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blockonomi.com USDT0 Targets $12 Billion in Idle DeFi Capital Through Unified Stablecoin Infrastructure

TLDR: Over $12 billion in DeFi liquidity sits dormant at any given time due to fragmented stablecoin infrastructure across chains. Between 83% and 95% of deposited DeFi liquidity goes unused, mirroring the inefficiency of traditional nostro and vostro accounts. USDT0 maintains one unified USDT supply across 20+ chains, removing the structural need for pre-positioned buffer [...] The post USDT0 Targets $12 Billion in Idle DeFi Capital Through Unified Stablecoin Infrastructure appeared first on Blockonomi.

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news.bitcoin.com Qivalis Adds 25 Banks as Europe Pushes Euro Stablecoin Infrastructure

25 additional banks have joined Qivalis, a European stablecoin initiative now backed by 37 financial institutions across 15 countries. The project reflects growing efforts by European lenders to build blockchain-based payment infrastructure independent of U.S.-dominated networks. European Banks Expand Qivalis to 37 Members Across 15 Countries A growing coalition of European banks is accelerating efforts […]

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cryptobriefing.com UK strikes £3.7B trade deal with Gulf Cooperation Council, opening doors for fintech and digital assets

The UK-GCC trade deal enhances fintech collaboration, potentially boosting digital asset markets but raises human rights compliance issues. The post UK strikes £3.7B trade deal with Gulf Cooperation Council, opening doors for fintech and digital assets appeared first on Crypto Briefing.

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blockonomi.com Bitcoin Institutional Selling Intensifies as BTC Tests Critical $77,800 Resistance Level

TLDR: The Coinbase Premium Index has turned negative, showing institutions are selling BTC more aggressively than retail traders on Binance. Analyst Darkfost uses a volume-weighted hourly version of the index to reduce noise and track short-term institutional behavior closely. Geopolitical tension around the Strait of Hormuz is pushing institutions toward hedging strategies while awaiting macroeconomic [...] The post Bitcoin Institutional Selling Intensifies as BTC Tests Critical $77,800 Resistance Level appeared first on Blockonomi.

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forklog.media Google Unveils Android CLI for Third-Party AI Agents

Google has released the stable version of Android CLI 1.0, opening the tool for third-party AI agents. The company announced the launch at the I/O 2026 conference. The update components also include: Android Skills: a GitHub repository with Markdown instructions. These are modular rule sets that help neural networks (Gemini, Claude Code, and others) better understand the specifics of Android development, from navigation to migration to Compose; knowledge base: a specialized database accessible via the android docs command. It provides AI agents with up-to-date context from Android, Firebase, and Kotlin documentation, even if the model's training data is outdated. Previously, Android CLI was primarily used with Gemini CLI and Google Antigravity. Now, the tool supports external agents like Claude Code or Codex. According to Google, this approach allows for app creation three times faster. Using Android CLI with Android skills reduces LLM token consumption by approximately 70% compared to regular chatbots lacking platform context. Integration with Android Studio In version 1.0, the tool has gained a close connection with the IDE. Through a new set of android studio commands, AI agents have access to: error analysis and symbol declaration searches; rendering Compose Preview; checking current dependency versions. Effectively, Android CLI has become a software layer over Android Studio, providing models with "semantic" access to project structure and platform resources. Google emphasized that development is not limited to its own models. The documentation explicitly mentions support for Claude and GPT. Android Studio itself now allows connecting any models, including the local Gemma 4. Android CLI has been integrated into the Antigravity 2.0 platform and Google AI Studio. The latter has gained native development capabilities, including: automatic application code generation; built-in emulator; deployment on physical devices and publishing to Google Play (internal tests). To automate complex tasks, a Journeys system has been implemented, allowing for the description of action sequences (e.g., "go to the cart and click pay") in simple terms. Despite the expansion of terminal capabilities, Google maintains Android Studio as the main hub for complex debugging and profiling, positioning the CLI as a bridge between AI and the professional development environment. A preliminary version of Android CLI is already available for download. Developers can also use the android sdk install command for quick setup of necessary environment components. Back in May, the corporation tightened its policy on the use of search AI tools following a public experiment by BBC journalist Thomas Germain.

