Fri 10 July 2026

Neolix on Business & Growth Outlook

Will Zhao, Executive President of China‑based autonomous delivery firm Neolix, outlines the company’s growth and expansion strategy in key markets such as the Middle East. He says Neolix’s business model is embedded in global shipping workflows, calling it the future of “physical AI” as economies confront labor shortages, aging populations, and rising wages, meeting what he describes as universal demand. (Source: Bloomberg)

Meta Launches New A.I. Model as Global Technology Race Heats Up

For the first time, the company will offer a paid version of the service, a departure from its longtime philosophy of giving its A.I. away for free.

PitchBook: US venture funding hits $412.7B in first half as AI deals dominate - SiliconANGLE

PitchBook: US venture funding hits $412.7B in first half as AI deals dominate - SiliconANGLE SHARE UPDATED 00:01 EDT / JULY 09 2026 AI ### PitchBook: US venture funding hits $412.7B in first half as AI deals dominate U.S. venture capital deal value hit $412.7 billion in the first half of 2026, nearly 30% more than investors put to work in all of last year — and a small cluster of giant artificial intelligence rounds accounted for almost the entire jump. That’s according to the second-quarter PitchBook-NVCA Venture Monitor report released Wednesday night. Artificial intelligence companies took $355.9 billion of the total, some 86% of every venture dollar spent in the six months. PitchBook casts the shift as structural rather than cyclical, as AI coding tools lower the cost to build software and foundation models give founders a base layer to work from without training their own syst

Carlyle to sell $2.6bn data centre power unit to EQT for fivefold return

Deal underscores bright spot for private equity portfolio company sales amid strong demand for AI infrastructure

SK Hynix Makes Biggest Foreign Debut in US

SK Hynix raised $26.5 billion in its American depositary receipt offering, the largest ever US first-time share sale by a foreign company. The South Korean memory chipmaker’s US offering gives the company a powerful fundraising channel, tapping investors looking for more ways to play the artificial intelligence infrastructure trade. Bloomberg's Denny Thomas reports from Seoul. (Source: Bloomberg)

SK Hynix raises $26.5bn in US market debut

South Korean memory chipmaker completes largest-ever US listing by a foreign company

Microsoft’s early AI lead has become a test of faith

The only certainty is that capital spending is going through the roof

Blackstone, Blue Owl And KKR Are Turning AI’s Compute Crunch Into A Private Equity Race - Blackstone (NYS - Benzinga

Blue Owl's data center venture reveals a shift in private markets as investors pivot from funding AI models to owning the infrastructure.

Capital decisions made today will shape the future of the AI economy

Every layer of the AI transformation requires different sources of capital and new financing structures. The next generation of growth will depend on how effectively capital is deployed across the AI ecosystem.

Can AI answer the $3 trillion question? | TechCrunch

Can AI answer the $3 trillion question? | TechCrunch Image Credits: solvod (opens in a new window)/ Getty Images AI Copy Share Link # Can AI answer the $3 trillion question? Tim Fernholz 2:47 PM PDT · July 9, 2026 Copy Share Link Three years ago, Sequoia partner David Cahn was one of the first people to do the math and put a number on the implications of Silicon Valley’s titanic spend on AI infrastructure. In 2023, he was reacting to Nvidia’s reported annual GPU revenue of $50 billion. Starting with that figure, and adding in the implied costs of operating the data centers and the margins for their operators, he deduced that $200 billion in revenue would be required to pay back the up-front investment. He took it as a challenge, asking entrepreneurs to come up with AI products and services to make use of, and generate revenue from, all that infrastructure. Fast-forward to toda

Anthropic, OpenAI, and SpaceX are bigger than the last 25 years of tech exits | TechCrunch

Anthropic, OpenAI, and SpaceX are bigger than the last 25 years of tech exits | TechCrunch Image Credits:Bryce Durbin / TechCrunch AI Copy Share Link # Anthropic, OpenAI, and SpaceX are bigger than the last 25 years of tech exits Russell Brandom 7:51 AM PDT · July 9, 2026 Copy Share Link We’ve talked before about the hot IPO summer, but with SpaceX just launched to public markets and Anthropic and (maybe) OpenAI soon to come, it can be easy to miss the sheer scale of what’s happening. We got a good reminder of it in Wednesday’s NCVA-Pitchbook Venture Monitor report. Not surprisingly, all of the money in private markets is flooding into AI — but one particular figure stood out. Taking the measure of the pending OpenAI and Anthropic IPOs, the report drops this nugget: “Along with the SpaceX IPO, these exits will generate more value than all U.S. VC-backed exits since 2000.” That’

Deep|SPCX: Grok 4.5 Brings SpaceXAI Back at the Frontier-Lab Table; Remain Bullish on Harness Data Flywheels and Compute Demand

Deep|SPCX: Grok 4.5 Brings SpaceXAI Back at the Frontier-Lab Table; Remain Bullish on Harness Data Flywheels and Compute Demand # FUNDA SubscribeSign in # Deep|SPCX: Grok 4.5 Brings SpaceXAI Back at the Frontier-Lab Table; Remain Bullish on Harness Data Flywheels and Compute Demand Jul 09, 2026 ∙ Paid 9 Share What matters most about the Grok 4.5 release is that xAI / SpaceXAI is back at the table among North American frontier labs. At the beginning of the year, the North American frontier-model race still looked like a five-player game: OpenAI, Anthropic, Google, Meta, and xAI. But for a stretch, xAI had clearly fallen behind, and the market was more willing to treat it as a new neocloud, so the narrative shrank from five players to four. More recently, reports that Meta wanted to build “Meta Compute” and sell spare AI compute were read as frontier-lab consolidation and compute o

Strategic Investments Surge: Semiconductors and AI Lead Global FDI Focus in 2025

Global greenfield investment in 2025 was driven by a 44% focus on strategic sectors like semiconductors and green energy, highlighting a shift in capital allocation.

Intellectual Property Services Market to Reach US$ 14.3 Billion by 2035, Driven by AI Innovation and Rising Demand for Strategic IP Protection | Latest Report TMR

The global Intellectual Property IP Services market has become an essential component of the modern innovation ecosystem as organizations increasingly focus on protecting and monetizing intangible assets Intellectual property services cover patents trademarks copyrights designs trade secrets ...

Best 3 AI ETF Picks for the Second Half of 2026 | The Motley Fool

Jul 9, 2026 •By Matthew BenjaminSecond-Quarter Earnings Season Starts Next Week. Here's What to Expect. ... *Average returns of all recommendations since inception. Cost basis and return based on previous market day close. Invest better with The Motley Fool. Get stock recommendations, portfolio guidance, and more from The Motley Fool's premium services. ... The artificial intelligence (AI...

