News & Updates
The latest news and updates from companies in the WLTH portfolio.
Workday CTO Exit to Anthropic Signals 3 Big AI Shifts
The workday for enterprise software leadership may be changing faster than the software itself. In a move that says as much about status as strategy, Peter Bailis left Workday after less than a year as chief technology officer and joined Anthropic as a member of technical staff. The shift may look like a step down on paper, but in the AI era it points to a different kind of ascent: closer access to model training, engineering decisions, and the technical center of gravity now pulling talent away from older software hierarchies. Why the Workday move matters now The timing matters because the transition happened while Anthropic continues to expand its enterprise ambitions and while Workday has been pushing to deepen AI across its platform. Gerrit Kazmaier, Workday's president of product and technology, said when Bailis was hired that he would be part of the company's effort to go "all in" on AI. Less than a year later, he is gone, and Workday has elevated Gabe Monroy to CTO. That sequence turns a single personnel change into a signal about where technical gravity is shifting. At the center of that shift is the rising prestige of the "member of technical staff" role. The title is common at frontier labs such as Anthropic and OpenAI, where the structure is flatter and technical contributors can have broad influence without a traditional executive label. That model is becoming attractive to senior engineers and product leaders who want direct involvement in foundational systems rather than oversight from a distance. In that sense, workday is not just a name in this story; it is part of a wider reordering of how tech careers are valued. What lies beneath the title change Bailis's move is notable because it reverses the usual status logic of enterprise technology. A CTO role at a company like Workday carries institutional authority, but the Anthropic position offers proximity to the work itself. The Anthropic spokesperson said Bailis will focus on reinforcement learning engineering, a field tied to model performance, reliability, alignment, and tool use. That suggests the draw is not title inflation but technical access. This is where workday becomes more than a company name in the headline. It stands in for a category of software firms now facing pressure from AI-native competitors that can recruit senior talent directly into core model work. In February, Anthropic's rollout of Claude Cowork and industry-specific plugin tools triggered a stock sell-off in the software sector, a reaction described as the SaaSpocalypse. The market response reflected a real fear: that AI labs may increasingly offer tools advanced enough to erode the value of dedicated software applications. Anthropic's interest in enterprise workflows also sharpens the implication. The company has shown interest in HR-related use cases, including "people products" centered on hiring, training, and employee management. That places it closer to the territory traditionally served by Workday and other human capital management platforms. The competition is no longer only about products. It is about who gets to shape the workflows underneath them. Expert perspectives on the AI-era talent shift Workday's leadership framed the hire as part of its own AI push. Gerrit Kazmaier, Workday's president of product and technology, said Bailis would help the company go "all in" on AI. That makes his exit especially revealing: even when enterprise software firms commit to AI, the most ambitious technical people may still see frontier labs as the more direct route to impact. Anthropic has also described its structure in terms that explain the appeal. Its careers page says engineers do lots of research and researchers do lots of engineering, adding that engineers have as much input into its direction as anyone else. OpenAI president Greg Brockman similarly said in 2023 that the company did not want to "bucket people into researchers and engineers. " Those statements point to a deliberate rejection of rigid hierarchy. Mike Krieger, the cofounder and CTO of Instagram, later became chief product officer at Anthropic and then shifted to a technical staff role on Anthropic's Labs team, which works on Claude Code. That move adds another data point to the same pattern: in the AI race, prestige is increasingly attached to direct building rather than formal rank. In the language of the industry, workday is becoming part of a larger narrative about where elite technical labor wants to live. Global implications for software and AI competition The broader effect extends beyond one executive. Frontier AI labs are now competing not only for model researchers but for technical leaders with deep enterprise experience. Anthropic's reported compensation ranges for members of technical staff, plus the potential for equity gains tied to a valuation that could reach $380 billion post-money, show why the role can be financially as well as intellectually attractive. The title may sound modest, but the economics behind it are anything but. For software firms, this means the battle is increasingly about retention as much as innovation. If AI-native companies can attract leaders who know how enterprise systems work from the inside, they may accelerate their move from tooling into execution layers embedded in business workflows. For Workday and peers, that creates a harder problem than product competition alone. It asks whether traditional enterprise platforms can keep pace when the most ambitious technical talent sees the frontier as the better workday. With AI-native companies flattening hierarchy and pulling senior expertise into reinforcement learning and model optimization, the real question is no longer whether enterprise software will adapt, but whether it can do so fast enough to keep the people who know how to build its future.
SpaceX's Bitcoin Bet Signals a New Era of Corporate Crypto Adoption - TokenPost
Anthony Scaramucci, founder of SkyBridge Capital, is doubling down on his conviction that Bitcoin will soon become a standard fixture on corporate balance sheets worldwide. His latest prediction comes on the heels of newly surfaced financial data revealing that SpaceX has quietly held onto 8,285 BTC -- worth over $600 million -- despite absorbing a staggering $5 billion in losses, largely attributed to Elon Musk's AI venture, xAI. The aerospace giant's refusal to liquidate its Bitcoin reserves, even under significant financial pressure, is what Scaramucci calls the ultimate proof of concept for treating the cryptocurrency as a legitimate long-term treasury asset. "Everyone will soon have Bitcoin on their corporate balance sheet," he stated, framing SpaceX's steadfast position as a blueprint other companies will inevitably follow. What makes SpaceX's commitment even more striking is its longevity. The company's Bitcoin holdings have remained completely untouched since mid-2024, and on-chain data suggests SpaceX was actually accumulating the digital asset before Tesla -- another Musk-led company -- made its own widely publicized Bitcoin purchase. SpaceX's initial acquisition dates back to December 31, with Musk publicly confirming the holdings in 2021, the same time he disclosed his personal stakes in Bitcoin, Ethereum, and Dogecoin. SpaceX's revenue reached $18.5 billion in 2025, reflecting strong business fundamentals. However, its upcoming IPO is drawing particular attention from the crypto community. Once public, SpaceX will be required to disclose its Bitcoin position in official regulatory filings at fair market value -- a move that analysts believe will further legitimize Bitcoin as a viable corporate reserve strategy. As more institutional eyes turn toward SpaceX's model, the conversation around Bitcoin treasury adoption is quickly shifting from speculative to inevitable, reinforcing the digital asset's growing role in mainstream corporate finance.
