Wikipedia editors have voted to remove all links to Archive.today, citing allegations that the web archive was involved in a distributed denial of service attack.
Editors said Archive.today, which also operates under domains such as archive.is and archive.ph, should not be linked because it allegedly used visitors’ browsers to target blogger Jani Patokallio. The site has also been accused of altering archived pages, raising concerns about reliability.
Archive.today had previously been blacklisted in 2013 before being reinstated in 2016. Wikipedia’s latest guidance calls for replacing Archive.today links with original sources or alternative archives such as the Wayback Machine.
The apparent owner of Archive.today denied wrongdoing in posts linked from the site and suggested the controversy had been exaggerated. Wikipedia editors nevertheless concluded that readers should not be directed to a service facing such allegations.
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OpenAI has published its attempts to solve all 10 problems in the First Proof challenge, a research-level maths test designed to assess whether AI can produce checkable, domain-specific proofs. Leading experts created the issues and require extended reasoning rather than short answers.
The company said at least five of its proof attempts are likely correct following expert feedback, although one previously confident submission has now been judged incorrect. Several other attempts remain under review as specialists continue to assess the arguments.
According to OpenAI, the evaluation involved limited human supervision, with researchers sometimes prompting the model to refine or clarify reasoning. The process included exchanges between an internal model and ChatGPT for verification, formatting and style adjustments.
OpenAI described frontier research challenges, such as First Proof, as crucial for testing next-generation AI systems. The company said it plans to deepen its engagement with academics to develop more rigorous evaluation frameworks for research-grade reasoning.
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Senator Bernie Sanders has warned at Stanford University in California that the US is unprepared for the speed and scale of the AI revolution. Speaking in California alongside Congressman Ro Khanna, he called the moment one of the most dangerous in modern US history.
At Stanford University, Sanders urged a moratorium on the expansion of AI data centres to slow development while lawmakers catch up. He argued that the American public lacks a clear understanding of the economic and social impact ahead and that New York is already considering a pause.
Khanna, who represents Silicon Valley in California, rejected a complete moratorium but called for steering AI growth through renewable energy and water efficiency standards. He outlined principles to prevent wealth from being concentrated among a small group of tech billionaires.
Sanders also raised concerns in California about job losses and emotional reliance on AI, citing projections of widespread automation. He called for a national debate in the US over whether AI will benefit the public or deepen inequality.
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AI is becoming a preferred tool for those beginning their retirement planning. Data on searches and website traffic suggests AI is meeting early-stage needs for pension guidance.
Platforms offering general financial information, such as MoneyHelper, have seen traffic fall by 10% over the past six months. At the same time, AI-generated overviews of pension content are on the rise.
AI tools are mainly used to sense-check retirement decisions, model ‘what-if’ scenarios, simplify pension jargon, and assist with tax planning. Users view AI as a thinking partner rather than a replacement for regulated advice.
Despite the rise of AI, bespoke advisory services, such as Pension Wise, have remained relevant, providing personalised guidance that AI cannot fully replace. PensionBee highlights that AI is helpful for basic guidance, but services remain essential for more complex planning.
Experts warn that the retirement sector faces a challenge in maintaining trust and relevance as AI continues to improve. Savers increasingly rely on technology for guidance, signalling a shift in how pensions are researched and managed.
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Research from Honorlock indicates a substantial shift in how students engage with generative AI in higher education: more than 56% of surveyed US college–enrolled students report being required to use AI tools in coursework, and 63% use AI for at least some assignments.
The most common uses include grammar and editing support (59%) and text generation (57%), with students also using AI to brainstorm ideas and clarify concepts.
Despite widespread AI use, there remains a significant gap in formal AI education: only 31% of students are aware of AI-focused courses at their institutions, and fewer than 20% have taken them.
Students themselves often learn AI skills independently rather than through a structured curriculum, potentially leaving them unprepared for workplaces where AI fluency is expected.
The survey also highlights academic integrity risks: more than one-third of students admitted to using AI assistance on quizzes or exams, underlining the need for clear AI use policies, responsible-use training and ethical frameworks within higher education.
Researchers and advocates argue that colleges should integrate AI literacy, including ethics, governance, real-world applications and responsible use, into coursework to better equip graduates for AI-enabled careers.
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The German banking giant has applied for a digital asset custody licence from BaFin, marking a significant step in its expansion into cryptocurrency services. The move positions Deutsche Bank to offer safekeeping solutions for clients seeking exposure to digital assets.
