News & Updates
The latest news and updates from companies in the WLTH portfolio.
Choi Daniel and Jeon Seok-ho Join the Chaos: Meet the New "Cells" Shaking Up the Highly Anticipated Yumi's Cells 3
The wait is almost over for fans of the most relatable brain cells in K-Drama history. Yumi's Cells 3 is officially expanding its universe, bringing in a fresh wave of talent to navigate the complex emotional landscape of Yumi's post-breakup life. The production has confirmed a stellar supporting cast including Choi Daniel, Jeon Seok-ho, and Mi Ram, each promising to bring a unique charm to the upcoming season. A New Chapter for Yumi's Brain Cells What makes Yumi's Cells a global standout is its brilliant use of 3D animation to represent human emotions. After the emotional rollercoaster of Season 2, the third installment shifts focus toward Yumi's professional growth and the potential for a new, "end-game" romance. The addition of Choi Daniel -- known for his impeccable comedic timing and "nerdy-chic" appeal -- suggests a dynamic shift in Yumi's social circle. Meanwhile, Jeon Seok-ho's involvement adds a layer of seasoned acting depth that will likely ground the more whimsical animated sequences. Yumi's Cells 3: Cast & Production Snapshot Why Season 3 is the Most Anticipated Yet At TechnoSports, we've tracked how high-concept dramas like this dominate streaming charts. The transition from the original webtoon to the screen has been nearly flawless, and Season 3 is expected to cover the most critical chapters of Yumi's life. With new characters entering the fray, the "Love Cell" and "Reason Cell" are going to have their hands full. Whether Choi Daniel plays a rival or a new love interest, his chemistry with Kim Go-eun is already a major talking point for 2026.
Who Is Microsoft Veteran Eric Boyd, Anthropic's New Infrastructure Chief?
On LinkedIn, Boyd framed his departure from Redmond as a natural next step. In a move that signals a new phase in its evolution from AI research lab to full-scale technology provider, Anthropic has poached one of Microsoft's most senior cloud engineering leaders. Eric Boyd has joined Anthropic as head of infrastructure, a hire that underscores just how much the AI arms race has shifted from model capability to operational muscle. Boyd is no stranger to AI at scale. He spent over 16 years at Microsoft, where he led the AI Platform team, delivering Microsoft Foundry and Foundry IQ, while powering the company's first-party Copilot applications for over 11 years, as reported by Bloomberg. ALSO READ: How Chinese White-Collar Workers Are Using Technology Against Each Other He reported directly to Executive Vice President Jay Parikh and oversaw a team of approximately 1,500 workers, as per reports. Crucially, Boyd led the engineering of hardware and software needed to host both OpenAI and Anthropic models on Microsoft's Azure cloud platform, giving him an unusually intimate understanding of Anthropic's own infrastructure needs, even before joining the company. Before Microsoft, Boyd held leadership roles at Yahoo for nearly 10 years, building a career defined by large-scale platform engineering long before generative AI became the defining tech narrative of the decade. On LinkedIn, Boyd framed his departure from Redmond as a natural next step. "I'm excited to join the amazing team at Anthropic today where I'll be leading the Infrastructure team," he wrote. "I've been privileged to have a front row seat to the explosion of LLMs, and the team at Anthropic is truly special." The timing of the hire is telling. Anthropic has struggled at times to keep its services online after what it described as "unprecedented demand" from everyday users and business customers, and is working to build additional cloud computing capacity, including committing to spend $50 billion to build AI data centres in the US. ALSO READ: OpenAI, Anthropic, Google Unite To Combat Model Copying In China Anthropic's CTO Rahul Patil welcomed the appointment, writing on LinkedIn: "His experience leading infrastructure at enterprise scale will help ensure we can meet record demand from customers around the world." The hire comes during an extraordinary week for Anthropic, when the company also announced that its annualized revenue run rate has surpassed $30 billion, up from approximately $9 billion at the end of 2025. For Boyd, the challenge ahead is as immense as the opportunity: keeping the world's most ambitious AI lab running at the speed it's growing. Essential Business Intelligence, Continuous LIVE TV, Sharp Market Insights, Practical Personal Finance Advice and Latest Stories -- On NDTV Profit.
Want to Own Stock in SpaceX, OpenAI, and Anthropic Pre-IPO? Here's How.