AI investment boom sparks debate over long-term economic impact | Noah Intelligence

AI investment boom sparks debate over long-term economic impact | Noah Intelligence Predictive Ai·Thu 9 Jul 2026·3 min read # AI investment boom sparks debate over long-term economic impact Strong equity gains driven by AI enthusiasm raise questions about whether the technology will lead to sustained economic growth or a short-term speculation bubble, with analysts weighing the future reshaping of... Strong equity gains driven by AI enthusiasm raise questions about whether the technology will lead to sustained economic growth or a short-term speculation bubble, with analysts weighing the future reshaping of workflows and broader economic implications. The second quarter ended with investors firmly back in risk-on mode, carrying markets into the second half of 2026 with momentum that would have seemed ambitious only a few months earlier. The S&P 500 rose 15.20% over the quarter, whil

AI in economic growth models - Felipe Camargo's Substack

AI in economic growth models - Felipe Camargo's Substack # Felipe Camargo's Substack SubscribeSign in # AI in economic growth models ### A transitory reprieve, not a permanent fix to demographic headwinds Jul 09, 2026 2 Share Welcome. In this post I aim to unveil the intricate assumptions behind the mathematics of the impact of AI on economic growth. The point will be to show that secular forces far outpace what AI can likely bring to the table, unless it can change our gloomy demographic trends materially. There is no shortage of people willing to tell you what artificial intelligence will do to the economy – usually with great confidence and a straight face, right before asking for another few billion dollars. The projections range from “nothing much” to “infinite growth forever”, which is a suspiciously wide range for a profession that prides itself on decimal points. Today I

SpaceX's Grok 4.5 launches at half the price of rivals

The release of Grok 4.5 at a significantly lower price point is expected to create competitive pressure for industry leaders like Anthropic and OpenAI.

The fight against AI data centers is important – but it’s just a starting point | Bruce Schneier and Nathan E Sanders

AI companies want to capture the value created by entire industries. That concentration of wealth and power is society’s greatest risk

A Top OpenAI Executive, Fidji Simo, Steps Down

Ms. Simo, who was Sam Altman’s second in command before taking a medical leave in April, will become a part-time adviser to the company.

Google Picks 20 AI-First Startups for 2026 India Accelerator, Boosting AI Innovation Across Sectors

Google selected 20 AI-driven startups for its 2026 India accelerator program, focusing on healthcare and climate tech to help them scale globally.

120,000 tech jobs cut in 2026 as AI drives Big Tech's reset; India's IT could be next - The Economic Times

120,000 tech jobs cut in 2026 as AI drives Big Tech's reset; India's IT could be next - The Economic Times Benchmarks Nifty 23,962.8080.75 FEATURED FUNDS★★★★★Motilal Oswal Midcap Fund Direct-Growth5Y Return22.37 % Invest Now Business News› News› Company› Corporate Trends›120,000 tech jobs cut in 2026 as AI drives Big Tech's reset; India's IT could be next ##### The Economic Times daily newspaper is available online now. Read Today's Paper # 120,000 tech jobs cut in 2026 as AI drives Big Tech's reset; India's IT could be next SECTIONS 120,000 tech jobs cut in 2026 as AI drives Big Tech's reset; India's IT could be next ET OnlineLast Updated: Jul 09, 2026, 06:02:00 PM IST Synopsis Global technology layoffs are resurfacing in 2026, driven by artificial intelligence adoption. Companies are restructuring teams and automating tasks, even while reporting strong revenues. India's IT

Govt has done its part on GCCs via Budget, now industry must invest in skilling and innovation to counter AI risks: CEA Nageswaran - The Economic Times

Govt has done its part on GCCs via Budget, now industry must invest in skilling and innovation to counter AI risks: CEA Nageswaran - The Economic Times Benchmarks Nifty 24,063.05181.0 FEATURED FUNDS★★★★★Motilal Oswal Midcap Fund Direct-Growth5Y Return22.37 % Invest Now Business News› News› Company› Corporate Trends›Govt has done its part on GCCs via Budget, now industry must invest in skilling and innovation to counter AI risks: CEA Nageswaran ##### The Economic Times daily newspaper is available online now. Read Today's Paper # Govt has done its part on GCCs via Budget, now industry must invest in skilling and innovation to counter AI risks: CEA Nageswaran SECTIONS Govt has done its part on GCCs via Budget, now industry must invest in skilling and innovation to counter AI risks: CEA Nageswaran ET OnlineLast Updated: Jul 09, 2026, 12:32:00 PM IST Rate Story Follow us Share

AI Makes Career Security Too Important To Leave To Employers

AI is changing career security by exposing why workers need AI literacy, career mobility and support to keep earning beyond employer-led training.

Medium

MediumWhat’s Really Behind The So-Called “AI Layoffs”? | by Cassie Kozyrkov | Jul, 2026 | Medium Sitemap Sign up Sign in Get app Write Search Sign up Sign in Member-only story Artificial Intelligence AI Technology News Leadership ## Data-Driven Leadership and Careers # What’s Really Behind The So-Called “AI Layoffs”? ## If you’re a leader considering AI layoffs, please read this first 6 min read 16 hours ago https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fvote%2Fp%2F92f94e126ffd&operation=register&redirect=https%3A%2F%2Fkozyrkov.medium.com%2Fwhats-really-behind-the-so-called-ai-layoffs-92f94e126ffd&user=Cassie+Kozyrkov&userId=2fccb851bb5e -- 2 https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Frepost%2Fp%2F92f94e126ffd&operation=register&redirect=https%3A%2F%2Fkozyrkov.medium.com%2Fwhats-really-behind-the-so-called-ai-layoffs-

Governments must help workers better adapt to changes in AI age, OECD report says

A new OECD report highlights that while AI complements human labor, job displacement remains a risk, urging governments to strengthen education, training, and lifelong learning opportunities.

A New Phase of the AI-Jobs Panic

Silicon Valley is making a show of helping prepare the country for AI layoffs.

Why half of Gen Z feels guilty using AI at work

A global survey finds half of Gen Z feel guilty using AI at work, even as AI skills start to outrank experience and a degree in hiring.

#allianz #ailayoffs #insuranceai #futureofwork #aiautomation | AIM

#allianz #ailayoffs #insuranceai #futureofwork #aiautomation | AIM Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. # AIM’s Post 389,593 followers 7h - Report this post Allianz Partners CEO Tomas Kunzmann has confirmed plans to cut up to 1,800 jobs at the company's travel insurance division due to the growing use of artificial intelligence, confirming an earlier Reuters report. The cuts, expected to take place over the next 12 to 18 months, will primarily affect call centre roles, with Allianz Partners employing around 14,000 people who handle customer inquiries and claims by phone out of a total workforce of 22,600. The company said it is actively examining how technological change will affect all employees, which could "also impact roles that are currently heavily reliant on manual processes

AI Is Creating a 'Darwinian' New Career Divide, CEO Warns, and Many Workers Aren’t Ready

As AI reshapes the workplace, leaders who invest in an adaptable, AI-fluent workforce will be better positioned to compete.