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blockonomi.com FanDuel vs BetMGM: Established Rivals and the Rise of ZunaBet

A Rivalry That Shaped American Gambling FanDuel and BetMGM have been trading punches for years. Their rivalry has driven innovation, fueled billions in advertising spend, and given American players two genuinely strong options for online sports betting and casino gaming. Every state that legalizes online gambling becomes a new battlefield for these two, and players [...] The post FanDuel vs BetMGM: Established Rivals and the Rise of ZunaBet appeared first on Blockonomi.

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blockonomi.com XRP Binance Withdrawals Hit Highest Share Since April 10 as Price Holds Near $1.37

TLDR: XRP Binance withdrawal transactions reached 53%, the highest share recorded since April 10, 2026. The current XRP price near $1.37 closely mirrors the April 10 setup, when withdrawals also led deposits at 53.4%. Ripple’s RLUSD integration with EDX Markets strengthens its institutional narrative amid ongoing short-term price volatility. XRP RSI sits between 31 and [...] The post XRP Binance Withdrawals Hit Highest Share Since April 10 as Price Holds Near $1.37 appeared first on Blockonomi.

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blockonomi.com Jeff Bezos Explains Why AI Investment Fears Are Misplaced — What Amazon’s (AMZN) Founder Really Thinks

Jeff Bezos defends AI investment amid bubble fears, comparing it to 90s biotech boom. Amazon (AMZN) spends $200B on AI while cutting 16,000 jobs in 2026. The post Jeff Bezos Explains Why AI Investment Fears Are Misplaced — What Amazon’s (AMZN) Founder Really Thinks appeared first on Blockonomi.

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blockonomi.com OFAC Sanctions Sinaloa Cartel’s Crypto Laundering Network Used to Move Fentanyl Proceeds

TLDR: OFAC sanctioned over a dozen individuals tied to the Sinaloa Cartel’s crypto laundering operation in May 2026. Los Chapitos used stablecoins and decentralized exchanges to convert fentanyl cash proceeds into digital assets. Chainalysis traced on-chain fund flows and labeled all sanctioned crypto addresses within its blockchain analytics suite. A Colorado grand jury indicted cartel [...] The post OFAC Sanctions Sinaloa Cartel’s Crypto Laundering Network Used to Move Fentanyl Proceeds appeared first on Blockonomi.

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blockonomi.com Ripple Prime and EDX Markets Join Forces to Reshape Institutional Digital Asset Trading

TLDR: Ripple Prime integrates with EDX Markets to give institutions unified access to spot and perpetual futures liquidity. The partnership tackles market fragmentation through credit intermediation, net settlement, and collateral management services. RLUSD is set to become a settlement and collateral asset on EDX, enabling cross-collateralization across trading products. Both CEOs confirmed that the deal [...] The post Ripple Prime and EDX Markets Join Forces to Reshape Institutional Digital Asset Trading appeared first on Blockonomi.

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bitcoinist.com Evernorth Says RLUSD Is Not An XRP Killer: Here’s Why

Evernorth Chief Business Officer Sagar Shah has pushed back on the idea that Ripple’s dollar-backed stablecoin RLUSD could replace XRP, arguing that the two assets are designed for different roles in on-chain finance. In a May 20 blog post, Shah said RLUSD can serve as a high-quality digital dollar, while XRP remains the neutral routing […]

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forklog.media OpenAI’s AI Model Challenges Erdős’s 80-Year-Old Unit Distance Hypothesis

OpenAI has announced a breakthrough in the classical mathematical problem posed by Paul Erdős regarding unit distances. Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul Erdős in 1946.For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids.An OpenAI model has now disproved that… pic.twitter.com/j2g3Ze0zEG— OpenAI (@OpenAI) May 20, 2026 In 1946, Erdős proposed the following hypothesis: if n points are placed on a plane, how many pairs of points can be exactly at a distance of at least n1-δ(1). It is considered one of the most famous problems in combinatorial geometry: simple to state, yet unsolved for decades. OpenAI claimed that its internal model has refuted the long-standing hypothesis in discrete geometry. The company published a separate document detailing the result, including links to proofs and accompanying notes. The model discovered an infinite family of examples that provide a polynomial improvement over constructions previously thought to be near-optimal. The work demonstrates the existence of a constant δ > 0 and infinitely many values of n, for which configurations of n points can be constructed with at least n1+δ pairs at a distance of 1. The best-known previous construction, based on a scaled square grid, provided approximately n(1 + C / log(log(n))) unit distances. This is only slightly faster than linear growth: as log(log(n)) increases with n, the additional factor C / log(log(n)) gradually approaches zero. Interestingly, the solution emerged not from geometry itself, but from algebraic number theory. Instead of classical Gaussian integers of the form z = a + bi, where a and b are integers (including zero), and i is the imaginary unit, the model utilized more complex number fields with rich symmetries. The proof employs tools such as infinite class field towers and the Golod–Shafarevich theorem. For number theory specialists, these are well-known methods, but their connection to an elementary geometric problem was unexpected. Independent Audit OpenAI stated that the proof was verified by a group of external mathematicians. The company also emphasized that the result was achieved not by a specialized mathematical system, but by a general-purpose reasoning model. According to the startup, the work was part of a broader examination of whether advanced neural networks can contribute to cutting-edge scientific research. The OpenAI document includes assessments from several mathematicians. Notably, Fields Medalist Timothy Gowers described the result as a "milestone for AI in mathematics." The document also quotes University of Toronto mathematician Arul Shankar, who stated that current models are capable not only of assisting but also of proposing original ideas and bringing them to fruition. Earlier in February, Google's DeepMind division introduced the AI agent Aletheia, which set a new record in the IMO-ProofBench Advanced benchmark.

