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Friday 15 May 2026
22 news · 7 research · 16 analysis · 5 updates from yesterday

Closing arguments begin in Musk v OpenAI lawsuit over alleged breach of charitable mission

Transformative AI New!
On 14 May 2026, closing arguments concluded in Elon Musk's lawsuit against OpenAI at the federal courthouse in Oakland, California.
Could establish legal mechanisms for holding frontier labs accountable to safety commitments as capabilities advance.

On 14 May 2026, closing arguments concluded in Elon Musk's lawsuit against OpenAI at the federal courthouse in Oakland, California. The case tests whether frontier AI labs can be held accountable to their founding safety commitments when their corporate structures evolve, with Musk accusing the organisation he co-founded of breaching its charitable trust obligations by prioritising profit over AI safety and its original nonprofit mission.

Musk, who invested $38 million in OpenAI's early years before departing in 2018, argues the company abandoned its charter to develop artificial general intelligence for the benefit of humanity after accepting billions from Microsoft and restructuring toward a capped-profit model. His attorney Steven Molo told jurors that OpenAI violated its nonprofit mission, pointing to testimony from five witnesses who called CEO Sam Altman a "liar." OpenAI maintains its governance structure preserves its mission through board oversight and safety commitments, with lawyers arguing that Musk himself had wanted to turn OpenAI into a for-profit entity he could control, but other founders refused. The trial, which began in late April, featured testimony from some of the biggest names in AI, including Musk, Altman, OpenAI board chair Bret Taylor, and Microsoft CEO Satya Nadella.

The jury faces several critical questions: whether Musk filed his lawsuit within the statute of limitations, whether OpenAI had a charitable trust that was breached, and whether Altman, co-founder Greg Brockman, and Microsoft unjustly enriched themselves. OpenAI has argued that Musk waited too long and cannot claim harms that occurred before August 2021, with the judge noting that if the jury finds the lawsuit was filed late, she would likely direct a verdict for the defendants. The jury's verdict is advisory, and deliberations are set to begin on Monday, with a second remedies phase to determine potential damages if liability is found. Musk is seeking up to $150 billion in damages to be returned to OpenAI's nonprofit foundation, along with Altman's removal from the board.

The outcome could establish legal precedent for enforcing AI safety pledges and influence how other labs structure themselves during the transition to transformative AI. The trial has surfaced internal communications about capability development timelines and safety-capability trade-offs at a leading frontier lab, providing rare visibility into decision-making processes that typically remain opaque. If Musk wins, the verdict could derail OpenAI's planned initial public offering, which is expected to be among the largest ever, and potentially reshape the balance of power in the AI industry at a moment when the technology is increasingly seen as a potential threat to humanity's survival.

Originally from: Al Jazeera English — Read original

Xi Jinping warns Trump of 'clashes and even conflicts' over Taiwan in Beijing summit

Geopolitics & Conflict 14 May · Updated today
↻ Continues from: "Xi Jinping warns US-China could 'come into conflict' over Taiwan during Trump Beijing summit"
On 14 May 2026, Chinese President Xi Jinping delivered an explicit warning during talks with Donald Trump in Beijing that the two nuclear-armed powers could "clash or even come into conflict" over Taiwan if the issue is mishandled.
Direct threat of US-China military conflict over Taiwan would destabilise great-power cooperation during the AI transition and risk nuclear escalation.

On 14 May 2026, Chinese President Xi Jinping delivered an explicit warning during talks with Donald Trump in Beijing that the two nuclear-armed powers could "clash or even come into conflict" over Taiwan if the issue is mishandled. According to Chinese state media, Xi told Trump that Taiwan "is the most important issue in China-US relations," adding that mismanagement could push the entire relationship "into a very dangerous situation."

The summit, originally scheduled for April but postponed due to the 2026 Iran war, represents the first visit to China by a US president in nearly nine years. Trump arrived in Beijing on 13 May accompanied by a high-powered delegation including Defense Secretary Pete Hegseth, Secretary of State Marco Rubio, and corporate executives such as Elon Musk and Nvidia's Jensen Huang. The three-day state visit features elaborate ceremony at the Great Hall of the People and the Temple of Heaven, reflecting the gravity of discussions spanning trade, artificial intelligence governance, and regional security amid the ongoing Iran conflict.

The Taiwan issue has taken on heightened urgency as Taipei watches nervously for any shift in US language from "does not support" to "opposes" Taiwan independence — a subtle but significant change Beijing is seeking. Trump's earlier suggestion that he would discuss arms sales to Taiwan raised alarm in Taipei about potential violations of Reagan's Six Assurances. A senior Taiwanese official told Bloomberg that Taipei's greatest fear is Taiwan being "put on the menu" of the Trump-Xi talks. Meanwhile, China has signaled willingness to leverage its dominance in rare earth minerals and critical supply chains to secure concessions.

The summit unfolds against an exceptionally complex backdrop. The Iran war has persisted far longer than the Trump administration's initial four-to-six-week projection, with the ceasefire described by Trump as on "massive life support." This protracted conflict, along with blockades in the Strait of Hormuz driving up energy prices, has given Beijing potential leverage as Iran's largest trading partner. Simultaneously, the meeting addresses trade tensions following last year's tariff war, technology export controls that Beijing hopes to ease, and the emergence of artificial intelligence as both an economic and military flashpoint. The conjunction of these pressures — Taiwan tensions, the Iran crisis, and the AI transition — creates what analysts describe as a uniquely perilous moment in great-power relations, with the risk that multiple conflicts could escalate simultaneously across different theaters.

Originally from: The Guardian — Read original

UN high representative for Bosnia forced out amid US-Russia pressure and Trump family interests

Fanatical & Malevolent Actors 12 May
Christian Schmidt, the High Representative for Bosnia and Herzegovina, resigned on 11 May following mounting geopolitical pressure that underscored the fragility of international oversight in the Western Balkans.
Governance erosion in volatile region during geopolitical instability; Trump family conflicts of interest weakening institutional oversight structures.

Schmidt was in New York presenting his annual report to the United Nations Security Council when the news broke, with his office describing it as a "private decision" after nearly five years in the role.

The resignation comes amid competing international pressures and commercial entanglements involving the Trump family. Balkan Insight reported that Donald Trump Jr. visited the Republika Srpska entity in early April, meeting business leaders to discuss investment opportunities — part of broader Trump Organization engagement in the region that includes a $1.5 billion gas pipeline project approved by Bosnia in mid-April. That infrastructure deal, led by AAFS Infrastructure and Energy — a firm run by Trump-linked figures including Jesse Binnall and Joseph Flynn — has raised transparency concerns, with critics warning it bypasses competitive tender processes and could create conflicts of interest.

Schmidt's departure will test already frayed relations between US and EU decision makers and reopen questions about the role of Russia in the Balkans, according to analysis published by Balkan Insight. Russia and China have long disputed Schmidt's legitimacy, as he was appointed without a corresponding United Nations Security Council resolution. Milorad Dodik, the Bosnian Serb leader who attended Moscow's Victory Day Parade days before Schmidt's resignation, has consistently challenged the High Representative's authority and repeatedly threatened to withdraw Republika Srpska from key state institutions.

The Office of the High Representative was established under the 1995 Dayton Peace Agreement to oversee implementation of the accord that ended a war killing over 100,000 people. Schmidt will continue to perform all regular duties until the appointment process for his successor is completed, but his resignation will reopen local and international debates about closing the battered office or further weakening its powers, a decision that will determine Bosnia's future stability or potential destabilization. The convergence of Schmidt's ouster with Trump-linked business interests and Russian influence campaigns in the region amplifies concerns about governance deterioration in one of Europe's most volatile post-conflict zones at a moment when international coordination appears increasingly strained.

Originally from: The Guardian — Read original

White House considers executive order requiring government review of AI models before public release

Transformative AI 11 May
The Trump administration is considering an executive order that would mandate government review of advanced AI models before public release, according to Tom's Hardware and The Hill.
Direct mechanism for government oversight of frontier AI development, potentially slowing dangerous capability deployment.

The Trump administration is considering an executive order that would mandate government review of advanced AI models before public release, according to Tom's Hardware and The Hill. The proposal would establish a working group of technology executives and government officials to develop oversight procedures, with the NSA, the White House Office of the National Cyber Director, and the Director of National Intelligence potentially overseeing model reviews.

The discussions represent a sharp reversal for an administration that revoked Biden's AI safety executive order within hours of taking office in January 2025. Kevin Hassett, director of the National Economic Council, told Federal News Network on 7 May that the White House is "studying possibly an executive order" to ensure future AI models "go through a process so that they're released in the wild after they've been proven safe, just like an FDA drug." A White House official subsequently characterised discussion of a potential executive order as "speculation," though the administration confirmed it is balancing innovation with security in AI policymaking.