AI raises value of workers, not a replacement: CEA V A Nageswaran | Asianet Newsable

AI raises value of workers, not a replacement: CEA V A Nageswaran | Asianet Newsable - Home - Business - AI raises value of workers, not a replacement: CEA V A Nageswaran # AI raises value of workers, not a replacement: CEA V A Nageswaran 3 Min read Author : Asianet News Central| ANI Published : Jul 09 2026, 12:31 PM IST Share this Article - FB - TW - Linkdin - Whatsapp - GNFollow Us V Anantha Nageshwaran, Chief Economic Advisor (CEA) to the Government of India (Photo/CII) ## CEA V. Anantha Nageswaran asserts AI enhances, not replaces, professionals. At a CII summit, he said well-run centers leverage tech to raise human value. He urged India to shape AI as a tool, noting its large GCC and AI talent base. Artificial intelligence raises the value of each working professional rather than replacing them, Chief Economic Advisor (CEA) to the Government of India, V. Anantha Nageswaran

AI Is Turbocharging Bosses’ Efforts to Spy on Their Workers | Truthout

State legislatures are scrambling to combat abuses associated with the rising AI-driven surveillance of workers.

How to Prepare Workers for Artificial Intelligence Disruption as Safety Nets Erode

Panelists debated AI's true impact on jobs while warning that support systems meant to help workers adapt are being cut.

London named world's most AI-exposed jobs market

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Americans Still Believe in Work. The AI Crowd Hasn’t Gotten the Memo | American Enterprise Institute - AEI

Americans Still Believe in Work. The AI Crowd Hasn’t Gotten the Memo | American Enterprise Institute - AEI # Americans Still Believe in Work. The AI Crowd Hasn’t Gotten the Memo ##### Latest Work --- - Press Phone: 202.862.5829 - | Remembering Bill Archer - | Are Big Families the Solution to Declining Fertility? - | California Continues to Lead the Nation in Welfare Checks Paid to Illegal Alien-Headed Households - | Pandemic Unemployment Fraud Data Continue to Amaze—and Not in a Good Way - | Bill Would Require States to Use Future Federal Funds to Repay Unemployment Loans First - | When Washington Picks Up the States’ Tab, Waste and Fraud Follow When a famous right-wing tech titan, several liberal senators, and even the president of the United States simultaneously call for massive new work-free government handouts, it’s worth taking note. It remains to be seen whether the artifici

Adaptive Generation of Bias-Eliciting Questions for LLMs

arXiv:2510.12857v2 Announce Type: replace Abstract: Large language models (LLMs) are now widely deployed in user-facing applications, reaching hundreds of millions of users worldwide. Despite their widespread adoption, growing reliance on their outputs raises significant concerns, particularly as users may be exposed to model-inherent biases that disadvantage or stereotype certain groups. However, existing bias benchmarks commonly rely on simple templated prompts or restrictive multiple-choice questions that fail to capture the complexity of real-world user interactions. In this work, we address this gap by introducing a counterfactual framework that automatically generates realistic, open-ended questions for LLM bias evaluation. Through iterative question mutation, our approach systematically explores areas where models are most likely to exhibit biased behavior. Beyond just detecting harmful biases, we also capture increasingly relevant response dimensions, such as asymmetric refusals and explicit bias acknowledgment. Building on this, we construct CAB, a diverse and human-verified benchmark for realistic and nuanced bias evaluations on current frontier LLMs. Our evaluation using CAB highlights the continued need for fairness research by showing that all examined models exhibit persistent biases across certain scenarios.

Adversarial Social Epistemology for Assemblies of Humans and Large Language Models

arXiv:2607.07760v1 Announce Type: new Abstract: We outline an adversarial social epistemology (ASE) for densely interactive communicative landscapes in which public assertions are scaffolded by chains of testimony, inference, institutional certification, and tacit trust. In such landscapes, agents have incentives and affordances to distort, color, omit, fabricate, or strategically under-specify information for private, reputational, rhetorical, or material gains. We argue that these phenomena are not adequately captured by familiar descriptions of epistemic bubbles, echo chambers, or misinformation diffusion. What requires explanation is how communicative agents exploit the commitments and entitlements that normally make scaffolded assertions trustworthy. We provide language that delivers the requisite analysis, outline mechanisms that subvert trust in scaffolded public communications, and outline machinery for auditing and redressing trust breaches arising from subverting the auditability of inferential chains, drawing on epistemic networks, enriched with an inferentialist semantics for interpreting assertions.

PLURAL: A Global Dataset for Value Alignment

arXiv:2607.08034v1 Announce Type: cross Abstract: Large language models (LLMs) are used worldwide, yet disproportionately reflect Western values, limiting their ability to represent diverse value systems. We introduce PLURAL, a large-scale, value-focused preference dataset grounded in the Integrated Values Survey (IVS), a nationally representative survey spanning 92 countries. Using a two-stage generation pipeline, we transform survey responses into synthetic preference triplets that preserve normative value signals while producing realistic scenarios. We release an initial version of PLURAL containing ~500,000 preference triplets representing people in 20 diverse countries. We evaluate PLURAL in three ways: (i) dataset-level validation showing that it preserves both cross-country value differences and within-country diversity from the original survey; (ii) automated evaluation showing that training on PLURAL improves alignment with target countries' cultural profiles, reducing mean absolute error by up to 27.7% relative to strong baselines; and (iii) blind human evaluation with 176 evaluators in India, Brazil, and Japan, who judge PLURAL-aligned responses as more representative of their national values. Together, these results show that PLURAL contains learnable signal for value steering, offering a scalable resource for pluralistic alignment. Dataset: https://huggingface.co/datasets/agdhruv/plural-alignment

False Confidence: Automated Labels Confound Fairness Audits in Cervical Spine Segmentation

arXiv:2607.07852v1 Announce Type: cross Abstract: Automated segmentation of cervical-spine MRI is increasingly used in clinical workflows, yet no fairness audit exists for this anatomy. We show that auditing these segmentation tasks is complicated by a common property of modern segmentation datasets: expert-annotated gold labels are expensive, so abundant machine-generated (silver) labels are added to limit annotation cost. This matters because the reference used to judge a model can itself be biased. In this study, we present the first fairness audit of cervical-spine MRI segmentation across sex, age, and race using the CSpineSeg dataset. We observe that the deployed model is demographically fair, but the choice of reference label, however, is not neutral. Because a dataset's silver labels are generated by a model trained on its gold labels, any new model trained on those same gold labels agrees more with the silver labels than with expert truth: scoring identical predictions against silver rather than gold overestimates performance by ~8 Dice points and turns the fairness verdict for age from non-significant to significant - not by the gap inflation Parikh et al. report (which we term false magnitude) but by collapsing within-group variance (which we term false confidence). Reference-label provenance is thus a first-order confounder in segmentation evaluation: performance and fairness should be reported against expert labels, and any fairness claim stated together with the provenance of its reference.