Bank of England and FCA scramble to brief banks on Anthropic cyber risks - Cryptopolitan
Anthropic said its model found thousands of serious software flaws, including some hidden for decades. UK regulators are racing to assess the danger posed by Anthropic's latest AI model, after officials decided its ability to find hidden software flaws could become a direct risk for banks, insurers, exchanges, and the wider financial system. According to the Financial Times, the talks involve the Bank of England, the Financial Conduct Authority, HM Treasury, and the National Cyber Security Centre, which are reviewing vulnerabilities in IT systems across British finance. British banks, insurers, and exchanges will be warned within the next fortnight about risks linked to Claude Mythos Preview, the latest release from Anthropic, which was previously reported by Cryptopolitan. The British response follows a summons from US Treasury Secretary Scott Bessent, who called leaders from major Wall Street banks to discuss the same issue. Last week, when Anthropic released Mythos to select customers, the $380 billion San Francisco start-up said the system had already found "thousands of high-severity vulnerabilities, including some in every major operating system and web browser," including some that had gone unnoticed for decades. Regulators prepare bank warnings as Anthropic's cyber model drags old system flaws into view The issue is set for the next meeting of the Cross Market Operational Resilience Group, or CMORG, where British regulators and finance companies discuss threats to the sector. CMORG is co-chaired by Duncan Mackinnon, the Bank of England's executive director for supervisory risk, and David Postings, head of UK Finance. The group includes senior representatives from eight of the biggest UK banks, four financial infrastructure providers, two insurers, plus the NCSC, the FCA, and HM Treasury. The Telegraph first reported the agenda. The Bank of England declined to comment. Anthropic said, "It would not be long before such capabilities proliferate, potentially beyond actors who are committed to deploying them safely." It also warned that "the fallout for economies, public safety, and national security could be severe." Officials are examining whether tools like this could expose weak spots across payment systems, trading venues, insurance networks, and other core parts of the market. David Raw, managing director for resilience at UK Finance, said, "We are aware of the press reports on the Anthropic AI development and the risks highlighted." He added, "UK Finance engages with our members and through our public/private partnerships on any significant operational risks that could affect the resilience of the UK financial services sector." The Bank of England can also call the separate Cross Market Business Continuity Group within one to two hours during an urgent threat, but it has not done that here. OpenAI pauses Stargate UK while Britain wrestles with power costs and AI rule uncertainty The wider AI backdrop is rough at the same time. OpenAI, a rival to Anthropic, is pausing its multibillion-pound UK data center project, Stargate UK. The plan included a large site in northeast England and access to powerful chips through partnerships with Nvidia and Nscale. It was part of a wider £31 billion UK tech investment package. On Thursday, an OpenAI spokesperson said the company would move ahead only when the "right conditions" could "enable long-term infrastructure investment." The spokesperson said, "We see huge potential for the UK's AI future. London is home to our largest international research hub, and we support the government's ambition to be an AI leader." They added:- "AI compute is foundational to that goal. We continue to explore Stargate UK and will move forward when the right conditions such as regulation and the cost of energy enable long-term infrastructure investment." When OpenAI announced the project in September, it said it would strengthen the UK's "sovereign compute capabilities" and bolster native AI development. It also said the project would help power the future economy, boost competitiveness, and support the national AI Opportunities Action Plan. But Britain's energy prices were already far above those in the US before the Iran war drove costs higher, and uncertainty remains over whether the law will change to let AI firms train models on copyrighted works through an "opt out" system for creators.
The U.S. military is missing out because of Hegseth's war on Anthropic
Leaving aside the underlying merits of the contractual dispute, it is now abundantly clear that the Trump administration's aggressive actions against Anthropic have been counterproductive. The cutting-edge artificial intelligence business announced last week that its next-generation model, Mythos, has discovered zero-day vulnerabilities -- previously unknown software bugs that can be used by hackers to compromise systems -- in all major internet browsers and operating systems. The implication is stark: software may be more brittle than anyone suspected, and AI can now find and exploit those weaknesses faster than any human team can patch them. Everything that depends on software -- hospitals, banks, power grids, the devices in your pocket -- is potentially exposed. Anthropic's response was to launch Project Glasswing, sharing Mythos with 11 partners so they can harden their systems before attackers catch up. This head start is a good act of corporate citizenship, and the blue-chip companies brought in to help include Apple, Microsoft, Google and Amazon, founded by Post owner Jeff Bezos. Conspicuously absent from Anthropic's list is the War Department, which has been barred from using any Anthropic technology after Defense Secretary Pete Hegseth designated the company a supply-chain risk to national security. That label is normally reserved for foreign adversaries. President Donald Trump then ordered every federal agency to cut ties. Hegseth's dispute with Anthropic is about whether a private firm can dictate how its model is used in war. Anthropic had maintained two red lines in its government work since signing a $200 million contract last year: It couldn't be used for domestic surveillance nor for fully autonomous weapons. In February, Hegseth demanded Anthropic drop those and allow its model to be used "for all lawful purposes." Anthropic sued in both California and D.C. In late March, a San Francisco federal judge issued a sweeping preliminary injunction against the government. But the Pentagon's supply-chain-risk label rests on two separate statutes, and only the D.C. appeals court can review one of them. Earlier this week, that court declined to lift it. As a result, the Pentagon itself and defense contractors more broadly, at least in their work for the government, remain barred from using Anthropic's technology. China was already known to be using AI to break into American systems as early as last year. Anthropic has built the best tool currently available to find the vulnerabilities before Beijing's hackers can. But the U.S. military is systematically removing Anthropic software from its systems, with a six-month transition period. It's one thing to fight with one arm tied behind your back. It's another to have tied it yourself.
Trump officials may be encouraging banks to test Anthropic's Mythos model | TechCrunch
Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell summoned bank executives for a meeting this week where they encouraged the executives to use Anthropic's new Mythos model to detect vulnerabilities, according to Bloomberg. Indeed, while JPMorgan Chase was the only bank listed as one of the initial partner organizations with access to the model, Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley are reportedly testing Mythos as well. Anthropic announced the model this week but said it would be limiting access for now, in part because Mythos -- despite not being trained specifically for cybersecurity -- is too good at finding security vulnerabilities. (Others suggested this was hype or simply a smart enterprise sales strategy.) The report is particularly surprising since Anthropic is currently battling the Trump administration in court over the Department of Defense's designation of Anthropic as a supply-chain risk; that designation came after negotiations fell apart over Anthropic's efforts to limit how its AI models can be used by the government. Meanwhile, the Financial Times reports that U.K. financial regulators are also discussing the risk posed by Mythos.
UK regulators rushing to assess risks of latest Anthropic AI model: report
British financial regulators are holding urgent talks with the government's cyber security agency and major banks to assess risks posed by the latest artificial intelligence model from Anthropic, the Financial Times reported on Sunday. Bank of England, Financial Conduct Authority and Treasury officials are in talks with the National Cyber Security Centre to examine potential vulnerabilities in critical IT systems highlighted by Anthropic's latest AI model, the FT said, citing two people briefed on the talks. Anthropic did not respond to a Reuters' request for comment. The BoE, FCA and NCSC declined to comment. The UK Treasury was not immediately available for comment. Representatives from major British banks, insurers and exchanges are expected to be briefed on the cybersecurity risks posed by the model, Claude Mythos Preview, at a meeting with regulators in the next two weeks, the newspaper said. Reuters could not immediately verify details of the report. Reuters reported on Friday, citing two sources, that US Treasury Secretary Scott Bessent had called a meeting with major Wall Street banks on the model's cyber risk potential. AI startup Anthropic has said the model is being deployed as part of "Project Glasswing," a controlled initiative under which select organizations are permitted to use the unreleased Claude Mythos Preview model for defensive cyber security purposes. In a blog post earlier this month, Anthropic said the model had already identified thousands of major vulnerabilities across operating systems, web browsers and other widely used software.