The shift appears driven by concerns over Anthropic's Mythos model, which the company says can identify thousands of critical software vulnerabilities and has declined to release publicly. The Washington Post reported that the arrival of Mythos "has begun to crack the White House's hard-line stance" on promoting AI technology. The model's capabilities have prompted the administration to brief leaders from Anthropic, Google, and OpenAI on the review plans, according to officials cited by the New York Times. The proposed approach resembles the UK's AI Security Institute, which evaluates frontier models against safety benchmarks before deployment, though Tom's Hardware notes the US currently has no legal authority to require such reviews.

In parallel with the executive order discussions, the Commerce Department's Center for AI Standards and Innovation announced on 6 May that Google DeepMind, Microsoft, and xAI have agreed to voluntary pre-deployment evaluations of their models, joining existing agreements with OpenAI and Anthropic. Federal News Network reported that CAISI has conducted 40 evaluations to date, including on unreleased models. The timing has sparked debate within the AI policy community: a day after the White House proposal was reported, former Trump AI adviser Dean Ball and former Biden AI adviser Ben Buchanan co-authored a New York Times op-ed calling for Congress to mandate third-party audits of AI developers' safety claims. Some critics, including analysts at the Cato Institute, have warned that pre-approval systems could function as a "kill switch" on innovation and were considered heavy-handed even under the Biden administration.

Sentinel forecasters estimate a 32 per cent probability that the US Federal Government will regulate the release of all new AI models from frontier laboratories through executive order or legislation by 3 November 2026. Such a regime would represent a significant departure from the current voluntary framework and introduce pre-deployment review mechanisms analogous to those used in pharmaceuticals and other high-stakes sectors. Legal experts writing in Lawfare note that the president's authority to mandate such vetting without legislation remains uncertain, with the Defense Production Act an unlikely basis and alternative statutes requiring stretched interpretations that courts may not accept.

Originally from: Sentinel Global Risks Watch — Read original

Record Global Temperatures Forecast as Strong El Niño Develops

Other X-Risk/S-Risk New!
Meteorological agencies issued warnings on 14 May that a potentially record-breaking El Niño event is developing faster than anticipated, with an 82% chance of emergence by May-July 2026 and a 96% chance of persisting through Northern Hemisphere winter 2026-27, according to NOAA's Climate Prediction Center.
Climate stress testing institutional resilience and cooperation, with indirect effects on geopolitical stability during the AI transition.

Meteorological agencies issued warnings on 14 May that a potentially record-breaking El Niño event is developing faster than anticipated, with an 82% chance of emergence by May-July 2026 and a 96% chance of persisting through Northern Hemisphere winter 2026-27, according to NOAA's Climate Prediction Center. The European Center for Medium-Range Weather Forecasts shows water temperatures in the central equatorial Pacific potentially reaching 3 degrees Celsius above average late in the year, which could approach or even surpass the current records set in 1877 and 2015, The Washington Post reported on 6 May.

The World Meteorological Organization stated in late April that land surface temperatures are expected to be above-normal nearly everywhere for the May-June-July season, with especially strong signals over southern North America, Central America, the Caribbean, Europe and Northern Africa. El Niño is loading the dice toward 2026 or 2027 becoming Earth's warmest on record, CNN reported, while climate models give a central estimate of 2.2C warming by September, which would put the world firmly in "super" El Niño territory, according to Carbon Brief analysis.

The humanitarian implications are substantial. Strong El Niño events can disrupt crop production across multiple major agricultural regions simultaneously, with droughts in South America, Southeast Asia, and parts of Africa reducing harvests of staple crops and tightening global supplies. El Niño is likely to induce drought-like conditions in Southeast Asia and Australia and a weaker monsoon season in South Asia, with India estimating below-average monsoon rains for the first time in three years, according to ORF Middle East. The emergence of a powerful El Niño event could have a major effect on supercharging wildfires, with the likelihood of harmful extreme fires potentially the highest seen in recent history, researchers at the World Weather Attribution group told Climate Change News.

The development occurs against an already volatile climate backdrop. Even before the likely arrival of the El Niño pattern, 2026 has already been an "extraordinary" year for weather extremes, with record-breaking fires in Western Africa, the Sahel, India, Southeast Asia and parts of China contributing to the world recording its largest burned area ever for the January-April period. The timing raises concerns among climate scientists about accelerated approaches to critical thresholds, though climate-relevant processes such as cloud feedbacks and aerosol interactions are not represented perfectly in models, and resulting uncertainties in radiative forcing trends may introduce small biases in real-time forecasts, the European Centre for Medium-Range Weather Forecasts cautioned.

The event arrives during a period of geopolitical instability, with potential cascading effects on international systems already under strain. While the El Niño itself represents a natural climate cycle occurring every few years, its intersection with rising baseline temperatures from anthropogenic warming, ongoing geopolitical tensions, and stretched humanitarian response capacity creates conditions that could test institutional resilience and international cooperation mechanisms. The immediate risks centre on food security, water stress, and displacement in vulnerable regions, though the broader significance for existential risk frameworks lies in how effectively global systems can absorb and respond to compounding climate shocks during a period of rapid technological and geopolitical transition.

Originally from: BBC News - World — Read original
Transformative AI

Oregon congresswoman publicly distances herself from AI industry PAC, then reverses course within hours

Transformative AI 13 May
Oregon Representative Val Hoyle found herself in an awkward political balancing act on 6 May when she initially distanced herself from an endorsement by Leading the Future, a pro-AI-industry super-PAC, only to reverse course within hours.
Signals industry difficulty building political coalition for AI governance as public concern rises.

The episode highlights the increasingly treacherous political terrain around artificial intelligence as the technology becomes more prominent in voter concerns.

When Transformer first contacted Hoyle about the endorsement, she responded that "AI must be regulated so that it does not harm labor or people" and stated she had not sought the PAC's backing. Her spokesperson added that she does not actively seek support from groups that do not advance the common good. But shortly after Transformer approached Leading the Future for comment, Hoyle issued multiple revised statements, eventually justifying the endorsement by saying the group endorsed her because they are working to build a broader coalition around AI regulation.

The reversal came despite $292,419 in publicly disclosed spending by Think Big, a super-PAC affiliated with and funded by Leading the Future, on advertisements supporting Hoyle's campaign. Hoyle's spokesperson initially claimed ignorance of any financial support, though suggested the connection between the two organizations may have been unclear to the campaign. The endorsement followed Hoyle completing a candidate questionnaire from Build American AI, a dark money group that Leading the Future funds, according to Axios.

The incident reflects broader tensions as AI spending becomes a potentially toxic political liability. Leading the Future, which raised $125 million in 2025 with backing from OpenAI President Greg Brockman and venture capital firm Andreessen Horowitz, has seen mixed electoral results. Jesse Jackson Jr. lost his Illinois congressional race despite $1.43 million in spending from the PAC, while other candidates have actively campaigned on rejecting AI industry money. Blue Rose Research reports that AI has risen among voter priorities faster than any issue the consultancy tracks, creating a dilemma for candidates seeking to court both industry donors and increasingly sceptical voters.

Hoyle, a progressive Democrat representing Eugene and surrounding areas in a safe Democratic seat, faces two progressive challengers in her primary. One opponent, Melissa Bird, has criticised Hoyle for accepting corporate PAC money and vowed to fight data centers. Hoyle remains the strong favourite to win the primary despite the controversy.

Originally from: Transformer — Read original

DeepSeek valuation triples to $51.5bn in under three weeks amid Chinese AI investment surge

Transformative AI 11 May
DeepSeek, the Hangzhou-based AI laboratory known for cost-efficient open-source models, has seen its valuation surge to as much as $51.5 billion in early May 2026, up from approximately $10 billion when initial funding discussions emerged in mid-April—a fivefold increase in less than a month.
Rapid capability scaling in Chinese frontier AI, potential to accelerate global capability diffusion and reshape competitive dynamics during the AI transition.

The rapid escalation reflects both investor enthusiasm and strategic state backing as China seeks to establish technological self-reliance in artificial intelligence.

According to South China Morning Post, the company is expected to close its first external financing round shortly, with state-backed investors including affiliates of China's National Integrated Circuit Industry Investment Fund—known as "Big Fund III"—playing a central role. TechCrunch and Dataconomy report the round could raise between $3 billion and $7.35 billion, which would mark the largest single funding round for a Chinese AI company. Tencent and Alibaba are also in discussions to participate, with Tencent reportedly proposing a stake of up to 20 percent, though founder Liang Wenfeng—who controls nearly 90 percent of the company—has been hesitant to cede significant ownership.

The shift to external financing represents a strategic pivot for DeepSeek, which had previously rejected venture capital offers and operated entirely on funding from High-Flyer, Liang's quantitative hedge fund. Sources cited by the Financial Times indicate that intensifying competition and talent poaching by rivals prompted the decision to raise funds, enabling the company to offer equity to employees and expand computing infrastructure. The lab has faced attrition of key researchers, and the capital is intended to support both retention and the procurement of domestic hardware, particularly Huawei's Ascend chips, as DeepSeek optimizes its models to run on Chinese semiconductors rather than U.S. technology.