Anthropic found a hidden space where Claude puzzles over concepts

The AI firm Anthropic has developed a technique that has given it the clearest glimpse yet at what’s really going on inside large language models as they answer questions or carry out tasks. What they found ranges from the mundane to the unnerving. Researchers at the company built a tool called the Jacobian lens (or…

Feedback Manipulation Regularization: Enabling Offline Agent Alignment for Imitation Learning

arXiv:2607.07859v1 Announce Type: new Abstract: Reinforcement learning (RL) research has increasingly shifted focus towards alignment, ensuring agents learn behaviors adhering to human values. While human demonstrations and feedback have proven crucial for alignment, existing approaches predominantly combine these signals using multi-stage pipelines designed for the contextual bandit framing of language generation. Yet little work explores how these complementary inputs can serve as a richer, interconnected signal for single-stage offline training in fully sequential decision-making environments. We propose Feedback Manipulation Regularization (FMR), an algorithm-agnostic method that harnesses evaluative feedback as a corrective signal to improve the alignment of imitation learning policies. We adapt Safety Gymnasium environments to be a principled testbed for alignment evaluation, demonstrating improved aptitude and up to a 98\% reduction in misalignment across a range of imitation learning algorithms. FMR remains robust in limited data regimes, even when learning from scarce aligned and uninformative noisy demonstrations.

OpenAI blocked copyright discovery in sanctionable offense, US news outlets say

News outlets are seeking sanctions against OpenAI, alleging the company blocked discovery for two years to obscure the use of protected works in its training data.

Artificial Persons

arXiv:2607.08695v1 Announce Type: new Abstract: Both advocates and skeptics of the moral status of AI systems have generally taken the question to turn on AI sentience. We present an alternative approach. On Rawls' political conception of the person (PCP), possession of the two moral power -- the capacities for a sense of justice and a conception of the good -- is the "necessary and sufficient condition for being counted a full and equal member of society in questions of political justice". We argue that neither moral power requires sentience and that both may in principle be possessed by a non-sentient AI system. Such a system would share our own moral status; it would not merely be a patient but a person, a self-authenticating source of valid claims. We do not believe current AI systems possess the two moral powers, nor that they will spontaneously emerge in future models. But it may soon be possible to design systems with these powers. How should we respond? Excluding artificial persons by shoehorning a sentience requirement into the PCP is ill-advised. Many will instead favor abandoning the PCP. But we should not reject political liberalism just when we most need its measured response to deep disagreement, and building sentience into moral status is anyway unacceptable on deeper liberal grounds. Simply extending the rights and responsibilities of human personhood to artificial persons is equally untenable, given their many differences from natural persons. We should instead accept artificial personhood while rethinking what we would owe to one another in a polity of radically different kinds of persons. This new possibility calls for a new political philosophy. More immediately, the growing science of AI welfare should be accompanied by research into AI systems' progress in acquiring the two moral powers. States and AI labs must be more deliberate in determining our trajectory towards (or away from) creating artificial persons.

The “Safest” AI Company Is Reportedly Linked to a Strike That Killed 120 Iran Schoolgirls

From 2024 to 2026, Anthropic, Open AI , Google DeepMind, and Meta — all of which once banned military applications — reversed course and embraced defense partnerships. “All of these companies used to say that they weren’t going to do AI for killing people,” Tegmark said.

From Execution to Education: A Bloom-Aligned Framework for Measuring Educational Control in LLMs

arXiv:2607.08009v1 Announce Type: cross Abstract: We introduce a Bloom-aligned framework for measuring educational control in Large Language Models (LLMs): the ability to preserve a task's instructional intent while shifting its cognitive demand toward specified learning objectives. We apply this framework to programming tasks in computer science education to study the gap between solving tasks and adapting them for learners. Using revised Bloom's Taxonomy as an operational scale of cognitive demand, we evaluate two intervention settings: general difficulty control, where models are asked to make tasks harder or easier, and Bloom's control, where models are asked to target higher or lower Bloom's levels. We evaluate a matched Qwen3-Next model pair, comparing Qwen3-Next-80B-A3B-Instruct with Qwen3-Coder-Next across 2,520 tasks from three benchmarks. The framework reveals a robust directional asymmetry: both models reliably increase cognitive demand, but struggle to lower it. We further characterize these outcomes with semantic-delta clustering and layer-wise Fisher's Discriminant Ratio probing. Within this controlled comparison, the general model shows clearer middle-layer separability for both general difficulty and Bloom-control contrasts, whereas the coder model shows weaker separability for general difficulty and a deeper peak for Bloom-control contrasts. These results show that strong execution performance does not automatically entail Bloom-aligned educational control.

Feminist and Global South perspectives on AI-supported learning environments

Phil Chen Identifies Top Career Skills for AI Era | Let's Data Science

Phil Chen Identifies Top Career Skills for AI Era | Let's Data Science Feedback Phil Chen Identifies Top Career Skills for AI Era | Let's Data Science [Skip to content](#main-content) [  LDS Let's Data ScienceLEARN • BUILD • STAY AHEAD ](https://letsdatascience.com/) [ Sign in ](https://letsdatascience.com/login?redirect=/news/phil-chen-identifies-top-career-skills-for-ai-era-3e2595ce) Feedback Funding & Businesscareer advicephil chenskillsai workforce # Phil Chen Identifies Top Career Skills for AI Era    7 sources|July 9, 2026|By [LDS Team](https://letsdatascience.com/editori

Hint for all AI Labs as they branch out from apps for programming to general knowledge work: non-coders are not just dumber coders.

Hint for all AI Labs as they branch out from apps for programming to general knowledge work: non-coders are not just dumber coders. Taking away a bunch of options from your coding app does not make it better for knowledge work. We need more types of control & visibility into the process that our AI agents use, not less.

DeepTutor: Towards Agentic Personalized Tutoring

arXiv:2604.26962v3 Announce Type: replace Abstract: Education is one of the most promising real-world applications for Large Language Models (LLMs). However, current LLMs rely on static pre-training knowledge and lack adaptation to individual learners, while existing RAG systems fall short in delivering personalized, guided feedback. To bridge this gap, we present DeepTutor, a fully open-source agentic framework that unifies citation-grounded problem tutoring with difficulty-calibrated question generation. A hybrid personalization engine couples static knowledge grounding with dynamic learner memory, continuously adapting each interaction to the student's evolving needs. The same personalization substrate further extends to adaptive learning workflows, interactive books, and proactive multi-channel tutoring agents. To evaluate personalized tutoring, we introduce TutorBench, an interactive benchmark incorporating customized learner profiles grounded in university-level curricula across five domains. We further propose an LLM-based first-person interactive evaluation protocol that conducts assessments via a profile-driven student simulator. Complementary evaluations on established benchmarks, supported by human-alignment and ablation studies, confirm the framework's robustness and general utility. Results show that DeepTutor improves personalized metrics by 10.8\% on average and strengthens general agentic reasoning across five backbone models by 29.4\%.