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news.bitcoin.com ZEC Hits $686 Amid $28M Liquidations as Analyst Warn of Coordinated Squeeze

The privacy coin Zcash jumped over 17% in six hours, hitting a new year-to-date high on May 20. The rally pushed its monthly gains past 90% and its market capitalization over the $11 billion threshold, eclipsing rival monero. Zcash Hits New YTD High Privacy coin Zcash (ZEC) surged to a new year-to-date high on May […]

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blockonomi.com Beyond the Price Drop: How SUI Blockchain Kept Building Through the Market Downturn

TLDR: SUI became only the fourth Layer-1 after BTC, ETH, and SOL to have CME futures listed in 2026. Three US staking ETFs from Grayscale, Canary Capital, and 21Shares expanded SUI’s institutional reach. SUI’s TVL drop from $2B to $500M reflects a 70% price decline, not capital leaving the ecosystem. Cumulative stablecoin transfers on SUI [...] The post Beyond the Price Drop: How SUI Blockchain Kept Building Through the Market Downturn appeared first on Blockonomi.

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blockonomi.com Sui Launches Gasless Stablecoin Transfers, Cutting Costs for Global Blockchain Payments

TLDR: Sui’s gasless feature lets users send stablecoins onchain without holding a separate SUI gas token. Seven stablecoins are supported at launch, including USDC, USDY, AUSD, and the native USDsui token. Fireblocks backs the launch, giving institutional payment builders a friction-free stablecoin rails option. Sui has crossed $1 trillion in stablecoin transfer volume on its [...] The post Sui Launches Gasless Stablecoin Transfers, Cutting Costs for Global Blockchain Payments appeared first on Blockonomi.

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blockonomi.com Understanding RTP, Volatility, and Bonus Features in Bitcoin Slots

Bitcoin slots are packed with giant multipliers, fast bonus rounds, and huge payout potential, but most players still ignore the mechanics behind the game. RTP, volatility, and bonus features shape how often wins appear, how risky the gameplay feels, and where the biggest payouts usually come from. Understanding those three things makes it much easier [...] The post Understanding RTP, Volatility, and Bonus Features in Bitcoin Slots appeared first on Blockonomi.

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forklog.media Bitcoin miners’ shares rally after Nvidia’s results

