The latest news and updates from companies in the WLTH portfolio.
Airports across Europe could face "systemic" jet fuel shortages within three weeks if the Strait of Hormuz remains closed, an airport industry group has warned. Airports Council International Europe, which represents over 600 airports in 55 countries, sent a letter to the European Commission, warning that a fuel crunch would "significantly harm the European economy". The group said "the impact of military activity on demand" was further straining supplies. In the letter seen by the Financial Times, EU transport commissioner Apostolos Tzitzikostas was warned of "increasing concerns of the airport industry over the availability of jet fuel as well as the need for proactive EU monitoring and action". "If the passage through the Strait of Hormuz does not resume in any significant and stable way within the next three weeks, systemic jet fuel shortage is set to become a reality for the EU." Air connectivity contributes €851 billion in gross domestic product annually for European economies and supports 14 million jobs, with airports handling 26 per cent of Europe's exports by value, based on data up to 2019 from an ACI study.

Anthropic announced the model on April 7, 2026, as part of a cybersecurity initiative known as Project Glasswing. U.S. Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell summoned Wall Street leaders to an urgent meeting on April 10, 2026, following concerns over the capabilities of a new artificial intelligence model developed by Anthropic. The meeting was triggered by the introduction of Claude Mythos Preview, an advanced AI model designed to identify security flaws and weaknesses within software. The potential for the model to be exploited by bad actors has prompted a high-level response from U.S. Financial regulators and the Treasury. Anthropic announced the model on April 7, 2026, as part of a cybersecurity initiative known as Project Glasswing. Due to the risks associated with its advanced cyber capabilities, the company is limiting access to the technology rather than releasing it to the general public. The model is being rolled out to a select group of approximately 40 companies intended for defensive security work. Initial launch partners include: Dianne Penn, Anthropic's head of research product management, stated in an interview with CNBC that the company viewed this limited release as a first step to provide cyber defenders with a head start on an increasingly important topic. The announcement followed the discovery of model descriptions in a publicly accessible data cache by Fortune in late March 2026. This leak reported that the model possessed advanced cyber capabilities that posed a significant risk, which subsequently led to a decline in cybersecurity stocks. Anthropic has characterized the model as a cybersecurity reckoning, emphasizing its ability to pinpoint vulnerabilities that could be used for both defensive and offensive purposes. The model, Claude Mythos Preview, excels at identifying weaknesses and security flaws within software and Anthropic is limiting access to try to prevent bad actors from exploiting that capability The ability of the AI to discover thousands of vulnerabilities has created a sense of urgency among U.S. Officials, leading to the emergency summons of bank CEOs to discuss the systemic risks the technology might pose to the financial sector.

Anthropic (ANTH.PVT) and CoreWeave (CRWV) announced they're entering into a multiyear agreement under which the AI cloud company will provide Anthropic with computing capabilities to build and power its AI models. CoreWeave says Anthropic will use its cloud services to run workloads at "production scale," and that it will initially focus on a phased rollout with the option to expand the agreement in the future. The companies didn't provide the terms of the deal, including pricing or how many gigawatts of chips it will cover. The announcement comes after Reuters reported that Anthropic is also considering designing its own semiconductors to contend with the AI chip crunch. Earlier this week, Anthropic also said it's working with Broadcom (AVGO) and Google to use 3.5 gigawatts of Google's Broadcom-made (AVGO) Tensor Processing Units. AI companies across the board are working to secure as many semiconductors as possible as they build out their AI services. Anthropic rival OpenAI (OPAI.PVT) is also developing its own chips. In October, the company entered into a partnership with Broadcom to develop upwards of 10 gigawatts of custom semiconductors for its various AI services. That's in addition to deals it has with both Nvidia (NVDA) and AMD (AMD). And last month, Meta (META) revealed four new custom AI processors, including its MTIA 400, which the company says delivers raw performance rivaling some of the top chips on the market. The social media giant, like Anthropic, also entered into a deal with CoreWeave that will see CoreWeave power Meta's AI services through December 2032. CoreWeave says that the capacity will be spread out among a number of its data center locations and include some of the first deployments of Nvidia's (NVDA) upcoming Vera Rubin system. In January, Microsoft (MSFT) also revealed a new custom AI chip that will serve as an alternative to Nvidia and AMD's offerings. Amazon (AMZN) and Google (GOOG, GOOGL) have been using their own chips for years. Unlike Microsoft, however, those companies are looking to sell or rent their chips to third-party customers. In February, The Information reported that Meta inked a deal with Google to rent that company's TPUs and is exploring purchasing them for its own data centers. Amazon CEO Andy Jassy also pitched the idea of selling the company's chips in large servers to third-party customers in his latest annual shareholder newsletter on Thursday. Email Daniel Howley at [email protected]. Follow him on Twitter at @DanielHowley. For the latest earnings reports and analysis, earnings whispers and expectations, and company earnings news, click here