Michael Burry Continues Shorting Palantir, Sees Anthropic as Top AI Winner
Michael Burry, renowned for predicting the housing market crash in 2008, is continuing to short Palantir Technologies. In a recently deleted post on X, Burry claimed that "Anthropic is eating Palantir's lunch." Following this announcement, Palantir's stock experienced a sharp decline of over 13% within five days. Burry's Position on Palantir Burry first revealed his put options on Palantir in the fall of 2025. Put options enable investors to sell a stock at a predetermined price by a specified date, serving as a strategy for those anticipating a price drop. Despite some recovery in Palantir's share price following supportive comments from Donald Trump on April 10, Burry remains committed to his positions, reinforcing his bearish outlook on the company. Reasons for Burry's Short Position In his latest Substack update, Burry provided reasons for betting against Palantir, contrasting it with Anthropic. He stated that Anthropic's valuation surged from $9 billion to $30 billion in a matter of months, whereas Palantir took two decades to reach $5 billion. * Market Growth: Burry emphasized that Anthropic offers a more user-friendly and cost-effective solution for businesses. * Government Contracts: He noted that Palantir's reliance on low-margin government contracts limits its growth potential. * New Enterprise Spending: Burry claimed that Anthropic captures approximately 73.3% of new enterprise spending on AI, indicating its rapid adoption. Although Burry referenced the Ramp report, it's essential to clarify that these figures do not account for AI options from other competitors like Google or xAI. AI Market Landscape According to the same report, OpenAI leads the market, with 34.4% of U.S. businesses having a paid subscription, while Anthropic holds a significant second place at 24.4%. This positioning suggests that Anthropic is well-placed to expand its market share, especially with initiatives like Project Glasswing aimed at countering AI-driven cyber threats. Burry's Broader Concerns Burry's skepticism extends beyond Palantir. In a November 2022 post, he suggested that there could be a bubble in the AI sector, particularly referencing NVIDIA. He has cautioned investors against heavily investing in NVDA stock, drawing parallels to historical market patterns that led to significant declines. Conclusion While Michael Burry acknowledges the potential in the AI space, his focus remains firmly on shorting Palantir, seeing Anthropic as a more favorable investment. As the AI market continues to evolve, investors may consider reassessing their portfolios in light of Burry's analysis.
Markets reopen, chaos follows
Following Iran-United States ceasefire talks, roads, business centres and markets that had been closed for security reasons were reopened. With commercial activity resuming and normal civic life restored, residents of the twin cities breathed a sigh of relief. However, after the departure of the delegations on Sunday evening, a serious lack of coordination between the district administration and the police was observed regarding the reopening of businesses. Traders reopened markets on the administration's signal, but police suddenly arrived and forced them to shut again. There were also reports of mistreatment of traders at several locations. Trader leaders strongly protested and demanded that the Commissioner and the Rawalpindi District Police Officer (DPO) take notice. Owing to the absence of clear directives, markets in Saddar remained closed, while other commercial centres in the city opened partially but were shut again due to the 8pm restriction. According to details, after the departure of key delegations on Sunday, the district administration permitted traders to reopen businesses at around 5pm. As soon as shops and markets began to reopen, police intervened and compelled traders to close them again. Traders staged protests against the alleged misconduct Zafar Qadri, Secretary General of Anjuman Tajiran Cantt, said that traders had kept businesses completely closed for four days in the national interest and had fully cooperated with the administration and police. He said that the traders' association had been instructed by the administration on Sunday evening to reopen businesses, but when they did so, police claimed they had not yet received any notification and forced closures, allegedly behaving improperly. He strongly condemned the police conduct and called upon Rawalpindi CPO Khalid Hamdani to take notice. Meanwhile, Sheikh Waheed, President of Anjuman Tajiran Liaquat Road, expressed regret that the Rawalpindi district administration, paramilitary forces and police had displayed irresponsibility, depriving traders of business even on Sunday. He noted that all trader organisations in Rawalpindi had voluntarily kept businesses closed from Thursday evening to Saturday in the broader national interest, even without formal notification, while commercial activities continued uninterrupted in Islamabad. Waheed added that despite permission to reopen following the conclusion of talks, police and paramilitary personnel forcibly shut shops again. Trader organisations across Rawalpindi strongly condemned what they described as humiliating treatment and erratic decisions regarding opening and closing markets. He further said traders had accepted closures in good faith for the country's sake, but the administration, paramilitary forces and police remained confused and failed to provide any responsible response. Earlier in the day, despite the conclusion of Iran-US peace talks, the garrison city remained completely sealed for most of the fourth consecutive day. Weekly Sunday bazaars inside the city were also closed. All markets, including jewellery, electronics, auto shops, hotels, restaurants, marquees and grocery stores, remained shut. When the city partially reopened after the talks ended, police once again enforced a complete shutdown. Announcements via megaphones warned that any open shop would face electricity disconnection, FIRs and heavy fines. As a result, commercial activity remained paralysed, affecting daily wage earners who were forced to borrow money or beg for food. Wholesale markets in Saddar and major food outlets remained closed. Due to the four-day closure, citizens had to travel to suburban areas to purchase vegetables, flour and sugar. Transporters and residents also obtained fuel from nearby localities. Wedding halls and marquees remained closed, leading to cancellation of Sunday events. Areas around Chaklala and Nur Khan Airbase were sealed, with a curfew-like situation prevailing. Residents of Khanna Road, Shakrial, Gangal, Islamabad Expressway, Shah Khalid Colony and surrounding areas remained confined to their homes, with restrictions on movement, rooftop access and even keeping doors and windows open.
Passengers 'stuck' in airport chaos as flight to Manchester leaves without them
Passport control delays meant passengers missed the Manchester-bound flight(Image: @Emily_Benn20) Passengers were left stranded in an airport in Milan amid border control chaos after an easyJet flight back to Manchester left without them on Sunday (April 12). It is thought there were around 100 passengers due to fly back to Manchester Airport on the 11am flight that were then left stranded at Milan Linate because of border control checks. Pictures and videos shared online showed scenes of mayhem as large queues formed at the international airport. It comes after the UK government updated its guidance to people travelling to the European Schengen area, meaning they may have to register biometric details when they arrived. The implementation of the EU entry and exit system (EES) is an electronic system that replaces the physical stamping of passports when going through boarding control. Get MEN Premium now for just £1 HERE - or get involved in our WhatsApp group by clicking HERE. And don't miss out on our brilliant selection of newsletters HERE. However large queues meant that swathes of customers were left stranded in the airport, and flights took off without them. This included the easyJet service to Manchester. However, the airline said that it held the plane for almost an hour extra, but had to eventually depart due to crew working hours. In a statement to the M.E.N, easyJet said passengers impacted have now been offered a 'free flight transfer' and have continued to urge passengers to arrive at the airport in plenty of time due to longer wait times. It has also slammed the EES waits that affected passengers as 'unacceptable'. Emily Benn, from Grimsby, was a member of a party of six due to catch the 11am flight back to Manchester. They are now flying into Gatwick and will then pay £400 for a taxi back to their car at Manchester Airport. She told the M.E.N: "We got to the airport at 8am and our flight was due to leave Milan Linate at 11am. "As soon as our gate came on the board, we went straight to it and there was already a huge queue. The queue was for three separate flights, and there were hundreds of passengers all trying to get through. The new EES wasn't working, so we all had to be checked by two people on passport control. "It got to 11:20am and we were told the flight had left without us. They put us all on a shuttle bus and sent us back to the arrivals area, where we had to go back to the easyJet desk. We were told to rebook flights, so have booked to Gatwick and will then pay £400 for a taxi back to Manchester as that's where our car is parked. We are a party of five adults and one child, who is due to have spinal surgery in a few days." In another post on X, a passenger wrote: "The 11am from Milan Linate to Manchester left without half the plane! Immigration queue for 1h 30mins. Then got escorted out of the airport and told that the plane had left without us. Had to pay for a hotel and fly to London Gatwick instead of Manchester." "What a nightmare!" a third posted. "You abandoned me and 122 other passengers in Milan. You flew to Manchester with 34 onboard. We queued for three hours and all the time the flight info remained at 'boarding' we were then told the delayed flight had left." An easyJet spokesperson said: "We are aware that some passengers departing from Milan Linate today experienced longer than usual waiting times at passport control and we advised customers due to fly to allow additional time to make their way through the airport. "We held flight EJU5420 from Milan to Manchester for nearly an hour to give passengers extra time but it had to then depart due to crew reaching their safety regulated operating hours. Customers who missed the flight have been offered a free flight transfer. "We continue to urge border authorities to ensure they make full and effective use of the permitted flexibilities for as long as needed while EES is implemented, to avoid these unacceptable border delays for our customers. While this is outside of our control, we are sorry for any inconvenience caused." According to the Gov.uk site, passengers travelling to a country in the Schengen area for a short stay using a UK passport, may be required to register biometric details, such as fingerprints and a photo, upon arrival. Travellers do not need to take any further action and there is no cost for EES registration.
