On 28 May, US and Iranian negotiators reached an agreement on a 60-day memorandum of understanding to extend the ceasefire and launch negotiations on Iran's nuclear program, though President Trump has yet to give his final approval and Tehran has not confirmed its acceptance. The development marks the latest attempt to consolidate a fragile ceasefire that has held since 8 April, when a two-week truce brokered by Pakistan paused a conflict that began on 28 February with coordinated US-Israeli strikes that killed Iran's Supreme Leader Ali Khamenei.
Pakistan's foreign minister, Mohammad Ishaq Dar, is scheduled to fly to Washington on Friday to meet Secretary of State Marco Rubio, continuing Islamabad's role as the principal intermediary between the two adversaries. Pakistan emerged as a key mediator in recent months, playing a leading role in negotiating the April ceasefire amid a war that has imposed catastrophic economic costs across the region and sent global energy markets into turmoil.
The draft agreement Trump circulated among allies including Israel centres on reopening the Strait of Hormuz, which Iran closed in response to the initial strikes. According to a US official, the proposed 60-day extension would allow Iran to freely sell oil and require it to remove all mines from the strait within 30 days, while negotiations would proceed on curbing Iran's nuclear program. The framework also addresses the parallel conflict between Israel and Hezbollah in Lebanon, though Israeli Prime Minister Benjamin Netanyahu expressed concern about conditions ending Israel's operations against the Iranian-backed militia during a Saturday call with Trump.
The ceasefire has remained precarious, punctuated by repeated violations from both sides. On 25 May, US Central Command conducted strikes on Iranian missile launch sites and boats around the Strait of Hormuz, describing the action as defensive measures to protect American forces. Iran fired a ballistic missile toward Kuwait shortly before those strikes. The economic stakes are immense: the Pentagon requested $200 billion in supplementary funding after estimating the war's cost at nearly $29 billion by early May, while the Iranian government assessed damage to its economy at between $300 billion and $1 trillion.
Pakistan's involvement as a nuclear-armed intermediary with complex relationships to both Washington and Tehran underscores the broader regional dimensions of the crisis. The success or failure of these negotiations will determine whether the conflict—which has produced what experts describe as the largest supply disruption in global oil market history—escalates further or moves toward a sustainable resolution that addresses Iran's nuclear program, sanctions relief, and the future of US military presence in the region.
Employees of Anthropic have donated more than $880,000 directly to political campaigns in the 2026 US midterms, according to Federal Election Commission filings analysed by Transformer. The 302 donations, averaging over $12,500 per contributing employee through the end of the first quarter, heavily favour candidates supporting stricter AI regulation, marking an unprecedented effort by AI safety-focused employees to shape electoral outcomes through direct campaign contributions.
The donations concentrate on state-level legislators who have championed AI safety frameworks. Alex Bores, the New York assemblymember who authored the state's RAISE Act, received $186,000 from Anthropic employees, while California state senator Scott Wiener, who led the passage of SB53, received over $110,000. Both state laws require large AI developers to create safety protocols for severe risks and report critical incidents, establishing what Governor Kathy Hochul described as "nation-leading" transparency standards. The RAISE Act, signed into law in December 2025, mandates that companies spending over $100 million on frontier model training must publish safety plans covering risks such as bioweapon creation assistance and large-scale automated criminal activity.
These 'hard money' donations—which go directly to campaigns rather than super PACs—carry strategic advantages despite representing smaller absolute sums than the $25 million AI-related super PACs have deployed. As Transformer notes, hard money can be used more strategically by candidates for hiring staff, organizing rallies, and crafting targeted messaging, while super PAC funds face coordination restrictions and overhead costs. OpenAI employees have donated approximately $300,000 across 162 contributions, a notably smaller scale of engagement. The median donation from Anthropic employees stands at $6,500, with many contributors maxing out the $7,000 per-candidate limit.