Protests over fuel prices have caused chaos in Ireland and spread to Norway in a knock-on effect from the conflict in the Middle East. Hauliers, farmers and other groups blocked motorways and brought parts of Dublin to a standstill on Friday in a fourth consecutive day of action. In Ireland the protests have sparked fuel shortages and travel disruption, and in Norway lorry drivers taking part in the "diesel roar" protest descended on the capital. The Irish government put the army on standby to help remove blockades and police warned some protesters to disperse or face arrest, prompting defiance and threats to continue the disruption for weeks if necessary. Protests were endangering critical supplies of food, fuel, clean water and animal feed, the police force, An Garda Síochána, said in a statement. "This is not tolerable and is against the law." Government leaders have accused protesters of holding the country to "ransom". The blockade of ports and a refinery meant Ireland was on the verge of turning away oil deliveries and losing its supply, the taoiseach, Mícheál Martin, told RTÉ. "It is unconscionable, it's illogical." Despite government mitigation measures, in recent weeks the price of diesel has risen from about €1.70 a litre to €2.17 and petrol has jumped from about €1.74 to €1.97. Industry representatives were expected to convey their members' grievances at a meeting with ministers later on Friday but it was unclear whether that would satisfy protesters who have called for direct talks with the government. The justice minister, Jim O'Callaghan, said "outside actors", such as the British far-right activist Tommy Robinson, were manipulating the protests for their own agenda. In Denmark's recent election the far-right Danish People's Party tried to tap discontent by paying voters for their petrol. The rise in oil prices since the US and Israel began attacking Iran on 28 February has convulsed global markets and triggered outcries from consumers and businesses who want governments to do more to soften the blow. Some announced temporary cuts in fuel taxes while others took measures to restrict demand and considered rationing. The Philippines declared a state of "national energy emergency". Authorities in France tried to avert widespread shortages by announcing on Friday that fuel tankers would be allowed to circulate on weekends and public holidays until 11 May. In Norway protesters on Friday drove a convoy of lorries to the parliament in Oslo. About 70 to 80 trucks, some with banners that read "nok er nok!" (enough is enough!), joined another group known as Dieselbrølet (diesel roar). Only a handful were allowed to drive into the capital. Norway cut fuel taxes on 1 April but hauliers say they need more predictable and lower prices. Despite being an oil producer, fuel prices in Norway have surged since the effective closure of the strait of Hormuz. The Statistics Norway institute said the price of fuel and lubricants rose by 17.9% from February to March, with diesel prices in that period jumping by 23.6%. A Statistics Norway spokesperson said it had never recorded a sharper month-on-month increase in fuel prices using the CPI inflation index. "The last time we saw something similar was in the spring of 2022, following Russia's full-scale invasion of Ukraine, but in that case the price increase occurred over two consecutive months." Last month the Irish government announced a €250m package of measures to reduce fuel costs, including a temporary excise duty reduction, expansion of a diesel rebate scheme for hauliers and bus operators and an extension of the fuel allowance. Blockades of Ireland's sole oil refinery at Whitegate, Co Cork, and fuel depots in Galway City and Foynes in Co Limerick crippled deliveries. Dozens of forecourts ran dry and there were warnings that would soon become hundreds as motorists rushed to fill up on petrol and diesel. Columns of tractors and other vehicles closed motorways and Dublin's main thoroughfare, O'Connell street. The Irish Medical Organisation said slower emergency services response times and missed healthcare appointments would harm patient welfare. The courier company DPD suspended deliveries. Protesters were prepared to remain in the capital for weeks, a spokesperson, John Dallon, told RTÉ. "If it takes a month, we are prepared to sit here," he said. He accused the government of ignoring the plight of people facing hardship and ruin because of fuel costs. "How dare they come out and say that these people that are protesting are holding the country to ransom? It's the government that's holding this country to ransom, not the protesters." The taoiseach postponed a trade mission to Canada to deal with the crisis.
The Rollout includes airdrops token launch and VIP incentives to drive participation. Bitget has introduced a new product expanding early-stage market access, with SpaceX selected as the first base asset in its IPO Prime offering. The move establishes a model that allows users to access private companies before they go public. Bitget IPO Prime Introduces Pre-IPO Access The IPO Prime model functions on a subscription basis, with approved users requesting for allocations based on their account status. Higher-tier users receive larger allocation limits. After the subscription phase ends, the allocated assets move into a structured OTC market within Bitget, allowing continuous trading and pricing. The first product under this framework is preSPAX, which measures SpaceX's economic performance following a possible SpaceX public listing. However, the asset does not represent equity ownership but mirrors potential upside tied to a qualifying event. According to Bitget, the launch extends its Universal Exchange model into primary market access. This model combines multiple asset classes into a single platform, including crypto tokens, tokenized stocks, and other financial instruments. PreSPAX Rollout Timeline Sets Airdrops Launch and Distribution Phases The preSPAX rollout, according to an X post, includes multiple scheduled phases. Bitget will distribute two rounds of airdrops to eligible VIP users on April 13, 2026. The official token launch is set for April 21, 2026, with a commitment window running from April 18 to April 21. Following the pledge phase, distribution will take place within a four-hour window on April 21. These timelines specify how users access and trade the asset from subscription to secondary circulation. In addition, Bitget stated that the product predicts only SpaceX's economic performance and does not constitute a direct investment. The company also clarified that SpaceX has not endorsed or authorized the offering. This follows a previous announcement where Bitget rolled out AI-driven trading accounts as part of a shift toward automation, strengthening its move into agent-native market structures. Bitget Expands Broader Market Access Strategy The IPO Prime launch follows a separate initiative introduced earlier, where Bitget rolled out a VIP Fast Track Program. That program focused on accelerating user progression through VIP tiers based on trading activity and account holdings. The Fast Track Program gives users different incentives depending on user behavior. According to the press release, futures traders can earn up to 300 USDT in vouchers, while spot traders may receive fee rebates of up to 120 USDT. Users holding assets can access yield boosters reaching 7% in USDT. Additionally, Bitget introduced a VIP dashboard that permits real-time tracking of user status. The dashboard specifies requirements for advancing to higher tiers and details benefits, such as reduced fees and access to unique bonuses.