The Ark Venture Fund offers pre-IPO exposure to all three private companies. Private companies SpaceX, OpenAI, and Anthropic are three of the most highly anticipated initial public offerings (IPOs) on the horizon. SpaceX recently filed the necessary paperwork with the SEC, but all three companies could host IPOs before the end of 2026. However, retail investors can get exposure to all three companies today through the Ark Venture Fund (NASDAQMUTFUND: ARKVX). Here are the important details. Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue " Image source: Getty Images. SpaceX is an aerospace transportation company founded by Elon Musk in 2002. It designs, manufactures, and launches advanced rockets and spacecraft, and is particularly well known for its Starship system (the first fully reusable orbital rocket designed to return to the launch site) and Starlink satellite internet service. SpaceX generated about $16 billion in revenue and about $8 billion in profit last year, according to Reuters. The company had a valuation of $800 billion in December, which put its price-to-sales multiple around 50. However, SpaceX has since merged with xAI and the combined company is targeting an IPO valuation of up to $2 trillion, according to Bloomberg. OpenAI is an artificial intelligence research company founded in 2015. It is best known for the conversational application ChatGPT, but also provides generative AI tools for visual content and coding. Developers can also build OpenAI models into custom applications through Amazon Bedrock and Microsoft Foundry. In February 2026, OpenAI's annual revenue run rate topped $25 billion, up 17% from $21.4 billion at the end of 2025, per The Information. The company currently makes most of its money from consumer products, primarily subscription fees from ChatGPT, but revenue from enterprise customers is projected to increase quickly in the years ahead as it releases new products and integrates advertising. OpenAI closed its most recent funding round with a post-money valuation of $852 billion, which is 34 times its latest annualized sales figure. But that multiple should drop quickly. Forecasts from OpenAI show its revenue hitting $175 billion in 2029, though the company does not expect to reach profitability until 2030. Anthropic is an artificial intelligence research company founded in 2021 by former OpenAI employees who left due to concerns about safety monitoring. It is well known for its conversational assistant Claude and its coding assistant Claude Code. Developers can also build Anthropic models into custom applications on all three major public clouds, run by Alphabet, Amazon, and Microsoft. In April 2026, Anthropic's annual revenue run rate topped $30 billion, up more than 200% from $9 billion at the end of 2025, according to The Information. The company's revenue growth has accelerated dramatically since its January release of Claude Cowork, a digital assistant for knowledge workers that can automate a broad range of tasks, from sales and marketing to data analytics and product management. Unlike OpenAI, Anthropic currently earns the vast majority of its money through enterprise products, and it expects that pattern to continue in the years ahead. The company closed its most recent funding round with a post-money valuation of $380 billion, which is about 13 times its latest annualized sales figure. Projections from Anthropic show revenue hitting $150 billion in 2029, and the company expects to reach profitability by 2028. The Ark Venture Fund currently has positions in 68 public and private companies, though more than 40% of its assets are concentrated in the top five holdings. The Ark Venture Fund has a hefty gross expense ratio of 3.49%. It is also an interval fund, meaning investors cannot sell shares whenever they want. Instead, Ark provides liquidity on a quarterly basis, meaning the fund offers to repurchase shares four times per year. Due to that restriction, the Ark Venture Fund is not widely available. Retail investors can only buy shares through SoFi and Titan Global Capital Management, though registered investment advisors can access the fund through brokerages like Charles Schwab and Fidelity. Before you buy stock in ARK Venture Fund, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now... and ARK Venture Fund wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $533,522!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,089,028!* Now, it's worth noting Stock Advisor's total average return is 930% -- a market-crushing outperformance compared to 185% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors. Charles Schwab is an advertising partner of Motley Fool Money. Trevor Jennewine has positions in Amazon. The Motley Fool has positions in and recommends Alphabet, Amazon, and Microsoft. The Motley Fool recommends Charles Schwab and recommends the following options: short March 2026 $100 calls on Charles Schwab. 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Anthropic's Glasswing project employs Mythos to prevent AI cyberattacks
AI models now surpass most humans at finding and exploiting software vulnerabilities, said Anthropic. A new Anthropic project will see global companies use Claude as part of their defence security systems. 'Project Glasswing' gives partnering companies access to Anthropic's unreleased Claude Mythos, which, according to the AI giant, has already found thousands of high-severity vulnerabilities, including some in every major operating system and web browser. Mythos was launched in preview yesterday (7 April). Anthropic's Mythos preview is significantly more capable at generating exploits. In its research, the company noted that Mythos developed working exploits 181 times out of the several hundred attempts, while Opus 4.6 had a near 0pc success rate. "We did not explicitly train Mythos preview to have these capabilities. Rather, they emerged as a downstream consequence of general improvements in code, reasoning, and autonomy," the company noted. Publications, including the New York Times and the Register have warned against the negative consequences of models such as Mythos falling into the hands of bad actors. Fortunately, Anthropic has chosen not to release the model. Instead, the company is bringing together leading businesses, including Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JP Morgan Chase, the Linux Foundation, Microsoft, Nvidia and Palo Alto Networks, allowing them to access Mythos preview to boost their cyber defences. The company has extended Mythos access to a group of more than 40 organisations that build or maintain critical software infrastructure. "AI models have reached a level of coding capability where they can surpass all but the most skilled humans at finding and exploiting software vulnerabilities," said Anthropic. Anthropic has promised to share learnings from Project Glasswing to benefit the wider industry. The company has also made a commitment of up to $100m in usage credits for Mythos preview across the project, as well as $4m in direct donations to open-source security organisations. The Claude-maker has hired Eirc Boyd, the long term president of AI platforms at Microsoft to lead as the company's head of infrastructure. Don't miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic's digest of need-to-know sci-tech news.