A deep dive into the debate about Claude Mythos Preview, the model's capabilities, attempts to refute Anthropic's claims, and what it means for the future of AI
Craig Scott / @crascit: @antirez CMake has a simpler, more concise guideline around AI use. Basically it boils down to "AI tools are welcome, but you're still responsible for every submission as though you wrote it all yourself". https://gitlab.kitware.com/... AI assistance when contributing to the Linux kernel https://github.com/... Look like Linux foundation and big tech members like Microsoft, Google and others who are behind the Linux foundation drafted it. Basically it says that you can use AI/LLM, but you take full responsibility for your commits to the kernel and code must satisfy the license GPL-2.0-only. ...
Opinion | The U.S. military is missing out because of Hegseth's war on Anthropic
Defense Secretary Pete Hegseth at the Pentagon on April 8. (Kevin Lamarque/Reuters) Leaving aside the underlying merits of the contractual dispute, it is now abundantly clear that the Trump administration's aggressive actions against Anthropic have been counterproductive. The cutting-edge artificial intelligence business announced last week that its next-generation model, Mythos, has discovered zero-day vulnerabilities -- previously unknown software bugs that can be used by hackers to compromise systems -- in all major internet browsers and operating systems. The implication is stark: software may be more brittle than anyone suspected, and AI can now find and exploit those weaknesses faster than any human team can patch them. Everything that depends on software -- hospitals, banks, power grids, the devices in your pocket -- is potentially exposed.
Massive Delays and Long Airport Lines! EU's New Border System Causes Chaos - Are You Ready for the Wait
Published on April 11, 2026 Europe is facing significant delays at airports as the new Entry/Exit System (EES) is rolled out across all Schengen Zone borders, including major travel hubs in the UK, France, Germany, and Spain. The system, which has been introduced to modernise and streamline border controls, is creating unexpected bottlenecks as travellers from non-EU countries, like the UK, now face mandatory biometric registration upon entering the Schengen Area. Starting on 10 April 2026, all travellers from non-EU countries must provide fingerprints, a facial photo, and a passport scan at entry points into the 29 Schengen member countries. While the system is designed to improve border security, migration control, and efficiency in the long term, it is currently contributing to long queues and delays at airports, especially during peak travel seasons. The EU's Digital Border Revolution: What the Entry/Exit System Means The Entry/Exit System is a major step forward for the European Union, aimed at improving security and border control management. Under the new rules, non-EU nationals, including UK travellers, will no longer receive traditional passport stamps upon entry. Instead, biometric data, including facial recognition and fingerprint scans, will be collected at every border crossing. This means travellers will need to undergo additional checks before being allowed to enter any of the 29 countries in the Schengen Zone, including popular destinations like France, Germany, Spain, and Italy. This marks a significant shift from the old system, where only passport verification was required, to a more sophisticated process that tracks each traveller's movements more closely. The new system also plays a critical role in preventing overstays and maintaining security. The EES is designed to automatically flag when a traveller exceeds the permitted 90 days in any 180-day period. As a result, authorities will have real-time data on the entry and exit of foreign nationals, a major step toward tighter control over the Schengen Area's borders. What's Causing the Delays at Airports Across Europe? While the EES aims to streamline the border process in the future, its immediate impact has been felt at major airports across Europe, where travellers are encountering longer wait times than usual. Reports from travellers at key entry points such as Paris Charles de Gaulle, Frankfurt, and Schiphol airports have indicated queues stretching for hours, with some passengers waiting up to four hours to complete the new biometric checks. There are several key reasons for these delays: 1. New Technology and Infrastructure Transition The EES requires state-of-the-art biometric technology to be in place at every entry point. While many airports have invested in these systems, others are still adjusting to the new technology. Some airports have reported that the transition has caused significant delays, particularly at manually operated checkpoints where biometric kiosks are not yet fully implemented. As these systems scale up across all entry points, further delays are expected. Airports that lack self-service kiosks are experiencing bottlenecks due to the manual nature of the biometric data collection. 2. Increased Passenger Flow During Peak Travel Seasons The introduction of EES coincides with a busy travel season, with Easter and the summer holidays fast approaching. The number of passengers crossing European borders has surged in recent weeks, compounding the problem. In combination with new biometric processes, this has led to significant slowdowns at major international airports. Given the increased passenger volume and the added layer of biometric verification, the time required to clear customs and immigration has increased, with travellers expressing frustration over the unexpected delays. 3. Increased Scrutiny for Non-EU Nationals Travellers from non-EU countries such as the UK, the United States, and Canada are most affected by the new system, as they must go through additional biometric registration. While EU citizens are subject to fewer checks under the new system, non-EU nationals must submit fingerprints, a facial scan, and a passport scan for each entry. This added requirement is leading to longer processing times for non-EU travellers. As a result, non-EU nationals are facing the brunt of the delays at airports. How Are Authorities Addressing the Issue? The European Union has acknowledged the delays caused by the implementation of the Entry/Exit System and has committed to resolving these issues as quickly as possible. According to EU officials, the biometric check process will become faster as more self-service kiosks are deployed at airports and more staff are trained to handle the new systems. "While the new Entry/Exit System is designed to improve border security and streamline processes in the long term, we understand the frustration of travellers facing delays," said a spokesperson from the European Commission. "We are working closely with airports and border agencies to address the backlog and ensure smoother operations." In addition to increasing the number of kiosks, authorities have also pledged to enhance communication with travellers, offering clear instructions on the registration process and potential wait times at entry points. What UK and Other Non-EU Travellers Need to Know For UK travellers, the introduction of biometric checks at EU borders represents a significant change to the travel experience. As the UK is no longer part of the EU, British nationals must comply with the new biometric registration process to enter any Schengen Area country. There is no need for UK travellers to pre-register or apply for anything before their trip. However, they should expect to have their fingerprints and facial image scanned, along with their passport details, upon arrival at their first Schengen Area border. This biometric record will be stored for up to three years, allowing UK nationals to bypass the registration process for future visits. Travellers should also be aware that they may face longer wait times due to the initial backlog created by the new system. It's recommended that travellers arrive at airports with plenty of time to spare, especially during peak hours. What's Next for the EU Border System? Despite the initial hiccups, the EU's Entry/Exit System is expected to bring significant benefits in the long term. Once fully operational, the system will make it easier for travellers to pass through borders, with faster processing times and better overall security management. Additionally, the EES will work in tandem with the European Travel Information and Authorisation System (ETIAS), which will require travellers from non-EU countries to apply for travel authorisation before visiting the Schengen Area. The ETIAS is expected to be implemented in 2026 and will further streamline the entry process for foreign nationals. In the meantime, EU officials are working to address the delays caused by the introduction of biometric checks, and airports are expected to see improvements as the new system stabilises. Conclusion: The Future of European Travel As the European Union rolls out its new Entry/Exit System, the initial delays at airports across the continent are an unfortunate but necessary step towards a more secure and efficient border system. While the system's implementation has led to long queues and frustration among travellers, the EU's commitment to addressing these issues means that smoother operations are likely in the near future. For now, travellers heading to the Schengen Area should be prepared for longer wait times at border checkpoints, particularly if they are coming from non-EU countries like the UK. With continued adjustments and the deployment of more technology, the EES is expected to improve the European travel experience for years to come.