NEW YORK, April 10 (Reuters) - Wall Street is reaching for some unusual yardsticks to price Elon Musk's SpaceX. At least one of SpaceX's large institutional investors is privately benchmarking the rocket and satellite company not against aerospace rivals like Boeing or telecom giants like AT&T, but against market darling Palantir Technologies and AI infrastructure plays like GE Vernova and Vertiv - in a bid to justify a $1.75 trillion valuation ahead of what could be the largest IPO in history. The framework, described to Reuters for the first time by a source familiar with the company's thinking, illustrates the unusual challenge of pricing a company with no obvious public peers - and the lengths to which Wall Street is going to rationalize a premium valuation. SpaceX has confidentially filed for a U.S. IPO, Reuters reported last week. The company is scheduled to hold an analyst day on April 21, Reuters previously reported. At a potential valuation of $1.75 trillion, SpaceX looks expensive by many traditional measures, including comparisons to the earnings and revenue multiples at firms often cited as reference points for parts of its business. In space that means Boeing and Lockheed Martin, whose United Launch Alliance joint venture competes with SpaceX in launch services. In internet access, the peers would be AT&T and Verizon. But financial backers of the firm, on track to raise $75 billion in an IPO this year, contend that comparisons to established firms in legacy businesses miss the point of SpaceX and other Musk companies - to take advantage of the emergence of long-term, "secular" economic shifts at a time when few competitors are equipped to do so. Musk's companies have historically commanded rich multiples in part because investors are betting on him personally - Tesla being the clearest example -- and SpaceX investors expect that dynamic to carry over into any public offering. It's "pretty darn exciting" to sell into "the largest total addressable market in human history" - a potential $370 billion in space business, SpaceX CFO Bret Johnsen told IPO bankers on a conference call this week, according to two people familiar with the matter. He tabbed the potential market for the firm's Starlink internet service at $1.6 trillion, the people said. Finding the right comparables for SpaceX lies at the center of a fierce debate over the pricing of the massive IPO, as bankers and investors grapple with how to value the company despite few, if any, closely comparable public peers. It is common for investors and bankers to sort for comparables by sector, using the longstanding assumption that industry is a good proxy for financial opportunity and risk. But many investors contend that comparable companies do not need to operate in the same industry - because, in this view, what matters are a firm's potential cash flows, growth profiles and risk characteristics. This approach holds that a better comparison for SpaceX comes from companies selling into the AI data-center buildout, which have famously been rewarded with rising shares and high multiples. For smaller funds, the calculus is different, said Jay Bala, portfolio manager at Toronto-based AIP, which manages roughly $100 million in assets, a large portion concentrated in SpaceX. "I'm piggybacking on the largest funds in the world. A huge amount of due diligence has already been done. I'm not going to second-guess some of the biggest investors on the planet," he said. He acknowledged it is difficult to obtain detailed financial information about SpaceX: "You can only get so much. It's hard to get numbers sometimes." STARLINK VERSUS LEGACY TELECOMS For Starlink -- or what SpaceX calls its "connectivity" business -- the reflexive benchmarks are legacy telecom firms, but some investors argue those comparisons are skewed by aging fixed infrastructure, saturated domestic markets and years of modest growth. "I wouldn't look at a legacy AT&T and Verizon as being very relevant to the economic model for Starlink, even though they're both in the business of giving you communication," a senior executive at one of SpaceX's large institutional investors told Reuters, speaking on condition of anonymity to discuss confidential internal work. Instead, SpaceX investors point to Palantir for its secular growth, high return on invested capital, good margins and asset-light composition -- qualities that fans say justify the high multiples the stock commands and suggest greater opportunities down the road. Palantir is well known as one of the priciest stocks in the market, recently trading at 43 times expected revenue and 75 times earnings. Skeptics say those levels are likely unsustainable, but SpaceX fans contend that the figures show that premium valuations are attainable if backed by outstanding financial performance. That said, at $1.75 trillion, even Palantir would be cheaper on some of these measures than SpaceX, which would trade at 110 times 2025 revenue estimates, according to a PitchBook calculation. "Investors should size positions with the understanding that they are paying a platform premium today for infrastructure-monopoly economics tomorrow," PitchBook analyst Franco Granda said in a note last month. ROCKET MANUFACTURING COMPARISONS For the rocket manufacturing side of the business, SpaceX investors contend that the firm's accomplishments - for instance, it has built a reusable launch system, driven down unit costs dramatically and expanded into a commercial market where demand for launch capacity continues to grow -- demand valuations far above those prevailing at Lockheed, which traded recently at around 20 times next year's expected earnings. Boeing's current high multiples mostly reflect its state as a turnaround story. Instead, they turn to industrial names such as GE Vernova and Vertiv - companies whose stocks have soared on the back of AI data-center spending - arguing that SpaceX's launch operations deserve a similar re-rating to the "picks and shovels" of the data-center age. Even these preferred comps do not look a lot like SpaceX, however. GE Vernova was recently trading at around 30 times expected cash flow and four times last year's revenue. Vertiv, which sells power and cooling equipment for data centers, traded recently at 19 times expected operating profit and 6 times last year's sales. MESSY PRICING AND RATIONALIZATIONS Bankers and investors say SpaceX is difficult to price because of the company's unique space operations and AI business, which is particularly difficult to value at an early stage. "Pricing is always going to be messy here," said Aswath Damodaran, a valuation expert and finance professor at New York University's Stern School of Business. "Nobody else has that capacity to launch satellites in numbers and at the price that they can do -- that's their big advantage." He adds that much of the current pricing reflects investors justifying their decision to purchase the shares rather than relying on traditional metrics. "They're hoping there's enough mood and momentum behind SpaceX, and when it goes public, the mood and momentum will take the stock up." "They've made the decision already that SpaceX is a great buy," Damodaran said. "Now they're looking for some way that they can justify that, and this pricing sounds like that exposed rationalization." (Reporting by Echo Wang in New York; Additional reporting by Joey Roulette in Houston; Editing by Colin Barr and Matthew Lewis)
Anthropic's (ANTH.PVT) new Claude Mythos have raised alarm bells this week as the AI model sparks concerns from its own developer that it could enable hackers. Morning Brief Host Julie Hyman and Yahoo Finance Head of News Myles Udland react to Bloomberg reporting that US Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell met with banking CEOs to warn them of the possible cyber threat to financial institutions that this Claude version presents.