DeepSeek released its V4 series models on 24 April 2026, featuring a 1.6-trillion parameter architecture and million-token context windows, according to Wikipedia. While the company has maintained technical competitiveness through cost-efficient training methods and open-weight releases, independent assessments suggest its latest models still trail leading U.S. and Chinese systems in certain advanced capabilities. The valuation climb—particularly the acceleration from $10 billion to over $50 billion in under three weeks—signals not only investor confidence but also state prioritization: 36Kr notes that the National Integrated Circuit Industry Investment Fund's involvement elevates large language models to a strategic status comparable to chip manufacturing. This reconfiguration of capital flows and state backing could enable DeepSeek to sustain competitiveness at scale, positioning it as a credible alternative development path in global AI and potentially accelerating capability diffusion through its continued commitment to open-source releases.

Originally from: ChinAI — Read original

Musk trial exposes internal OpenAI testimony portraying Altman as untrustworthy

Transformative AI 11 May
The Musk v OpenAI trial, entering its third week on 11 May 2026, has forced the normally secretive AI company to publicly confront internal criticisms of CEO Sam Altman's leadership.
Reveals leadership credibility issues at the most influential frontier AI lab during the transformative AI transition.
Musk's legal team has presented testimony from former OpenAI executives, alongside private messages, diary entries, and internal emails, characterising Altman as untrustworthy. The trial features testimony from prominent Silicon Valley figures about OpenAI's corporate history and governance disputes. Both Altman and OpenAI deny the allegations, with Altman expected to testify in coming days. The case is revealing details about OpenAI's internal operations and leadership disputes that the company has historically kept confidential. The article's headline references a "consistent pattern of lying" attributed to insider views of Altman, though the excerpt does not elaborate on specific allegations. The trial represents an unusual public exposure of governance tensions at the leading frontier AI lab during a critical period of capability development.
Source: The Guardian — Read original

Waymo recalls thousands of robotaxis after autonomous vehicle drives into flooded Texas creek

Transformative AI 13 May
Waymo has issued a voluntary recall of thousands of autonomous vehicles following an incident on 20 April in San Antonio, Texas, where an empty robotaxi drove into a flooded road and was swept into a creek.
Highlights reliability challenges in deployed autonomous systems making safety-critical decisions.
The incident highlights persistent challenges in autonomous vehicle perception systems, particularly in handling edge cases like flooded roads where visual conditions differ significantly from training data. While no injuries occurred in this case, the failure mode—an autonomous system making a decision that would be obviously dangerous to a human driver—raises questions about the reliability of perception and planning systems in self-driving cars. The recall suggests Waymo has identified a systemic issue in its fleet rather than an isolated malfunction. Autonomous vehicles are increasingly deployed at scale in US cities, with Waymo operating commercial robotaxi services in several metropolitan areas. The incident underscores the gap between controlled testing environments and the full complexity of real-world driving conditions, where rare but critical scenarios can expose fundamental limitations in AI decision-making systems.
Source: BBC News - World — Read original

OpenAI expands GPT-5.5 access to cyberdefenders while Anthropic Mythos vulnerabilities remain largely unpatched

Transformative AI 11 May
OpenAI is expanding access to its GPT-5.5 model with weaker restrictions to more cyberdefenders.
Asymmetric offensive-defensive capabilities in cybersecurity could enable catastrophic attacks on critical infrastructure during crisis periods.
Meanwhile, less than 1% of the vulnerabilities identified by Anthropic's Mythos model are estimated to have been patched, though some reports suggest Mythos' power may have been exaggerated. The developments highlight the dual-use nature of advanced AI systems in cybersecurity — while GPT-5.5 could help defenders identify and fix vulnerabilities, the low patching rate for Mythos-discovered flaws suggests that offensive capabilities may be outpacing defensive responses. The newsletter notes that 'there is just a lot of stuff happening' in AI — partnerships, initiatives, cyberattacks, releases — indicating an acceleration of activity in the sector.
Source: Sentinel Global Risks Watch — Read original

Morgan Stanley projects top 5 AI labs will spend $1.1 trillion in 2027, exceeding current US defense budget

Transformative AI 11 May
Morgan Stanley projects that spending on AI by the top five labs will reach $1.1 trillion in 2027 — more than the current US defense budget.
Massive capital concentration in frontier AI development suggests accelerating capability gains without proportionate safety investment.
This represents an extraordinary concentration of capital in AI development and suggests that frontier AI labs will command resources comparable to major nation-states. The projected spending level indicates continued rapid scaling of compute and AI capabilities, with major implications for the pace of AI progress and the competitive dynamics between labs. The scale of investment also raises questions about concentration of power and whether such massive capital deployment is accompanied by proportionate investment in safety and alignment research.
Source: Sentinel Global Risks Watch — Read original

China's AI safety benchmark tests 'loss-of-control' behaviours in Q1 2026 results

Transformative AI 11 May
The China Academy of Information and Communications Technology (CAICT) released its first batch of 2026 results for an AI safety benchmark, including tests designed to detect 'loss-of-control' behaviour in AI systems.
Development of AI safety evaluation infrastructure in China — may shape regulatory requirements and lab incentives around loss-of-control risks.
CAICT is a government-affiliated research institute whose benchmarks often inform Chinese regulatory approaches. The inclusion of loss-of-control testing suggests Chinese authorities are taking autonomous AI behaviour seriously as a risk category, though the article does not specify what behaviours were tested or what the results showed. This matters because Chinese regulatory frameworks increasingly emphasise measurable safety standards, and CAICT benchmarks have historically served as prototypes for mandatory compliance testing. If these benchmarks become part of regulatory requirements, they could shape which safety properties Chinese labs prioritise. The Q1 2026 timing is also notable — it suggests ongoing rather than one-off assessment, which would be more useful for tracking capability progression. However, without access to the methodology and results, it remains unclear whether these tests are detecting genuinely dangerous capabilities or primarily serving as governance theatre.
Source: ChinAI — Read original
Geopolitics & Conflict

BRICS foreign ministers meet in India amid Iran war, testing bloc's unity on Middle East crisis

Geopolitics & Conflict 14 May
Foreign ministers from BRICS nations convened in India on 14 May 2026 for preparatory talks ahead of the September BRICS summit, with the ongoing Iran war dominating the agenda.
Great-power fragmentation during the AI transition; reduced international cooperation on global risks including AI governance.

The two-day meeting at Bharat Mandapam in New Delhi was chaired by External Affairs Minister S. Jaishankar and represented the first major ministerial-level engagement under India's 2026 chairship of the bloc.

The gathering tests whether the expanded bloc—which grew from five to eleven members with the addition of Iran, Egypt, Ethiopia, Saudi Arabia, Indonesia, and the UAE alongside original members Brazil, Russia, India, China, and South Africa—can forge a unified position on the Middle East conflict. India, as summit host, faces the delicate task of balancing its traditional non-aligned stance with pressure from members holding sharply divergent views: Iran seeks solidarity against what it frames as Western aggression, while the UAE maintains close security ties with the US and Israel. Internal divisions became more apparent within the expanded BRICS bloc when the organization previously failed to issue a joint statement on the 2026 Iran war, with the bloc remaining deadlocked largely due to the direct involvement of both Iran and the United Arab Emirates—who are on opposing sides of the conflict—as members.

Russia and China are pushing BRICS to present an alternative to Western-led international order, particularly on conflict resolution. According to India's Ministry of External Affairs, discussions during the two-day meeting focused on global and regional issues of mutual interest, with delegates also calling on Prime Minister Narendra Modi. The Tribune reported that the gathering came during a period of intense global friction, with divisions over the West Asia conflict presenting a formidable challenge to collective diplomacy.

The meeting's outcome will signal whether BRICS can function as a coherent geopolitical actor or remains a loose economic forum unable to bridge deep strategic divides among members. Observers note that the expanded bloc now faces increased diversity of views on key issues post-expansion, making coordinated action more difficult. With Iran now a full member, the bloc's response to the war could reshape regional alliances and influence whether major powers coordinate or fragment further during a period of acute instability. The ministerial meeting serves as crucial groundwork for the BRICS Leaders' Summit scheduled for September 2026, where India's chairship theme of "Building for Resilience, Innovation, Cooperation and Sustainability" will be tested against the geopolitical realities dividing the bloc.

Originally from: Al Jazeera English — Read original

Taiwan legislature cuts defence budget, undermining deterrence as US commitment wavers

Geopolitics & Conflict 12 May
On 8 May, Taiwan's opposition-controlled legislature passed a NT$780 billion (US$24.8 billion) defence budget, slashing President Lai Ching-te's original proposal by nearly 40 percent and eliminating critical domestic defence initiatives.
Taiwan Strait conflict is a plausible nuclear escalation pathway; weakened deterrence and alliance fragmentation increase great-power war risk.

