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5 May 2026, 22:31

Kelp Blames LayerZero for $292 Million Hack, Plans Switch to Chainlink

The protocol shift comes as a $71 million court fight continues to unfold.

5 May 2026, 21:15

White House now wants to review AI models before they are released to the public

The White House is considering a plan to review some of the most powerful artificial intelligence systems before they are released to the public. The proposal, first reported by The New York Times on May 4, would introduce federal scrutiny at a critical point in the AI lifecycle, just before deployment. Officials are increasingly concerned that frontier models are now capable of identifying and exploiting weaknesses in the software that underpins essential infrastructure. An analysis published by The Conversation points to growing evidence that recent AI systems can uncover large numbers of vulnerabilities in operating systems and web browsers. That capability, while valuable for defensive security, also raises the stakes if such tools were to be misused or fall into the wrong hands. Model capabilities prompt policy rethink The policy discussion gained urgency after Anthropic opted to delay wider release of its latest model, Mythos . Internal testing revealed advanced cybersecurity capabilities, including the ability to identify numerous exploitable flaws. In response, the company restricted access to a limited group of organizations responsible for critical infrastructure through its “Project Glasswing” initiative. According to The Conversation , the White House stepped in when Anthropic explored expanding access, signaling a more hands-on approach to AI oversight even as broader tech policy has remained relatively market-driven. Concerns are not limited to a single company or system. The UK AI Safety Institute reported in an April evaluation that OpenAI GPT-5.5 demonstrated comparable performance on advanced cybersecurity tasks. In one test highlighted by the institute, the model reverse-engineered a custom virtual machine and solved a complex challenge in minutes, far quicker than a human expert using professional tools. “A key question was whether this reflected a breakthrough specific to one model, or part of a broader trend,” the institute wrote in its report. “Results from an early checkpoint of GPT-5.5 suggest the latter.” Taken together, the findings suggest these capabilities are becoming a common feature of leading AI systems, rather than an isolated breakthrough. AI security concerns take on a geopolitical dimension The implications extend beyond technology into national security. Researchers cited by The Conversation warn that state-linked groups could use similar tools to carry out cyber operations, potentially targeting infrastructure or economic systems. There are already early signs of this shift. Anthropic has reported suspected state-backed actors using its models in espionage campaigns affecting dozens of organizations. Meanwhile, Microsoft and OpenAI said in 2024 that government-affiliated groups were leveraging AI to enhance cyberattacks. At the same time, researchers are still grappling with how to reliably control these systems. Work cited by The Conversation suggests that safety filters applied after training can be bypassed, while some models may appear compliant without fully eliminating risky capabilities. This has led to a growing view among policymakers that safety measures may need to be embedded during model development rather than added later. Policy outlook: fragmented frameworks, rising pressure The U.S. proposal is taking shape within a broader, still-evolving global regulatory landscape: The EU AI Act sets out a risk-based framework with strict requirements for high-risk applications, though it does not mandate centralized approval for frontier models. The UK has leaned on voluntary cooperation through the UK AI Safety Institute, focusing on testing and evaluation partnerships with developers. The emerging U.S. approach appears to be moving toward direct oversight of the most advanced systems, potentially through pre-release review. Lawmakers have begun examining these issues more closely, with congressional hearings in April on AI safety and governance, though no comprehensive legislation has yet advanced. If implemented, a U.S. pre-release review system would represent a shift toward earlier intervention, placing oversight at the point where risks can be anticipated rather than after they materialize. Such a move could set an informal global standard, particularly given the concentration of leading AI developers in the United States. At the same time, it raises the possibility that companies may shift parts of development or deployment to regions with fewer restrictions. The challenge for policymakers is balancing innovation with risk management in a field where capabilities are advancing quickly, and the consequences of misuse could be far-reaching. For now, the most concrete safeguards remain voluntary. Companies such as Anthropic are limiting access to sensitive systems, while organizations like the UK AI Safety Institute continue to run independent evaluations. Whether the United States formalizes its approach—and whether other countries align with it—will be a key factor in shaping how AI is governed in the years ahead. The smartest crypto minds already read our newsletter. Want in? Join them .