UK financial authorities assess potential risks of Anthropic's new AI model: Report
Anthropic new AI model leaked, reported to be the most powerful one. File image/Reuters UK financial regulators are holding critical talks with the government's cybersecurity agency and major banks to assess risks posed by the latest artificial intelligence model from Anthropic. The Financial Conduct Authority, officials at the Bank of England, and HM Treasury are in talks with the National Cyber Security Centre to examine potential vulnerabilities in critical IT systems highlighted by Anthropic's latest AI model, as reported by the Financial Times. Representatives from major British banks, insurers, and exchanges are expected to be briefed on the covert security risks posed by the model, Claude Mythos Preview, at a meeting with regulators in the next fortnight, it said, citing two people briefed on the talks. Soon afterwards, a meeting called by US Treasury Secretary Scott Bessent with major Wall Street banks will also examine the model's cyber risk potential. The startup has said that the model is being deployed as part of "Project Glasswing nL4b40Q0LK," a controlled initiative under which only select institutions are allowed to use the unreleased Claude Mythos Preview model for defensive cybersecurity purposes. Earlier posts by the AI platform had revealed how it had already identified thousands of major vulnerabilities across operating systems, web browsers, and other widely used software. Claude Mythos's exceptional cybersecurity capabilities make it dangerous for public release. Its profound findings of a critical piece of security infrastructure and multiple vulnerabilities in the Linux kernel, essential for computer systems worldwide, have further alarmed the industry about its capabilities. Since these capabilities could be made widely available with its launch, cybersecurity experts have started raising alarm. Aware of the catastrophe such functionality would lead to if users were to access it, Anthropic is offering the new model to companies first to use it to find issues in their critical infrastructure, including Apple, Microsoft, and Google. The hope is that they would be able to find gaps in their security and fix them before the model is fully launched.
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Anthropic Closes In on OpenAI as Enterprise AI Growth Shifts Momentum
Anthropic is starting to close the gap with OpenAI in the race for paying business users, as new data points to a shift in how companies adopt AI tools. While OpenAI still leads, recent figures suggest that growth in business adoption is slowing, while Anthropic is gaining traction. Claim 30% Off TipRanks * Unlock hedge fund-level data and powerful investing tools for smarter, sharper decisions * Discover top-performing stock ideas and upgrade to a portfolio of market leaders with Smart Investor Picks According to data from payments company Ramp, nearly 30% of U.S. businesses paid for Anthropic's tools in March. That marks a rise of more than 6 percentage points in just one month. In contrast, OpenAI's share held steady at about 35%. This gap remains meaningful, yet the trend shows a clear change in momentum. As one analyst at Forrester noted, the data points to a "clear shift in momentum" toward Anthropic, even as broader market conditions remain stable. Enterprise Demand Drives the Shift The shift appears tied to how each company is positioning its products. Anthropic has focused on tools that help with coding and office work, which are areas where businesses tend to spend more. Its Claude platform includes features that automate tasks and integrate into daily workflows. As a result, Anthropic is seeing strong growth in sectors such as financial services and professional services, while also expanding into areas like construction and hospitality. This suggests that its tools are moving beyond early adopters and into wider business use. An economist at Ramp said that Anthropic has been "extremely successful at going from power users and early adopters to something that is applicable outside of that ecosystem." Meanwhile, OpenAI still leads in overall usage. The company has said it has about 900 million weekly active users, though only just over 5% are paying customers. This gap highlights a key issue, as strong consumer use does not always translate into business revenue. Growth Slows for OpenAI, but Scale Remains Strong OpenAI's growth remains substantial, yet some signs of slowing are emerging. ChatGPT downloads rose 5% in March, which is modest compared to earlier periods. In addition, U.S. weekly active users declined month-over-month for the first time since early 2024, according to third-party data. At the same time, downloads of Anthropic's Claude app tripled to 21 million over the same period. This suggests rising interest, even if overall usage still trails ChatGPT. OpenAI has pushed back on some of the data. The company said it does not recognize the figures cited and pointed to its own metrics. It noted that its AI systems process more than 15 billion tokens per minute and that ChatGPT has "six times the monthly web visits and mobile sessions of the next largest AI app." In addition, OpenAI said its coding tool Codex reached 3 million weekly users, up from 2 million the month before. The company also highlighted early traction in advertising, stating that its ad pilot reached a $100 million run rate in six weeks. For now, OpenAI remains the largest player by scale. However, Anthropic's progress suggests that the race for enterprise AI customers is far from settled. Using TipRanks' Comparison Tool, we've compared notable companies that employ chatbots, such as Claude by Anthropic and OpenAI's ChatGPT. The comparison tool helps investors gain a broader outlook on each stock and the industry as a whole.
UK regulators rush to assess risks of latest Anthropic AI model, FT reports
April 12 : British financial regulators are holding urgent talks with the government's cyber security agency and major banks to assess risks posed by the latest artificial intelligence model from Anthropic, the Financial Times reported on Sunday. Bank of England, Financial Conduct Authority and Treasury officials are in talks with the National Cyber Security Centre to examine potential vulnerabilities in critical IT systems highlighted by Anthropic's latest AI model, the FT said, citing two people briefed on the talks. Anthropic did not respond to a Reuters' request for comment. The BoE, FCA and NCSC declined to comment. The UK Treasury was not immediately available for comment. Representatives from major British banks, insurers and exchanges are expected to be briefed on the cyber security risks posed by the model, Claude Mythos Preview, at a meeting with regulators in the next fortnight, the newspaper said. Reuters could not immediately verify details of the report. Reuters nL4N40T024 reported on Friday, citing two sources, that U.S. Treasury Secretary Scott Bessent had called a meeting with major Wall Street banks on the model's cyber risk potential. AI startup Anthropic has said the model is being deployed as part of "Project Glasswing nL4N40Q0LK", a controlled initiative under which select organizations are permitted to use the unreleased Claude Mythos Preview model for defensive cyber security purposes. In a blog post earlier this month, Anthropic said the model had already identified thousands of major vulnerabilities across operating systems, web browsers and other widely used software.