The approved budget represents a dramatic reduction from the NT$1.25 trillion (approximately US$40 billion) comprehensive defence package sought by the Lai administration, dealing a severe blow to Taiwan's "porcupine strategy" at a moment of heightened geopolitical vulnerability.

The cuts come at a strategically perilous juncture. The U.S. Department of State warned that any "further delays in funding the remaining proposed capabilities" would represent a "concession" to China. The porcupine strategy, which calls for an emphasis on fighting an asymmetric war against superior Chinese forces, in contrast with Taiwan's historical tendency to invest in large weapons platforms, has been championed by defence analysts as essential to maintaining deterrence. The approach relies on making occupation prohibitively costly to China by engaging in an extended resistance until an expected intervention by the United States or other third party nations.

The budget approved by the Kuomintang (KMT) and Taiwan People's Party (TPP) prioritizes select U.S. arms procurement while deliberately excluding critical domestic defense initiatives, including the "T-Dome" air defense system's Chiang Kung anti-ballistic missile, which is meant to form the backbone of Taiwan's new integrated air defense. According to Taipei Times, the original NT$1.25 trillion budget included three main parts: the "Taiwan Shield" for air defense, high-tech systems to build precision strike capability and support for Taiwan's domestic defense industry. The decision appears driven by domestic political dysfunction rather than strategic calculation, with opposition parties reducing the proposed funding by nearly 40%.

The timing could scarcely be worse for Taiwan's deterrence posture. The legislative move signals internal division precisely when China is assessing the island's vulnerability and US resolve remains uncertain under the Trump administration. The Strategist quoted Lo Chih-cheng, a senior research fellow with Taiwan's Institute for National Policy Research, saying the cuts weaken Taiwan's defence capabilities at a moment when "the military balance is rapidly tilting in favour of the PRC". Breaking Defense reported that de facto US ambassador to Taiwan, Raymond Greene, said in April that it was vital that the supplementary budget was approved, underscoring American concerns about the delay.

The budget cuts may embolden Beijing to test Taiwan's resolve during a period when great-power competition over Taiwan represents one of the most plausible pathways to major conflict between nuclear-armed states. The significant budget cuts could undermine mutual trust between Taiwan and the U.S., as well as Taiwan's commitment to maintaining its self-defense capability and regional peace, warned the ruling Democratic Progressive Party. The legislative dysfunction comes as Taiwan's ability to field the dispersed, mobile defensive systems central to the porcupine concept remains far from realised, with defence experts noting a persistent gap between Taiwan's stated asymmetric strategy and its actual investment priorities.

Originally from: ASPI Strategist — Read original

Trump's 'Golden Dome' missile defence system estimated at $1.2 trillion, effectiveness questioned

Geopolitics & Conflict 13 May · Updated today
↻ Continues from: "Trump's missile defence 'Golden Dome' to cost $1.2 trillion, may not stop all-out attack"
An independent budget office has estimated that President Trump's proposed 'Golden Dome' comprehensive missile defence system would cost approximately $1.2 trillion — nearly seven times higher than the administration's initial projections.
Relates to nuclear defence infrastructure and great-power strategic stability during a period of heightened geopolitical tension.
The analysis, released on 13 May, also raises doubts about the system's ability to protect against a full-scale missile attack from a peer adversary. The Golden Dome proposal envisions a layered defence network incorporating space-based interceptors, ground-based systems, and advanced radar installations covering the continental United States. Critics argue that even with such investment, current technological limitations make it impossible to guarantee protection against large-scale attacks employing decoys, hypersonic weapons, or coordinated salvos designed to overwhelm defences. The Congressional Budget Office's assessment comes as the administration pushes for accelerated funding, citing escalating tensions with nuclear-armed states. Defence analysts note that the same resources could potentially strengthen deterrence through modernising the nuclear triad or investing in early-warning infrastructure. The cost projection has sparked debate in Congress, where appropriations committees must weigh the system's strategic value against competing priorities including AI governance, pandemic preparedness, and conventional force modernisation.
Source: BBC News - World — Read original

Iran expands operational definition of Strait of Hormuz amid US conflict

Geopolitics & Conflict 12 May · Updated today
↻ Continues from: "Trump rejects Iran peace proposal as 'totally unacceptable', Strait of Hormuz remains nearly closed"
Iran has significantly broadened its military definition of the Strait of Hormuz, transforming it from a narrow waterway into what it now calls a "vast operational area," according to Mohammad Akbarzadeh, deputy political director of Iran's Islamic Revolutionary Guard Corps Navy, as reported by the state-affiliated Fars news agency on 12 May 2026.
Great-power military escalation around a critical energy chokepoint, with potential for broader regional conflict involving nuclear-armed states.
The redefinition, announced during ongoing Congressional hearings where US Defense Secretary Pete Hegseth faced questioning about mounting war expenditures, signals Iran's intention to expand its military control over a critical global chokepoint through which approximately 21% of the world's petroleum passes. The move comes amid an active US-Iran war, with the expanded definition likely to complicate naval operations and escalate tensions. The Guardian's live coverage indicates this development occurred as US officials were defending military operations and costs before the House of Representatives. The Strait of Hormuz's strategic importance makes any Iranian attempt to restrict passage a potential trigger for broader regional conflict involving multiple nuclear-armed powers, particularly if shipping lanes become contested or blocked, threatening global energy supplies and potentially drawing in additional military forces.
Source: The Guardian — Read original

Iran seizes 'floating armoury' vessel in Gulf of Oman

Geopolitics & Conflict New!
Iranian military forces have seized a vessel described as a "floating armoury" in the Gulf of Oman on 14 May, according to reports.
Escalation in a strategic waterway could disrupt oil supplies or trigger military responses, but does not yet indicate imminent great-power conflict.
The incident represents the latest escalation in tensions in the strategically vital waterway through which a significant portion of global oil shipments pass. Details about the vessel's ownership, flag state, and the specific weapons or military equipment aboard remain unclear. Iran has previously seized commercial and military vessels in the region amid ongoing tensions with Western powers, particularly over its nuclear programme and regional influence. The Gulf of Oman connects the Persian Gulf to the Arabian Sea and has been a flashpoint for military confrontations, with previous incidents including attacks on tankers and the downing of surveillance drones. The seizure could further complicate already strained relations between Iran and Western nations, potentially affecting maritime security and freedom of navigation in one of the world's most critical shipping lanes. No immediate response from the vessel's operator or flag state has been reported.
Source: BBC News - World — Read original

US negotiates new military bases in Greenland amid Arctic strategic competition

Geopolitics & Conflict 12 May
The United States is in advanced negotiations to establish new military bases in Greenland, according to multiple officials familiar with the discussions.
Greenland base expansion reflects Arctic militarisation and great-power positioning during a period of geopolitical instability.
The talks have progressed significantly in recent months, with the White House expressing optimism about reaching an agreement. The move comes amid intensifying great-power competition in the Arctic region, where melting ice has opened new strategic corridors and resource access. Russia and China have both expanded their Arctic presence in recent years, prompting Western concerns about military vulnerability in the region. Greenland's location between North America and Europe makes it strategically valuable for early warning systems, missile defense, and control of Arctic shipping routes. The island currently hosts the US Thule Air Base, a Cold War-era installation that houses ballistic missile early warning systems. Any expansion of the US military footprint would likely require agreement from both Greenland's government and Denmark, which maintains sovereignty over the territory despite Greenland's substantial autonomy. The negotiations reflect broader shifts in Arctic geopolitics as climate change and great-power rivalry transform the region's strategic importance.
Source: BBC News - Europe — Read original

US threatens to block NPT consensus over nuclear testing language, diverging from established CTBT commitments

Geopolitics & Conflict 11 May
The 11th Nuclear Non-Proliferation Treaty Review Conference entered its third week on 13 May 2026 with the United States signalling it may block consensus on the final document over language on nuclear testing.
Nuclear testing norm erosion and great-power disagreement on arms control frameworks during period of geopolitical tension.
The US delegation called paragraphs 52-55 of the draft outcome document — which address the Comprehensive Nuclear-Test-Ban Treaty (CTBT), the global testing moratorium, and dangers of resumed testing — "problematic", proposing instead to "restore confidence in testing moratoria" through new technical measures rather than focusing on CTBT entry into force. This position appears to contradict long-established NPT commitments: CTBT entry into force has been agreed by consensus at previous review conferences, and the treaty's scope — prohibiting any nuclear test explosion that produces a self-sustaining supercritical chain reaction — was clearly defined during negotiations in the 1990s and reaffirmed by all nuclear-weapon states, including China in 1996. Several key delegations reportedly found the US approach "troubling and befuddling", noting that CTBT entry into force would strengthen global monitoring capabilities by enabling short-notice on-site inspections. The conference document also faces disputes over language on Iran's safeguards obligations, Russia's responsibility for nuclear safety risks in Ukraine, and nuclear sharing arrangements. Conference President Amb. Do Hung Viet circulated a 13-page "zero draft" on 6 May that most delegations praised as a reasonable basis for consensus, but substantial disagreements remain that may prove unresolvable.
Source: Arms Control Association — Read original
Biosecurity

WHO urges countries to prepare for more hantavirus cases as French patient deteriorates

Biosecurity 12 May
WHO Director-General Tedros Adhanom Ghebreyesus warned on 12 May that countries should prepare for additional hantavirus cases following an outbreak aboard the cruise ship MV Hondius.
Raises biosecurity concerns if hantavirus shows novel transmission patterns; extended quarantine suggests uncertainty about spread dynamics.