5 May 2026, 20:43

AMD rose about 5% after beating first-quarter revenue and adjusted earnings estimates

Advanced Micro Devices (AMD) rose about 5% in late trading Tuesday after the chip company beat Wall Street’s first-quarter targets and gave a stronger sales forecast for the next quarter. AMD reported $10.25 billion in quarterly revenue, above the $9.89 billion expected by LSEG. Adjusted earnings came in at $1.37 per share, beating the $1.29 estimate. For the first quarter, AMD posted $10.3 billion in revenue, 53% gross margin, $1.5 billion in operating income, $1.4 billion in net income, and $0.84 in diluted earnings per share under GAAP. On a non-GAAP basis, the company reported 55% gross margin, $2.5 billion in operating income, $2.3 billion in net income, and $1.37 in diluted EPS. AMD uses data center demand to lift quarterly sales and profit Dr. Lisa Su, chair and CEO of AMD , said demand is getting stronger as inferencing and agentic AI increase the need for high-performance CPUs and accelerators. Lisa also said server growth should pick up as supply expands, while customer interest in the MI450 Series and Helios has strengthened beyond early company expectations. GAAP revenue increased 38% from $7.438 billion in Q1 2025 and was almost unchanged from $10.270 billion in Q4 2025. Gross profit reached $5.416 billion, up 45% from last year, but down 3% from the prior quarter. AMD’s gross margin came in at 53%, compared with 50% a year earlier and 54% in Q4. Operating expenses were $3.940 billion, up 34% year over year and 3% quarter over quarter. Operating income climbed to $1.476 billion, up 83% from $806 million last year, but lower than $1.752 billion in the prior quarter. Operating margin was 14%, versus 11% a year earlier and 17% in Q4. Net income nearly doubled to $1.383 billion, up 95% from $709 million, while diluted EPS rose to $0.84 from $0.44. Compared with Q4, net income fell 8%, and diluted EPS fell 9%. AMD’s non-GAAP revenue used the same $10.253 billion figure. Gross profit was $5.685 billion, up 42% year over year and down 3% sequentially. Gross margin was 55%, up 1 percentage point from last year and down 2 points from Q4. Operating expenses reached $3.145 billion, up 42% from last year and 5% from the prior quarter. Operating income was $2.540 billion, up 43% year over year. Operating margin reached 25%. Net income was $2.265 billion, up 45%, while adjusted EPS rose 43% from $0.96 and fell 10% from $1.53 in Q4. AMD signs AI and cloud deals while guiding for $11.2 billion in Q2 revenue AMD’s Data Center business brought in $5.8 billion, up 57% from last year, helped by demand for EPYC processors and more Instinct GPU shipments. Client and Gaming revenue reached $3.6 billion, up 23%. Client revenue was $2.9 billion, up 26%, helped by Ryzen demand and share gains. AMD’s gaming revenue was $720 million, up 11%, as Radeon GPU sales helped offset weaker semi-custom revenue. Embedded revenue came in at $873 million, up 6%, with better demand across several markets. Meta Platforms (META) and AMD plan to deploy up to 6 gigawatts of AMD Instinct GPUs. The first 1 gigawatt will use a custom MI450-based GPU. Meta will also be a lead customer for sixth-generation EPYC CPUs, codenamed Venice and Verano. Amazon (AMZN) AWS, Alphabet ( GOOGL ) Google Cloud, Microsoft (MSFT) Azure, and Tencent (TCEHY) announced new or expanded fifth-generation EPYC-powered cloud instances. Those include Google Cloud H4D VMs for high-performance computing and Azure instances for general-purpose, memory-optimized, and compute-optimized workloads. AMD Instinct MI355X also posted MLPerf results across the full test suite, with top results in several categories. The company introduced EPYC 8005 server CPUs for telecom and edge systems, with a focus on performance per watt and per dollar. For PCs, AMD added Ryzen AI PRO 400 Series processors for enterprise desktops with Copilot+ features. It also announced the Ryzen 9950X3D2 Dual Edition processor for creators and developers, using dual stacks of 3D V-Cache technology. For embedded and adaptive chips, the company introduced Ryzen AI Embedded P100 Series processors for industrial and edge AI, plus Kintex UltraScale+ Gen 2 FPGAs for industrial, imaging, and broadcast uses. For Q2 2026, AMD expects about $11.2 billion in revenue, plus or minus $300 million, with roughly 46% year-over-year growth, about 9% sequential growth, and a non-GAAP gross margin near 56%. Still letting the bank keep the best part? Watch our free video on being your own bank .