Shares of bitcoin miners rose after the release of Nvidia’s results. The company reported revenue of $81.6bn for the first quarter of fiscal 2027—85% higher than a year earlier. Data-centre revenue reached $75.2bn. For the current quarter Nvidia guided to about $91bn in revenue, announced an additional $80bn share buy-back and raised its dividend to $0.25 a share. Markets are betting on AI infrastructure again The main catalyst for mining stocks was not Nvidia’s growth per se but confirmation of durable demand for AI infrastructure. Investors again focused on companies with access to electricity, sites for data centres and infrastructure for high-performance computing. Against this backdrop, the market began to re-rate Core Scientific, Cipher, IREN and others not merely as bitcoin miners but as potential beneficiaries of the AI-compute boom. At the close on May 20: IREN rose by about 10.4%; MARA—by 5.6%; CleanSpark—by 4.9%; Riot—by 4.4%; Cipher—by 3.6%; Core Scientific—by 1.2%. IREN share price. Source: Yahoo Finance. Nvidia’s own shares ended roughly flat after intraday swings, suggesting the market reacted more to the report’s infrastructure implications for related companies. A key driver was the data-centre segment. Nvidia’s CFO, Colette Kress, said that large companies accounted for more than half of quarterly revenue. The remainder came from ACIE, which includes cloud providers, industry and enterprise customers. Core Scientific and IREN are already pivoting to AI hosting For some miners, the shift to AI infrastructure has crystallised into concrete projects. In 2025 CoreWeave signed a definitive agreement to acquire Core Scientific, valuing it at $9bn. Core Scientific’s total potential alternative compute capacity was put at nearly 500MW. It is one of the clearest examples of miners monetising not just hashrate but land, cooling and grid connections. IREN has gone further. In March the company said it plans to expand its AI cloud to 150,000 GPUs. Deployment is expected in the second half of 2026. The firm forecasts more than $3.7bn in annual revenue. In May Nvidia and IREN also announced a strategic partnership to deploy up to 5GW of AI infrastructure. AI as a valuation driver Previously, miners’ valuations hinged chiefly on bitcoin’s price and post-halving economics. Now some enjoy a second multiple—as owners of scarce AI infrastructure. The more convincingly Nvidia demonstrates durable demand for accelerators, cloud storage and enterprise AI roll-outs, the more actively markets reprice such assets at former “pure-play” miners. Not all will benefit. Investors are prioritising players with: ready-to-use sites; substantial power capacity; a clear HPC and AI-hosting strategy; access to data-centre infrastructure. Nvidia’s strong quarter showed that AI infrastructure remains one of miners’ key development avenues alongside bitcoin mining. Not so straightforward In a conversation with ForkLog, Arseniy Grusha, founder of the Dataprana data centre in the US, said that miners’ pivot to AI does not spell the end of crypto mining. "Mining is not going anywhere, but the industry is undergoing a major transformation. Over the past five years we have seen industrialisation and the arrival of large public companies, which triggered a rally in Bitcoin network difficulty. Today giants have entered the AI market, and they need enormous capacity. The profitability figures in this sector work much better, so miners are massively refitting their data centres for new tasks. This process will only gain momentum," he said. He said refitting mining data centres for AI is very difficult and costly because entirely different builds are required. The main value miners hold is pre-allocated power and a legal grid connection. Everything else has to be built from scratch with a different approach. "The difference in costs is colossal: a bitcoin data centre averages $400,000 per MW, whereas an AI facility costs about $10m per MW. The 20–25-fold increase is due to strict requirements for 100% redundancy. AI needs full backups: massive batteries and diesel generators ready to take over the load within seconds," he noted. The design and liquid-cooling systems for GPU capacity are also more complex. All these systems require professional engineering and strict certification to ensure uninterrupted operation. He noted that the payback for traditional mining is faster. "As a business, traditional mining hosting lets you recoup investment in three to four years, which is very fast. Investments in an AI data centre cost 25 times more. Therefore their payback period reaches six to seven years," Grusha stressed. He added that mining is a niche business with high instability due to its dependence on bitcoin’s exchange rate, where contracts run for at most a couple of years. AI is a global market with long contracts. A 10-year deal with, say, Microsoft offers the stability that makes it easy to raise bank financing for such projects. Back in November 2025, MARA CEO Fred Thiel predicted tough times for miners amid rising competition and shrinking margins.

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forklog.media Quantinuum and BP Launch Quantum Subsurface Exploration

Quantinuum and energy giant BP have initiated a joint project to apply quantum computing for subsurface probing and mapping of the Earth's interior. The initiative aims to address fundamental wave physics challenges underlying seismic imaging. The firms intend to modernize methods for exploring oil and gas resources. Subsurface probing requires processing vast amounts of data and solving complex wave propagation equations. In classical computing, memory and power demands grow proportionally with spatial resolution: doubling it may require a significant increase in HPC cluster resources. Quantinuum claims that using quantum systems will achieve higher data detail at lower costs. Theoretically, adding just one qubit doubles the dimensionality of the quantum state space, enabling exponential scaling without inflating infrastructure. “This is potentially an important industrial case. We can offer a more efficient path for energy exploration, providing high data accuracy at lower computational costs compared to classical methods,” said Quantinuum President and CEO Rajib Hazra. Currently, the project is in its early stages. The parties have not disclosed specific algorithm types or exact timelines for achieving "quantum supremacy" over traditional geophysical systems. The energy sector is becoming a major testing ground for quantum technologies. In 2025, Saudi Aramco also launched the specialized quantum emulator Dammam 7Q for similar subsurface studies. Back in May 2026, Cisco's Global Director of Innovation Guy Diedrich announced that the company would prepare network infrastructure ahead of the quantum leap.

