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Autonomous AI may improve diabetic eye screening in safety-net clinics

Researchers are testing if autonomous AI at FQHCs can boost diabetic retinopathy detection, accelerate diagnosis, and improve referral follow-through. The JAMA-published trial targets patients missing DR screening for 11 months, using FDA-cleared AI to analyse fundus photos during routine visits.

Immediate results allow same-day action, potentially reducing missed referrals for patients facing time, travel, and cost barriers.

The randomised, open-label trial at two San Diego County clinics compares point-of-care AI-DRS to usual-care referrals. Nonmydriatic fundus images are captured by trained staff, analysed by the AI algorithm, and results flow into the electronic health record (EHR).

Positive cases trigger immediate retina appointments, while ungradable images prompt urgent ophthalmology referrals. Outcomes at 90 and 180 days include screening completion, DR stage at detection, referral adherence, and patient-reported knowledge, attitudes, and self-efficacy.

The AI-DRS has demonstrated high accuracy in prior studies, detecting more-than-mild and vision-threatening DR with sensitivities above 96%. Workflow integration aims to cut diagnostic delays, using closed-loop referrals and ICD-10 coding for consistent documentation and population health tracking.

The study also evaluates implementation metrics such as image quality, acquisition success, and patient trust in AI-supported care.

If successful, the model could help clinics meet screening targets and streamline workflows for primary care providers. The protocol focuses on training, quality checks, and real-world use, providing a scalable way to prevent avoidable vision loss in underserved communities.

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OpenAI outlines Japan’s AI Blueprint for inclusive economic growth

A new Japan Economic Blueprint released by OpenAI sets out how AI can power innovation, competitiveness, and long-term prosperity across the country. The plan estimates that AI could add more than ¥100 trillion to Japan’s economy and raise GDP by up to 16%.

Centred on inclusive access, infrastructure, and education, the Blueprint calls for equal AI opportunities for citizens and small businesses, national investment in semiconductors and renewable energy, and expanded lifelong learning to build an adaptive workforce.

AI is already reshaping Japanese industries from manufacturing and healthcare to education and public administration. Factories reduce inspection costs, schools use ChatGPT Edu for personalised teaching, and cities from Saitama to Fukuoka employ AI to enhance local services.

OpenAI suggests that the focus of Japan on ethical and human-centred innovation could make it a model for responsible AI governance. By aligning digital and green priorities, the report envisions technology driving creativity, equality, and shared prosperity across generations.

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UC Santa Cruz uses NVIDIA AI to map global coastal flood risks

Researchers at the University of California, Santa Cruz, are using NVIDIA’s accelerated computing to model coastal flooding and support climate adaptation planning.

Led by Professor Michael Beck, the team develops high-resolution, GPU-powered visualisations to assess how coral reefs, mangroves, and dunes can reduce flood damage.

The centre employs NVIDIA CUDA-X software and RTX GPUs to speed up flood simulations from six hours to just 40 minutes. Using tools such as SFINCS and Unreal Engine 5, the team can now generate interactive visual models of storm impact scenarios, providing vital insights for governments and insurers.

The researchers’ current goal is to map flooding risks across small island states worldwide ahead of COP30. Their previous visualisations have already helped secure reef insurance policies in Mexico’s Mesoamerican Barrier Reef region, ensuring funding for coral restoration after severe storms.

A project, part of CoSMoS ADAPT, that aims to expand the US Geological Survey’s coastal modelling system and integrate nature-based solutions like dunes and reefs into large-scale flood resilience strategies.

Through NVIDIA’s technology and academic grants, the initiative demonstrates how accelerated computing can drive real-world environmental protection.

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GDPR does not bar courts from processing disputed evidence

The Advocate General of the EU’s top court advised that judges may process personal data as evidence even if obtained unlawfully. The opinion in NTH Haustechnik clarifies that courts can rely on public interest under Article 6(1)(e) GDPR when assessing such data.