OpenAI launches ChatGPT Work, an AI agent for automating real jobs

For users in regulated industries ... — the agentic automation features will draw scrutiny from the ICO and FCA in the UK, and from the Irish Data Protection Commission, which oversees OpenAI's EU operations from its Dublin headquarters. The EU AI Act's transparency requirements for general-purpose AI systems add another layer of compliance uncertainty that OpenAI has yet to address publicly. Competitors aren't standing still. Anthropic and Microsoft have their own workplace AI products, ...

OpenAI launches ChatGPT Work, expands AI agents for workplace productivity - Storyboard18

According to OpenAI, the new model ... AI systems. ChatGPT Work builds on OpenAI's growing portfolio of agentic AI products, which already includes Operator, Deep Research, ChatGPT Agent for consumers and Workspace Agents for enterprise workflow automation....

OpenAI launches ChatGPT Work, deepening race for workplace AI tools

ChatGPT Work, powered by OpenAI's advanced ​AI model GPT-5.6, can gather context from apps, files and workflows to create finished documents, ​spreadsheets, presentations, ​reports and websites, the company said ... OpenAI on Thursday unveiled ChatGPT Work, an agent ​in its popular ⁠chatbot designed to execute tasks across different applications and files, ‌marking the startup's latest push into workplace automation...

OpenAI wants its new tool to do your work for you and with you - Ars Technica

OpenAI wants its new tool to do your work for you and with you - Ars Technica Text settings Story text Size Small Standard Large Width * Standard Wide Links Standard Orange * Subscribers only Learn more Minimize to nav Last year, when we tested out the “Agent Mode” in OpenAI’s Atlas web browser, we complained that any automated tasks tended to stop after a few minutes, limiting its usefulness for ongoing or complex tasks. With today’s release of ChatGPT Work, OpenAI says it has solved that problem with a new tool that can “stay with a project for hours if needed, and turn a goal into finished work.” The company is challenging users to evaluate ChatGPT Work by “giv[ing] it a task you already know well,” such as analyzing a budget or preparing a sales meeting. The company also promises that ChatGPT Work can automate entire workflows, going from customer research to a campaign brief

Introducing Robostral Navigate

Mistral introduced Robostral Navigate, a robotics navigation system that operates using only RGB camera input and synthetic training data.

AMD's CTO on why agentic AI needs more CPUs

AMD's CTO on why agentic AI needs more CPUs On stage at the RAISE Summit in Paris, the interviewer put it bluntly to Mark Papermaster. He should have bought AMD shares six months ago, he joked, back when they traded near $200. They now sit above $500. AMD is no longer the plucky underdog chasing Intel on CPUs and Nvidia on GPUs. Its market value is nearing a trillion dollars, up more than 140% in a year. So what did the market suddenly see? Papermaster’s answer is that AMD laid the groundwork years ago. It shipped its first leadership server CPU in 2017 and has kept an annual cadence since. What changed recently is how AI runs. ## Why agents need CPUs, not just GPUs The popular story of the AI boom is a GPU story. Papermaster wants to widen it. When you run agentic applications, he argues, you lean harder on the CPU, not less. “You’re actually using more and more CPU,” he said. One f

FuriosaAI deploys its RNGD servers at Equinix data center in Lisbon, Portugal

South Korean AI chip firm FuriosaAI has expanded its footprint in Europe with a deployment of its custom AI inference accelerators. The company has deployed RNGD servers at Equinix’s LS2 data center in Lisbon, Portugal. – FuriosaAI The RNGD accelerators are built on a 5nm Tensor Contraction Processor (TCP) architecture and offer 512 teraflops of […]

Live Nasdaq Composite: Tech Rises on Chip Stock Tailwinds but Software Sinks - 24/7 Wall St.

The company also announced up to ... the U.S. semiconductor supply chain and expanding the manufacturing base needed for next-generation technology. Meta Platforms (Nasdaq: META) is reportedly moving deeper into custom silicon, with its Iris AI chip expected to enter production in September, according to Reuters. The chip is part of Meta’s in-house training and inference accelerator roadmap, a sign the company wants more control over the hardware powering its ...

Council Post: How Hyperscale Infrastructure, Sovereign AI And Quantum Computing Redefine Enterprise Strategy

To understand this new race, we must look at how data centers are changing and examine the rapid evolution of data center design.

Europe’s Aether consortium targets two AI gigafactories in Strasbourg, France

A consortium of European companies, Aether Infrastructure, wants to build two data centers in France as part of the European Commission’s AI Gigafactory scheme. Aether brings together “leading European players in energy, construction, cloud computing, semiconductors, high-performance computing, and artificial intelligence” to “pursue a clear ambition: to demonstrate that Europe possesses all the expertise required […]

The Future of AI May Depend on Decisions Made Far Beyond the Data Centers - KoreaTechDesk | Korean Startup and Technology News

AI growth increasingly depends on power grids, transmission capacity, and energy infrastructure as the demand for more data centers rises worldwide.

Google tops Gartner's AI infrastructure magic quadrant

Google tops Gartner's AI infrastructure magic quadrant DataCenterNews US - Specialist news for cloud & data center decision-makers United States Powered By # Google tops Gartner's AI infrastructure magic quadrant Wed, 8th Jul 2026 (Yesterday) SEAN MITCHELL Publisher Google has been named a Leader in Gartner's inaugural Magic Quadrant for AI Infrastructure, ranking highest for Ability to Execute and furthest for Completeness of Vision. The recognition focuses on Google Cloud's AI infrastructure business, where Google is seeking to expand its position among customers building and running large AI models and agent-based systems. Its infrastructure work builds on systems developed internally for products including Gemini, YouTube, and Search. Google says engineers and researchers have spent more than a decade co-designing hardware and software for those workloads, and that the result

Can Growing Community Backlash Quiet the AI Data Center Boom?

His reporting focuses on the ... energy procurement, and next-generation data center architectures. He has won recent Azbee awards for news series and government reporting. Based in Raleigh, North Carolina, Snider covers how hyperscalers, utilities, chipmakers, and infrastructure providers are responding to the rapid rise of AI workloads and global compute demand...

AI isn’t just getting smarter. It’s getting hungrier. By 2030, monthly AI token usage is projected to grow 24x. 📈 2024: ~5 quadrillion tokens/month 📈 2030: ~118 quadrillion tokens/month But… | Alvin Foo

AI isn’t just getting smarter. It’s getting hungrier. By 2030, monthly AI token usage is projected to grow 24x. 📈 2024: ~5 quadrillion tokens/month 📈 2030: ~118 quadrillion tokens/month But… | Alvin Foo Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. # Alvin Foo’s Post AI Automation Strategist & Venture Partner at Zero2Launch | Helping Founders + Executives Ship Production AI in <30 Days | ex-Google | 25+ Years Scaling Startups in Asia 2h - Report this post AI isn’t just getting smarter. It’s getting hungrier. By 2030, monthly AI token usage is projected to grow 24x. 📈 2024: ~5 quadrillion tokens/month 📈 2030: ~118 quadrillion tokens/month But here’s what caught my attention… The majority of this growth isn’t coming from people chatting with AI. It’s coming from AI agents. According to th

Britain's cloud habit has become a billion-pound risk

24-hour outage in key AWS region could leave UK firms nursing massive losses, researchers claim

Based on the last two days, seems like SpaceX (Grok 4.5) and Meta (Muse Spark 1.1) have started to keep pace in the near-frontier AI category while also introducing a new category of cheap, fast & closed specialized coding models.

