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The biggest public backer of World Liberty Financial, the crypto venture co‑founded by the Trump family, has publicly accused the firm of embedding a covert "backdoor blacklisting" feature that allows it to freeze token holdings at will. On Sunday, blockchain entrepreneur Justin Sun posted on X, alleging that World Liberty’s smart contracts for the WLFI token contain a tool that can unilaterally freeze, restrict, or confiscate any user’s assets without cause or recourse. Sun did not provide evidence, but said his own wallet was locked in September, making him the "first and single largest victim" of the alleged mechanism. World Liberty responded on X, stating, "We have the contracts. We have the evidence. We have the truth. See you in court, pal," and directed observers to its own posts for clarification. The company’s official risk disclosures do note that it may block or freeze addresses deemed linked to illegal activity or terms violations – a practice also employed by other crypto issuers such as Tether. Sun, who invested tens of millions of dollars in WLFI and later increased his stake to at least $75 million according to his 2025 posts, has not shared the purported blockchain records that supposedly show his wallet being blacklisted by a single administrative account. World Liberty, launched in 2024, claimed it would empower small investors through a decentralized‑finance app that has yet to launch. Reuters analysis indicated the venture generated **more than $460 million** for the Trump family in the first half of 2025. In March, the U.S. Securities and Exchange Commission settled a 2023 lawsuit against Sun for $10 million, alleging fraud and the sale of unregistered crypto securities. Sun made no admission of wrongdoing. The dispute highlights the murky regulatory environment for crypto in the United States, where the SEC has limited jurisdiction and has declined to comment on the legality of token‑freezing practices.

A recent set of studies has brought to light a concerning issue in social science research: up to half of all results published in reputable journals cannot be replicated by independent analysis. This problem is part of a broader challenge affecting various research fields, most notably social sciences and psychology, though concerns have also been raised in areas of biomedical research. The latest work, part of a seven-year project called Systematizing Confidence in Open Research and Evidence (Score), analyzed 3,900 social science papers. It found that newer papers and those published in journals requiring extensive sharing of underlying data were more likely to be reproduced. Additionally, medical research faces its own set of constraints, such as differing patient caseloads and limited sample sizes, which can make it resemble social sciences more than laboratory physics. Policymakers should be cautious of claims that don’t have a wide and robust base of evidence. The issue of reproducibility is crucial, as it looks at whether results can be recreated from the same data and methods, while replication tests whether the finding holds for new data in different contexts. However, politicians have increasingly looked to turn uncertainty into denial and recast normal scientific uncertainty as evidence of failure. Large-scale verification projects, like those undertaken by Score, are few and far between. Most academic researchers prioritize work that is more likely to enhance their careers. AI may help in deciding what to test, but it can’t reduce the costs and time involved in duplicating a piece of research. Not every failed replication signals a crisis; some findings don’t matter much, and replication studies can themselves be flawed. Greater transparency makes outright fraud more difficult and allows errors to be identified. Some argue that research “ultimately autocorrects,” but the long-term solution — shifting incentives so existing results are tested — would increase confidence. This requires restructuring of research culture and funding. For now, it remains largely notional. These studies should strengthen the case for change and serve as a warning. Social science is a powerful tool for understanding the world – and that trust will be built by acknowledging uncertainty, not repudiating it.

Sperm whales produce a series of rapid clicks, known as codas, that researchers have now shown contain vowel‑like elements and phonetic rules akin to those of human speech.Using advanced acoustic analysis and artificial‑intelligence tools, a team led by linguist Gašper Beguš at UC Berkeley found that variations in click length, pitch rise, and fall encode distinct “vowel” sounds, creating patterns comparable to languages such as Mandarin, Latin and Slovenian.The findings, published in the Proceedings B journal, describe the whale communication system as “highly complex” and one of the closest animal parallels to human phonology, indicating a case of independent evolution of language‑like structures.The research was conducted by Project CETI (Cetacean Translation Initiative), which has been recording sperm whales off Dominica. The project recently released video of a collaborative birth, underscoring the species’ rich social lives.According to Project CETI founder David Gruber, the whales’ “chit‑chat” occurs when individuals press their heads together near the surface, a behavior he likens to intimate, face‑to‑face conversation rather than distant shouting.By removing silent gaps between clicks, the team uncovered rhythmic patterns that function like human vowel modulation—altering vocal fold tension to shift an “A” into an “E.” This level of linguistic sophistication surpasses that observed in other vocal animals such as parrots and elephants.Behavioral ecologist Mauricio Cantor (not involved in the study) noted that the discovery reveals multiple interacting layers of structure in whale signals, a complexity previously unappreciated.Project CETI aims to identify at least 20 distinct vocal expressions—covering actions like diving, sleeping, and social bonding—within the next five years, moving toward a functional understanding of cetacean communication.Gruber remains optimistic, comparing current progress to a two‑year‑old child speaking a few words, and hopes that future research will bring the field to a five‑year‑old level of linguistic capability.