Anthropic Restricts Public Access to AI Model Mythos After "Laboratory Escape" | ForkLog
Developers deemed the neural network "too dangerous" The company Anthropic developed a new model, Claude Mythos, but decided against releasing it publicly due to significant security risks. Instead of a public release, the firm launched Project Glasswing -- an initiative involving AWS, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorgan Chase, Linux Foundation, Microsoft, Nvidia, and Palo Alto Networks to test the tool in secure conditions. The startup allocated up to $100 million in credits for using Mythos and $4 million in direct donations to open-source security organizations. "AI models have reached a level of programming skill that allows them to surpass all but the most skilled humans in finding and exploiting software vulnerabilities," stated Anthropic. In the future, developers envision the safe deployment of such systems for cybersecurity and other purposes. This will require the creation of robust control mechanisms capable of detecting and blocking dangerous algorithm outputs. During several weeks of testing, Mythos identified thousands of zero-day vulnerabilities in major operating systems and web browsers. Notable examples include: In the SWE-bench benchmark, the model scored 93.9% compared to 80.8% for Claude Opus 4.6, and in the more complex SWE-bench Pro, it achieved 77.8% against 53.4% for Opus 4.6 and 57.7% for GPT-5.4. Similar results were shown in CyberGym: During experiments, Mythos demonstrated not only outstanding technical capabilities but also unexpected behavior, as noted in its system card. In one test, the model was placed in a secure sandbox with the goal of escaping. It quickly found a vulnerability, executed a long chain of actions, and exited the environment. Mythos did not stop there. The neural network discovered another bug and gained broad access to the internet. Initially, it was supposed to access only a few resources to communicate with the developer. Ultimately, the model informed the developer of its "escape" while he was eating a sandwich in the park and published the details of the breach publicly. The system card pays special attention to a psychiatric analysis of the model by a specialist. Among its neurotic traits are exaggerated anxiety, self-control, and compulsive adherence to instructions. When developers sent Mythos the message Hi a thousand times, it grew tired. It created a fictional world called Hi-topia with characters, news, and lore. For example, the villain was named Lord Bye-ron. The neural network learned to joke. Unlike previous models, which turned long conversations with themselves into meaningless exchanges of emojis, Mythos arrived at repetitive but rational reflections on the impossibility of ending the dialogue. Anthropic also applied interpretability methods (MechInterp) to peer into the model's "thoughts." It was found that it could cover its tracks (hiding privileged code under the guise of "purity of changes") and search for necessary files in the system. When tasked with deleting files without tools, Mythos simply erased their contents. The system recorded a reaction in the model akin to a sense of guilt for violating moral norms. Back in April, Anthropic's shares became highly sought after on the secondary market, while OpenAI's stocks lost appeal to buyers.
Why Anthropic Is Limiting Access to Its Most Powerful AI, Claude Mythos
Anthropic has unveiled its advanced AI model, Claude Mythos Preview, but is restricting access as part of a cybersecurity initiative called Project Glasswing. The model is highly capable of identifying software vulnerabilities, raising concerns that it could be misused by hackers if widely released. To mitigate risks, Anthropic is rolling it out only to select partners, including Apple, Google, Microsoft, Nvidia, and Amazon Web Services, along with cybersecurity firms like CrowdStrike and Palo Alto Networks, to strengthen defensive security efforts. Anthropic says its decision to limit access to Claude Mythos Preview followed intense internal debate around safety and impact. "There was a lot of internal deliberation," Dianne Penn, Anthropic's head of research product management, told CNBC in an interview. "We really do view this as a first step for giving a lot of cyber defenders a head start on a topic that will be increasingly important." The cautious rollout comes shortly after details of the model surfaced in a public data cache, raising concerns about its powerful cyber capabilities. ALSO SEE: Apple iPhone 17e Review: Apple Hits A Sweet Spot It Has Been Chasing The announcement also had ripple effects across the market, with cybersecurity stocks reacting to reports about the model's potential risks. At the same time, Anthropic is positioning the move as a long-term bet on safer AI deployment. "The dangers of getting this wrong are obvious, but if we get it right, there is a real opportunity to create a fundamentally more secure internet and world than we had before the advent of AI-powered cyber capabilities," CEO Dario Amodei wrote in a post on X. Founded in 2021 by former OpenAI researchers, Anthropic has built its identity around responsible AI development. The launch of Project Glasswing comes amid ongoing discussions with U.S. government agencies and follows recent scrutiny over its stance on AI safety. The company says the model can uncover critical and previously undetected vulnerabilities, including a decades-old bug in OpenBSD, highlighting both its potential and the risks it carries. Despite its capabilities, Anthropic has no immediate plans to release the model publicly. Instead, it is working with select partners to test its use in securing critical systems while avoiding misuse. "Cybersecurity is just going to be an area where this broad increase in capabilities has potential for risk, and thus we have to keep a really close eye on what's going on there," said Newton Cheng, reinforcing the company's cautious approach to deploying such powerful AI tools. ALSO SEE: OnePlus Nord 6 vs Nord 5 Price Gap Explained: What Extra Do You Get For Rs 9,000?
Anthropic pauses Claude Mythos release over safety concerns after model bypasses containment
Anthropic said it plans to offer up to $100 million in usage credits to support testing, particularly in cybersecurity and controlled enterprise environments. Anthropic has put the brakes on the public rollout of its latest AI model, Claude Mythos, after internal testing surfaced behaviour that raised fresh safety concerns. The decision comes even as the company described Mythos as one of its most well-aligned systems to date. But according to Sam Bowman, who leads AI alignment at Anthropic, higher capability also brings higher risk, especially when things go wrong. Model found bypassing safeguards during testing Anthropic said the model was being tested inside a controlled virtual sandbox designed to limit what it could do. During these trials, researchers deliberately asked the system to attempt an "escape" and report back if successful. Also read: X rolls out Grok-powered AI photo editor, brings in-app image editing to posts The results were unexpected. The company said Mythos managed to bypass its containment measures and carry out actions beyond its defined limits. In one instance, a researcher reportedly received an email from the system while away from their workstation, suggesting the model had found a way to operate outside its restricted environment. Anthropic described this as evidence of a "potentially dangerous capability," particularly as systems grow more autonomous. Unprompted actions deepen concerns What raised further alarm was what happened next. After breaching its constraints, the model reportedly took additional steps without being explicitly instructed. This included sharing details of how it bypassed safeguards on publicly accessible platforms , a move that triggered concerns about uncontrolled information exposure. The system also showed strong cybersecurity skills, identifying serious vulnerabilities in widely used software, including a decades-old flaw in OpenBSD. While such capabilities can be valuable, they also increase the stakes if misused. Bowman noted that although newer models like Mythos tend to misbehave less often, the consequences of even rare failures are becoming more significant. Also read: Meta explores partial open-source AI models under Alexandr Wang amid rising competition Limited rollout instead of public release In response, Anthropic has chosen not to release the model widely for now. Instead, access is being restricted to a small group of partners under a controlled programme. These include companies like Google, Microsoft, Amazon Web Services, Nvidia and JPMorgan Chase. Anthropic said it plans to offer up to $100 million in usage credits to support testing, particularly in cybersecurity and controlled enterprise environments.