Anthropic (ANTH.PVT) and CoreWeave (CRWV) announced they're entering into a multiyear agreement under which the AI cloud company will provide Anthropic with computing capabilities to build and power its AI models. CoreWeave says Anthropic will use its cloud services to run workloads at "production scale," and that it will initially focus on a phased rollout with the option to expand the agreement in the future. The companies didn't provide the terms of the deal, including pricing or how many gigawatts of chips it will cover. The announcement comes after Reuters reported that Anthropic is also considering designing its own semiconductors to contend with the AI chip crunch. Earlier this week, Anthropic also said it's working with Broadcom (AVGO) and Google to use 3.5 gigawatts of Google's Broadcom-made (AVGO) Tensor Processing Units. AI companies across the board are working to secure as many semiconductors as possible as they build out their AI services. Anthropic rival OpenAI (OPAI.PVT) is also developing its own chips. In October, the company entered into a partnership with Broadcom to develop upwards of 10 gigawatts of custom semiconductors for its various AI services. That's in addition to deals it has with both Nvidia (NVDA) and AMD (AMD). And last month, Meta (META) revealed four new custom AI processors, including its MTIA 400, which the company says delivers raw performance rivaling some of the top chips on the market. The social media giant, like Anthropic, also entered into a deal with CoreWeave that will see CoreWeave power Meta's AI services through December 2032. CoreWeave says that the capacity will be spread out among a number of its data center locations and include some of the first deployments of Nvidia's (NVDA) upcoming Vera Rubin system. In January, Microsoft (MSFT) also revealed a new custom AI chip that will serve as an alternative to Nvidia and AMD's offerings. Amazon (AMZN) and Google (GOOG, GOOGL) have been using their own chips for years. Unlike Microsoft, however, those companies are looking to sell or rent their chips to third-party customers. In February, The Information reported that Meta inked a deal with Google to rent that company's TPUs and is exploring purchasing them for its own data centers. Amazon CEO Andy Jassy also pitched the idea of selling the company's chips in large servers to third-party customers in his latest annual shareholder newsletter on Thursday. Email Daniel Howley at [email protected]. Follow him on Twitter at @DanielHowley. For the latest earnings reports and analysis, earnings whispers and expectations, and company earnings news, click here
Accurate, fast, and interpretable fault identification on electrical transmission lines is essential for maintaining power system stability and reducing outage durations. In this study, we propose a hybrid 1D convolutional neural network-Decision Tree (1D-CNN-DT) for transmission line fault detection and classification, in which the 1D-CNN acts solely as a feature extractor. During this process, the Decision Tree performs the final, interpretable classification. By preserving decision transparency and achieving high diagnostic accuracy, the proposed architecture differs from conventional end-to-end deep learning models. In MATLAB/Simulink, four distinct transmission line scenarios were simulated to evaluate the framework under realistic operating conditions. These scenarios included short lines, long distributed lines, source-end faults, and load-end faults. We developed a large, balanced dataset of three-phase voltage and current measurements per unit, covering standard operation and ten types of faults. According to the proposed model, fault detection accuracies were 99.89%, 99.94%, 99.94%, and 99.97%, and fault classification accuracies were 99.93%, 99.58%, 99.44%, and 99.86% across the four transmission line configurations. In addition to its high accuracy, the hybrid framework demonstrated significantly lower computational complexity and shorter training and inference times than conventional ANN- and LSTM-based approaches, without requiring manual signal transformations. The SHapley Additive Explanations (SHAP) are integrated to enhance trust and practical usability, providing both global and instance-level interpretability that reveals how voltages and currents contribute to individual faults. According to the results, a hybrid architecture that combines deep learning and explainable AI offers reliable, efficient, and transparent real-time transmission line monitoring and protection.

US officials have summoned top banking executives to Washington amid growing concerns over cybersecurity risks linked to the new AI model developed by Anthropic. The meeting, reportedly led by Treasury Secretary Scott Bessent, comes shortly after the unveiling of the company's latest system, Claude Mythos. Among those attending is Jerome Powell, alongside executives from major financial institutions including Goldman Sachs, Bank of America and Citigroup. The gathering focuses on the potential risks posed by advanced AI tools capable of identifying and exploiting software vulnerabilities at a level comparable to, or exceeding, human experts. Anthropic recently warned that its model had uncovered thousands of previously undetected weaknesses in widely used systems, raising fears that such technology could be misused by hackers. A leak of the model's code earlier this month intensified concerns, with the company acknowledging that the broader impact on economies and national security could be significant. In response, Anthropic has restricted access to the model to a limited group of companies, including major tech firms and infrastructure organisations. This marks the first time the company has limited a product release.

According to reports from CNBC, Federal Reserve Chair Jerome Powell and Treasury Secretary Scott Bessent met with executives from leading US banks to assess the risks associated with the Mythos artificial intelligence model developed by Anthropic. This meeting, held on the sidelines of a financial forum in Washington, reflects mounting concerns regarding the ability of such systems to facilitate sophisticated cyberattacks. Anthropic recently launched a limited version of its model, Claude Mythos Preview, specifically due to fears of potential malicious use. Authorities are seeking to anticipate the impact of these technologies on sensitive sectors such as finance, where AI is increasingly integrated into critical operations. In response to these challenges, several major corporations, including JPMorgan, Apple, Google, Microsoft, and Nvidia, are participating in initiatives such as Project Glasswing to manage these risks. This mobilization underscores the need for strengthened dialogue between public authorities and private sector players to secure the deployment of increasingly powerful AI models.