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forklog.media How to Retain Your Identity When AI Takes Over Your Job

In the past, individuals measured their worth by productivity. The advancement of artificial intelligence has led to the automation of routine tasks and altered business norms, prompting a reevaluation of our existence's purpose. ForkLog spoke with JetUp's COO, Georgy Fomchenkov, about why written code has become a burden, how to prevent neural networks from taking authorship of one's life, and what the world might look like in 2040. ForkLog (FL): Georgy, in your essay “The End of the Useful Human”, you state that AI threatens not the individual, but their social role — “the HR department form.” Why is that? Georgy Fomchenkov (G. F.): The fact is that this “historical contract” and social roles emerged literally a few hundred years ago. Before the industrial era, people defined themselves differently: “I am a father,” “I am a husband,” “I engage in creativity.” There were many facets. Over the past 200 years, we have merged with our professions: “I am a lawyer,” “I am a journalist.” Roles and people became one. When we say AI will replace us, we mean it will primarily replace these roles. The main question now is: what to do when a person wakes up, there is no work, food is available, but they are deadly bored? If people are not taught from childhood to seek inner meaning, they will find themselves empty and start looking for substitutes. FL: In your lecture “Programming in the Era of Grey Boxes”, you claim that AI has completely changed the development paradigm. G. F.: The main shift is that programmers need to adapt to working with a system they do not fully control. This is the “grey box.” Instead of understanding every line of code, a strong engineer today is one who can surround it with the right metrics and tests to prove its safety and functionality. FL: In large companies, directors are already widely imposing vibe coding on developers, although programmers complain that checking generated code takes more time. What's the catch? G. F.: Company management believes neural networks will replace everything right now. But programmers also need to adapt. The main savings today lie not in the speed of writing code but in reducing unnecessary communications. My team lead saved a lot of time simply because we let go of weak employees, and he no longer needs to spend 40% of his day on calls and mentoring. Minor tasks are now handled by AI. FL: Modern AI assistants are becoming incredibly empathetic and caring. How can a person not lose “authorship of their own life” when it is so psychologically comfortable to let the machine make decisions? G. F.: If a child is told from a young age that AI is only a helper and friend, they will grow up to be someone who relies entirely on algorithms and will always choose the easiest path. AI is like a chainsaw. I enjoy using it to cut wood, but we wouldn't give a chainsaw to a child, would we? Because they might cut off their leg. AI is a fantastic tool, but it is a tool of increased danger that needs strict regulation. Otherwise, it will simply replace other people and human life itself. FL: Let's look into the future. What will an average person's typical weekday look like in 2040? G. F.: I think people will wake up and spend two to three hours on some activity. This could be a craft, community service, or teaching — something involving people. The rest of the time will be spent on communication without any agenda and the ability to work with boredom, using it as an opportunity to be alone with oneself. The future is not about flying cars. It's about waking up in the morning and enjoying life again. However, there is one unpleasant nuance. Due to the abundance of very cheap machine intelligence, genuine interaction with a living, intelligent person may become a premium service. The conversation has been significantly shortened. Watch the full episode: Subscribe to the podcast: Apple Podcasts Spotify YouTube Deezer Yandex Music YouTube Music

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blockonomi.com Cardano (ADA) Eyes Recovery as Whales Accumulate 250M Tokens and TD Sequential Signals Buy Opportunity

Cardano (ADA) holds $0.25 support as whales buy 250M tokens. TD Sequential buy signal emerges amid mixed technicals. Key levels and targets analyzed. The post Cardano (ADA) Eyes Recovery as Whales Accumulate 250M Tokens and TD Sequential Signals Buy Opportunity appeared first on Blockonomi.

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bitcoinist.com By The Numbers: How Much Bitcoin Supply Is Exposed To Quantum Risk?

Analytics firm Glassnode has broken down how much of the Bitcoin supply is at risk due to Quantum Computing and what its composition looks like. 6.04 Million Bitcoin Is Estimated To Be Exposed To Quantum Risk In a new X article, Glassnode has talked about the part of the Bitcoin supply in circulation that’s exposed […]

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