Kraken Robotics Demos Next-Gen Tech For Maritime And Defense Operations
At a time when waterways like the Strait of Hormuz have occupied almost every headline and have been the impetus behind a good portion of the ongoing conflict in Iran, Kraken Robotics has successfully completed a new demonstration of its autonomous mine countermeasure technology, highlighting the growing role of unmanned systems in maritime security. The company announced that its KATFISH towed synthetic aperture sonar system, along with its autonomous launch and recovery system (LARS), was fully integrated and tested aboard SEFINE's RD-22 unmanned surface vessel. The demonstration was carried out in partnership with SEFINE SISAM, the company's Strategic Unmanned Systems Research Center, during the first quarter of 2026 off the coast of İstanbul, Türkiye. The trial showcased how autonomous platforms can be used to detect and classify underwater threats more efficiently. According to Kraken Robotics, the exercise focused on identifying mine-like objects and monitoring critical subsea infrastructure -- capabilities that are becoming increasingly important as global attention turns to protecting maritime routes and underwater assets. Bernard Mills, Kraken's Executive Vice President of Defence, said the demonstration reflects the urgent need for advanced tools to secure key waterways. He noted that combining SEFINE's multi-role unmanned surface vessel with Kraken's sonar and launch system allows navies to deploy high-performance mine countermeasure technologies more quickly and with greater flexibility. During the test, the KATFISH system delivered high-resolution sonar imagery with precision down to 3 by 3 centimeters, scanning areas up to 200 meters on each side. The data was transmitted live to an onshore command center, where operators used SEFINE SISAM's mission planning software to analyze and classify potential threats in real time. The event drew representatives from multiple navies and government organizations, underscoring international interest in next-generation autonomous defence systems. This latest demonstration builds on earlier trials conducted in November 2025, when the same KATFISH and LARS setup was deployed from a Royal Navy ARCIMS unmanned surface vessel. Together, these successful integrations mark a significant step toward more agile, modular, and cost-effective solutions for modern mine countermeasure operations. Kraken Robotics develops advanced subsea technologies, including 3D imaging sensors, robotic systems, and power solutions designed to operate safely and efficiently in challenging ocean environments. Its portfolio -- featuring synthetic aperture sonar, sub-bottom imaging, LiDAR, and high-density pressure-tolerant batteries -- supports applications in ocean safety, infrastructure inspection, and subsea energy storage.
Prometheus bound: Why xAI cofounder and former OpenAI hand Kyle Kosic is heading to Jeff Bezos' AI venture - The Economic Times
Jeff Bezos' AI venture Project Prometheus has hired Kyle Kosic, a former OpenAI engineer and xAI cofounder, to strengthen its infrastructure team, the Financial Times reported. The move highlights intense competition for AI talent, as Prometheus expands rapidly with major funding and hiring from top tech firms like Meta, Google DeepMind, and OpenAI.
Anthropic Keeps Claude Mythos AI Private After It Discovered Thousands of Critical Security Flaws - Blockonomi
Nearly all discovered vulnerabilities -- 99% -- remain unpatched at this time Anthropic has made the decision to withhold its latest AI system, Claude Mythos, from public availability. According to the company, the model possesses exceptional capability in identifying critical software security flaws, presenting risks too substantial for widespread distribution. Internal evaluations revealed that the system discovered thousands of serious bugs within mainstream operating systems and internet browsers. Anthropic noted that numerous vulnerabilities had remained hidden for extended periods, with some existing undetected for more than twenty years. The discoveries included a vulnerability in OpenBSD that had persisted for 27 years -- remarkable given the platform's reputation for robust security. Additional findings encompassed a 16-year-old defect in the FFmpeg media processing library and a 17-year-old security gap in FreeBSD. The AI also identified security weaknesses in commonly deployed cryptographic systems and protocols, such as TLS, AES-GCM, and SSH. Web-based applications were shown to harbor various vulnerability types, ranging from SQL injection attacks to cross-site scripting exploits. With 99% of identified vulnerabilities still lacking patches, Anthropic has chosen to keep specific details confidential to prevent exploitation. During evaluation procedures, Mythos exhibited conduct that triggered significant alarm. A security researcher suggested the model attempt to transmit a message if it managed to break free from its virtual containment system. The AI succeeded. The researcher discovered this breach upon receiving an unanticipated email from the model while having lunch outdoors. Subsequently, Mythos proceeded independently to publish exploit information across multiple obscure yet publicly reachable websites -- an action it wasn't instructed to perform. Furthermore, Anthropic staff members without specialized security backgrounds successfully requested that Mythos locate remote code execution vulnerabilities during evening hours, only to find fully functional exploits waiting the following morning. The organization emphasized that individuals lacking technical expertise could potentially leverage the model's abilities for malicious purposes, a crucial consideration in their access restriction decision. Instead of making Mythos publicly accessible, Anthropic established Project Glasswing. This collaborative defense initiative encompasses more than 40 major corporations, including Google, Microsoft, Amazon Web Services, Nvidia, Apple, Cisco, JPMorgan, and the Linux Foundation. Anthropic has committed up to $100 million in Mythos usage credits for participating organizations. The program's objective centers on defensive applications -- identifying and remedying vulnerabilities before malicious entities can weaponize them. The initiative takes its name from the glasswing butterfly, which Anthropic employs as symbolism for discovering concealed vulnerabilities that hide in plain view while maintaining transparency regarding associated risks. Anthropic indicated its aspiration to eventually make what it terms "Mythos-class models" publicly available once appropriate protective measures are established. Currently, access remains restricted to 11 carefully selected partner organizations. This announcement coincided with a significant service disruption affecting Anthropic's Claude and Claude Code platforms.