BEIJING, April 10, 2026 (GLOBE NEWSWIRE) -- UniPat AI announces benchmark results for its forecasting model, EchoZ-1. 0 after testing in sandbox and live environments on Polymarket. Prediction markets are a place where individuals can trade on the results of a future event. Third-party data, including from Dune Analytics, show diverse participant performance over time in such liquid (and competitive) markets. According to UniPat AI, EchoZ-1. 0 achieved a 63.2 % alignment rate of its outputs on questions about politics and governance during testing. For predictions based on a seven-day period or longer, the model predicted alignment 59.3 % of the time. In high-uncertainty cases that the company categorized as such, with baseline confidence scores "between 55 to 70 per cent," their reported alignment rate was 57.9 per cent. The companies said these results were obtained under specific test conditions and do not necessarily predict future performance. Five different agents were deployed autonomously to benchmark performance in real-world scenarios, all driven by the EchoZ-1. 0 model for a week. Overall, four agents produced positive returns during that time period, and one did not. These results were subject to market conditions and execution factors, UniPat AI said. The model was tested against scenarios with multiple variables, the company said, which included regulatory developments, geopolitical occurrences, on-chain governance decisions and market-related events. These scenarios were chosen to represent situations with partial or evolving information. UniPat AI has also performed a set of stress tests regarding its evaluation framework. These modifications consisted of changing scoring parameters, partially removing input data, and modifying model configurations. Under these conditions, models maintained consistent rankings within the company's testing framework, it said. UniPat AI claims it has released prediction inputs, probability estimates, timestamps and ultimate outcomes to the public for independent auditing. It consists of aligned and non-aligned predictions. Examples it cites include forecasts for equity market capitalisation, digital asset price levels and professional sports standings. Probability estimates were documented before outcome resolution in each case for validation. EchoZ-1. 0 relies on a method named "Train-on-Future," UniPat AI said, and differs from methods that mainly use historical data. It includes evaluation criteria to capture reasoning structure as well as outcome alignment. In this process, a system called Automated Rubric Search is used to extract reasoning patterns related to the observed actions. This development team consists of researchers with expertise in reinforcement learning, data synthesis, and model evaluation. The prediction markets were chosen as a testing ground because of their measurable and verifiable nature, UniPat AI said. A spokesman for the company said structured assessments of probabilities may have applications in places where there's decision-making under uncertainty. About UniPat AI UniPat AI is a research-focused artificial intelligence company working on the development of machine learning systems designed for real-world applications. The organisation describes its mission as advancing AI systems from experimental models to practical, deployable tools capable of operating in complex environments. Disclaimer: This sponsored content reflects the views of the content provider only and not those of this media platform or its publisher. It is for informational purposes and not financial, investment, or business advice. All investments carry risks, including loss of capital. Readers should do their own research and consult a qualified advisor before making decisions. Speculate only with funds that you can afford to lose.The media platform and publisher are not responsible for any inaccuracies or losses. GlobeNewswire does not endorse any content on this page. Legal Disclaimer: This article is provided on an "as-is" basis, without warranties or representations of any kind, express or implied. The media platform assumes no responsibility or liability for the accuracy, content, completeness, legality, or reliability of the information presented. Any complaints, claims, or copyright concerns related to this article should be directed to the content provider mentioned above. A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/6db3c54f-65e4-408f-b58b-f530a3cfffab

BEIJING, April 10, 2026 (GLOBE NEWSWIRE) -- UniPat AI announces benchmark results for its forecasting model, EchoZ-1. 0 after testing in sandbox and live environments on Polymarket. Prediction markets are a place where individuals can trade on the results of a future event. Third-party data, including from Dune Analytics, show diverse participant performance over time in such liquid (and competitive) markets. According to UniPat AI, EchoZ-1. 0 achieved a 63.2 % alignment rate of its outputs on questions about politics and governance during testing. For predictions based on a seven-day period or longer, the model predicted alignment 59.3 % of the time. In high-uncertainty cases that the company categorized as such, with baseline confidence scores "between 55 to 70 per cent," their reported alignment rate was 57.9 per cent. The companies said these results were obtained under specific test conditions and do not necessarily predict future performance. Five different agents were deployed autonomously to benchmark performance in real-world scenarios, all driven by the EchoZ-1. 0 model for a week. Overall, four agents produced positive returns during that time period, and one did not. These results were subject to market conditions and execution factors, UniPat AI said. Get the latest news delivered to your inbox Sign up for The Manila Times newsletters By signing up with an email address, I acknowledge that I have read and agree to the Terms of Service and Privacy Policy. The model was tested against scenarios with multiple variables, the company said, which included regulatory developments, geopolitical occurrences, on-chain governance decisions and market-related events. These scenarios were chosen to represent situations with partial or evolving information. UniPat AI has also performed a set of stress tests regarding its evaluation framework. These modifications consisted of changing scoring parameters, partially removing input data, and modifying model configurations. Under these conditions, models maintained consistent rankings within the company's testing framework, it said. Advertisement UniPat AI claims it has released prediction inputs, probability estimates, timestamps and ultimate outcomes to the public for independent auditing. It consists of aligned and non-aligned predictions. Examples it cites include forecasts for equity market capitalisation, digital asset price levels and professional sports standings. Probability estimates were documented before outcome resolution in each case for validation. EchoZ-1. 0 relies on a method named "Train-on-Future," UniPat AI said, and differs from methods that mainly use historical data. It includes evaluation criteria to capture reasoning structure as well as outcome alignment. In this process, a system called Automated Rubric Search is used to extract reasoning patterns related to the observed actions. This development team consists of researchers with expertise in reinforcement learning, data synthesis, and model evaluation. The prediction markets were chosen as a testing ground because of their measurable and verifiable nature, UniPat AI said. Advertisement A spokesman for the company said structured assessments of probabilities may have applications in places where there's decision-making under uncertainty. About UniPat AI Advertisement UniPat AI is a research-focused artificial intelligence company working on the development of machine learning systems designed for real-world applications. The organisation describes its mission as advancing AI systems from experimental models to practical, deployable tools capable of operating in complex environments. Media Contact Organization: UniPat AI Contact Person Name: Yao He Advertisement Website: https://unipat.ai/ Email: [email protected] Disclaimer: This sponsored content reflects the views of the content provider only and not those of this media platform or its publisher. It is for informational purposes and not financial, investment, or business advice. All investments carry risks, including loss of capital. Readers should do their own research and consult a qualified advisor before making decisions. Speculate only with funds that you can afford to lose.The media platform and publisher are not responsible for any inaccuracies or losses. GlobeNewswire does not endorse any content on this page. Legal Disclaimer: This article is provided on an "as-is" basis, without warranties or representations of any kind, express or implied. The media platform assumes no responsibility or liability for the accuracy, content, completeness, legality, or reliability of the information presented. Any complaints, claims, or copyright concerns related to this article should be directed to the content provider mentioned above. Advertisement A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/6db3c54f-65e4-408f-b58b-f530a3cfffab