The App Store Removal Apple is taking a tough stance on vibe-coding apps, blocking updates or removing those apps from the App Store. Affected apps include Replit, Vibecode, and Anything. While Replit and Vibecode's updates were paused, Anything's app was removed twice. Anything's Struggle with Apple Anything's co-founder, Dhruv Amin, said in a conversation with TechCrunch that Apple removed its app on March 26. Since then, the company has been unable to get its app approved, despite a period where there was a brief reinstatement. Apple cited developer agreement clause 2.5.2, which prevents apps from downloading, installing, or executing code. The app markets itself as a mobile app builder for iPhone and advertises making native iOS apps with features like 1-tap App Store submissions, code export, and full source code editing. The Impact on Anything Amin noted that when the company managed to get on a call with Apple, the iPhone maker told them that the vibe-coding app was removed because of the potential it could be used to download malicious code. The Future of Anything Following the battle with Apple, Anything's maker is looking for other ways to allow people to build mobile apps. Earlier this month, the company launched a feature that let users build apps using the iMessage platform. The company said it will also build a desktop companion app that lets users vibe code mobile apps on their computer. The company may instead look at Google's Android operating system for building its apps, as the platform is more open than iOS. Epic Games CEO Tim Sweeney has been vocal about Apple's tactics, saying that Apple needs to "stop blocking development tools apps ASAP." The Broader Implications Earlier this month, The Information reported that thanks to AI-powered coding tools, Apple saw an 84% jump in app submissions in a single quarter. This could force Apple to change its human-led review processes. As AI-powered coding takes off, consumers might demand that platforms like Apple allow them to create apps for themselves.

The way large language models are trained could have a profound impact on human communication. These models are primarily trained on written text, such as textbooks and social media posts, and our speech as captured in movies and television shows. However, this limited scope excludes the vast majority of human speech, which occurs through face-to-face conversations and voice interactions.As a result, the increased use of AI-generated text could lead to a homogenization of language, with humans adopting the linguistic patterns and behaviors of these models. This could affect not only how we communicate with one another but also how we think about ourselves and the world around us. Our perception of reality may become distorted in ways we have yet to fully comprehend.One potential consequence is that our language may become more concise and formulaic, similar to the effects of texting and social media. However, the impact of AI-generated language could be more profound, potentially eroding courteousness and encouraging a more commanding tone in our interactions. A 2022 study found that children who used voice commands with tools like Siri and Alexa became curt when speaking with humans, often using imperative language and expecting obedience.Moreover, the influence of AI-generated text could lead to a narrowing of vocabulary and sentence structure, as machines tend to produce smooth and polished but emotionless language. This could have significant implications for how we express ourselves and connect with others. Additionally, the reinforcement of confirmation bias through AI-generated text could make us more entrenched in our views and less open to opposing ideas.It is essential to consider the potential consequences of relying on AI-generated language and to explore ways to develop more nuanced and human-like language models. By excluding the majority of human language production – informal conversations and natural speech – these models may be mirroring a distorted version of human communication. This could have far-reaching implications for our relationships, our culture, and our understanding of ourselves.

The United States, led by President Donald Trump, has announced its intention to blockade the Strait of Hormuz, a vital chokepoint for global energy supplies, in a significant escalation of tensions with Iran. This move comes after talks between Washington and Tehran in Islamabad failed to yield an agreement.In a social media post, Trump stated that the US Navy would begin the process of blockading any and all ships attempting to enter or leave the Strait of Hormuz. The blockade, which commenced at 10am Washington, DC, time (14:00 GMT) on Monday, has sparked concerns about the status of the two-week ceasefire between the US and Iran announced last week.Analysts view Trump’s threat as a substantial escalation in the war on Iran. Chris Featherstone, a political scientist at the University of York, noted that Trump is using the blockade as a tool in negotiations with Iran, aiming to pressure the country to comply with US goals.The blockade could have far-reaching implications for global energy markets, as the Strait of Hormuz is a critical passage for 20 percent of the world’s oil and liquefied natural gas (LNG) supplies. Iran has allowed ships from certain countries to pass through the strait during the conflict, but a blockade could disrupt these supplies.Jason Chuah, professor of maritime law at City St George’s, University of London, described the US actions as “sanctions with warships doing the bidding of President Trump,” rather than a classic blockade. He raised concerns about the legality of such actions under international maritime law, noting that the US is not a party to the United Nations Convention on the Law of the Sea.The international community remains divided on the issue, with the United Kingdom stating it will not support the blockade and China urging calm. The blockade’s impact on Iranian mines in the strait and shipping operations remains uncertain, with potential consequences for global energy security and the economy.