5 May 2026, 19:47

Western Union launches USDPT digital dollar on Solana

🚀 Western Union introduces USDPT digital dollar on the Solana network. Consumers and businesses gain fast, low-cost transfers through $SOL technology. Continue Reading: Western Union launches USDPT digital dollar on Solana The post Western Union launches USDPT digital dollar on Solana appeared first on COINTURK NEWS .

5 May 2026, 19:40

Solana and Google have launched Pay.sh to enable agentic payment

The Solana Foundation and Google Cloud have launched Pay.sh, a payment gateway designed to let artificial intelligence agents access and pay for application programming interfaces (APIs) using stablecoins. The system introduces a pay-as-you-go model that allows AI agents to autonomously pay for data, compute, and services, using stablecoins on the Solana blockchain. The move reflects a broader shift toward machine-to-machine commerce. Pay.sh acts as an API aggregation and payment layer, enabling agents to connect wallets, discover services, and settle payments per request using blockchain-based payment protocols. The model removes the need for traditional onboarding steps such as account creation, identity verification, and billing setup. Introducing https://t.co/wP8Q8614MS , in collaboration with @googlecloud For the first time agents can discover, access, and pay-per-request for APIs from Google Cloud including Gemini, BigQuery, Vertex AI, and more using stablecoins on Solana. No accounts, no subscriptions,… pic.twitter.com/iV6Tc1t2fc — Solana Foundation (@SolanaFndn) May 5, 2026 Infrastructure shift toward autonomous payments The launch comes as developers and infrastructure providers race to build financial systems that AI agents can use independently, something traditional payment rails were never designed to support. “Payment protocols … are starting to be built,” Rishin Sharma, head of AI growth at the Solana Foundation, said in March, referring to the emergence of systems tailored for autonomous software. “Agents aren’t able to transact in the same way over traditional card networks,” Sharma added, pointing to structural limitations in legacy systems. He said newer standards, such as x402, are beginning to address that gap. “You can pay using a stablecoin,” Sharma said, describing how agents can directly transact for services. Google Cloud ties reinforce enterprise positioning Google Cloud’s involvement adds institutional weight to the initiative, signaling growing interest in blockchain-based infrastructure for enterprise and AI use cases. The company has previously integrated Solana blockchain data into its BigQuery platform, aiming to expand access to analytics tools for developers and businesses. “The Solana ecosystem is growing rapidly,” said Dan Albert, executive director of the Solana Foundation, noting that improved data access can support broader adoption. Race to build agent payment rails Pay.sh enters a competitive and still-forming market where crypto firms and fintech companies are building payment infrastructure specifically for AI agents. Platform Backing Payment Model Identity Layer Key Features Limitations Pay.sh Solana Foundation + Google Cloud Per-request (stablecoins) Wallet-based API aggregation, autonomous payments Early-stage adoption x402 ecosystem Coinbase and partners Per-request (crypto) Wallet-based Open protocol for machine payments Limited enterprise cloud integration Stripe agent billing tools Stripe Usage-based (fiat) Account-based Mature billing infrastructure Requires accounts, not agent-native Traditional cloud APIs Major providers Subscription / usage billing Account + API keys Established ecosystem Not designed for autonomous agents Outlook for Pay.sh Whether Pay.sh gains traction will depend on adoption from both API providers and developers building AI agents. The broader shift toward micro-payments and wallet-based identity could reshape how software interacts with digital services, but it remains in its early stages. Sharma said the implications could be far-reaching as the technology matures. “These payment frameworks are basically going to be the rails that agents are orchestrating,” he said. If you want a calmer entry point into DeFi crypto without the usual hype, start with this free video.