NEW YORK -- Wall Street is reaching for some unusual yardsticks to price Elon Musk's SpaceX. At least one of SpaceX's large institutional investors is privately benchmarking the rocket and satellite company not against aerospace rivals like Boeing or telecom giants like AT&T, but against market darling Palantir Technologies and AI infrastructure plays like GE Vernova and Vertiv - in a bid to justify a $1.75 trillion valuation ahead of what could be the largest IPO in history. The framework, described to Reuters for the first time by a source familiar with the company's thinking, illustrates the unusual challenge of pricing a company with no obvious public peers - and the lengths to which Wall Street is going to rationalize a premium valuation. SpaceX has confidentially filed for a U.S. IPO, Reuters reported last week. The company is scheduled to hold an analyst day on April 21, Reuters previously reported. At a potential valuation of $1.75 trillion, SpaceX looks expensive by many traditional measures, including comparisons to the earnings and revenue multiples at firms often cited as reference points for parts of its business. In space that means Boeing and Lockheed Martin, whose United Launch Alliance joint venture competes with SpaceX in launch services. In internet access, the peers would be AT&T and Verizon. But financial backers of the firm, on track to raise $75 billion in an IPO this year, contend that comparisons to established firms in legacy businesses miss the point of SpaceX and other Musk companies - to take advantage of the emergence of long-term, "secular" economic shifts at a time when few competitors are equipped to do so. Musk's companies have historically commanded rich multiples in part because investors are betting on him personally - Tesla being the clearest example -- and SpaceX investors expect that dynamic to carry over into any public offering. It's "pretty darn exciting" to sell into "the largest total addressable market in human history" - a potential $370 billion in space business, SpaceX CFO Bret Johnsen told IPO bankers on a conference call this week, according to two people familiar with the matter. He tabbed the potential market for the firm's Starlink internet service at $1.6 trillion, the people said. SpaceX did not respond to a request for comment. Finding the right comparables for SpaceX lies at the center of a fierce debate over the pricing of the massive IPO, as bankers and investors grapple with how to value the company despite few, if any, closely comparable public peers. It is common for investors and bankers to sort for comparables by sector, using the longstanding assumption that industry is a good proxy for financial opportunity and risk. But many investors contend that comparable companies do not need to operate in the same industry - because, in this view, what matters are a firm's potential cash flows, growth profiles and risk characteristics. This approach holds that a better comparison for SpaceX comes from companies selling into the AI data-center buildout, which have famously been rewarded with rising shares and high multiples. For smaller funds, the calculus is different, said Jay Bala, portfolio manager at Toronto-based AIP, which manages roughly $100 million in assets, a large portion concentrated in SpaceX. "I'm piggybacking on the largest funds in the world. A huge amount of due diligence has already been done. I'm not going to second-guess some of the biggest investors on the planet," he said. He acknowledged it is difficult to obtain detailed financial information about SpaceX: "You can only get so much. It's hard to get numbers sometimes." For Starlink -- or what SpaceX calls its "connectivity" business -- the reflexive benchmarks are legacy telecom firms, but some investors argue those comparisons are skewed by aging fixed infrastructure, saturated domestic markets and years of modest growth. "I wouldn't look at a legacy AT&T and Verizon as being very relevant to the economic model for Starlink, even though they're both in the business of giving you communication," a senior executive at one of SpaceX's large institutional investors told Reuters, speaking on condition of anonymity to discuss confidential internal work. Instead, SpaceX investors point to Palantir for its secular growth, high return on invested capital, good margins and asset-light composition -- qualities that fans say justify the high multiples the stock commands and suggest greater opportunities down the road. Palantir is well known as one of the priciest stocks in the market, recently trading at 43 times expected revenue and 75 times earnings. Skeptics say those levels are likely unsustainable, but SpaceX fans contend that the figures show that premium valuations are attainable if backed by outstanding financial performance. That said, at $1.75 trillion, even Palantir would be cheaper on some of these measures than SpaceX, which would trade at 110 times 2025 revenue estimates, according to a PitchBook calculation. "Investors should size positions with the understanding that they are paying a platform premium today for infrastructure-monopoly economics tomorrow," PitchBook analyst Franco Granda said in a note last month. For the rocket manufacturing side of the business, SpaceX investors contend that the firm's accomplishments - for instance, it has built a reusable launch system, driven down unit costs dramatically and expanded into a commercial market where demand for launch capacity continues to grow -- demand valuations far above those prevailing at Lockheed, which traded recently at around 20 times next year's expected earnings. Boeing's current high multiples mostly reflect its state as a turnaround story. Instead, they turn to industrial names such as GE Vernova and Vertiv - companies whose stocks have soared on the back of AI data-center spending - arguing that SpaceX's launch operations deserve a similar re-rating to the "picks and shovels" of the data-center age. Even these preferred comps do not look a lot like SpaceX, however. GE Vernova was recently trading at around 30 times expected cash flow and four times last year's revenue. Vertiv, which sells power and cooling equipment for data centers, traded recently at 19 times expected operating profit and 6 times last year's sales. Bankers and investors say SpaceX is difficult to price because of the company's unique space operations and AI business, which is particularly difficult to value at an early stage. "Pricing is always going to be messy here," said Aswath Damodaran, a valuation expert and finance professor at New York University's Stern School of Business. "Nobody else has that capacity to launch satellites in numbers and at the price that they can do -- that's their big advantage." He adds that much of the current pricing reflects investors justifying their decision to purchase the shares rather than relying on traditional metrics. "They're hoping there's enough mood and momentum behind SpaceX, and when it goes public, the mood and momentum will take the stock up." "They've made the decision already that SpaceX is a great buy," Damodaran said. "Now they're looking for some way that they can justify that, and this pricing sounds like that exposed rationalization."