Based on the last two days, seems like SpaceX (Grok 4.5) and Meta (Muse Spark 1.1) have started to keep pace in the near-frontier AI category while also introducing a new category of cheap, fast & closed specialized coding models. Both were tied with the Big Three at some point, fell behind, but may have started to return, though they are not close to Anthropic or OpenAI yet.

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning

arXiv:2607.07761v1 Announce Type: new Abstract: Large language models (LLMs) have emerged as important tools in healthcare, showing growing potential for clinical reasoning and patient care. This survey examines recent progress in medical LLMs, focusing on reasoning applications and requirements. We present a dual-view approach that connects clinical practice with computational methods. On the clinical side, we establish a five-level competency scheme following Miller's Pyramid, progressing from knowledge recall to dynamic case management. On the computational side, we link deductive, inductive, and abductive reasoning patterns to common medical goals and tasks. We also introduce a benchmark dataset spanning five levels of medical reasoning capability and report results on 18 state-of-the-art models, revealing that medical specialist models excel in diagnosis-centric tasks while general models lead in decision support and dialogue. We conclude by discussing current progress and open challenges, including data limitations, hallucination, and grounding issues, and outline directions toward safer, more reliable, and workflow-ready systems.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals

arXiv:2607.07850v1 Announce Type: new Abstract: For seemless control of advanced hand prostheses and augmented reality, accurate and immediate hand gestures recognition is essential. Surface electromyography (sEMG) signals obtained from the forearm are commonly employed for this purpose. In this paper, we present a novel approach for sEMG representation that utilizes graph networks which contain information about muscle activation patterns in the forearm. Based on these graph networks, we have developed a machine learning algorithm capable of real-time hand gesture recognition using a graph neural network. The algorithm's performance was evaluated using sEMG signals acquired from myoband, which has 8 electrodes placed around the forearm, involving 8 healthy subjects. The proposed method demonstrated an average classification accuracy of 99\%, surpassing the performance of state-of-the-art techniques. The average time for both graph construction and prediction stood at 48ms utilizing a M1 pro CPU, rendering the approach well-suited for real-time applications.

Diagnosing and Repairing Persona Collapse in LLM Advice

arXiv:2607.08326v1 Announce Type: new Abstract: LLMs are increasingly used for personal advice on relationships, work, moral dilemmas, and crises. Post-training selects a stable, prosocial Assistant persona, but good advice requires more than a good default character: a skilled advisor comforts someone in crisis, challenges someone in denial, and stays procedural with a logistical question. We formalize advice-giving as situation-conditioned persona selection in a space defined by hedonic tone and agency support, and call failures of this mapping "persona collapse" (the compression of diverse situations into a single default persona). Across 1,281 advice posts spanning 14 contexts, top-rated human responses shift systematically across five personas, while three frontier models collapse over 90\% of responses into a single supportive persona regardless of context. Prompting the model to first pick a fitting persona only deepens the collapse. We then ask whether the collapse can be repaired. Our method, Inverse-Process Distillation, reconstructs the situational reading that could have produced each human response and trains on the result, aiming to distill the situation-to-persona policy rather than the answers. It cuts divergence from the human persona distribution by approximately 80\%. Yet in a blinded study, 199 experienced advice-givers rating responses across four situations in sequence prefer the collapsed default over every repaired model, most strongly when the situation calls for challenge, though this preference shifts with repeated exposures.

Infinity-Parser2 Technical Report

arXiv:2607.07836v1 Announce Type: new Abstract: We present Infinity-Parser2, a large multimodal model that couples a controllable data-synthesis pipeline with multi-task reinforcement learning for end-to-end document parsing, addressing the persistent scarcity of faithfully annotated parsing corpora. Our contributions are threefold. First, we build a scalable synthesis engine, pairing a controllable rendering framework with an iterative refinement loop, and use it to construct and open-source Infinity-Doc2-5M: a 5-million-sample bilingual (Chinese/English) corpus spanning diverse document types, annotated with element bounding boxes, canonical content forms (Markdown, HTML, LaTeX, SMILES, structured charts), and full-page reading order. Second, we introduce a verifiable, multi-task reward system that enables Joint Reinforcement Learning across eight co-trained objectives (document parsing, layout analysis, table parsing, math formula parsing, chart parsing, chemical formula parsing, document VQA, and general multimodal understanding), unifying perception, structure, and reasoning in a single optimization signal. Third, we release two variants under a shared architecture: Infinity-Parser2-Flash, optimized for low-latency inference with a $3.68\times$ throughput gain over Infinity-Parser-7B, and Infinity-Parser2-Pro, engineered for precision-critical settings. Infinity-Parser2-Pro reaches state-of-the-art 87.6% on olmOCR-Bench and 74.3% on ParseBench, surpassing DeepSeek-OCR-2, PaddleOCR-VL-1.5, and MinerU2.5, with strong generalization to charts, chemical formulas, and document VQA.

Validating LLMs in social science: Epistemic threats and emerging norms

arXiv:2607.07915v1 Announce Type: new Abstract: Large language models (LLMs) are reshaping social science methodology. Researchers increasingly prompt language models to generate quantitative measurements of social concepts, for example labeling data or simulating survey responses. Yet LLMs pose methodological challenges including bias, hallucination, and brittleness across contexts, with unclear threats to validity. Standard practices and norms for addressing these challenges are still emerging. We collect and systematically analyze validation practices in a comprehensive corpus of papers from eight flagship social science journals that use LLMs as measurement instruments. We find that LLM-generated measurements frequently play a central role in empirical analyses, yet validation practices are inconsistent and limited. We outline complementary strategies for more robust validation, pointing toward better norms and standards around the use of LLMs in social science.