The donation patterns appear influenced by effective altruism's emphasis on directing resources where they will have maximum impact, according to the Transformer analysis. Jan Leike, Anthropic's head of alignment science and former OpenAI researcher, has personally donated over $24,000. Many donors hold compensation packages in the high hundreds of thousands or multiple millions of dollars, providing substantial capital they have pledged to deploy strategically. Anthropic launched its own corporate PAC, AnthroPAC, in April, which has raised an additional $119,000 through voluntary employee contributions but has not yet begun spending. The company has also made a separate $20 million corporate donation to Public First Action, a bipartisan advocacy group supporting AI safety candidates across party lines.
Datacentres consumed 22% of Ireland's total electricity in 2024, surpassing the combined usage of all urban households, according to figures released by Ireland's Central Statistics Office on 10 June 2025. The proportion represents a dramatic escalation from just 5% in 2015, with datacentre electricity consumption rising 531% over that nine-year period.
A report commissioned by environmental groups Friends of the Earth Ireland and Beyond Fossil Fuels has quantified the financial impact on residential consumers, estimating that Irish households paid an average of €360 in additional electricity costs between 2015 and 2023 due to what researchers characterise as a datacentre-driven price effect. The research, published on 28 May 2026, attributes the cost increases to the interaction between high, inflexible datacentre demand and Ireland's dependence on gas-fired generation in wholesale electricity markets. According to The Irish Times, the modelling suggests Irish households could face a further €295 to €644 cumulatively between 2025 and 2034, depending on the trajectory of datacentre expansion.
Ireland's datacentre electricity share is proportionally more than seven times the 2-3% EU average, according to official data, and grid operator EirGrid projects the sector could account for 30% of national demand by 2030 as AI workloads accelerate. The concentration poses what EirGrid has identified as a "risk to grid stability", prompting new technical protocols requiring datacentres to remain connected during grid faults rather than instantly switching to backup power. The energy burden is creating what political representatives have termed a "hidden datacentre tax" — a redistribution of infrastructure costs from technology companies to ordinary households through elevated wholesale electricity prices.
The pattern is not confined to Ireland. Energy analysts Wood Mackenzie projected in July 2025 that Irish datacentres would consume electricity equivalent to powering two million homes by 2030, and noted that Denmark's datacentre electricity use could increase sixfold by 2030. The findings underscore deepening tensions between AI development's exponential infrastructure requirements and public resources across Europe, raising fundamental questions about cost allocation mechanisms for compute-intensive technologies and whether current pricing structures adequately capture the externalities of the AI transition as it scales.
On 27 May 2026, the US Department of Justice opened a criminal investigation into E Jean Carroll, the 82-year-old writer who successfully sued Donald Trump for sexual assault and defamation, CNN and the New York Times reported. Federal prosecutors are examining whether Carroll committed perjury in a 2022 deposition when she stated that no one else was paying her legal fees, despite billionaire Reid Hoffman later being revealed to have funded some of her legal expenses through a Chicago-based nonprofit.
The investigation is being led by the US Attorney's Office for the Northern District of Illinois, headed by Andrew S. Boutros, a Trump appointee from 2025. Acting Attorney General Todd Blanche has recused himself from the matter, having previously represented Trump in legal appeals tied to Carroll's lawsuits. According to CBS News, when Trump's attorneys raised the funding issue on appeal, the Second Circuit Court of Appeals found that Carroll had "plausibly represented" in her deposition that she had forgotten about the limited outside funding, noting that she "simply was not involved in the matter of who was or was not funding her litigation costs."
Carroll won two civil cases against Trump with substantial damages. A jury in 2023 awarded her $5 million after finding Trump liable for sexual abuse and defamation over an alleged assault in the mid-1990s at Bergdorf Goodman and his 2022 denial statements. A second jury in January 2024 awarded her $83.3 million in damages for defamation related to Trump's 2019 statements denying the assault. Both verdicts have been upheld on appeal, with the Second Circuit in September 2025 finding that Trump's conduct was "remarkably high, perhaps unprecedented" in its degree of reprehensibility.