UK regulators rush to assess risks of latest Anthropic AI model, FT reports | Mint
April 12 (Reuters) - British financial regulators are holding urgent talks with the government's cyber security agency and major banks to assess risks posed by the latest artificial intelligence model from Anthropic, the Financial Times reported on Sunday. Bank of England, Financial Conduct Authority and Treasury officials are in talks with the National Cyber Security Centre to examine potential vulnerabilities in critical IT systems highlighted by Anthropic's latest AI model, the FT said, citing two people briefed on the talks. Anthropic did not respond to a Reuters' request for comment. The BoE, FCA and NCSC declined to comment. The UK Treasury was not immediately available for comment. Representatives from major British banks, insurers and exchanges are expected to be briefed on the cyber security risks posed by the model, Claude Mythos Preview, at a meeting with regulators in the next fortnight, the newspaper said. Reuters could not immediately verify details of the report. Reuters nL4N40T024 reported on Friday, citing two sources, that U.S. Treasury Secretary Scott Bessent had called a meeting with major Wall Street banks on the model's cyber risk potential. AI startup Anthropic has said the model is being deployed as part of "Project Glasswing nL4N40Q0LK", a controlled initiative under which select organizations are permitted to use the unreleased Claude Mythos Preview model for defensive cyber security purposes. In a blog post earlier this month, Anthropic said the model had already identified thousands of major vulnerabilities across operating systems, web browsers and other widely used software. (Reporting by Mihika Sharma in Bengaluru; Editing by Bernadette Baum, Christina Fincher and Alexander Smith)
Building a Forex Expert Advisor with Ensemble Intelligence: From Chaos to Consistency
About four months ago, I dove deep into the world of ensembles for building Forex expert advisors. Day and night, I ran experiments, chasing a simple but powerful idea. Combine multiple timeframes, multiple folds, and different perspectives into one unified system that produces a consensus decision. At first, it felt almost too elegant to fail. The core intuition was straightforward: logits that correctly detect their regime should overpower the noise from weaker signals. When aggregated, these logits form a clearer directional bias. In the subplot "TF logits (avg)" (shown below), you can see how different timeframes frequently diverge -- some pointing up, others down -- creating moments where the consensus becomes strong enough to justify a trade or avoid one entirely. But very quickly, I ran into a classic and frustrating problem: unknown future periods. Imagine two test windows -- August to December and November to March. Both span five months. You train one model up to August, and another up to November. And here's the catch: when one performs well, the other fails. When the second succeeds, the first collapses. This instability persisted for months. I tried everything. Fixed folds, where the dataset is split into equal chunks -- no success. Expanding folds, where each new fold includes all previous data -- still no luck. Then regime-based folds, isolating volatile, trending, or flat markets -- again, no consistency. Each approach seemed promising, yet ultimately failed to generalize. Then came a critical realization. Why should folds be tied to specific dates at all? Why anchor everything to August or November as if those points define the future? What if a model simply isn't ready by that date? That assumption alone could break the entire system. The breakthrough was simple, yet powerful: instead of anchoring folds to fixed endpoints, I began selecting them within a rolling window -- say, six months. Each subsequent fold would slightly overlap with the previous one, touching its boundary and extending further into the past. This created a smooth transition between folds, rather than abrupt, artificial splits. Each fold has a fixed duration and moves forward in time with a constant step -- one week. This results in hundreds of folds: over 500 on the 6-hour timeframe, more than 400 on the 8-hour timeframe, and so on. The diversity and continuity of these folds became the key. Below is a minimal piece of code that demonstrates this "simple magic" of generating weekly rolling folds: This approach finally allowed me to build ensembles that survive unknown periods with solid profitability. Importantly, the same methodology is applied consistently across both training and ensemble construction. In the August-December test, the advisor stays flat during the first month, then starts capturing strong profits. In the November-March test, performance is smoother: it begins collecting gains almost immediately and scales up over time. A notable pattern is the preference for USDJPY, which, as we know, was highly volatile during this period. That volatility created exactly the kind of opportunity the ensemble was designed to detect and exploit. The above results come from the LSTM Ensemble with default settings. For a balanced setup targeting around 10% drawdown and 400+ USD profit over five months, I recommend: At this point, I'm seriously considering starting a GitHub repository or even a YouTube channel. The topic has grown far beyond a single post. There's also a meta-model layer, additional neural architectures, and cross-symbol training (gold + major FX pairs). There's a lot of room to expand -- and I'm just getting started.
Safe Money Report Under Investigation: Martin Weiss's 2026 "Age of Chaos" Report Outlines Six-Step Framework Addressing Dollar Instability, Gold, and Bitcoin Amid Rising Market Volatility
Weiss Ratings' 2026 Financial Research Report Also Addresses Farmland Exposure, Stock Ratings Across 53,000+ Securities, and Portfolio Risk Considerations Amid Trade War Uncertainty Palm Beach Gardens, FL, April 11, 2026 (GLOBE NEWSWIRE) -- Note: This publication contains affiliate links. A commission may be earned if a subscription is completed through links in this content, at no additional cost to the reader. This is not investment advice. Investing involves risk, including potential loss of principal. Past performance does not guarantee future results. Readers are encouraged to consult a qualified financial advisor before making investment decisions. A newly released 2026 research report from Weiss Ratings introduces what it describes as an "Age of Chaos" across global financial markets, highlighting shifting volatility patterns and increased attention toward alternative assets including gold, Bitcoin, and farmland. The report outlines multiple market conditions the company states are creating unusual investment dynamics -- and presents a six-step framework the company describes as a structured approach for evaluating market conditions and portfolio risk during periods of extended uncertainty. The report includes the following sections outlining its framework, methodology, and supporting materials. View the current Safe Money Report offer (official Weiss Ratings page) The report is presented by Martin Weiss, founder of Weiss Ratings, LLC -- a Palm Beach Gardens, Florida-based financial research and ratings company that the company states has operated for over 50 years. Weiss Ratings describes itself in its published terms of service as strictly a financial research publishing firm, not a registered investment adviser. The report's central thesis, as presented by Weiss, holds that a convergence of macroeconomic forces -- dollar instability, trade policy disruption, Federal Reserve monetary expansion, and rapid technological change -- has created what he characterizes as an unusually volatile and unpredictable investment environment. The company frames this not as a short-term condition but as a structural shift likely to persist for a decade or more. The promotional materials feature Weiss presenting from a farm in Brazil, where the company states he maintains active interests in agricultural assets. The report is presented as a time-sensitive update based on current market conditions, with Weiss describing his return from retirement as a direct response to what the company characterizes as an unusually consequential period for investors. The company states its ratings system has been ranked by an SEC-sponsored independent study as having the top profit track record among financial ratings firms, and that a Wall Street Journal comparative analysis placed Weiss Ratings above major institutional firms for stock ratings accuracy. These represent the company's own statements regarding third-party assessments; readers may wish to review those sourced studies and consult a qualified financial professional before making decisions. Market Conditions Highlighted in the Report The 2026 Age of Chaos report identifies several interconnected market dynamics the company states are shaping the current investment environment: Dollar pressure: The report presents what it describes as compounding pressure on the U.S. dollar -- tracing a trajectory from the 1971 end of the gold standard through post-2008 monetary expansion to current trade tensions. Weiss's thesis holds that trade war outcomes across likely scenarios tend to weaken dollar positioning, creating inflationary pressure and reducing the relative value of dollar-denominated assets. Market disconnects: The report uses observable market events -- including instances where stocks declined despite strong earnings reports -- as supporting evidence for what it characterizes as unusually disconnected market behavior. These are presented as illustrations of the broader volatility thesis, not as actionable investment signals. Rising alternative asset attention: Amid increasing volatility across traditional equity and fixed income markets, the report places particular emphasis on what it describes as historically resilient alternative asset categories. Gold, Bitcoin, and farmland are each presented as playing distinct roles within a volatility-oriented positioning framework. The company's required risk disclosure, included in its terms of service, states that no representation is made that any account will achieve specific profits or losses, and that hypothetical performance results have inherent limitations. The market conditions presented in this report represent Weiss's analytical framework -- not guaranteed forecasts. Overview of the Six-Step Framework Presented The report's core deliverable is described as a six-step plan for what the company frames as positioning portfolios during periods of volatility. Each step is detailed in the report and associated bonus materials: Step 1 -- Liquidity prioritization: The framework recommends focusing on investments meeting minimum liquidity thresholds -- specifically, a market cap of at least $250 million and average daily trading volume of at least 100,000 shares. The rationale presented is maintaining the flexibility to enter and exit positions quickly. A dedicated bonus report covers the company's methodology for identifying liquid investment vehicles. Step 2 -- Low-rated holdings identification: The Weiss Ratings system generates what the company calls an "X-List" -- currently described as covering more than 6,000 U.S. stocks the system rates unfavorably. The report presents removing these low-rated holdings as a foundational step in the framework. The complete list is provided to subscribers. Step 3 -- High-rated stock identification: The framework identifies a subset of stocks the Weiss system currently rates highly across sectors the company describes as relatively resilient to tariff and supply chain exposure -- including communications, consumer staples, energy, and insurance. These represent the system's current ratings output, not personalized investment recommendations. Step 4 -- Gold exposure: The report presents gold as what it describes as the most reliable historical hedge during periods of dollar weakness and inflation. The company references gold's