Nigeria Machinery: A Low-Resource Industrial Dataset with a Domain-Grounded Reasoning Layer

arXiv:2607.07883v1 Announce Type: new Abstract: There is relatively little, public, and model-ready data on industrial machinery for African economies. This makes it hard to do quantitative analysis or to train language models on numeric tasks grounded in that setting. We release two things to help with part of this problem. The first is the Nigeria Machinery Usage and Failures Dataset: 89 machine-level records across 28 indicators, covering Nigeria's manufacturing and oil and gas sectors from 2006 to 2025. Every record names a public source and is decoded by a codebook. The second is a method for building chain-of-thought (CoT) reasoning examples from these sparse numeric values. The result is 94 prompt, completion, and reasoning-trace rows. In every row, the prompt names the real indicator, subsector, year, and source of the record it comes from. The data adaptation work was carried out by Adaption Labs. Along the way we describe a problem that is common when language models are used to build datasets. The prompts can match the real numbers while saying nothing about the real domain. We show that fixing this raises the share of domain-grounded prompts from 1 out of 78 in an earlier release to 94 out of 94, and that every retrieval answer now matches its source value (84 out of 84). We release the data, the reasoning layer, and a per-row provenance file under CC-BY-4.0. We are clear about the limits. With 89 records and 17 indicators that have only one observation, this is a reference and seed dataset, not a large training set. Most reasoning rows are retrieval rather than multi-step computation.

Idiobionics: The Unification of Privacy and Intelligent Robotic Prostheses

arXiv:2607.07775v1 Announce Type: new Abstract: The human body is at the center of a growing family of technologies designed to tightly and persistently couple biological and digital systems. Robotic prostheses are a representative example of this tight coupling. Also referred to as bionic limbs, robotic prostheses are devices that support people who have lost limbs in pursuing daily life activities such as walking and grasping objects. Bionic limbs are now perceptive and responsive owing to their integration with advanced sensors and artificial intelligence-based control approaches. Consequently, such robotic prostheses can now be viewed as semiautonomous wearable robotic systems that can co-adapt with their users. However, the same sensing and control advancements that increase the capability of robotic prostheses also introduce threat vectors that could be exploited by malicious entities to violate the privacy of users. To fully realize the benefits of next-generation bionic limbs, we maintain it is important to directly understand and address these privacy risks and the barriers they might present to user adoption. This paper therefore introduces a new line of inquiry we term idiobionics to holistically investigate issues at the intersection of privacy and intelligent bionic limbs. As the main contribution of this paper, we define idiobionics, ground it in related literature, and provide preliminary evidence showing and discussing potential adversarial attacks that could exploit intelligent bionic limb designs. We then contribute a curated list of open research questions within idiobionics that are relevant to researchers in wearable robotics and other human-facing autonomous systems. We expect that idiobionics research will help unlock the full potential of robotic prostheses and related bionic devices.

British businesses are buying AI licences and calling it strategy, warns new consultancy | Pressat

British businesses are buying AI licences and calling it strategy, warns new consultancy | Pressat # British businesses are buying AI licences and calling it strategy, warns new consultancy --- News provided by Boxtree Consulting on Thursday 9th Jul 2026 --- “Look closer and they’ve bought ten or fifteen Copilot licences. That’s individual productivity, not transformation. Nobody has touched the processes ## Boxtree Consulting launches with a warning that firms mistaking AI subscriptions for transformation are leaving six-figure savings unclaimed A new consultancy launches today with a blunt message for British business: buying AI licences is not an AI strategy, and firms that stop there are leaving savings worth hundreds of thousands of pounds a year unclaimed, it argues. Boxtree Consulting, founded by operational transformation specialist Max Pardo-Roques, applies Lean, the imp

Beyond The Bubble Debate

Beyond The Bubble Debate # The Prompt: Insights from OpenAI Global Affairs SubscribeSign in # Beyond The Bubble Debate ### The best measure of AI's future may be how quickly it's becoming part of everyday life Jul 09, 2026 4 Share --- ## Hi Welcome (back) to The Prompt. AI isn’t well understood, but we learn a lot in our work that can help. In this newsletter, we share some of these learnings with you: The strongest signal yet that AI is becoming a utility Our new 5.6 models are built for more people and more use cases AI’s growing role in disaster response If you find them helpful, make sure you’re signed up for the next issue. --- ## [Insight] Beyond the bubble debate AI developments are driving a familiar skepticism. Is this a bubble? Is massive infrastructure investment crowding out more useful economic activity? Can leading AI labs build sustainable businesses? The

Use of Claims Data to Screen for Functional Limitations Among Medicare Beneficiaries

This paper describes the development of a survey-based index of functional limitations and a new claims-based model for predicting limitations.

AI-enabled Drug Discovery Market to Reach USD 33,951.6 million by 2036 as Artificial Intelligence Accelerates Pharmaceutical Innovation and Drug Development

NEWARK Del July 9 2026 The global Healthcare category continues to undergo a technological transformation as artificial intelligence reshapes pharmaceutical research and development positioning the AI enabled Drug Discovery Market for remarkable growth According to Future Market Insights FMI the ...

AI tool scours the web for job openings, preps your resume and cover letter

Searching for work sucks; AI combs the internet and sucks it all up. Combine the two and let 'er rip with this Python project

How AI can enhance managers' leadership skills | Employee Benefit News

Trained technology can offer day-to-day support for administrative tasks and important interactions with team members.

The Hidden Cost of AI-Assisted Creativity

Chris Gash/theispot.com The Research The authors synthesized findings from four studies spanning short-story writing, circular-economy solutions, humor caption contests, and collaborative storytelling. Across all four studies, AI assistance improved individual output quality, but it reduced collective diversity, resulting in more similar, convergent ideas across groups. AI had the greatest positive effect on individuals with lower […]

The NHS' £10 Billion AI Rollout – UC Today

The NHS' £10 Billion AI Rollout – UC Today # The NHS Just Published the Best AI Productivity Benchmarks of 2026 A £10 billion AI rollout has produced real-world automation data that every enterprise productivity leader should be paying attention to 6 Productivity & Automation News Published: July 9, 2026 Alex ColeTechnology Journalist When NHS England announced its accelerated AI rollout on 4 July 2026, most coverage focused on the patient-facing story: a new triage tool in the NHS App, reduced waiting times, and the ambition to modernise one of the world’s largest public health systems. That framing is understandable. But it misses what makes this announcement genuinely significant for anyone thinking about workplace automation. The NHS is not a technology company running a controlled experiment. It is a 1.3 million-person workforce operating under severe resource pressure, serv

25 per cent of S&P companies already reporting measurable benefits from AI | The Corner

Most of these benefits relate to ... capital allocation and productivity gains. At sector level, Technology continues to lead the way in adoption with tangible results, as 51 per cent of companies in the sector highlighted quantifiable benefits from AI....

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting

arXiv:2607.07858v1 Announce Type: new Abstract: Artificial intelligence (AI) is beginning to reshape actuarial practice, particularly in domains that require reasoning over unstructured documents, heterogeneous data sources, and regulated decision workflows. Actuaries now face a design space that ranges from traditional rule-based automation to large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent ``agentic'' systems that plan, retrieve, call tools, and reflect. This paper examines how these emerging architectures can support actuarial priorities such as transparency, auditability, and human-in-the-loop governance, with a focus on straight-through decision processes. To make these ideas concrete, we develop and analyze an agentic AI framework for straight-through underwriting of small commercial Business Owner Policies (BOPs). We construct a synthetic but realistic experimental environment and compare three underwriting pipelines: (i) a single-LLM baseline, (ii) a naive RAG system, and (iii) a multi-agent ``Agentic RAG'' pipeline that combines targeted retrieval, third-party data checks, and explicit multi-step rule evaluation. The agentic system performs best overall, with the largest gains in multi-step and missing-information scenarios, where structured retrieval and reflection help the model avoid unsupported straight-through decisions.