The criminal inquiry raises serious questions about potential weaponisation of federal law enforcement against a private citizen who prevailed in civil litigation against the sitting president. Legal experts have noted that perjury prosecutions in civil depositions are exceptionally rare, particularly when directed at individuals who have publicly opposed powerful political figures. The timing and selection of this investigation — launched more than two years after the deposition in question and months after Carroll's legal victories were affirmed — suggests a pattern of retaliatory prosecution that could create a chilling effect on those who bring legal claims against government officials.
The majority of code at Anthropic is now written by Claude, with some employees ceasing to write code directly and instead focusing on oversight and validation of AI-generated output.
Clark, who heads the Anthropic Institute launched in March 2026, said he returned from paternity leave in February to discover colleagues had fundamentally reoriented their roles around managing AI systems and verifying their outputs rather than producing code themselves. The internal shift has led to an explosion in code volume, prompting greater investment in telemetry and observability infrastructure to monitor what Clark characterised as an emergent ecosystem of autonomous agents. In one experimental deployment focused on automated alignment research, a single human researcher effectively supervised a team of nine synthetic research agents working on AI safety problems.
The transformation has reshaped Anthropic's hiring priorities. Clark noted that the value of junior engineering talent is becoming "a bit more dubious" inside the company, while senior engineers with "really, really well-calibrated intuitions and taste" are increasingly valuable. The company now seeks early-career candidates with deep expertise in large language models and highly experienced professionals capable of conceptualising ambitious projects, rather than mid-level engineers focused on implementation. Clark predicted that AI could account for 99% of the company's coding by year-end "if things speed up really aggressively".
According to external research organisation METR, Claude Opus 4.6 can reliably complete tasks that would take a skilled human approximately 12 hours, representing a dramatic compression of capability timelines from earlier models. Anthropic reports the model "plans more carefully, sustains agentic tasks for longer, can operate more reliably in larger codebases, and has better code review and debugging skills". The system features a one-million-token context window and introduced agent team functionality, allowing multiple Claude instances to coordinate on complex engineering tasks.
Clark framed the internal experiment as Anthropic deliberately stress-testing its own systems ahead of more capable models. In an interview with Axios, he placed the development in a broader trajectory, predicting a 60% or greater probability that an AI model will autonomously train its successor by the end of 2028. He characterised the shift as humans moving to a verification layer atop a vastly expanded virtual organisation of AI systems, with teams expected to shrink in headcount while tackling more ambitious technical objectives. Anthropic's research agenda warned of "AI contributing to speeding up the research and development of AI itself", a dynamic known as recursive self-improvement that has historically been confined to theoretical AI safety literature.
An Anthropic spokesperson told TechCrunch that Karpathy will start a team focused on using Claude to accelerate pre-training research, signaling an intensifying race among frontier labs to develop AI systems capable of improving their own capabilities.
Karpathy began work this week on Anthropic's pretraining team under team lead Nick Joseph, another OpenAI alumnus. Pretraining is responsible for the large-scale training runs that give Claude its core knowledge and capabilities, and is one of the most expensive, compute-intensive phases of building a frontier model. The move represents a significant talent acquisition in what Axios described as "a major coup for Anthropic in the escalating competition for elite AI talent".
Karpathy's appointment comes amid a broader pattern of senior technical leaders joining Anthropic in individual contributor research roles. CTOs of billion-dollar companies have been quitting to take individual contributor roles at Anthropic, including the CTOs of Workday, You.com, Instagram, Box, Super.com, and Adept AI between mid-2025 and early 2026. The concentration of talent has not gone unnoticed: Karpathy is one of the few researchers who can bridge the gap between LLM theory and large-scale training practice, and tapping him to build such a team is a clear sign from Anthropic that it believes AI-assisted research, rather than pure compute, is how it stays competitive with OpenAI and Google.