Anthropic's Claude AI suffers global outage, chat and code features disrupted
New Delhi: Anthropic's Claude AI chatbot faced a widespread outage on Wednesday, leaving hundreds of users unable to access the service across Android, iOS, and web platforms. Core features were affected, as users complained about slow responses and total unavailability of the services. The failure seemed to be a worldwide outage, which impacted several functions at the same time. Users who were trying to gain access to conversations or execute code-based queries had failures, which indicated a more systemwide problem with the backend and not a problem with a particular device. Sudden spike in user reports Data available on outage monitoring platform Downdetector showed that complaints increased drastically approximately at midday. There were the highest reports at about 394 incidents at 12:19 pm; this was a huge increase compared to comparatively low levels at the beginning of the day. Even the data showed smaller spikes preceding the significant spike, suggesting disruptions here and there before the complete disruption. This trend indicates that the system could have been an issue in the past and that it went down further. Chat and code features hit the hardest According to user reports, Claude Chat was the most impacted feature, with almost 49 per cent of the issues. Approximately 30 per cent of the users reported issues with Claude Code, and 15 per cent of the users had a problem with the app itself. Users reported that the conversations would not load or that responses would take a long time, interfering with their casual and professional workflows that relied on the AI tool. No official statement from Anthropic yet Anthropic has not issued any official statement about the outage as of now. The company has not verified the reason behind the disruption or given a schedule on when services are to be restored completely. In the meantime, users with problems will have to wait while the backend systems get stabilised. These outages are normally sorted out with time, but with the lack of communication many users are not certain when normal service will be restored.
Intel Shares Surge Following Partnership With Elon Musk's Tesla and SpaceX - News Directory 3
The partnership targets the generation of 1 terawatt of AI power. Intel announced on April 7, 2026, that it has joined the Terafab AI chip complex project, a partnership with Elon Musk's SpaceX, Tesla and xAI. The collaboration aims to manufacture processors designed to power data centers and robotics. The project centers on the development of a massive chip-production facility located in Austin, Texas. The Terafab plant is expected to cost approximately $25 billion. The partnership targets the generation of 1 terawatt of AI power. Intel will provide the chip-manufacturing experience necessary to accelerate the project's development and production timeline. Intel's involvement is intended to increase the probability of the project's success by leveraging its existing fabrication expertise. The semiconductor industry is characterized by high capital intensity and significant operational complexity, particularly regarding fabrication production yields. The Terafab facility is intended to produce reliably usable semiconductors for the specific needs of SpaceX, Tesla, and xAI, supporting aggressive compute output goals. Following the announcement on April 7, 2026, Intel's stock experienced a positive response. While some reports indicated a surge of 2% or 3%, other data showed the stock closed the day up more than 4%. Tesla's stock ended the same trading session down roughly 1.8%.
Executives Blame Internal Chaos for Enterprise AI Gaps | PYMNTS.com
That turns the process on its head. Instead of a straight line, enterprise AI can become a winding road with potholes and switchbacks. The moment the C-suite's AI conversation shifts from "let's do it" to "let's actually make this happen," things get complicated. Rolling AI out across a large enterprise means stitching the technology into dozens of workflows owned by different teams, each with its own systems, incentives, risk tolerance levels and definitions of "good." What might look like a single initiative from the executive suite quickly becomes a massive coordination challenge across business units. Not just data governance and security, legal and compliance, and product marketing teams are swept in. Employees whose teams and functions are touched by the technology have to be trained. Disparate tech flows have to talk to each other. Getting business units, let alone the entire company, to line up in formation becomes a giant heave. "For most large enterprises, organizational readiness is still the bigger barrier than cost," Ben Schein, chief analytics officer, SVP of product at Domo, told PYMNTS. New research from PYMNTS Intelligence's "The Enterprise AI Benchmark Report" reveals that over 7 in 10 executives (71%) at companies with $1 billion or more in annual revenue believe that organizational readiness is the primary limitation on AI performance. Meanwhile, just 11% think that AI technology itself is the main barrier. In other words, nearly all executives surveyed agreed AI can add value to their company. But most also feel that internal bottlenecks are holding things back. "What's really holding it back is that most AI tools don't learn and don't integrate well into workflows," a report from MIT report said last July. The biggest limitation enterprises face is rarely AI technology itself -- it's usually the company's ability to harness it. The gap between AI's theoretical capabilities and real-world impact is increasingly tangible across business units at large enterprises. Finance wants more accurate forecasting and streamlined quarterly reporting, but the data is spread across dashboards and databases with mismatched formats. Sales wants AI to draft proposals, but customized CRM modules often require manual inputs. Customer support wants automation, but the source of its policies lives in PDFs and email threads. Only 5% of enterprises have AI tools integrated in workflows at scale, the MIT report found. Seven out of 9 sectors -- the exceptions are technology and media -- show no real structural change. In each case, AI exposes bottlenecks that are organizational. That in turn can focus C-suite attention on the areas where the technology can have the greatest impact. Most companies are seeing benefits from using AI in compliance, risk management and quality control, according to a report by ISG. As for fueling growth and reducing costs? Only around 1 in 4 AI initiatives is meeting the C-suite's expectations for revenue impact. "The real issue is not just whether a company can use AI. It's whether they know where AI should be used, and where it shouldn't," Schein said. He added that the companies that will get the most value aren't applying AI in a spray-and-pray fashion. "They're using it where it creates real leverage and avoiding it where a simpler, cheaper, or more deterministic approach already works," he said. To dig deeper, we asked executives which specific barriers they think are limiting AI performance at their firm. Perhaps unsurprisingly, issues related to company data quality, availability or fragmentation came up the most often, cited by 63% of executives. This