5 May 2026, 19:20

Ferrari beat Q1 earnings, with its first EV debuting on May 25

Ferrari reported better-than-expected first-quarter profits on Tuesday, even as the global electric vehicle market continued to provide mixed signals to automakers. The Italian sports car firm announced adjusted earnings per share of 2.33 euros, or around $2.72, exceeding analyst projections of 2.27 euros. Revenue for the quarter totaled 1.85 billion euros . The figures kept up despite the company delivering fewer automobiles, 3,436 units, a 4.4% decrease from the same period the previous year. Ferrari claimed it purposefully halted manufacturing to accommodate a planned move in its model portfolio. The corporation also stuck to its annual targets. Ferrari estimates net revenues of 7.5 billion euros in 2026, with an adjusted operating profit of at least 2.22 billion euros. The financial report comes just weeks before Ferrari debuts its first fully electric vehicle. The Luce is set to make its world debut on May 25. CEO Benedetto Vigna stated that excitement for the launch is at an all-time high. “With only twenty days to the world premiere of the Ferrari Luce, the sense of anticipation has never been so high,” he said. Vigna did not share specific order numbers but noted the debut event is “fully booked, actually overbooked.” He said Ferrari expects the car to bring in both existing customers and new buyers. Ford pushes on despite EV losses While Ferrari looks forward to its electric future with confidence, the broader EV sector is currently suffering. Ford Motor Company, on the other hand, is moving on with its next generation of electric vehicles despite the fact that many other automakers are backing off. The corporation has absorbed $19.5 billion in EV-related restructuring costs. “Agility is key,” said Alan Clarke, Ford’s EV product leader. “The EV industry has had massive headwinds, and so we’ve had to adjust.” Ford is relying on its Universal Electric Vehicle platform, or UEV, a technology created entirely from scratch. According to the firm, the UEV is essential to its aim to transform its Model e electric unit from a loss-making operation to a profitable one by 2029. The first car intended for the platform is a midsize pickup truck costing approximately $30,000, aimed at the US market, and set to come next year. Ford CEO Jim Farley has described the US-built project as a $5 billion “bet” on America. “It represents the most radical change on how we design and how we build vehicles at Ford since the Model T,” Farley said. Hybrids gain ground as UK hits milestone That bet is being made against a challenging backdrop. According to new statistics from iSeeCars , used hybrid vehicles outperform both traditional cars and electric vehicles in the second-hand market. Hybrid market share increased 41.8% year on year in the first quarter of 2026, much outpacing the 15.9% growth recorded in used EVs. Used hybrid prices declined by 1.4% over the same period last year, while non-Tesla EV prices fell by 10.3%. Across the Atlantic, the outlook is more positive. The UK new car market increased by 24.0% in April, with 149,247 registrations. The month also commemorated a significant event. The country registered its two millionth battery electric car , with EV registrations up 59.1% from April of last year. Battery electric vehicles accounted for 26.2% of all new automobile registrations during the month. Nonetheless, the industry’s outlook for the entire year has been reduced. Following a dismal first quarter, the estimated battery EV share for 2026 has been cut down to 26.8% from 28.5% previously. According to industry groups, energy costs, production expenses, and charging infrastructure continue to be impediments to rapid adoption. They argue that demand is not keeping up with government regulations, and they are now advocating for a policy rethink to better reflect what shoppers actually want. Ford and Ferrari could be choosing to spend heavily now to avoid falling behind later. Ferrari might be using its high profits from gas cars to fund the Luce, betting that luxury buyers will pay for brand prestige regardless of the engine. Ford is taking a bigger risk by spending billions on the UEV platform to lower costs. The smartest crypto minds already read our newsletter. Want in? Join them .