Plans form part of a broader strategy to build a dedicated digital assets division, according to David Lynne, a commercial banking executive. DWS Group’s initiatives highlight rising institutional interest in crypto partnerships in Germany.
Previous experimentation includes a tokenised investment platform developed in Singapore with Memento Blockchain, enabling access to digital asset funds through fiat on-ramps.
Activity mirrors wider domestic momentum, as Deutsche WertpapierService Bank has already launched crypto infrastructure linking traditional and digital accounts.
Regulatory clarity and growing client demand appear to be key drivers, with Deutsche Bank signalling a cautious yet deliberate approach to integrating cryptocurrencies into its mainstream banking services.
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A Chinese research team has developed an AI-powered system, DeepRare, to diagnose rare diseases with unprecedented accuracy.
The project, led by Shenhua Hospital and the university’s School of Artificial Intelligence, has already attracted over 1,000 specialised users from more than 600 medical and research institutions worldwide.
Tests show DeepRare achieves 57.18 percent accuracy using only clinical data, marking a 24-point improvement over previous models. Including genetic data raises accuracy above 70 percent, showing potential to improve diagnosis in areas without advanced testing.
The system draws on an extensive knowledge base of medical literature and real-world cases. Its cycle of hypothesis, validation, and self-review boosts reliability and fills reasoning gaps, surpassing the limits of traditional AI models.
By enhancing transparency and precision, DeepRare offers a practical tool for clinicians facing the persistent challenge of identifying rare diseases, potentially setting a new global standard for AI-assisted diagnostics.
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OpenAI chief Sam Altman has called for urgent global regulation of AI, speaking at the AI Impact Summit in New Delhi. Addressing leaders and executives in New Delhi, he said the rapid pace of development demands coordinated international oversight.
In New Delhi, Altman suggested creating a body similar to the International Atomic Energy Agency to oversee advanced AI systems. He warned that highly capable open source biomodels could pose serious biosecurity risks if misused.
Altman argued in New Delhi that democratising AI is essential to prevent power from being concentrated in a single company or country. He added that safeguards are urgently required, even as technology continues to disrupt labour markets.
During the summit in New Delhi, Altman said ChatGPT has 100 million weekly users in India, with more than a third being students. OpenAI also announced plans with Tata Consultancy Services to build data centre infrastructure in India.
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OpenAI, with Paradigm and OtterSec, introduced EVMbench to test how AI agents detect, patch, and exploit smart contract flaws. The benchmark draws on 120 real vulnerabilities from 40 blockchain projects to better reflect live conditions.
Researchers report that leading agents can now discover and exploit end-to-end vulnerabilities in live blockchain instances. Over six months, exploit success rates rose sharply, prompting both praise for improved auditing capabilities and concern over the rapid scaling of offensive skills.
EVMbench evaluates agents across three modes: detect, patch, and exploit. Each stage reflects increasing technical complexity and mirrors the responsibilities faced in production blockchain environments, where contracts are often immutable, and errors can lead to irreversible losses.
Recent incidents underline the stakes. A vulnerability in AI-generated Solidity code reportedly mispriced an asset, triggering liquidations and losses. Such cases highlight the risks of deploying AI-written financial logic without rigorous human review and governance safeguards.
While EVMbench advances measurement of AI capabilities, it remains limited to curated vulnerabilities and sandboxed conditions. As blockchain adoption expands and criminal misuse evolves, researchers stress the need for responsible AI development alongside stronger innovative contract security practices.
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Swiss firm Procivis has secured a contract to deliver Lithuania’s end-to-end Digital Identity Wallet sandbox, supporting the country’s preparations under eIDAS 2.0. The project will establish a national testbed for digital ID use cases and interoperability across the European Union.
Selected by Lithuania’s digitalisation agency, Procivis will build a platform for public authorities and relying parties to test secure digital wallet use cases. The sandbox will validate readiness ahead of the EU’s 2027 digital identity wallet deadline.
The updated eIDAS 2.0 technical framework sets out how wallets will store and share trusted digital credentials and electronic identification. Governments and private organisations will be able to integrate services into the wallets, streamlining authentication, onboarding, and cross-border access.
Across Lithuania and the EU, testbeds and large-scale pilots have been central to turning regulatory requirements into interoperable infrastructure. Lithuania’s sandbox will also support activities under the EU’s LSP Aptitude consortium, which is testing cross-sector digital identity solutions.
Procivis said the collaboration aims to accelerate practical validation while ensuring compliance with European standards on security, interoperability, and data protection. The company stated that supporting a timely, budget-aligned implementation of eIDAS 2.0 remains central to its mission.
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