The focus on recursive self-improvement has sparked controversy within the AI safety community, with researcher Nate Soares calling it "not 'good guys' behavior" to hire top scientists to work on potentially dangerous technology. The concerns center on systems that could amplify their own capabilities without human oversight. Anthropic co-founder Jack Clark had predicted in early May a 60% chance of full recursive self-improvement by the end of 2028, according to The Algorithmic Bridge. Industry reactions ranged from sports analogies comparing the hire to superstar free agency moves to deeper concerns about the wisdom of accelerating work on self-improving AI systems.
Karpathy had previously left OpenAI and worked on AI education initiatives, including founding Eureka Labs and creating the widely-followed "Neural Networks: Zero to Hero" educational series. He stated he remains "deeply passionate about education and plan[s] to resume [his] work on it in time". Anthropic has been in discussions on a $30 billion fundraising round that would value the company at $900 billion, surpassing rival OpenAI's most recent valuation of $852 billion, according to reports from multiple outlets tracking the AI funding landscape.
On 20 May, OpenAI announced that an internal reasoning model had autonomously disproved the planar unit distance conjecture, an 80-year-old problem in discrete geometry first posed by Paul Erdős in 1946. The problem asks: if you place n points in a plane, what is the maximum number of pairs that can be exactly distance 1 apart? For decades, mathematicians believed square grid arrangements were essentially optimal. The OpenAI model disproved this longstanding conjecture, discovering an infinite family of constructions using deep algebraic number theory (Golod-Shafarevich theory, infinite class field towers) that achieve polynomial improvement over square grids—specifically, n^(1+δ) unit-distance pairs for some fixed δ > 0 (later refined to δ = 0.014 by Princeton mathematician Will Sawin). The proof has been checked by a group of external mathematicians. They have also written a companion paper explaining the argument and providing further background and context for the significance of the result. A human-verified version of the proof has been published on arXiv.
The announcement marks a departure from OpenAI's October 2025 controversy, when the company claimed GPT-5 had cracked ten Erdős problems. Thomas Bloom, the same mathematician who has now verified the unit-distance result, called the framing a "dramatic misrepresentation" at the time. The model had retrieved solutions, not produced them. The May 2026 result has received far more positive reception. Tim Gowers, a Fields Medal winner, called the result "a milestone in AI mathematics." Nature and other outlets have noted strong reactions from the mathematics community, though OpenAI has not revealed all procedural details.
Separately, Google DeepMind released AlphaProof Nexus, a system combining large language models with the Lean formal proof assistant. The system autonomously solved 9 out of 353 open problems from the Erdős catalog — a collection of unsolved mathematical challenges — at an inference cost of just a few hundred dollars per problem. Two of the nine problems had been open for 56 years. The results were documented in an arXiv preprint (2605.22763v1) published on 21 May 2026. All formal proofs and selected natural language versions have been made available in a GitHub repository that was updated between 20 and 22 May 2026. The system also proved 44 of 492 open conjectures from the Online Encyclopedia of Integer Sequences.
The dual announcements represent a significant shift in AI's mathematical capabilities. Competition math is difficult, but it is designed to have a clean answer. Open research problems are different. They may have resisted specialists for decades, they may require a new construction, and they do not come with the comfort of knowing that a solution is waiting at the end of the page. For those tracking transformative AI development, the achievements signal that general-purpose models can now autonomously make progress on genuinely difficult, open-ended problems requiring creative insight—a capability with direct implications for recursive self-improvement pathways. However, the practical impact remains uncertain. The OpenAI solution procedure was described in the original announcement as complicated and probabilistic enough that it cannot be run in practice, raising questions about whether such breakthroughs are immediately useful or primarily symbolic demonstrations of capability.
Go deeper: Remarks on the disproof of the unit distance conjecture (arXiv, verified proof)
The signing ceremony, scheduled for Thursday afternoon with invited technology executives, was cancelled hours before it was set to begin after the president expressed concerns about impeding American competitiveness with China.