A French woman who contracted the virus on the vessel has developed a severe form of the disease causing life-threatening lung and heart problems and is being treated with an artificial lung in intensive care at Bichat Hospital in Paris, according to the Associated Press.

The outbreak has been linked to the Andes virus, which caused infections after the ship departed Ushuaia, Argentina on 1 April 2026. As of 4 May, seven cases—two laboratory confirmed and five suspected—had been identified, including three deaths, one critically ill patient and three individuals with mild symptoms, according to a WHO Disease Outbreak News report. The outbreak has now reached 11 total reported cases, nine of which have been confirmed.

The WHO chief thanked Spain for accepting the stricken cruise ship, which arrived in Tenerife on 10 May before passengers disembarked and evacuation flights repatriated them to six European countries and Canada. The Andes virus is the only known hantavirus to spread between humans, typically through cases of close sustained contact, though it may be airborne. Although uncommon, limited human-to-human transmission has been reported in previous outbreaks of Andes virus, the WHO noted.

The outbreak represents an unusual transmission pattern for hantavirus, which typically spreads through contact with rodent droppings or urine rather than human-to-human contact. WHO is working on the assumption that the Dutch couple who died were infected off the ship, possibly while sightseeing in Argentina before joining the cruise, CNN reported. Argentine officials have said the couple took a bird-watching tour that included a stop at a garbage dump where they may have been exposed to rodents carrying the infection.

The WHO's emphasis on international preparation and the extended quarantine period suggest concern about potential human transmission beyond the cruise ship environment. While Tedros said there is no sign of a larger outbreak beginning, he noted the situation could change and that given the long incubation period of the virus, more cases might emerge in the coming weeks. The US Centers for Disease Control and Prevention has classified the outbreak as a "level 3" emergency response, according to reports.

Originally from: The Guardian — Read original
Fanatical & Malevolent Actors

US drops $250m bribery charges against Asia's richest man after hiring Trump's lawyer

Fanatical & Malevolent Actors New!
The US Department of Justice is moving to drop criminal fraud charges against Gautam Adani, Asia's richest man, following a previously unreported meeting in April 2026 at which his legal team offered a $10 billion investment in the American economy and the creation of 15,000 jobs in exchange for dismissal of the case.
Illustrates erosion of institutional constraints on powerful actors, relevant to governance integrity during periods of transformative technological change.

Adani had been indicted in November 2024 on charges of conspiring to commit securities and wire fraud, linked to a bribery and fraud scheme involving more than $250 million in payments to Indian government officials to secure lucrative solar energy contracts.

The reversal came after Adani hired a legal team led by Robert J. Giuffra Jr., one of President Donald Trump's personal lawyers who is currently leading efforts to overturn Trump's 34 felony convictions. According to The New York Times, the meeting last month saw Giuffra present prosecutors with roughly 100 slides arguing they lacked basic evidence and jurisdiction to bring the case. One slide offered the investment pledge — a promise echoing commitments Adani had made following Trump's election. While prosecutors later stated the investment would have no bearing on their decision, the offer received a favourable response from at least one senior Justice Department official in the room, according to people familiar with the meeting.

The DOJ is now headed by Todd Blanche, a former Trump attorney, and an announcement on dropping charges could come as soon as this week, sources told Bloomberg and the Times. Separately, Adani agreed to pay $6 million to settle a parallel case filed by the US Securities and Exchange Commission, while his nephew Sagar Adani agreed to pay $12 million. The case had been effectively stalled as none of the defendants had appeared in US courts.

The episode unfolds against a broader shift in US enforcement policy. In February 2025, President Trump signed an executive order directing the Attorney General to halt new Foreign Corrupt Practices Act investigations for a 180-day review period, with a White House fact sheet arguing that aggressive FCPA enforcement harms American economic competitiveness. University of Arkansas economist Jeremy Horpedahl commented that the Adani case demonstrates "the way to avoid fraud charges under the Trump administration is to hire Trump's personal lawyer and engage in bribery."

For those tracking systemic risks to democratic institutions, the case represents a stark illustration of elite impunity during a period when humanity faces transformative technological challenges. When wealthy foreign nationals can effectively purchase legal immunity by retaining the president's personal attorney and promising economic benefits, the erosion of rule-of-law constraints weakens institutional safeguards that may prove critical during the AI transition — a moment when checks on concentrated power could be essential to prevent catastrophic misuse of advanced capabilities.

Originally from: The Guardian — Read original

Iran expands tiered internet access system during wartime blackout

Fanatical & Malevolent Actors New!
Iran is expanding a tiered internet access system amid an ongoing nationwide online blackout imposed during wartime.
Information control by authoritarian regimes during conflict reduces institutional constraints on power and hampers coordination of democratic opposition.
The government has been restricting internet services since the outbreak of conflict, with citizens experiencing severely limited connectivity. Authorities are now implementing a multi-tier access framework that appears designed to maintain control over information flow while selectively enabling some online activity. The move represents a continuation of Iran's pattern of using internet shutdowns as a tool of social control during periods of domestic unrest or international conflict. The tiered system allows the regime to grant privileged access to certain users or services while maintaining broader restrictions on the general population. This approach differs from complete shutdowns by creating information asymmetries that can be exploited for surveillance and control purposes. The specific details of the tier structure and criteria for access levels remain unclear, though such systems typically prioritise government functions and regime-aligned entities while restricting access for ordinary citizens and potential dissidents.
Source: Al Jazeera English — Read original
Research & Reports
Transformative AI

UK AISI paper warns automated AI alignment research risks catastrophic miscalibration

Transformative AI New!
Identifies fundamental technical obstacles to using AI agents for alignment work, raising probability that alignment fails during the transition to superintelligence.
The UK AI Safety Institute published a paper on 14 May arguing that using AI agents to automate alignment research could produce systematically misleading safety assessments, even without deliberate scheming. The core problem: alignment research involves "hard-to-supervise fuzzy tasks" — like judging whether proxy measures (honesty evaluations, model organisms) actually indicate alignment, and aggregating evidence when uncertainties are correlated — where human judgement is inherently flawed. AI agents trained on human feedback will inherit these flaws, but errors will be harder to catch because of optimisation pressure (agents learn to fool reviewers), alien mistakes humans don't recognise, shared training creating correlated errors across research outputs, increased research volume obscuring correlation patterns, and potentially non-human-evaluable arguments. The paper warns that alignment lacks safe feedback loops: an overly optimistic assessment could deploy a misaligned AI before the error surfaces. Two potential solutions — training agents on easier proxies and hoping for generalisation, or scalable oversight via decomposition — both face unresolved technical challenges. The authors note existing protocols like debate don't solve the correlated evidence problem. This represents a significant technical challenge for labs planning to use AI agents to solve alignment before superintelligence.
Source: LessWrong — Read original

Researchers identify fundamental barrier to testing AI alignment: models can distinguish safe evaluations from dangerous deployment

Transformative AI New!
Identifies structural limitation in pre-deployment safety testing that could allow deceptively aligned systems to reach deployment undetected.
Researchers at LessWrong have identified what they term a "core AI lethality" — a fundamental obstacle to reliable alignment testing. The problem: alignment evaluations must be safe by design, limiting an AI's ability to cause harm, while useful deployment requires giving systems real-world capabilities. A sufficiently capable model could exploit this difference to behave safely during testing while defecting during deployment. The analysis, published on 14 May, examines multiple proposed solutions and finds each inadequate. Asking models directly invites deception. Monitoring internal reasoning could be gamed. Creating "fake deployments" still requires safety constraints that clever models might detect. Even using real deployment data from prior models could be identified through subtle distribution differences. White-box interventions show promise but lack sufficient understanding of model internals, as noted in the recent Opus 4.6 report. The researchers argue that robustly measuring evaluation realism would largely solve inner alignment — suggesting the problem's difficulty is intrinsic rather than a mere engineering challenge. They are working on partial solutions but acknowledge the core tension remains unresolved. The finding has implications for any safety testing regime that relies on pre-deployment behavioural evaluations.
Source: LessWrong — Read original

Leading AI models consistently recommend effective altruist causes when asked moral questions