The case arose from a German labour dispute where an employer accessed a former worker’s eBay account to prove alleged misconduct. The national court asked the CJEU whether evidence gathered unlawfully could still be lawfully processed in judicial proceedings.

The Advocate General stated that GDPR principles, including storage limitation and lawfulness, apply equally to courts. Yet no absolute ban prevents judges from handling unlawfully obtained data if national law provides safeguards consistent with the EU rights.

EU law leaves rules on evidence admissibility to member states, provided fairness, proportionality, and necessity are respected. The opinion emphasises that courts must balance privacy rights with their duty to determine the truth.

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UK data stays in the UK as OpenAI rolls out residency

OpenAI will offer UK data residency for API Platform, ChatGPT Enterprise, and ChatGPT Edu from October 24. The option, announced by Deputy PM David Lammy, is tied to a Ministry of Justice partnership. The government says it boosts privacy, security, and resilience for public services and business.

Lammy will unveil the ‘sovereign capability’ at OpenAI Frontiers, citing early MoJ efficiency gains. Over 1,000 probation officers will use Justice Transcribe to record and auto-transcribe offender meetings. Hours of admin shift to AI so staff can focus on supervision and public protection.

OpenAI CEO Sam Altman says UK usage has quadrupled in the past year. The company pitches AI as a way to save time and lift productivity across sectors. MoJ pilots have sparked interest from other departments, with broader adoption expected.

Data residency is a key blocker for regulated sectors, and this move aims to address that gap. Keeping data within the UK can simplify compliance and reduce perceived risk. It also underpins continuity plans by localising sensitive workloads.

ChatGPT Atlas, an AI-first web browser, was also announced this week. Its arrival could nudge users away from keyword searches toward conversational answers. OpenAI faces rivals Anthropic, Perplexity, and big tech incumbents in that shift.

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AI leaders call for a global pause in superintelligence development

More than 850 public figures, including leading computer scientists Geoffrey Hinton and Yoshua Bengio, have signed a joint statement urging a global slowdown in the development of artificial superintelligence.

The open letter warns that unchecked progress could lead to human economic displacement, loss of freedom, and even extinction.

An appeal that follows growing anxiety that the rush toward machines surpassing human cognition could spiral beyond human control. Alan Turing predicted as early as the 1950s that machines might eventually dominate by default, a view that continues to resonate among AI researchers today.

Despite such fears, global powers still view the AI race as essential for national security and technological advancement.

Tech firms like Meta are also exploiting the superintelligence label to promote their most ambitious models, while leaders such as OpenAI’s Sam Altman and Microsoft’s Mustafa Suleyman have previously acknowledged the existential risks of developing systems beyond human understanding.

The statement calls for an international prohibition on superintelligence research until there is a broad scientific consensus on safety and public approval.

Its signatories include technologists, academics, religious figures, and cultural personalities, reflecting a rare cross-sector demand for restraint in an era defined by rapid automation.

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ChatGPT faces EU’s toughest platform rules after 120 million users

OpenAI’s ChatGPT could soon face the EU’s strictest platform regulations under the Digital Services Act (DSA), after surpassing 120 million monthly users in Europe.

A milestone that places OpenAI’s chatbot above the 45 million-user threshold that triggers heightened oversight.

The DSA imposes stricter obligations on major platforms such as Meta, TikTok, and Amazon, requiring greater transparency, risk assessments, and annual fees to fund EU supervision.

The European Commission confirmed it has begun assessing ChatGPT’s eligibility for the ‘very large online platform’ status, which would bring the total number of regulated platforms to 26.

OpenAI reported that its ChatGPT search function alone had 120.4 million monthly active users across the EU in the six months ending 30 September 2025. Globally, the chatbot now counts around 700 million weekly users.

If designated under the DSA, ChatGPT would be required to curb illegal and harmful content more rigorously and demonstrate how its algorithms handle information, marking the EU’s most direct regulatory test yet for generative AI.