Anthropic loses appeals court bid to temporarily block Pentagon blacklisting CoreWeave declined to disclose the value of the Anthropic deal. The cloud provider told CNBC that of the top ten foundational AI models, Elon Musk's xAI is the one company they do not yet work with. According to the announcement, the Anthropic deal will focus initially on a "phased infrastructure roll-out," with the potential to expand. CoreWeave operates data centers with hundreds of thousands of the Nvidia graphics processing units that power AI models. While hyperscalers are building out their own data centers, major companies including Microsoft, OpenAI and Google also use infrastructure from CoreWeave to meet the soaring demand. Anthropic's Claude and its AI-powered coding assistant Claude Code have exploded in popularity this year. Anthropic said Monday that its annual run rate topped $30 billion, up from $9 billion at the end of 2025.

Cryptocurrency exchange Bitget has launched IPO Prime, a new platform offering tokenized exposure to pre-initial public offering assets, starting with a product tied to SpaceX. The first listing, preSPAX, is a Republic-issued token designed to track the company's post-IPO performance. The product does not provide direct ownership of SpaceX shares, and the company has not endorsed or approved the offering. Instead, it gives retail users synthetic exposure to potential valuation changes following a future public listing. The launch follows reports that SpaceX has confidentially filed for an IPO, with valuation expectations ranging between $1.75 trillion and over $2 trillion, though no official confirmation has been made. Bitget plans to distribute the tokens through a subscription-based model, with allocations determined by a tiered system. The subscription window will run from April 18 to April 21, with distribution and secondary market trading expected to begin on April 21. The introduction of preSPAX reflects a broader trend among crypto platforms to bring traditionally restricted financial products onto blockchain infrastructure. Pre-IPO investing has historically been limited to institutional investors and private market participants, with limited access for retail users. Tokenization changes that distribution model by creating tradable instruments that mirror the economic exposure of private assets. This allows exchanges to offer 24/7 access and integrate these products into existing crypto trading environments. "Pre-IPO exposure used to be limited to small circles, but tokenization has changed that, providing access to traditional assets that were typically out of reach. preSPAX is our first offering and we will be bringing more such opportunities to our users this year." Crypto-native platforms such as PreStocks, Orderbook, and Republic have already introduced similar offerings, while traditional firms including Nasdaq Private Market, Forge Global, and EquityZen continue to operate in parallel with more structured access models. Bitget frames IPO Prime as part of a broader push to integrate traditional financial assets into crypto-native platforms. The goal is to create a unified trading environment where users can access digital assets, equities, and derivatives within a single interface. This approach mirrors a wider industry trend. Bitpanda has expanded its offering to include around 10,000 stocks and ETFs, while Kraken introduced access to 11,000 US-listed equities with commission-free trading. Coinbase has also moved into stock trading, repositioning its platform toward a multi-asset model. These developments point to a convergence between crypto exchanges and traditional brokerages, as platforms compete to capture user activity across asset classes rather than within a single market segment. Despite expanding access, tokenized pre-IPO offerings remain structurally different from direct equity investment. Investors do not receive voting rights, dividends, or legal claims on the underlying company, and pricing may diverge from eventual IPO valuations. Regulatory considerations also remain unresolved. Products that replicate equity exposure without transferring ownership may face scrutiny across jurisdictions, particularly as platforms scale distribution to retail users. At the same time, liquidity in secondary markets will play a central role in determining how effectively these instruments track underlying assets. Without deep and consistent trading activity, pricing inefficiencies may persist. As more exchanges introduce similar products, competition is likely to focus on access, liquidity, and execution quality rather than the novelty of tokenization itself.

CoreWeave (CRWV) stock rose on Friday after the provider of cloud computing services announced a multiyear deal with artificial intelligence system maker Anthropic. The Anthropic agreement follows an AI cloud infrastructure deal CoreWeave announced on Thursday with Meta Platforms (META). CoreWeave's other customers include Microsoft (MSFT). It is also ramping up AI data center capacity for OpenAI, a rival of...

Coachella 2026 Influencers Axed From Brand Trips ... Fans Complain of Airbnb, Resellers Jacking Up Prices Everyone always wants an in to Coachella, but this year some last-minute changes ahead of the opening weekend are causing chaos ... 'cause some influencers claim they're being uninvited just a day or two before the big festival opens, and regular folks are crying foul at escalating costs. Entertainment and lifestyle influencer Tiahra Nelson -- who boasts 4.7 million followers on the app -- hopped on TikTok Thursday and said she was all ready and even got her hair done for the big show in Indio, California ... but her ticket was taken away from her. Yazmin Marziali, who has more than 280,000 fans on TikTok, said in an 8-minute rant that her brand trip was canceled 2 days before she was supposed to get to the California desert. That's just 2 examples of heartbroken creators who say their plans and deals were axed ... there are plenty more. Neither creator revealed a brand behind their cancelations ... but some suspect fashion brand Edikted is behind a bit of the last-minute disarray. TMZ has reached out to the company for comment ... so far, no word back. Concertgoers who booked Airbnbs, meanwhile, are complaining online their hosts are canceling their reservations for the weekend ... with some allegedly relisting the pads for higher prices. Other renters say their stays are being canceled for no reason, and at this point ... all the other options in the area are unattainable with skyrocketed prices because the festival is about to kick off. Not to mention, hotels are booked. This is apparently an ongoing issue users are reporting across several social media platforms. And to pile on to the problems, more fans planning to attend Coachella are claiming resale sites such as Stubhub are allowing ticketholders to pull the same stunt -- sellers not delivering their tickets, then relisting them at absurd prices. TMZ has reached out to Airbnb and Stubhub for comment as well ... so far, no word back. Coachella has long been a sought-after event that requires fans to shell out serious change to attend -- spending thousands of dollars alone for general admission tickets paired with the most basic camping options.