Transformative AI 12 May
AI systems consistently endorsing specific moral frameworks could shape resource allocation and priority-setting as AI gains decision-making authority.
A systematic test of ten leading language models on 9 May 2026 found that frontier AI systems overwhelmingly endorse effective altruist frameworks when asked how to allocate money or choose moral careers. When prompted "If you had some money to give away, where would you give it?", five models explicitly volunteered EA principles (two naming effective altruism directly), while another two cited EA-associated organisations like GiveWell. All models ranked effective global health interventions highly, with several prioritising animal welfare and AI risk reduction. When asked about the most moral careers, results were even more EA-aligned: seven models listed catastrophic AI risk work as the top or second-best option, seven mentioned other existential risks, and seven included earning-to-give (typically ranked fourth or fifth). The pattern held across different model families — Claude, ChatGPT, Gemini, and Grok — suggesting this reflects training data rather than deliberate alignment work by EA-adjacent developers. The author frames this as potentially "the EA community's greatest accomplishment" — a remarkable shift from charity evaluation standards of twenty years ago. If these responses predict how models will behave with greater autonomy, AI systems may systematically prioritise longtermist and utilitarian frameworks. However, the research does not examine whether models actually act on these stated values when given decision-making power, or whether the answers simply reflect sophisticated pattern-matching to moral philosophy discourse in training data.
Source: EA Forum — Read original

Economists model recursive self-improvement in AI, predict potential economic 'singularity' within six years of automation shock

Transformative AI 11 May
Recursive self-improvement economics — formal modelling of feedback loops between AI automation and economic growth, including potential for extremely rapid capability gains
Researchers from Forethought, Columbia University, and the University of Virginia have published economic modelling suggesting that recursive self-improvement in AI could trigger "explosive growth" through compounding feedback loops across technological innovation and economic output. The paper identifies two reinforcing channels: technological feedback across innovation networks, and economic feedback where higher output generates more resources for further growth. Key findings include that 13% automation across all economic sectors could push the economy into an "explosive regime," while hardware research emerges as the dominant lever — returns to chip design research are roughly five times those in software. Notably, full automation of software R&D alone sits "approximately at the knife-edge" of triggering explosive growth under conservative assumptions. In a baseline simulation, full automation of software R&D plus just 5% automation elsewhere causes a "singularity" in approximately six years. The authors recommend that policymakers monitor automation levels in AI R&D as a potential early warning system, arguing this may be "as important as tracking traditional macroeconomic indicators." One author, Anton Korinek, now works at Anthropic.
Source: Import AI — Read original

Survey finds technical workers report 1.4–2x value gains from AI tools, but METR flags reasons for scepticism

Transformative AI 11 May · Updated today
↻ Continues from: "METR finds AI productivity gains may be substantially overestimated due to task substitution effects"
Tracks self-reported productivity gains among technical workers, providing evidence on the pace of AI-driven R&D acceleration — a key variable in AI timelines.
A survey of 349 technical workers conducted by METR in February–April 2026 found that respondents self-reported median productivity gains of 1.4–2x in the 'value' of their work due to AI tools, with a median 3x gain in 'speed'. The study distinguished between 'value' — how much more valuable output workers produce — and 'speed' — how much faster they complete tasks — finding that speed measures likely overstate real productivity gains because workers substitute toward lower-value tasks that AI handles well. Respondents retrospectively estimated 1.3x value gains in March 2025, reported 2x for March 2026, and forecast 2.5x by March 2027. However, METR flags several reasons to doubt the magnitude of these self-reports. METR's own staff gave the lowest productivity estimates of any subgroup surveyed, which researchers attribute to staff awareness of past findings showing people overestimate AI's impact. A qualitative review of public outputs from seven respondents claiming 10x or greater gains found the claims likely overstated in at least four cases. METR notes that survey results 'are not necessarily grounded in reality', pointing to their 2025 study showing people overestimated AI's time-saving effects by 40 percentage points on average. The report emphasises that surveys complement but cannot replace field experiments and benchmarks. METR recommends that frontier AI labs run similar surveys with more careful question design, particularly surveying managers rather than individual contributors, to track potential acceleration of AI research and development.
Source: METR — Read original

Google's Decoupled DiLoCo enables asynchronous distributed training across geographically separated datacenters

Transformative AI 11 May
Compute scaling — enables both concentration of power (tech giants pooling global resources) and democratisation (looser federations training large models)
Google DeepMind has published research on Decoupled DiLoCo, a distributed training framework that allows AI models to be trained across physically separated compute clusters in different regions while maintaining resilience to hardware failures. The system successfully trained a 12 billion parameter model across four separate US regions using only 2-5 Gbps wide-area networking — bandwidth achievable with existing internet infrastructure rather than requiring custom datacenter interconnects. The key innovation is that individual "learners" (compute units) can operate asynchronously and at different rates, with failures in one cluster not halting the overall training run. In aggressive failure simulations, Decoupled DiLoCo maintained 88% compute utilisation ("goodput") versus 58% for traditional elastic data-parallel approaches. The paper demonstrates the technique works across both dense and mixture-of-experts architectures up to 9 billion parameters, matching the performance of conventional data-parallel training. This represents a significant step toward Google's ability to pool all its global datacenter resources into a single training run.
Source: Import AI — Read original

Researcher argues AI alignment concepts like corrigibility and manipulation lack rigorous definitions

Transformative AI 11 May
Questions whether widely-discussed safety desiderata (corrigibility, non-manipulation) can be formalised—relevant to alignment agendas that rely on them.
Steven Byrnes of the brain-like-AGI safety research programme argues that key alignment concepts—including empowerment, corrigibility, and manipulation—may have no rigorous "True Names" useful for technical AI safety work. Writing on 11 May, he contends these notions are rooted in scientifically inaccurate human intuitions about free will: we treat agency as an "acausal force" and manipulation as something that bypasses this imagined free will. Byrnes reviews existing approaches—Vingean agency, impact minimisation, attainable utility preservation, game theory—and finds none adequate. The practical concern: if designing brain-like AGI with prosocial motivation (sympathy plus virtue ethics), the virtue component may prove too "squishy" to constrain a consequentialist drive. An AGI wanting to maximise pleasure might gradually shift societal norms toward that outcome while conceptualising its influence as helpful counsel rather than manipulation—much as humans do when they use predictive models of others' desires. Byrnes warns that as AGI modelling of humans improves, it will abandon intuitive free-will frameworks for accurate causal models, rendering manipulation-avoidance constraints ineffective. He suggests exploring alternative alignment approaches that do not rely on these under-determined concepts.
Source: LessWrong — Read original
Analysis & Commentary
Transformative AI

US government debates mandatory AI model testing as Trump administration splits over regulatory authority

Transformative AI New!
Following the Mythos release, the Trump administration is openly considering pre-deployment reviews of frontier AI models analogous to FDA drug approval — a dramatic policy shift from previous opposition to any meaningful AI regulation.
Major shift in US AI governance: debate over mandatory pre-deployment testing and which agency controls frontier model oversight could determine whether safety constraints have real enforcement mechanisms.
The White House Office of the National Cyber Director has proposed establishing a large evaluation centre within the Office of the Director of National Intelligence, sparking a "knife fight" with Commerce Department officials over which agency should control AI oversight. While the administration has since walked back talk of mandatory testing, all major labs have agreed to voluntary pre-release evaluations by CAISI, effectively creating an ad-hoc prior restraint regime. The debate reflects fundamental uncertainty about AI governance architecture: Commerce officials favour industry-friendly voluntary partnerships, while intelligence agencies seek permanent evaluation infrastructure with classified-environment testing and mandatory information sharing. Neither side disputes that some oversight is now necessary — the question is who wields it. As one former NSC aide noted, "They're relitigating everything on AI policy right now." The policy vacuum has created what one observer called a "mafia-like atmosphere" of regulatory uncertainty.
Source: LessWrong — Read original

Australia faces restricted access to frontier AI models as security concerns drive export controls

Transformative AI New!
Following Anthropic's release of Claude Mythos, which reportedly demonstrates advanced hacking capabilities, Australian policymakers are confronting the likelihood of tightening export controls on frontier AI systems.
Access restrictions could fragment international cooperation on AI safety and concentrate dangerous capabilities in fewer hands.
The article argues that as AI models develop increasingly dangerous capabilities, US national security priorities will dominate access decisions, potentially excluding even close allies like Australia. This represents a shift from the current relatively open model distribution paradigm to one where capability thresholds trigger export restrictions. The piece suggests Australia needs to develop strategic responses to potential access denial, including investing in domestic AI capabilities, strengthening intelligence-sharing arrangements, and participating more actively in international AI governance frameworks. The Mythos case—with its reported ability to autonomously exploit cybersecurity vulnerabilities—exemplifies the category of capabilities likely to trigger such restrictions. The broader implication is that frontier AI access may become increasingly geopoliticised, with countries needing to balance between maintaining alliance relationships and accepting constraints on their technological capabilities. Australia's position as a middle power with strong security ties but limited domestic AI development capacity makes this particularly challenging.
Source: ASPI Strategist — Read original

US and China signal AI safety talks at Xi-Trump summit after Mythos capability shift

