By the year 2029, around 300,000 students and professionals are set to benefit from more than 300 hours of skill-building courses.
- Exclusive: Tencent Backs Former Alibaba Researcher’s New AI Lab
Exclusive: Tencent Backs Former Alibaba Researcher’s New AI Lab The Information
Score: 73💰 MoneyJun 15, 2026https://www.theinformation.com/briefings/exclusive-tencent-backs-former-alibaba-researchers-new-ai-lab - FBI dismantles Chinese phishing service that coached buyers to generate scam sites using AI —$88 cybercrime product linked to $1.9 billion in losses, 3.87 million stolen cards
The FBI, Google, and Lumen Technologies say they’ve dismantled a China-based phishing-as-a-service operation called Outsider Enterprise.
- Physical Neural Networks: A Survey (U. of Lübeck, TU Hamburg)
Researchers from the University of Lübeck and TU Hamburg published a technical paper titled “Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing.” Abstract: “Physical implementations of neural computation now extend far beyond silicon hardware, encompassing substrates such as memristive devices, photonic circuits, mechanical metamaterials, microfluidic networks, chemical reaction systems, and living neural tissue.... » read more The post Physical Neural Networks: A Survey (U. of Lübeck, TU Hamburg) appeared first on Semiconductor Engineering .
Score: 72🌐 MovesJun 15, 2026https://semiengineering.com/physical-neural-networks-a-survey-u-of-lubeck-tu-hamburg/ - Geneva G7 counter-summit debates perils of AI
Critics of the G7 met for a counter-summit over the weekend to talk about artificial intelligence (AI) and inequality. +Get the most important news from Switzerland in your inbox Protests and riots marked the weekend in Geneva as opponents of the G7 summit in Évian-les-Bains, France, made themselves heard. The counter-summit organised by G7 critics received little attention in the process. Left-wing activists, trade unionists, academics, and politicians met in conference halls for panel discussions and debates. The focus was often on the impact of AI on everyday life. In a packed hall, everything revolved around the US technology company Palantir and its business model. The company collects and analyzes huge amounts of data about citizens to sell this information to governments, armies and intelligence services for surveillance purposes. In another room, Cédric Durand, professor of economics at the University of Geneva, spoke about the impact of AI on the world of work. He analyses ...
- Samsung Electro-Mechanics completes AI chip power trio
Samsung Electro-Mechanics completes AI chip power trio 매일경제
- Marvell details vision of optically-interconnected data centers spanning across thousands of kilometers — new interconnects sampling later this year would allow CSPs to pool resources based on workload
Marvell shares its vision for optically connected data centers, connecting devices across hundreds of kilometers, and the company already has hardware to build them.
- Pretrained to Imagine, Fine-Tuned to Act: The Rise of World-Action Models
Quick glossary for readers new to VLA/WAM terminology VLA Vision-Language-Action model: a robot policy that starts from a pretrained VLM backbone and adapts it...
Score: 72🤖 ModelsJun 15, 2026https://developer.nvidia.com/blog/pretrained-to-imagine-fine-tuned-to-act-the-rise-of-world-action-models/ - AI Deepfakes Are Getting Weirder and Harder to Spot in the Midterms
A wave of fake videos and ads is fueling worries about misinformation.
- Copilot 'SearchLeak' Attack Allows 1-Click Data Theft
The critical, three-stage attack is now patched, but it's part of a new group of AI prompt-injection issues that use hidden URLs and other variables.
Score: 72🌐 MovesJun 15, 2026https://www.darkreading.com/application-security/copilot-searchleak-attack-1-click-data-theft - Meta is testing smart glass facial recognition tech that’s also used by police and military: Report
An investigative report reveals that Meta licensed face recognition from Rank One, a Pentagon contractor, and built a system called NameTag into an app on 50 million phones before deleting it.
- Researchers propose 'copyleft' rules for generative AI
The rise of generative artificial intelligence (AI) poses challenges for the free and open-source software (FOSS) community, a global network committed to creating and maintaining publicly available software that anyone can use, modify and share. Many AI models have been built on open-source software but do not reciprocate the transparency that the FOSS community's principles require, leaving open-source developers uncertain about how these AI tools are using their code.
- How AI Companies Can Pay Fair Rates for the Content They Need
A new framework for how big tech and the creator economy can come to a mutually beneficial arrangement.
Score: 71🌐 MovesJun 15, 2026https://hbr.org/2026/06/how-ai-companies-can-pay-fair-rates-for-the-content-they-need - Import AI 461: "Alignment is not on track"; FrontierCode; and synthetic research interns
Where are your agents right now?