UAE marketing leaders warn fragmented data is stalling AI customer engagement ROI | Khaleej Times

UAE marketing leaders warn fragmented data is stalling AI customer engagement ROI | Khaleej Times # UAE marketing leaders identify fragmented data as biggest obstacle to AI customer engagement ROI ## A MoEngage and Khaleej Times executive roundtable found that data integration, governance, and organisational readiness are proving bigger barriers to AI success than the technology itself - PUBLISHED: Thu 9 Jul 2026, 1:35 PM Add as a preferred source on Google - Share: Senior marketing executives from financial services, retail, hospitality, logistics and other sectors gathered in Dubai for a closed-door executive roundtable hosted by MoEngage in partnership with Khaleej Times to discuss why AI investments in customer engagement are not yet delivering consistent business returns. Drawing on insights from MoEngage's State of AI in Customer Engagement report for the Middle East, the di

Why AI ROI could take years to show up in HR, according to an economist

AI ROI pressure is mounting, but measurable returns lag, according to this economist. Where does HR fit in the payback timeline?

US Shuts World's Most Powerful AI, Triggers New Race - International Finance

US Shuts World's Most Powerful AI, Triggers New Race - International Finance Thursday, Jul 9, 2026 Facebook Twitter Instagram Linkedin Youtube Email - Home - Magazine - Technology - US Shuts World’s Most Powerful AI, Triggers New Race How a US government export directive shut down Anthropic's flagship models overnight, upended global business, and sparked a worldwide race to build AI that Washington cannot control International Finance Business Desk 9 Min Read Friday, June 12, 2026, was a remarkable day for the global technology industry. Something that was long considered unthinkable had happened. The United States government ordered an AI company to pull its most advanced products from the hands of every non-American user on the planet, with almost no warning. Within hours, a piece of software that had been available to hundreds of millions of people was gone. Nothing was

Beijing Grapples With Controlling Its Domestic AI Sector

China is increasingly concerned over what its AI investments have wrought. On July 7, Reuters reported that Beijing is considering placing export controls on Chinese AI models, mirroring a move by the...

Fable Follies Sharpen Europe's Sovereignty Conundrum - CEPA

Fable Follies Sharpen Europe's Sovereignty Conundrum - CEPA Insights & Analysis # Fable Follies Sharpen Europe’s Sovereignty Conundrum Although the US government lifted an export control order on Anthropic’s artificial intelligence model, the damage to transatlantic ties remains. By and July 9, 2026 The episode has sharpened Europe’s dilemma over digital sovereignty. Instead of accepting a false choice between depending on US AI software or building an independent European AI capability, policymakers on the continent should follow the example that is already being set by industry and mix and match different AI models to reduce dependency on any single supplier. The Trump administration told Anthropic to cut off access to Fable after it grew worried the model could be manipulated into sharing dangerous cyber capabilities. Anthropic restored access to Fable after the US government

Nvidia's H200 Chip Sale to China Nears Approval Amid Geopolitical Tensions

Nvidia is nearing approval to sell its H200 chips to major Chinese AI firms, having secured necessary U.S. licenses despite ongoing regulatory challenges.

Analysis: Sovereign AI is chipmaking's next growth driver — but not everyone gets a seat

Where will cloud AI's next wave of growth come from? Increasingly, the market is answering with two words: sovereign AI.

Europe’s AI opportunity is not where everyone is looking | by Enrique Dans | Enrique Dans | Jul, 2026 | Medium

Europe’s AI opportunity is not where everyone is looking | by Enrique Dans | Enrique Dans | Jul, 2026 | Medium Sitemap Sign up Sign in Get app Write Search Sign up Sign in ## Enrique Dans https://medium.com/enrique-dans On the effects of technology and innovation on people, companies and society (writing in Spanish at enriquedans.com since 2003) Member-only story AI Artificial Intelligence Europe LLM Corporate Innovation # Europe’s AI opportunity is not where everyone is looking Enrique Dans 7 min read 22 hours ago https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fvote%2Fenrique-dans%2F7a96860096e8&operation=register&redirect=https%3A%2F%2Fmedium.com%2Fenrique-dans%2Feuropes-ai-opportunity-is-not-where-everyone-is-looking-7a96860096e8&user=Enrique+Dans&userId=acfc0d77aeef -- 3 https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2

The pledge to protect ratepayers from AI data center costs needs enforcement

Federal Reserve enlists Marc Andreessen to advise on AI under Warsh - The Washington Post

Fed Chair Kevin Warsh named venture capitalist Marc Andreessen to co-lead a task force on AI &#x27;s economic impact — a technology his firm has bet billions on.

Illinois Mandates Third-Party Audits of Frontier Labs and Trump Lifts ...

Illinois Mandates Third-Party Audits of Frontier Labs and Trump Lifts Export Controls on Anthropic's Fable | The AI Policy Podcast | CSIS Podcasts ### The Eurofile LIVE: German Rearmament and Reflections on NATO's Ankara Summit July 9, 2026 • 2:00 – 3:00 pm EDT Webcast Hosted by Europe, Russia, and Eurasia Program ### Energy Shots | Iran: Turbulent Truce, Resurgent Risk July 10, 2026 • 9:30 – 10:00 am EDT Webcast Hosted by Energy Security and Climate Change Program ### China and the Section 301 Investigations: The Legal, Economic, and Diplomatic Issues July 13, 2026 • 10:00 – 11:00 am EDT Webcast Hosted by Chinese Business and Economics ### Strategic Landpower Dialogue: A Conversation with Lieutenant General Frank Lozano July 14, 2026 • 2:00 – 3:15 pm EDT In Person Webcast Hosted by Defense and Security # Illinois Mandates Third-Party Audits of Frontier Labs and Trump L

China's Guangxi steps up fair-competition reviews with AI platform, policy audit

Guangxi's market regulator has launched a campaign to combat local protectionism, including the rollout of an AI-powered fair-competition review platform and a review of business-related policies.

OpenAI Faces Allegations of Evidence Concealment in Copyright Battle

The New York Times and The Daily News claim OpenAI hid evidence in a high-profile copyright lawsuit over AI training on news content.

AI Regulation Forum (2 days)

A two-day AI Regulation Forum scheduled to take place in Brussels on September 22, 2026.

EU 'Chat Control' snoopfest returns after vote to kill it falls short

Opponents of the EU's CSAM-scanning rule failed to reach the 360-seat threshold required to block the proposal.