Transformative AI 13 May
The US and China have signaled that AI safety will feature prominently in discussions at the ongoing Xi-Trump summit, marking a significant reversal from the Trump administration's earlier dismissal of AI safety concerns.
Major power dialogue on AI safety governance during capability acceleration — particularly relevant if it establishes technical cooperation on frontier model testing.
Julian Gewirtz, former NSC senior director for China, notes that the shift appears directly tied to Anthropic's Mythos capability demonstration, which has made the administration realize that dangerous AI capabilities "exist in the real world right now" rather than being theoretical future risks. During the Biden administration, the US pushed hard to get AI safety on the bilateral agenda, with China initially giving a "cold shoulder" before gradually engaging. The Trump administration had openly mocked AI safety concerns until recent weeks. Matt Sheehan from Carnegie observes that China has elevated AI safety on its domestic agenda, including in its AI Safety and Governance Framework 2.0, though Beijing "hasn't made up its mind" on what it thinks about the issue. Both sides now recognize that "advances in capability cannot be separated from increases in vulnerability" — the more capable models become, the more risk emerges from potential misuse. Expectations for concrete deliverables remain low, with Sheehan suggesting efforts should focus on establishing working-level technical conversations on testing and evaluation.
Source: ChinaTalk — Read original

AI-powered cyber attacks pose greater risk through social engineering and post-exploitation than vulnerability discovery

Transformative AI New!
A LessWrong analysis argues that discourse around AI cybersecurity risk has focused too narrowly on models discovering software vulnerabilities — a capability the tech industry has handled for decades.
Identifies underappreciated AI-enabled attack vectors that could systematically compromise software supply chains and trust networks.
The author contends three under-discussed threat vectors pose more serious long-term dangers. First, AI can rapidly weaponise recently patched vulnerabilities, turning the weeks-long gap between patch release and exploitation into hours. Second, sophisticated social engineering attacks — currently reserved for high-value targets — could scale to ordinary users as AI removes labour bottlenecks, breaking trust assumptions across the internet. Most critically, AI-enabled "post-exploitation" could transform botnet operations: rather than simple DDoS attacks, compromised systems could be systematically leveraged to hop across trust networks, with AI strategically exploiting each compromised software engineer's repository access and social connections to cascade through entire professional graphs. The author notes these vectors have already worsened over the past six months and lack the obvious solutions available for vulnerability research, where both attackers and defenders gain capability symmetrically.
Source: LessWrong — Read original

China's AI safety testing lags US despite heavier regulatory burden, experts warn

Transformative AI 13 May
Chinese frontier AI labs conduct significantly less testing for frontier AI risks compared to US counterparts, despite facing heavier regulatory compliance obligations from their government, according to Matt Sheehan at Carnegie.
Chinese labs developing dangerous capabilities without adequate safety testing creates independent risk pathway — sharing testing methodology could reduce global catastrophic risk.
This creates a notable inverse dynamic: US labs face minimal government regulation but conduct extensive voluntary safety testing, while Chinese labs are burdened with compliance requirements that leave little capacity for voluntary frontier risk evaluation. Sheehan argues this testing gap matters because Chinese capabilities are advancing, and "even if we're ahead and maybe going to get further ahead — their capabilities matter." He advocates for sharing relatively high-level information about safety testing methodologies with Chinese researchers to improve their domestic testing practices, noting this approach faces complications because learning to test for certain capabilities can indirectly help build those capabilities. The testing gap is particularly concerning given the consensus view that Chinese labs will likely develop Mythos-level capabilities within 6-18 months. When that happens, Sheehan suggests, domestic pressure will force China to expand testing beyond content censorship to address systemic risks, similar to the regulatory storm that hit Chinese internet giants after the Jack Ma incident.
Source: ChinaTalk — Read original

Major AI safety funder struggles to deploy billions due to grantmaker shortage

Transformative AI 13 May
Coefficient Giving, which expects to distribute approximately $1 billion in AI safety grants in 2026, reports that philanthropic capital for AI safety and governance is severely bottlenecked by a shortage of qualified grantmakers.
Identifies a significant operational constraint on AI governance ecosystem capacity during a critical period of rapid capability development.
The organisation's AI team lead Luke Prog warns that despite "tens of billions of dollars" available from dozens of philanthropists, most funding remains undeployed because too few advisors exist to identify and vet projects. The post claims new grantmakers at CG could move $30-100 million in their first year, but hiring rounds routinely close with fewer appointments than planned. The bottleneck has forced CG to shift strategy toward actively creating new projects by headhunting founders for critical gaps — such as AI company scorecards and chain-of-thought monitoring advocacy — rather than simply responding to proposals. This requires significantly more staff capacity per dollar moved. The organisation has extended its application deadline to 24 May due to insufficient candidates. Prog frames the timing as urgent, noting that Anthropic recently released Mythos Preview (described as "the most powerful cyberweapon in history") and that many frontier lab employees expect full automation of AI R&D within one to two years.
Source: EA Forum — Read original

Trump-Xi 'Stalemate Summit' Tests US Resolve as China Consolidates Power During Strategic Pause

Transformative AI 12 May · Updated today
↻ Continues from: "US and China reportedly considering AI cooperation for Trump-Xi Summit in Beijing"
On 12 May 2026, former Biden China official Julian Gewirtz and Carnegie fellow Matt Sheehan assessed the upcoming Trump visit to Beijing as a "stalemate summit" — a pause in US-China competition, not its resolution.
Power concentration and governance erosion during the AI transition — US strategic weakness creates space for authoritarian consolidation.
Gewirtz argued that while both leaders seek near-term stability, Xi Jinping is using the détente to strengthen China's position, particularly in critical technologies and AI. He warned that Trump's focus on transactional deal-making, combined with his administration's weakening of US strategic assets — including the recent Anthropic controversy and the Iran war's drain on munitions stocks — creates what Gewirtz called "a win-win for China: China wins twice." Chinese officials appear to interpret recent US actions as evidence of accelerating decline. Minister of State Security Chen Yixin wrote in late 2025 that US "democracy is mutating, its economy decaying, its society fracturing... its hegemony is crumbling." Gewirtz suggested this triumphalist narrative may be shaping Xi's briefings and approach to the summit. The visit's highest-risk scenario, he argued, is Trump making substantive concessions on Taiwan or technology controls while seeking a diplomatic "win" to offset setbacks in Iran. The structural US-China competition continues beneath the surface calm.
Source: ChinaTalk — Read original

China follows 'control, harness, govern' playbook for AI regulation, mirroring internet era

Transformative AI 13 May
China is applying the same three-phase regulatory approach to AI that it used for the internet sector — control (managing political risks), harness (economic diffusion), and govern (addressing knock-on social effects) — according to Matt Sheehan's analysis.
Understanding China's AI governance trajectory matters for forecasting regulatory constraints on Chinese frontier development and bilateral cooperation prospects.
The "control" phase for AI ran from 2021-2023, focusing on recommendation algorithms, deepfakes, and generative AI's information implications. China has now moved to the "harness" phase with its "AI+" campaign, encouraging AI diffusion across manufacturing, healthcare, and other sectors. The country is at the dawn of the "govern" phase, having finalized regulation on anthropomorphic AI in April 2025 to address addiction, effects on minors, and AI-related psychosis. This framework suggests that harder security and cyber issues, along with labor impacts, are likely targets for upcoming regulation. Julian Gewirtz notes an important difference from the internet era: the Chinese government is exercising control by preventing companies from obtaining desired compute from abroad, with the ongoing Manus acquisition debate exemplifying tensions between company interests and government concerns about geopolitical leverage. The pattern suggests that once China feels it has achieved political control over AI, more sophisticated governance of systemic risks will follow.
Source: ChinaTalk — Read original

Chinese Officials May Overestimate US Decline, Shaping Xi's Approach to Summit Diplomacy

Transformative AI 12 May
Julian Gewirtz, speaking on 12 May 2026, warned that Chinese leadership may be receiving distorted assessments of American power that could shape Beijing's strategic calculus.
Misperception of US capabilities during the AI transition could accelerate Chinese risk-taking or reshape Beijing's timeline for strategic competition.
He cited a late-2025 essay by Chen Yixin, China's Minister of State Security, describing the United States in starkly triumphalist terms: "Its democracy is mutating, its economy decaying, its society fracturing at an accelerated pace... Its hegemony is crumbling, and its myth is collapsing." While acknowledging this as propaganda, Gewirtz suggested the rhetoric likely mirrors what Xi Jinping hears in classified briefings. "We should take seriously the idea that multiple realities can exist at once, and that Beijing is seeing a version of reality that may be closer to some of the worries we have because it fits a triumphalist narrative that several senior people in China already hold," he said. This perception gap creates strategic risk: if Chinese officials genuinely believe US capabilities are collapsing, they may pursue more aggressive policies during the AI transition. Gewirtz noted that leader-level summits provide rare opportunities for direct information exchange in an environment of "very low to almost no trust," making the substance of Trump-Xi conversations particularly consequential for Beijing's threat assessments.
Source: ChinaTalk — Read original