According to CNN, the draft order was divided into two sections: cybersecurity protections and "covered frontier models." The framework would have encouraged AI companies including OpenAI and Anthropic to provide early government access for security review before deploying advanced systems publicly. Trump told reporters he "didn't like certain aspects" of the order and worried it "could've been a blocker," adding that he did not want to do anything that might undermine the US lead over China in AI development.
The decision came after reported conversations with technology industry figures including former White House AI adviser David Sacks, who favours a hands-off regulatory approach, as well as Elon Musk and Mark Zuckerberg, according to The Hill. The reversal marks a significant victory for AI laboratories seeking to avoid government oversight and a setback for safety advocates who have pressed for pre-deployment scrutiny of high-risk systems. While the framework would not have been legally binding, it would have established a precedent for government review of frontier models — a mechanism advocated in many proposed governance frameworks for advanced AI.
The timing of the postponement is notable given recent releases of increasingly capable AI models with cybersecurity implications. The Washington Post reported that officials had become concerned about new systems like Anthropic's Mythos, which have demonstrated capabilities in identifying and exploiting software vulnerabilities. The reversal exposes tensions within the administration between those prioritising economic and strategic competition with China and those concerned about the risks of deploying powerful systems without adequate evaluation, suggesting that competitiveness considerations currently outweigh safety concerns in White House AI policy.
On 27 May, WHO Director-General Tedros Adhanom Ghebreyesus warned that the Democratic Republic of Congo faces a catastrophic collision between an Ebola outbreak and armed conflict, describing conditions in which insecurity and violence are making it "nearly impossible" to trace contacts and isolate cases. The outbreak, caused by the Bundibugyo strain of Ebola, was officially declared on 15 May 2026 in Ituri Province, with 121 confirmed cases and more than 1,000 suspected cases now reported across Ituri, North Kivu, and South Kivu provinces.
The crisis is compounded by the absence of approved vaccines or treatments for the Bundibugyo strain, which differs from the more common Zaire strain that dominated previous outbreaks. WHO emphasized that containment depends entirely on public health measures—contact tracing, ring vaccination protocols used for other strains, isolation, and safe burial practices—all of which require sustained humanitarian access. Yet ongoing fighting, attacks on health facilities, and restrictions imposed by armed groups have severely disrupted these interventions. Nearly 10 million people across the affected provinces are facing acute hunger between January and June 2026, with the WHO chief noting that populations weakened by malnutrition are far more vulnerable to infection.
The pattern echoes the 2018-2020 North Kivu outbreak, where conflict zones became disease reservoirs and more than 2,200 people died. This time, health workers report that mass displacement is pushing exposed contacts into overcrowded camps, severing containment corridors and creating new transmission clusters beyond surveillance reach. Ituri Province, the outbreak's epicenter, is a high-traffic mining area with 273,000 displaced people and proximity to Uganda and South Sudan, raising concerns about regional exportation. Cases have already been confirmed in Uganda's capital, Kampala, and the WHO declared the outbreak a Public Health Emergency of International Concern on 17 May.
Tedros appealed for an immediate ceasefire, stating that stopping transmission depends entirely on humanitarian access. The true scale of the outbreak remains uncertain due to access constraints, but the pattern is familiar: without a security environment permitting comprehensive public health intervention, the outbreak could spiral beyond local containment capacity, potentially threatening regional stability and testing international biosecurity infrastructure in a region where state services have been largely absent for decades.
Iran restored limited internet connectivity on 27 May after an 88-day near-total blackout, which NetBlocks described as the longest nationwide internet shutdown in modern history. Rather than celebration, the first reactions from Iranian users expressed scepticism, anxiety, and anger as delayed messages and content flooded back online. According to CNN, many Iranians reacted with sarcasm, with one woman posting on X that the regime wants to bring back the heavily filtered "filternet" while making a spectacle of restoring basic connectivity.