long-term price trajectory since 1971 as supporting data. A bonus report details the company's approach to gold acquisition, storage considerations, and what it describes as common gold investment mistakes to avoid. Step 5 -- Bitcoin positioning: The report presents Bitcoin as an asset that has historically shown independent performance patterns relative to traditional markets -- and outpaced gold returns over specific measured periods the company cites. The materials acknowledge that Bitcoin is subject to periodic bear markets and a four-year cycle the company's team monitors. As with all assets referenced in this report, past performance does not guarantee future results. A cryptocurrency ratings report covering the company's current assessments of individual coins is included with the subscription. Step 6 -- Farmland exposure: The framework presents agricultural land as an asset the company describes as having demonstrated strong return characteristics during inflationary periods. The approach does not require direct land ownership -- a publicly traded vehicle for accessing farmland exposure is detailed in the associated bonus report. The company states historical average annual farmland returns have been approximately 11%; past performance does not guarantee future results. Asset Trends Referenced: Gold, Bitcoin, and Beyond At a time when market volatility continues to draw increased investor attention, the report places particular emphasis on three alternative asset categories -- framing them not as speculative positions but as what the company describes as structurally motivated allocations. On gold: The report traces gold's long-term trajectory from its 1971 price point through current levels, presenting this history as evidence of gold's role as a dollar hedge during periods of monetary stress. The company's bonus materials cover multiple gold acquisition formats and detail what it describes as a specific legal structure that has historically been exempt from government confiscation orders -- a reference to a 1933 executive order the report uses as historical context. On Bitcoin: The report references Bitcoin's performance relative to gold over specific historical periods and cites several macroeconomic stress events during which Bitcoin showed positive returns while traditional markets declined. The company acknowledges Bitcoin's volatility and periodic drawdowns, characterizing these as cyclical rather than structural. Rising institutional adoption -- including participation from major financial firms -- is cited as supporting the asset's growing role in portfolio construction. Past performance does not guarantee future results. On farmland: The report presents global farmland -- with particular focus on South American agricultural land -- as benefiting from what the company describes as structural demand driven by food security concerns, trade disruption dynamics, and the relative scarcity of high-quality agricultural land. The report notes this region holds a significant share of the world's freshwater resources and agricultural potential, citing a Wall Street Journal reference to its positioning in global trade dynamics. How the Weiss Ratings System Is Described A central component of the Safe Money Report value proposition is access to the Weiss Ratings methodology -- the company's proprietary quantitative system for rating securities, financial institutions, and cryptocurrencies. The company describes the system as built on historical financial data, balance sheet metrics, liquidity measures, and performance indicators -- processed through mathematical formulas the company states are free from subjective judgment or external commercial influence. Weiss Ratings states it does not accept compensation from any entity it rates, which the company presents as the foundation of its independence claim. According to the company's published disclosures, the system currently covers more than 53,000 stocks, ETFs, mutual funds, banks, insurance companies, and cryptocurrencies. Safe Money Report subscribers receive access to these ratings as part of their subscription. The company's terms of service include a required risk disclosure specifying that hypothetical performance results have inherent limitations; that hypothetical trading does not involve financial risk; and that no representation is made that results shown in hypothetical materials will be achieved by any specific account. The company's own disclosures describe certain featured gains as atypical -- highlighted specifically because they are exceptional, not because they represent a typical subscriber experience. Risk Considerations Noted in the Company's Disclosures The Safe Money Report promotional materials and Weiss Ratings terms of service include several risk considerations the company presents directly. These are worth noting: On investment risk: The company's terms state that trading in stocks, ETFs, precious metals, cryptocurrencies, and other assets is considered speculative and involves the risk of loss. The terms recommend that capital allocated to speculative investments be limited to money investors can afford to risk without affecting daily expenses, retirement plans, or education funding. On data accuracy: The company's terms note that most information is derived from primary sources including government agencies and publicly traded companies, but that accuracy is not independently verified. The terms state that Weiss Ratings cannot assure information is complete or accurate, and does not guarantee the success of any investment decision made using its data. On personalized advice: The company's terms explicitly state that the service is not intended as customized recommendations to buy, hold, or sell securities, or to claim that any investment strategy is suitable for any specific person. Such recommendations may only be made by a personal adviser or broker selected by the individual investor. On capital preservation goals: The company's terms state that investors whose primary goal for a portion of their funds is capital preservation should consider conservative instruments such as short-term U.S. Treasury securities -- not the speculative positions the newsletter covers. These risk considerations are drawn directly from Weiss Ratings' published terms of service and represent the company's own disclosures regarding the nature and limitations of its research. What the Report Emphasizes -- and What It Does Not Address While the 2026 Age of Chaos report places significant emphasis on alternative asset exposure and volatility-driven portfolio positioning, several areas receive limited treatment in the promotional materials: The report does not explore downside scenarios for the alternative assets it features -- including extended gold consolidation periods, Bitcoin bear market drawdowns, or the liquidity constraints associated with farmland investment vehicles. The report does not address tax implications of the asset allocations it describes -- including the treatment of cryptocurrency gains, precious metals classified as collectibles under U.S. tax code, or the specific structure of farmland investment vehicles. The report presents the Age of Chaos thesis as the primary analytical frame. Alternative interpretations of current market conditions -- including views held by analysts who do not anticipate extended dollar weakness or sustained commodity outperformance -- are not addressed. The report does not detail how this framework applies across different investor profiles -- including investors at or near retirement, those with concentrated equity positions, or those with limited risk tolerance. Readers may wish to review additional sources and consult a qualified financial professional before making decisions based on any of the frameworks presented here. Accessing the Full Report and Additional Materials Safe Money Report is available as an annual subscription. According to the company's offer page at the time of publication (April 2026), the promotional price is $49 for the first year, discounted from the stated regular price of $129 per year. All pricing is subject to change; verify current pricing on the official offer page before subscribing. The subscription includes 12 monthly issues delivered on the second Friday of each month, the six bonus research reports described above, the Weiss Ratings Daily e-letter, and access to ratings across more than 53,000 securities. According to the company's published terms of service, the first-year subscription fee is described as fully refundable if canceled at any point during the first year. After the first year, the subscription auto-renews annually at the then-current rate, with prorated refunds available on any unused balance. The company's terms state that subscribers may retain all bonus reports and issues received even if they cancel within the first year. For complete and current refund and cancellation terms, review the Weiss Ratings Terms and Conditions before subscribing, as policies are subject to update. For questions, the company's published contact information is as follows: Phone (USA): 1-877-934-7778 Phone (International): +1-561-627-3300 Hours: Monday-Friday, 9:00 AM-5:30 PM ET Email: [email protected] Address: Weiss Ratings, LLC, 11780 US Highway 1, Palm Beach Gardens, FL 33408-3080 View the current Safe Money Report offer (official Weiss Ratings page) Disclaimers Investment Risk Disclaimer: Investing involves risk, including potential loss of principal. Past performance does not guarantee future results. The stock ratings, investment themes, and analysis presented in Safe Money Report promotional materials represent the methodology and editorial perspective of Weiss Ratings and should not be construed as personalized investment advice. Always conduct independent research and consult a qualified financial advisor before making investment decisions. Publisher's Exclusion Notice: According to Weiss Ratings' published terms of service, the company operates as a financial research publisher and states it functions under the publisher's exclusion from investment adviser registration. The service provides general financial information and research; it does not provide individualized investment advice. All subscribers receive the same research regardless of their personal financial situation, risk tolerance, or investment goals. Results Disclaimer: Stock examples and performance figures cited in Safe Money Report promotional materials represent historical selections highlighted by Weiss Ratings. According to the company's own required risk disclosure statement, featured gains are described as atypical and are presented specifically because they are exceptional -- not because they represent typical subscriber results. Individual investor outcomes vary significantly based on entry timing, position sizing, holding period, and broader market conditions. Losses are possible and have occurred for subscribers. Hypothetical performance results have inherent limitations as described in the company's published terms. Affiliate Disclosure: This content contains affiliate links. If a subscription is completed through these links, a commission may be earned at no additional cost to the reader. This compensation does not influence the accuracy, neutrality, or integrity of the information presented. All descriptions are based on publicly available information from Weiss Ratings' official website, offer page, and published terms of service. Pricing Disclaimer: All subscription pricing, promotional offers, and refund terms mentioned reflect publicly available information at the time of publication (April 2026) and are subject to change without notice. Always verify current pricing and terms on the official Safe Money Report offer page and in the Weiss Ratings Terms and Conditions before subscribing. Publisher Note: All descriptions are based on publicly available information from Weiss Ratings' official materials. Readers are encouraged to verify all details directly with the company before making decisions.