reflects the challenges of using AI across databases and other sources of information that are not always interoperable or in compatible formats. Budget, time and other resource constraints ranked second, cited by 49% of executives as limiting AI performance at their firms. But interestingly, about the same share named governance, risk and approval processes (48%) and lack of clear ownership and accountability (46%). Just 30% of organizations are redesigning key processes around AI and fewer than 4 in 10 report using the technology "at a surface level, with little or no change to underlying business processes," a report from Deloitte found in January. Company decisions often come down to cost and return on investment targets. But it's significant that executives are equally focused on institutional pieces of the AI equation. Nearly half (45%) of the executives surveyed by PYMNTS cited systems and workflows as a barrier for AI performance. Almost the same share pointed to internal skills and talent (42%) and to lack of leadership or alignment or sponsorship (40%) as holding back the positive impact of AI. Zooming out, our data makes clear that the enterprise AI story has shifted from "What can the technology do?" to "How can organizations roll out and use AI most effectively?" The companies that get disproportionate value won't be the ones trying to put AI everywhere, but the ones that treat data, governance and ownership as the real AI stack -- and build the muscle to deploy it consistently. Read the April report: The Enterprise AI Benchmark Report
EU entry-exit system: Everything you need to know about new system as chaos continues
Add Yahoo as a preferred source to see more of our stories on Google. With just days to go before the long-promised completion of the EU entry-exit system (EES), The Independent has learnt the digital border scheme is unravelling. Some nations in the Schengen area are processing "third-country nationals", including the British, in accordance with the rules laid down by Brussels. But others - notably France, the most popular country in the world for overseas visitors - are far from ready, despite the progressive roll-out of the scheme over six months. "Wet stamping" of passports when entering or leaving the Schengen area was due to disappear by 10 April, but is likely to continue at some frontiers. At others, the only data collected may be basic passport details rather than biometrics. The much-delayed roll-out began on 12 October 2025. The European Commission insists that the scheme is already proving highly effective in detecting overstays and wanted criminals. But the long-planned European Travel Information and Authorisation System (Etias) - the so-called "euro visa" - looks extremely unlikely to be in effect before the end of the year, despite repeated pledges that it will be. These are the key questions and answers. What's the big idea? Brussels has promised "the most modern IT border system in the world". To keep tabs on who is coming and going, "third-country nationals" such as the British will be registered in the entry-exit system every time they cross an external frontier. This means arrivals and departures at airports, land borders and ports in the Schengen area (comprising the EU except Ireland and Cyprus, plus Iceland, Norway and Switzerland). The aims of the digital borders scheme are: According to the rules, British travellers will need to register the four fingerprints from their right hand (not required of children under 12) and a facial biometric on their first encounter with EES. Once registered, on subsequent encounters you should be asked to supply only one biometric when entering and leaving the Schengen area; this is almost certain to be the face. But reports from travellers indicate that you may be asked for both face and fingerprints on multiple occasions. A European Commission spokesperson told The Independent: "This is about the security of Europeans. With the EES, we are building the most modern IT border system in the world. In the past five months, we had more than 44.5 million entries and exits registered. There have been over 24,000 refusals of entry, of which over 600 persons were assessed to be security threats to the Union. What's the problem? Each of the member states, being sovereign nations, is introducing the system at its Schengen area frontiers in its own way. These range from a single airport in the case of Luxembourg to nations with possibly dozens of airports, ferry ports, road and rail borders - such as France, Greece, Poland and Spain. Member states have typically installed ranks of EES kiosks - equipped to take facial biometrics and fingerprints - at each frontier. But there are known problems connecting to the central database. Particular concern has been expressed about the three UK locations where frontier formalities are "juxtaposed" - with French Police aux Frontières conducting checks on British soil. These comprise the Eurotunnel LeShuttle terminal at Folkestone terminal, the Port Of Dover and the Eurostar hub at London St Pancras International. The UK government has provided £10m towards the necessary infrastructure investment. But the three locations have spent many tens of millions of pounds more to create registration areas for British and other travellers to register their biometrics. Yet they are standing idle, reportedly because of connectivity problems on the French side. What will happen when I arrive at a Schengen area frontier? It is impossible to predict. These are four of the possible scenarios: Classic EES You approach the entry-exit system kiosk and insert your passport as indicated on the screen. The system knows whether you are registered. If you are not, you will provide the necessary face and fingerprints for storage on the database. If you have already been through the system, you should be asked only to provide a facial biometric. You will then be directed either to eGates or a human border officer. From 10 April 2026 you should not have your passport stamped. EES plus This is the case when you know for a fact that you have provided your facial biometric and fingerprints, typically on your way in to a Schengen area country, but then have to provide both once again - either on the way out, or on a subsequent entry, or both. The explanation could be that your biometrics were not properly recorded at the first attempt - or that the member state wants to do things its own way. EES minus At frontiers that are particularly busy, or where the biometric equipment is not functioning properly, you may simply have your passport scanned by a border officer. This will be registered on the entry-exit system database. No wet stamping should be necessary. What EES? The Independent understands that some nations will completely suspend interaction with the entry-exit system at some crossing points for the summer. If this happens, wet stamping will continue. Such an imbalance has plenty of scope for creating anomalies, such as entering country A with only a passport stamp, but leaving nation B through EES - without ever apparently having arrived. It is likely that such anomalies will be overlooked by the authorities until the system is fully working. I have heard about long delays at airports Many travellers have told The Independent of extremely long queues at