The blackout began on 8 January 2026 during mass anti-government protests driven by surging inflation and economic crisis, according to multiple monitoring groups. Restrictions were briefly eased in late January before authorities reimposed a near-total shutdown on 28 February following US and Israeli military strikes. The restoration came after President Masoud Pezeshkian ordered the Ministry of Communications to restore international internet access, a directive approved by the Special Headquarters for Organizing and Governing the Country's Cyberspace. However, The National reported that residents experienced uneven speeds and ongoing filtering, with many still requiring VPNs to access blocked platforms.
The economic toll of the shutdown proved severe. According to the Boston Globe, the blackout cost an estimated $30-40 million daily in direct losses, with indirect costs likely twice that amount. Iran's Communications Minister Sattar Hashemi previously acknowledged that approximately 10 million jobs depend on internet connectivity. UPI reported that thousands lost their jobs during the shutdown, while online sales fell by 80 percent.
The extended blackout represents an extreme form of information control by Iran's clerical regime, which has repeatedly used internet shutdowns to suppress dissent during periods of political unrest. The country's internet governance is highly centralised, controlled by the Supreme Council for Cyberspace, a body established in 2012 whose members include senior political, judicial, intelligence, and religious figures, according to CNN. During the blackout, authorities created a two-tier system through programmes like "Internet Pro," which allowed privileged access to some businesses and professionals for a fee, drawing widespread criticism for creating what observers described as a digital class divide. The psychological impact of the blackout — reflected in the anxious rather than relieved response to restoration — indicates successful intimidation of the population, though the regime's willingness to lift restrictions suggests either that the immediate crisis has passed or that economic and diplomatic costs had become unsustainable.
On 26 May, the Office of Personnel Management posted a draft rule to the Federal Register proposing government-wide non-disclosure agreements for all federal employees, both new hires and existing staff. The move marks an unprecedented expansion of secrecy requirements across the roughly 2 million-strong federal workforce, where such agreements have historically been confined to classified or national security positions.
The proposed NDAs would cover information relating to internal agency operations, personnel matters, procurement processes, and any sensitive, pre-decisional or deliberative material not currently publicly available, according to CNN. The administration justified the measure by citing recent leaks about immigration enforcement operations and the secretive January raid on Venezuela that captured former President Nicolás Maduro, which officials claim endangered the lives of federal agents and military personnel. The draft agreement would allow the government to pursue civil and criminal penalties against employees who disclose covered information, and grants the administration rights to royalties received from such disclosures—a provision whose practical application remains unclear. Former employees would require written permission from authorized agency officials to speak publicly about confidential information even after leaving government service, with the agreement remaining effective for five years post-employment.
While the draft explicitly preserves rights to make disclosures authorized by law, including under the Whistleblower Protection Act, civil liberties advocates and federal unions have raised constitutional concerns. Everett Kelley, national president of the American Federation of Government Employees, characterized the proposal as an attempt to purge nonpartisan career employees and replace them with loyalists unwilling to report waste, fraud, and abuse. Ray Limon, who served as a federal government attorney and human resources leader for nearly three decades, told NPR that such broad language could discourage lawful whistleblower disclosures despite the stated protections. Lauren Harper of the Freedom of the Press Foundation described the policy as "dangerously secretive," warning it would undermine transparency mechanisms that have historically exposed government wrongdoing.
The proposal, which enters a 30-day public comment period following its Federal Register publication, would permit individual agencies to decide whether to implement the agreements. A separate draft rule proposed in 2025 suggested that refusal to sign could result in termination or debarment from future federal employment. OPM Director Scott Kupor defended the measure by comparing it to private-sector confidentiality agreements, stating that the federal government should not be held to a lower standard in protecting sensitive information. The initiative forms part of the Trump administration's broader campaign to control information flows from federal agencies, following earlier moves including NDAs imposed at the Pentagon in October 2025 and restrictions on press access to military facilities.
Generated at 2026-05-29 05:40 UTC