Anthropic Takes Aim at Microsoft's Core Franchise With Claude for Word, Betting Big on Legal and Enterprise Workflows - Tekedia
Anthropic's beta launch of Claude for Word marks a fresh escalation in the enterprise AI battle, moving Claude deeper into the heart of daily office workflows and directly challenging Microsoft's dominance in document software, legal tech, and knowledge work automation. Anthropic has opened a new front in the enterprise AI war with the beta launch of Claude for Word, a move that goes far beyond another productivity add-in and signals a direct challenge to Microsoft's hold over workplace software. By embedding Claude natively into Microsoft Word, the AI startup is making an aggressive push into one of the most entrenched enterprise ecosystems in the world: document creation, contract review, memo drafting, and collaborative editing. The immediate target appears to be high-value professional work, particularly legal services, finance, and enterprise advisory functions. Anthropic said the new add-in is "designed for professionals who work extensively with documents, particularly in legal review, financial memo drafting, and iterative editing." The move is seen as not a mass-market writing assistant aimed at casual users but a deliberate attempt to move Claude into specialized, workflow-intensive environments where document precision, auditability, and revision control are essential. For the legal profession in particular, the product has been built around real-world review processes rather than generic text generation. Users can ask the model to interrogate a contract and receive answers with clickable section citations, a feature that closely mirrors how lawyers and deal teams work through agreements. Anthropic's own example prompts underscore this focus. They include: "Summarize the key commercial terms: parties, term, governing law, and anything off-market." Other prompts include: "Flag provisions that deviate from standard market position, ranked by severity," and "What did the counterparty change, and which revisions are dealbreakers?" These are not generic prompts. They map directly onto core tasks in M&A, financing documentation, commercial contracts, and litigation review. That makes the product potentially significant for law firms, in-house counsel, private equity shops, and investment banks, where document turnaround time directly affects deal velocity. The tracked changes integration may be the most strategically important feature. Rather than generating disconnected text in a separate chat window, Claude works inside the document layer itself. Every edit can be accepted or rejected as a formal revision, preserving Word's native redlining workflow. This is crucial for enterprise adoption because it keeps humans firmly in the review loop while making AI output operationally usable. Anthropic says the tool can "edit selected text while preserving surrounding styles, numbering, and formatting," and that a "tracked changes mode" lets users accept or reject every edit as a revision. That solves one of the major friction points in enterprise AI deployment: workflow disruption. Instead of forcing professionals to leave Word, copy content into a chatbot, then manually paste it back, Claude is now positioned directly where the work happens. Strategically, this is a far more consequential move than it may first appear for competitive reasons. Microsoft has long treated Word, Excel, and PowerPoint as the cornerstone of its software empire, and its Copilot strategy is built on AI-enhanced productivity across that stack. Anthropic is now effectively inserting its own intelligence layer into Microsoft's moat. This is especially notable given that Claude had already been pushed into Excel and PowerPoint earlier this year, expanding its presence across the Office ecosystem. The broader implication is that Anthropic no longer wants to be viewed primarily as a developer-first AI company. For much of its commercial rise, Claude has been strongly associated with coding, developer tooling, and enterprise APIs. This latest rollout signals a much broader ambition. The company is now explicitly targeting knowledge workers across legal, finance, HR, strategy, and executive teams. In effect, Anthropic is positioning Claude not as a chatbot, but as an enterprise operating layer. This is where the competitive pressure on Microsoft becomes more interesting. While Microsoft still controls the software environment, Anthropic is competing at the intelligence layer. That means the battle is shifting from who owns the application to who owns the decision-making and drafting workflow inside the application. This raises a larger question about the future of productivity suites for investors and enterprise software watchers. The next moat may no longer be the document container itself. It may be the AI system that understands context, interprets legal nuance, tracks revisions, and accelerates professional decision-making. If that thesis proves correct, Anthropic's Word integration could be an early sign that AI companies are beginning to decouple value creation from the traditional software platforms they sit on top of. For now, availability remains limited to Team and Enterprise plans, which reinforces the premium, business-first positioning of the launch. The bottom line, however, is that Anthropic is moving aggressively beyond developers and into the core workflows of white-collar enterprise work, and in doing so, it is challenging one of the most durable franchises in corporate software.
How does Anthropic Mythos increase cyber risk?
Anthropic's Claude Mythos is being positioned as a major leap in capability, but the security angle around it is the focus of recent reporting. Anthropic limited the model's release to a smaller set of partners on cybersecurity grounds, citing concerns that a more capable system could find and act on software vulnerabilities faster than defenders can respond. The concern isn't only that Mythos can generate code; it's that it can autonomously discover weaknesses in systems and then help convert those findings into working exploitation paths. That has a direct implication for how teams run testing and triage, because the threat model starts to look less like a human attacker following a playbook and more like an automated vulnerability-finding pipeline. This is happening while regulators and financial institutions are increasingly treating AI security as an operational risk. Separate coverage describes banks and other institutions being drawn into the discussion around how new AI models could be used for offensive purposes, which raises the stakes for model access controls, monitoring, and incident response. The immediate takeaway is that defenses that rely on conventional vulnerability disclosure and slower exploit development may not be sufficient when AI systems can iterate quickly. That pushes organizations toward tighter controls on testing environments, stronger detection for automated probing, and clearer policies for what model access is allowed across partner ecosystems. In short, Mythos adds pressure to shift from "catch issues later" security to earlier, more automated detection and containment -- because the exploit creation loop can get dramatically faster when the tool doing the work is itself a frontier AI model.