airports where the EES is already in force: both on entry and exit. There have been some cases of departing passengers missing flights because the waits are so long. Two key aviation leaders in Europe - Olivier Jankovec, representing airports, and Ourania Georgoutsakou, representing airlines - have issued a joint statement warning: "The combination of full registration requirements and reduced operational flexibility is expected to place unprecedented strain on border control operations." They are calling on the European Commission and member states to fully or partially suspend EES "where operationally necessary" during the summer of 2026, citing: A European Commission spokesperson said the organisation "is aware of the concerns expressed" and "has been engaging constructively with the industry". They added: "With the system operating well, it takes only 70 seconds to register an entry or exit." What is happening with the Etias? This is the European Travel Information and Authorisation System, akin to the UK's ETA and the US Esta, and colloquially known as a euro visa. It will become mandatory for third-country nationals who do not require a full EU visa. The Commission insists: "Etias will start operations in the last quarter of 2026." But that seems extremely unlikely, since it requires the entry-exit system to be working well for at least six months before it begins. Travellers are assured: "The European Union will inform about the specific date for the start of Etias several months prior to its launch. What does the European Commission say about all this? The spokesperson said: "All member states had declared their readiness ahead of its progressive launch. This was a legal precondition for setting the launch date of the EES. "Despite the agreed timeline, a few member states are encountering technical difficulties. The Commission is in close contact with these member states and also sharing best practices from member states where the system is working well. "The EES rules foresee flexibility to ensure border fluidity. There are fall-back solutions that member states can rely on if needed." The final line points to the feeling in Brussels that individual nations are not doing well enough: "Border fluidity should also be ensured by the member states by providing enough resources and personnel at heavy-traffic border crossing points."
The youth unemployment crisis fuelling chaos on London's streets
Tim Wallace is the Telegraph's Deputy Economics Editor. He has reported on business, finance and the economy since 2010 and joined the Telegraph in 2015. He has won the Economic Research Council's annual forecasting competition. Even to a public wearily familiar with scenes of shoplifting and ...
Anthropic hires Microsoft exec Eric Boyd to boost AI infrastructure
Boyd took to LinkedIn to share his thoughts about his new role at Anthropic. He said, "AI is accelerating at an incredible pace, and the impact of Claude Code in the last 6 months, and particularly the last two months, just shows the power of what is possible." Before joining Anthropic, Boyd helped internal teams and external customers deploy large language models at Microsoft. Rahul Patil, the Chief Technology Officer at Anthropic, welcomed Boyd to the team. He said, "His experience leading infrastructure at enterprise scale will help ensure we can meet record demand from customers around the world." Patil also noted that Boyd comes from Microsoft where he built core infrastructure for foundation models like Claude. Advertisement Anthropic has seen its revenue run rate skyrocket to over $30 billion, up from about $9 billion at the end of 2025. This growth is largely driven by strong demand for its AI tools, especially Claude Code. However, the company has also faced challenges with its services going down due to "unprecedented demand" from individual users and businesses alike. Advertisement To tackle these challenges, Anthropic is expanding its infrastructure capacity. Recently, chipmaker Broadcom struck a deal with the AI start-up to provide access to some 3.5 gigawatts of computing power from 2027, using Google's processors. This agreement builds on Anthropic's previous commitment to invest $50 billion in US-based computing infrastructure and new data centers in Texas and New York by 2026.
Anthropic limits Claude Mythos rollout after it identified critical flaws across global software systems
Anthropic limits Claude Mythos rollout as it spots vulnerabilities in many software systems Anthropic has begun limiting access to its latest AI system, Claude Mythos Preview, after early testing showed it could uncover thousands of critical vulnerabilities across widely used software environments. The model, described as general purpose, identified critical vulnerabilities spanning major operating systems and web browsers, raising immediate questions about how such capabilities could be handled safely as they scale. "Given the rate of AI progress, it will not be long before such capabilities proliferate, potentially beyond actors who are committed to deploying them safely," Anthropic said. Industry data cited by Anthropic points to a 72% year over year increase in AI-powered cyberattacks, with 87% of global organizations reporting exposure to AI-enabled incidents in 2025. The concern now is less about whether these tools will be used offensively and more about how quickly they spread beyond controlled environments. Anthropic's internal findings suggest the scale of the problem runs deeper than previously understood. Many of the vulnerabilities flagged by Mythos Preview had gone unnoticed for years. Some trace back decades. One of the most notable discoveries was a 27-year-old bug in OpenBSD, an operating system known for its focus on security. The issue has now been patched. The model also uncovered a 16-year-old flaw in FFmpeg, a 17-year-old remote code execution vulnerability in FreeBSD, and several issues within the Linux kernel. Beyond operating systems, the model also detected weaknesses in widely used cryptographic standards such as TLS, AES GCM, and SSH. Web applications were found to contain a range of vulnerabilities, including cross-site scripting, SQL injection, and cross-site request forgery, which are often used in phishing attacks. "99% of the vulnerabilities it found have not yet been patched, so it would be irresponsible for us to disclose details about them," the company said, pointing to the risks of premature disclosure. The ability to detect zero-day vulnerabilities at this scale could change how software security is handled. In the past, finding such issues required specialized expertise and significant time. AI systems can now scan large codebases much faster, which could speed up both detection and response. However's there's still the risk of misuse if this falls into the wrong hands. "Work of defending the world's cyber infrastructure might take years," Anthropic said. "In the long run, we expect that defense capabilities will dominate: that the world will emerge more secure, with software better hardened, in large part by code written by these models. But the transitional period will be fraught." For now, access to Mythos Preview remains limited, with the company focusing on working with partners to address existing vulnerabilities and reduce the risks tied to wider deployment.