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Crypto hiring snaps back as AI cools

Tech firms led crypto’s hiring rebound, adding over 12,000 roles since late 2022, according to A16z’s State of Crypto 2025. Finance and consulting contributed 6,000, offsetting talent pulled into AI after ChatGPT’s debut. Net, crypto gained 1,000 positions as workers rotated in from tech, fintech, and education.

The recovery tracks a market turn: crypto capitalisation topping US$4T and new Bitcoin highs. A friendlier US policy stance on stablecoins and digital-asset oversight buoyed sentiment. Institutions from JPMorgan to BlackRock and Fidelity widened offerings beyond pilots.

Hiring is diversifying beyond developers toward compliance, infrastructure, and product. Firms are moving from proofs of concept to production systems with clearer revenue paths. Result: broader role mix and steadier talent pipelines.

A16z contrasts AI centralisation with crypto’s open ethos. OpenAI/Anthropic dominate AI-native revenue; big clouds hold most of the infrastructure share; NVIDIA leads GPUs. Crypto advocates pitch blockchains as a counterweight via verifiable compute and open rails.

Utility signals mature, too. Stablecoins settled around US$9T in 12 months, up 87% year over year. That’s over half of Visa’s annual volume and five times that of PayPal’s.

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Kazakhstan to achieve full Internet access for all citizens by 2027

Kazakhstan aims to provide Internet access to its entire population by 2027 as part of the national ‘Affordable Internet’ project.

Deputy Prime Minister and Minister of AI and Digital Development Zhaslan Madiyev outlined the country’s digital transformation goals during a government session, highlighting plans to eliminate digital inequality and expand broadband connectivity.

Over one trillion tenge has been invested in telecommunications in the past three years, bringing average Internet speeds to 94 Mbps. By 2027, Kazakhstan expects to achieve 100% Internet coverage, speeds above 100 Mbps, and fiber-optic access for 90% of rural settlements.

Currently, 84% of villages already have mobile Internet, and 2,606 are connected to main fibre-optic lines.

The plan includes 4G coverage for 92% of settlements, 5G deployment in 20 cities, and 4G connectivity across 40,000 km of highways. Satellite Internet will reach 504 remote villages by 2025.

Madiyev also noted Kazakhstan’s strategic role in global data transit, with projects such as the Caspian Sea undersea fibre-optic line aiming to raise its share of international traffic from 1.5% to 5% by 2027.

An initiative that supports Kazakhstan’s ambition to become a regional IT hub by 2030, with the number of IT racks set to grow from 4,000 to 20,000, and at least nine Tier III-IV data centres planned.

The country has also launched the National Supercomputer Center ‘alem.cloud’ and the ‘Al-Farabium’ tech cluster to strengthen its digital ecosystem.

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CMC pegs JLR hack at £1.9bn with 5,000 firms affected

JLR’s cyberattack is pegged at £1.9bn, the UK’s costliest on record. Production paused for five weeks from 1 September across Solihull, Halewood, and Wolverhampton. CMC says 5,000 firms were hit, with full recovery expected by January 2026.

JLR is restoring manufacturing in phases and declined to comment on the estimate. UK dealer systems were intermittently down, orders were cancelled or delayed, and suppliers faced uncertainty. More than half of the losses fall on JLR; the remainder hits its supply chain and local economies.

The CMC classed the incident as Category 3 on its five-level scale. Chair Ciaran Martin warned organisations to harden critical networks and plan for disruption. The CMC’s assessment draws on public data, surveys, and interviews rather than on disclosed forensic evidence.

Researchers say costs hinge on the attack type, which JLR has not confirmed. Data theft is faster to recover than ransomware; wiper malware would be worse. A claimed hacker group linked to earlier high-profile breaches is unverified.

The CMC’s estimate excludes any ransom, which could add tens of millions of dollars. Earlier this year, retail hacks at M&S, the Co-op, and Harrods were tagged Category 2. Those were pegged at £270m–£440m, below the £506m cited by some victims.

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