The Evolution of Enterprise AutonomyMicrosoft is quietly pivoting from reactive AI assistants to proactive, autonomous agents within its ecosystem. The tech giant is currently testing a new feature set for Microsoft 365 Copilot that mimics the capabilities of the open-source OpenClaw agent. This move signals a strategic shift toward "always-on" intelligence that can execute multistep tasks autonomously, rather than merely responding to user prompts. Microsoft's "Always-On" Copilot StrategyThe core innovation of this potential new agent is its ability to function continuously. Unlike previous iterations that required active user engagement, this tool would be designed to take actions at any time, effectively acting as a persistent digital assistant. Microsoft has confirmed to The Information that the focus is on enterprise customers, specifically addressing the security concerns that have historically plagued open-source alternatives. Autonomous Execution: Capable of handling multistep workflows without constant supervision. Enterprise Focus: Prioritizing security controls over the flexibility of open-source tools. Integration: Built directly into the existing Microsoft 365 ecosystem. Cloud vs. Local: The Hardware ImplicationWhile the source material suggests a comparison with OpenClaw—which runs locally on hardware like the Mac Mini—Microsoft has not confirmed if this new agent will be local or cloud-based. However, the trend is clear. The company previously launched Copilot Cowork (powered by Anthropic's Claude) and Copilot Tasks, both of which operate in the cloud. The potential shift to a local execution model would explain the recent surge in Mac Mini sales, as users seek hardware capable of running these resource-intensive, privacy-focused agents. Why This Matters for Enterprise SecurityThe primary driver for this development is the "trust gap" in enterprise AI. Open-source agents like OpenClaw offer powerful automation but carry significant security risks. By creating a proprietary version, Microsoft aims to offer the autonomy of open-source tools with the governance of a major corporation. This aligns with Microsoft's broader strategy of anchoring AI experiences in security, governance, and trust, reducing the friction of daily operations for enterprise workers. Expectations for Microsoft Build 2026Industry analysts predict that this new agent—or an upgraded version of existing tools—will be a centerpiece of the upcoming Microsoft Build conference in June. While the company remains tight-lipped about the specifics, the spokesperson's confirmation that they are "experimenting" with broader orchestration and autonomy suggests a major reveal is imminent. This development could redefine how businesses interact with their software stack, moving from a tool-based model to an agent-based model.

Australia announced that Lieutenant General Susan Coyle will assume the role of chief of the Australian Army in July, marking the first time a woman has held the post in the service’s 125‑year history.Coyle, currently chief of joint capabilities, brings nearly four decades of experience, including senior command roles in Afghanistan and the Middle East, and expertise in cyber‑warfare. She will succeed Lieutenant General Simon Stuart, who took the position in July 2022.Prime Minister Anthony Albanese hailed the appointment as a historic breakthrough, stating, "From July, we will have the first ever female chief of army in the Australian Army’s 125‑year history." Defence Minister Richard Marles called the move a "deeply historic moment" and emphasized its symbolic power: "You cannot be what you cannot see."The appointment arrives as the Australian Defence Force (ADF) intensifies efforts to raise female participation. Women currently constitute about 21 % of the ADF and 18.5 % of senior leadership roles, with a target of 25 % overall participation by 2030.In October, a class‑action lawsuit alleged that the ADF failed to protect thousands of women officers from systematic sexual assault, harassment, and discrimination, underscoring the urgency of cultural reform alongside the leadership change.Alongside Coyle’s promotion, Vice Admiral Mark Hammond, the incumbent chief of the navy, will become the head of the ADF, succeeding Admiral David Johnston. Rear Admiral Matthew Buckley is set to replace Hammond as navy chief.The army is also undergoing a major transformation, investing in long‑range firepower, drones, and other modern combat tools. Coyle’s background in cyber‑warfare is expected to bolster the force’s capability to operate in increasingly digitised battlefields.

Goldman Sachs's chief executive, David Solomon, has expressed heightened awareness of the capabilities of Anthropic's Mythos AI model and is collaborating closely with the tech firm following warnings about the cybersecurity risk it poses.The US bank has been closely monitoring the rapid advancements in artificial intelligence, including large language models (LLMs), as part of broader efforts to protect itself from hackers.“Obviously the LLMs are making rapid progress and we’re hyper-aware of the enhanced capabilities of these new models with the help of the US government and the model publishers,” Solomon told analysts on an earnings call on Monday.Anthropic, the company behind the Claude family of AI tools, claimed last week that its latest model, Mythos, posed an unprecedented risk due to its ability to expose flaws in IT systems. The company warned that AI models have reached a level of coding capability where they can surpass all but the most skilled humans at finding and exploiting software vulnerabilities.Solomon emphasized that Goldman Sachs is working closely with Anthropic and all of its security vendors to harness frontier capabilities. “We are very focused on supplementing our cyber and infrastructure resilience. And this is part of our ongoing capabilities that we have been investing in, and are accelerating our investment in.”The news comes after the US Treasury secretary, Scott Bessent, summoned Solomon and other big American bankers to Washington to discuss the Mythos model last week. The meeting focused on heads of so-called systemically important banks, where regulators believe that a major disruption to their operations, or their potential collapse, would put financial stability at risk.On Monday, the UK government’s AI Security Institute (AISI) warned that Mythos was a “step up” over previous models in terms of the cyber threat it posed. AISI said Mythos could carry out attacks that required multiple actions and discover weaknesses in IT systems without human intervention.