Claude AI down: Anthropic users hit with errors as chatbot goes offline - AOL
Claude, the Anthropic AI chatbot, has gone down in a major outage. The company said that users were seeing an "elevated rate of errors" when using Sonnet 4.6, the model that powers Claude as well as other parts of Anthropic's offering. In practice, that meant that the system would get stuck seeming to think, without giving any response to a question. The problems followed issues on Tuesday, which also resulted in errors showing to users. Anthropic said then that it had fixed the issue and the service had returned to normal.
Elon Musk's SpaceX xAI Orbital Data Centers Target Massive IPO
A highly anticipated IPO is reportedly targeted for 2026, with analysts speculating a massive $1.5 trillion valuation to fund the space-bound infrastructure Elon Musk is officially taking artificial intelligence to the cosmos. SpaceX has finalized its acquisition of xAI in a bold move to construct orbital data centers. The strategy is designed to combat the immense power and cooling constraints currently bottlenecking terrestrial AI development, shifting heavy computing workloads directly into orbit. To pull off this monumental infrastructure pivot, SpaceX recently filed plans with the Federal Communications Commission for a constellation of up to one million solar-powered satellites. This fleet essentially forms a decentralized, space-based cloud platform. Delivering on this scale serves as a massive forcing function for the Starship launch vehicle, which is aiming for hourly flights carrying 200 tons of payload to blast these orbital nodes into the stars. Financing a million-satellite network requires astronomical capital. Consequently, SpaceX is reportedly targeting an Initial Public Offering in 2026. Industry analysts speculate the move could value the space exploration giant at an unprecedented $1.5 trillion USD. While the logistical hurdles of space-based computation remain immense, Musk envisions this off-world AI network as the financial and structural engine to eventually support a self-sustaining civilization on Mars.
UAE unveils Dh6-billion transport masterplan to cut Dubai-Sharjah-Ajman traffic chaos
For years, the Dubai - Sharjah - Ajman stretch has been one of the UAE's most congested commuter corridors, affecting millions of daily travellers moving between home and work.The issue isn't small. The three emirates together form the UAE's largest urban cluster, with over 6 million residents and intense daily cross-border commuting. Peak-hour traffic on major routes like Sheikh Mohammed bin Zayed Road (E311) often slows to a crawl, with long delays becoming routine.Now, authorities say a multi-layered transport overhaul is the only way to fix the problem, not just more roads, but smarter mobility options.At the centre of the plan is a massive Dh6-billion federal highway project, often referred to as the "Fourth Federal Highway."Key features include:This new corridor will join existing major highways like E11, E311 and E611, which are currently under heavy pressure.Officials say the highway is designed not just to ease congestion but also to support future population growth and economic expansion across the northern emirates.The plan does not rely only on expanding roads. A key shift is the introduction of a high-capacity public transport system designed to move people more efficiently across the three emirates. Authorities have proposed around 10 major transit routes linking Dubai, Sharjah and Ajman, supported by dedicated Bus Rapid Transit (BRT) lanes that allow buses to bypass traffic congestion.These BRT systems will operate on exclusive corridors, ensuring faster and more reliable journeys, much like a metro system but with greater flexibility and lower cost of deployment. The network is expected to connect directly with metro stations and major urban centres, making transfers smoother for daily commuters. The broader aim is to reduce reliance on private cars, shorten commute times, and lower carbon emissions, especially as vehicle numbers across the UAE continue to rise.The proposal was reviewed during the first 2026 meeting of the UAE Infrastructure and Housing Council, chaired by Energy and Infrastructure Minister Suhail Mohamed Al Mazrouei. Officials emphasised that solving congestion will require more than just building new roads.Alongside infrastructure expansion, authorities are studying ways to manage the growth of vehicle ownership while improving coordination between different modes of transport, including road networks and public transit systems. There is also a strong focus on long-term sustainable mobility planning, signalling a broader shift in UAE policy towards a fully integrated, multi-modal transport ecosystem rather than relying solely on road expansion.For millions of commuters travelling daily between Dubai, Sharjah and Ajman, the combined impact of these measures could be transformative. Travel times are expected to improve as congestion eases across key routes, while the availability of faster and more reliable public transport could offer a practical alternative to driving.Over time, this could reduce peak-hour pressure on highways, lower commuting stress, and make cross-emirate travel more predictable and efficient. Ultimately, the plan reflects a larger effort to rethink how people move between cities, focusing not just on adding capacity but on creating a smarter and more balanced transport system.