- Rivian CEO says supervised point-to-point self-driving will arrive this year, and he’s comparing it directly to Tesla’s FSD
Rivian CEO RJ Scaringe said the company will ship supervised point-to-point self-driving on all of its second-generation vehicles and the R2 later this year, describing the capability as “very similar to Tesla’s FSD.” Speaking at the Masters of Scale event in Anaheim on Thursday, Scaringe laid out a three-stage autonomy roadmap: supervised point-to-point driving in […] This story continues at The Next Web
Score: 70🌐 MovesJun 15, 2026https://thenextweb.com/news/rivian-point-to-point-self-driving-tesla-fsd-scaringe-uber-robotaxi - AI turns coders, lawyers and analysts into ghosts of London’s past
AI turns coders, lawyers and analysts into ghosts of London’s past The Straits Times
- How a 90-minute White House deadline sparked Silicon Valley’s biggest AI fight
How a 90-minute White House deadline sparked Silicon Valley’s biggest AI fight The Washington Post
- Korea's AI ambitions run into power problem
South Korea's bid to stay competitive in artificial intelligence is running into a constraint that cannot be solved by chips alone: electricity. As the US and China pour hundreds of billions of dollars into AI infrastructure, experts say Korea's biggest challenge is no longer securing Nvidia GPUs but ensuring it has enough power, grid capacity and suitable sites to run the data centers those chips require. The pressure is mounting as the world's largest economies accelerate investment in AI infr
- World leaders support US-Iran deal, Israel strikes Beirut and UAE launches AI authority
World leaders support US-Iran deal, Israel strikes Beirut and UAE launches AI authority The National
- AI is creating a 'two-track' labor market, with better pay for human-intensive skills
AI is creating a 'two-track' labor market, with better pay for human-intensive skills IT Pro
- AI use by the US government is ballooning. And the lack of transparency is troubling | Nathan E Sanders and Bruce Schneier
The list of government AI use cases has ballooned by 70% since Biden left office and includes many plans to hand over sensitive governmental functions to AI On 14 April, the Trump administration quietly acknowledged the widespread use of AI to automate government processes. The office of management and budget (OMB) disclosed a staggering 3,611 active or planned use cases for AI across the federal government. The list has ballooned by 70% from the one published in the final year of the Biden administration, and includes many disturbing-seeming plans to hand over sensitive governmental functions to AI. Scanning this list, many readers may find many causes for alarm. It represents a transfer of decision processes from human to machine on a massive scale over matters of individual freedom, public health and wellbeing, nuclear reactor safety and more. Nathan E Sanders is a data scientist affiliated with the Berkman Klein Center of Harvard University and co-author, with Bruce Schneier, of the book Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship. Bruce Schneier is a security technologist who teaches at the Harvard Kennedy School at Harvard University and University of Toronto’s Munk School Continue reading...
- Cohere triples UK footprint with new London office to support R&D growth
Cohere opens new London office to support R&D growth in AI
Score: 70🌐 MovesJun 15, 2026https://cohere.com/blog/cohere-triples-uk-footprint-with-new-london-office-to-support-r-and-d-growth - Apple supplier Jabil, Adani partner to build AI data center infra platform in India
Apple supplier Jabil, Adani partner to build AI data center infra platform in India Reuters
- What happens when ChatGPT can shop for you? Inside Visa and OpenAI's AI commerce vision
Visa's partnership with OpenAI could mark the beginning of a new phase in digital commerce, where AI assistants move beyond product recommendations to actively participate in transactions. As intelligent agents become more involved in purchasing decisions, businesses may need to rethink how products are marketed, discovered, and evaluated in an increasingly AI-driven marketplace.
- How Samsung is laying the foundation for the next generation AI
Samsung's next-gen AI foundation
Score: 70🌐 MovesJun 15, 2026https://ioplus.nl/en/posts/how-samsung-is-laying-the-foundation-for-the-next-generation-ai - AI Is Changing How Consultants Get Paid—and Much More, BCG’s CEO Says
AI Is Changing How Consultants Get Paid—and Much More, BCG’s CEO Says Boston Consulting Group
Score: 70🌐 MovesJun 15, 2026https://www.bcg.com/about/expertise/ai-changing-consulting-and-pricing-models - Cybersecurity Experts Are Baffled by Trump’s Ban of Anthropic’s New AI Models
The quarrel between the federal government and the startup behind Fable and Mythos thickened over the weekend.
Score: 70🌐 MovesJun 15, 2026https://gizmodo.com/cybersecurity-experts-are-baffled-by-trumps-ban-of-anthropics-new-ai-models-2000771976 - Macron’s G7 legacy hangs on fickle AI funding and data centers
Macron’s G7 legacy hangs on fickle AI funding and data centers The Japan Times
Score: 70🌐 MovesJun 15, 2026https://www.japantimes.co.jp/business/2026/06/15/tech/macron-g7-legacy-ai-data-centers/ - A Top xAI Engineer Warned Elon Musk About Grok’s Biases. 3 Days Later, He Was Fired
Devin Kim identified political biases and differing treatment of racial groups in the chatbot’s responses. He claims the discovery resulted in his termination.
- A network of X accounts is boosting AI nudify tools, raising hell for victims
Coordinated X accounts are helping AI nudify apps reach more users, researchers say, as services like Undress AI add paid video tools and referral credits while victims struggle to contain the damage.
- Big Tech’s desperate last push at AI regulation
For months, Big Tech's Washington lobbyists have chased after the holy grail of pro-AI legislation: preemption. This would be a comprehensive federal law, passed in Congress and signed by the president, applying one set of AI rules across the entire country and overriding the legally messy state-by-state approach to regulation. For months, lobbyists have run […]
Score: 70🌐 MovesJun 15, 2026https://www.theverge.com/policy/949970/ai-regulation-child-safety-kosa-congress - Seagate plans 64,500-square-foot expansion at Bloomington campus amid AI demand
Seagate Technology will nearly triple wafer fabrication capacity at its Bloomington campus with a 64,500-square-foot expansion driven by AI demand.