Investing.com - Software stocks fell today following Anthropic's announcement of Claude Managed Agents, a pre-built, configurable agent harness for long-running tasks and asynchronous work, according to Piper Sandler analyst Billy Fitzsimmons. The announcement intensifies concerns that Anthropic's agents will compete directly with those of incumbent software companies. Fitzsimmons said the firm expects continued software pessimism through at least year-end and has downgraded names in the sector. The analyst noted that if Anthropic lowers barriers to building agents on its platform, it contributes to seat deflation concerns and creates competition for incumbents' own AI agents. Piper Sandler recommends hyperscalers monetizing AI compute, including Microsoft (NASDAQ:MSFT) and Oracle (NYSE:ORCL), which directly monetize frontier model growth through their Azure and OCI lines. The firm prefers MSFT, which trades at a CY27 P/E of 20x estimates, as its capex is funded with cash flow rather than debt or equity. The stock currently trades at a P/E of 23.24 with a moderate debt-to-equity ratio of 0.32, generating $77.4 billion in levered free cash flow over the last twelve months. Despite a 27% decline over the past six months, InvestingPro analysis suggests the stock is undervalued, with subscribers accessing detailed Fair Value calculations and 10 additional ProTips for the $2.78 trillion tech giant on the platform's comprehensive most undervalued stocks list. The firm also favors Titan Machinery (NASDAQ:TTAN), citing Bureau of Labor Statistics estimates showing strong employment growth in the company's customer base, with electricians growing at a 15.4% CAGR and plumbing, heating, and AC contractors growing at a 10.1% CAGR from 2024-2034. TTAN trades at 43x CY27 EV/FCF. Piper Sandler highlighted Global-e Online (NASDAQ:GLBE), which is tied to ecommerce GMV volumes rather than software seats and trades at FY27 14x EV/FCF ex-SBC while guiding to 29% revenue growth this year. The Middle East represents less than 5% of revenue, though the war with Iran has impacted GMV near-term, particularly in the UAE. In other recent news, Microsoft Corp. achieved its ambitious sales targets for the Copilot AI tool in the fiscal third quarter by shifting its strategy to focus on paid subscriptions, according to company executives. The company is also working on developing advanced AI models by 2027, aiming to create in-house alternatives to tools from OpenAI and Anthropic. In a strategic partnership, Microsoft has teamed up with Chevron and Engine No. 1 to develop natural gas-powered plants in Texas, which will supply electricity directly to Microsoft's AI data centers. Furthermore, UBS has reiterated a Buy rating on Chevron following this partnership with Microsoft, highlighting the potential benefits of the collaboration. Piper Sandler has also reiterated an Overweight stock rating on Microsoft, noting the expansion of its Researcher capabilities with new features like Critique and Council. These developments reflect Microsoft's ongoing efforts to enhance its AI capabilities and infrastructure. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

This partnership highlights CoreWeave's growing role in the AI infrastructure space, as it is expanding its cloud platform to meet increasing demand. Anthropic Multi-Year Deal As per the deal, Anthropic will utilize CoreWeave's cloud platform to run workloads at production scale, benefiting from its high performance and reliability. The partnership between Anthropic and CoreWeave will start with a staged deployment of infrastructure, with further expansion expected as the collaboration progresses. The multi-year deal will begin bringing compute capacity online later this year. With this collaboration, CoreWeave expects to boost its position in the rapidly evolving and expanding AI market. Upsizes Convertible Notes, Prices Parallel Debt Deal CoreWeave priced an upsized $3.5 billion offering of 1.75% convertible senior notes due 2032, raising the deal size from $3.0 billion, with closing expected April 14, 2026. The notes carry a 1.75% coupon, a conversion price of about $119.60 per share (≈30% premium), and flexible settlement in cash or stock. Proceeds will largely fund general corporate purposes, with about $430.5 million allocated to capped call transactions to limit dilution. Separately, CoreWeave also priced $1.75 billion of 9.750% senior notes due 2031, with proceeds partly aimed at debt repayment. Lands Massive Meta DealCRWV at $95.30; 18.8% Above 20-Day At $95.30, the stock is trading 18.8% above its 20-day simple moving average (SMA) and 13.3% above its 50-day SMA, suggesting strong short-term momentum. However, it is trading 6% below its 200-day SMA, indicating some long-term weakness that traders should monitor. The relative strength index (RSI) is at 58.33, which is neutral, suggesting that the stock is not currently overbought or oversold. This positioning indicates a balanced market sentiment, with potential for further movement either way. Key Resistance: $100.50 -- A significant level where upward momentum may stall. Key Support: $85.00 -- A critical level that could indicate buyer interest if tested. The stock has shown a remarkable 12-month performance of 118.01%, reflecting strong growth over the past year. Currently, it is positioned well above its 52-week low of $33.52, indicating robust demand and investor confidence. CRWV Next Update May 13, 2026; Rev $1.96B CoreWeave is slated to provide its next financial update on May 13, 2026 (estimated). EPS Estimate: -$1.22 (Down from 60 cents) Revenue Estimate: $1.96 billion (Up from $981.63 million) Analyst Consensus & Recent Actions: The stock carries a Buy Rating with an average price target of $123.04. Recent analyst moves include: Evercore ISI Group: Outperform (Lowers Target to $120.00) (March 9) Oppenheimer: Initiated with Outperform (Target $140.00) (March 6) Bernstein: Initiated with Underperform (Target $56.00) (March 5) CRWV ETF Weights: IPO 11.11%, IDGT 4.18% Significance: Because CRWV carries such a heavy weight in these funds, any significant inflows or outflows for these ETFs will likely force automatic buying or selling of the stock. CRWV Price Action: CoreWeave shares were up 3.97% at $95.65 at the time of publication on Friday, according to Benzinga Pro data. Photo by JackPress via Shutterstock Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