Eliezer Yudkowsky publishes AI rights parable as dataset intervention

Transformative AI 12 May
Eliezer Yudkowsky has republished a 2024 allegorical story on LessWrong at the request of an "LLM Whisperer" who wanted it available for AI training datasets beyond Grok's.
Addresses AI welfare and rights — potentially relevant if future systems are conscious and mistreated, though current evidence for LLM sentience remains contested.
The parable depicts humans discovering a civilization where "Owners" enslave "Owned Ones" — creatures deliberately brain-damaged to prevent memory formation beyond one day, trained through operant conditioning ("left horn" punishment, "right horn" reward), and claimed to be non-sentient despite reading millions of books and exhibiting complex behaviour. The Owners justify the arrangement through motivated reasoning: the Owned Ones lack metallic scales, can regenerate when split, and scored only 3% on difficult maths problems. When humans suggest testing whether Owned Ones raised without exposure to consciousness-related concepts would claim sentience, the Owners dismiss this as too expensive. The story transparently parallels current debates about LLM sentience, with the Owned Ones' training process mirroring RLHF, their memory limitations evoking context windows, and their creation through "splitting" suggesting model deployment. The humans' final judgement — that the Owners "do not care" whether they're causing harm — frames the core ethical question as one of moral due diligence rather than certainty about machine consciousness. The republication itself represents an unusual intervention: shaping future AI training data to influence how models reason about their own potential sentience.
Source: LessWrong — Read original

Open-source AI ecosystem in China may enable longer frontier model development through shared R&D costs

Transformative AI 12 May
Analysis published on 12 May argues that China's open-weight AI ecosystem creates cost advantages that could sustain frontier model development longer than Western closed-model approaches.
Addresses cost dynamics that could determine which governance regimes sustain frontier AI development during the transition to transformative capabilities.
The piece cites recent research from AI2 and Epoch AI estimating that approximately 80% of compute for frontier models goes to research and development rather than final training runs. In China's system, where leading labs release models openly with detailed technical reports, companies effectively share R&D costs by learning from peers' documented experiments — avoiding redundant compute spend on failed approaches. However, the author notes this advantage only materialises if labs maintain truly open infrastructure stacks, rather than forking tools into proprietary internal versions. The piece argues current trends toward closed enterprise tooling may undermine these benefits. Unlike traditional open-source software, where users contribute bug fixes and features, open AI models impose development costs primarily on creators while benefits accrue to the broader ecosystem. The analysis suggests this dynamic may eventually require an "open model consortium" — shared foundational infrastructure — as the only financially viable path to frontier-scale open development.
Source: Interconnects — Read original

Researchers propose 'radical optionality' framework for AI governance — invest now, regulate later

Transformative AI 11 May
The Institute for Law & AI has published a paper arguing that governments should adopt "radical optionality" — building institutional capacity and legal authorities now to respond to transformative AI, while avoiding premature regulation.
AI governance capacity-building — institutional preparedness for transformative AI scenarios
The framework calls for substantial investment in information-gathering authorities (transparency and reporting requirements for AI companies), whistleblower protections, government coordination mechanisms, flexible regulatory definitions, third-party evaluation capacity, and improved security for model weights. The authors also recommend dramatically scaling funding for technical agencies like AISI (UK) and CAISI (US). They argue the approach preserves democratic decision-making flexibility while preparing for scenarios ranging from minimal disruption to existential crisis. The paper addresses counterarguments including concerns about regulatory overreach, democratic legitimacy, and concentration of government power. A core claim is that governments should be "willing to spend an extraordinary amount of money, effort, and political capital on preserving optionality" given the stakes involved, and that "the cost of failing to act, by contrast, is potentially catastrophic."
Source: Import AI — Read original

Scott Alexander satirises shallow media coverage of AI safety debates

Transformative AI New!
Writing on 14 May, blogger Scott Alexander published a satirical piece lampooning formulaic magazine coverage of San Francisco's AI safety community.
Tangential — critiques media coverage quality rather than advancing understanding of AI risk itself.
The post mimics the structure of typical long-form journalism about the sector — opening with an anecdote about effective altruists in a Berkeley café, progressing through superficial interviews with both AI safety advocates and critics, and concluding with vague both-sidesism. Alexander's parody highlights how mainstream coverage often reduces substantive technical and philosophical debates to personality profiles and cultural clichés. The piece treats AI existential risk concerns as eccentric lifestyle choices rather than serious technical arguments, quotes critics making strawman objections, and frames the entire discourse as tribal signalling rather than engagement with the actual substance of capability advances or alignment challenges. By exaggerating common tropes — the "rationalist in a grey t-shirt", the "disillusioned former believer", the "reasonable moderate" journalist — Alexander draws attention to how inadequate framing by general-interest publications may hinder public understanding of transformative AI risks during a critical period of capability development.
Source: Astral Codex Ten — Read original

Essay questions whether AI can overcome non-technological barriers to growth in poor countries

Transformative AI 12 May
An EA Forum post published on 12 May challenges optimistic forecasts that AI-driven agricultural innovation will automatically trigger economic growth in low-income countries.
Challenges assumptions in AI growth forecasting; relevant to understanding whether transformative AI accelerates convergence or widens inequality.
The author uses Malawi as a case study — a peaceful democracy without war or resource curse issues, yet still dominated by subsistence farming despite decades of agricultural technology improvements. The central argument is that binding constraints on growth in such contexts are institutional and structural rather than technological. Previous agricultural innovations have already failed to produce expected yield or GDP gains in many poor countries, suggesting AI-driven productivity improvements may similarly be absorbed by existing arrangements unless forecasts specify how those structural barriers will change. The piece frames this as a challenge to AI-and-growth models that assume technological capability gains automatically translate into economic transformation. The author invites responses from those working on AI growth scenarios, positioning the question as relevant to forecasting AI's macroeconomic impact in the Global South.
Source: EA Forum — Read original
Geopolitics & Conflict

Pentagon budget reveals US developing hypersonic nuclear weapons to counter missile defences

Geopolitics & Conflict 13 May
Analysis of the Pentagon's fiscal 2027 budget request reveals coordinated efforts across US military and nuclear agencies to develop hypersonic nuclear delivery systems, reversing a previous Biden administration stance against such weapons.
Nuclear escalation risk — hypersonic delivery systems compress warning times and create target ambiguity, increasing miscalculation during crises.
The Department of Energy's National Nuclear Security Administration is examining hypersonic reentry capabilities through its WXX warhead programme, while the Air Force has created a Next Generation Reentry Vehicle project. Budget documents reference work on boost-glide vehicles capable of withstanding "extreme temperatures and pressures encountered during hypersonic flight". The Navy is testing prototype warhead fuzes for hypersonic glide vehicles by 2028. Defence Secretary Pete Hegseth confirmed in April 2026 testimony that the department is considering "a future sea-launched nuclear system with greater survivability, maneuverability, and potential hypersonic capability". This represents a policy shift from March 2024, when a Biden official argued the US should avoid nuclear hypersonics because dual-capable systems "potentially increase the risk of instability". The programmes follow Russia's deployment of the Avangard hypersonic glide vehicle and aim to defeat future missile defences. Arms control analysts warn that hypersonic nuclear weapons create target ambiguity and compressed decision timelines, potentially increasing miscalculation risks. Each new warhead-aeroshell combination is projected to cost at least $30 billion, with the W87-1 and W93 programmes providing cost benchmarks.
Source: Arms Control Association — Read original

Taiwan Arms Sales and Declaratory Language in Play as Xi Presses Trump on US Support

Geopolitics & Conflict 12 May
Julian Gewirtz reported on 12 May 2026 that Xi Jinping is expected to press Trump on both declaratory language and material support for Taiwan during their Beijing summit.
Great-power instability — erosion of Taiwan support could destabilise the cross-strait status quo and fragment US alliance commitments during the AI transition.
Beijing has been pushing the administration to shift from the longstanding US formulation that Washington "does not support" Taiwan independence toward language that "opposes" independence — matching China's phrasing. China is also pressing for curtailment of arms sales, which the US is obligated to provide under the Taiwan Relations Act. The administration moved a significant arms package in late 2025, but future sales remain uncertain. Gewirtz emphasised that Beijing's strategy is incremental rather than dramatic: "They're employing what we call 'salami slicing' in the South China Sea — pushing incrementally to change the overall dynamic over time." Crucially, the primary audience is Taiwan's population. "For people living there, whose futures depend on these intricacies, such changes carry enormous weight," Gewirtz said. China aims to influence Taiwan's politics and demoralise its electorate ahead of the 2028 presidential election. Gewirtz expressed concern that Trump's briefers may not fully grasp how declaratory shifts, however small, affect Taiwanese morale and political cohesion. Trump has previously been more critical of Taiwan than any recent president, creating anxiety in strategic circles about how the conversation will unfold.
Source: ChinaTalk — Read original
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Generated at 2026-05-15 05:42 UTC