Crypto World
Nvidia (NVDA) Shares Surpass $200 in After-Hours Trading Following Earnings Report
Yesterday, the world’s most valuable company, Nvidia, released its quarterly earnings, which exceeded expectations:
→ Earnings per share: actual = $1.62 (forecast = $1.53);
→ Revenue: actual = $68.13 billion (forecast = $66.13 billion).
Sentiment was further supported by the chipmaker’s guidance for first-quarter revenue above market estimates, reflecting continued heavy spending by major technology companies on artificial intelligence processors.
As the Nvidia (NVDA) share price chart shows, the stock rose above the psychological $200 level in after-hours trading, but subsequently pulled back, which may point to excessive optimism and aggressive selling pressure.
Technical Analysis of the Nvidia (NVDA) Chart
On 10 February, when analysing NVDA price movements, we:
→ reaffirmed the validity of the long-term ascending channel (which remains intact) and highlighted the importance of the $192.50 resistance level;
→ suggested that the initiative was on the side of the bulls, who were aiming to resume the long-term uptrend towards the psychological $200 mark.
Since then:
→ NVDA formed a pullback from the указанного resistance level towards the 50–61.8% Fibonacci retracement zone;
→ on 17 February, it resumed its advance, supported by a short-term ascending channel (marked in black), ultimately reaching $200.
Overall, the picture appears constructive, and the next potential target for NVDA may be the median line of the long-term channel. However, it is worth recalling the recent experience of other technology giants whose shares rallied briefly after earnings before turning lower (for example, Meta). The sharp reversal from above the $200 mark lends weight to this scenario.
Therefore, if bulls are to confirm control over NVDA shares, it is important for the price to hold above the $192.50 level.
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The European Central Bank (ECB) is seeking industry experts to contribute to workstreams focused on how the digital euro central bank digital currency would function across ATMs, payment terminals and acceptance infrastructure.
In an announcement published Wednesday, the ECB opened applications for two workstreams under its Rulebook Development Group (RDG), covering implementation specifications for ATM and terminal providers, as well as certification and approval frameworks for payment solutions.
The initiative revolves around defining how a potential digital euro would integrate with existing payment systems and hardware, including support for offline transactions and interoperability with standards used across Europe.
The move signals a deeper shift from policy design toward implementation planning, with the ECB seeking input on how a digital euro would work across ATMs, payment terminals and related infrastructure, including offline use and existing technical standards.
Related: ECB reveals Appia roadmap for central bank money in Europe’s tokenized markets
Workstreams target ATM integration, certification frameworks
According to the ECB, one workstream will focus on developing implementation specifications for ATM and terminal providers. This includes communication technologies, offline functionality and the reuse of existing payment standards.
The second workstream will develop proposals for testing, certification and approval processes for payment solutions and infrastructure used by payment service providers within the digital euro ecosystem.
Related: Stablecoins could weaken bank lending and monetary policy in Europe: ECB
The workstreams will report to the RDG, which includes representatives from merchants, payment service providers and consumers.
The ECB said selected experts are expected to provide technical input to support the development of a standardized rulebook.
ECB targets 2027 digital euro pilot
The ECB previously outlined plans to start selecting European Union-licensed payment service providers (PSPs) ahead of a 12-month digital euro pilot expected to start in the second half of 2027.
On Feb. 18, ECB Executive Board Member Piero Cipollone said the pilot would involve a limited number of merchants, Eurosystem staff and PSPs.
While the developments point toward continued progress on a digital euro, the ECB said a final decision on whether to issue it will only be taken after the relevant legislation is adopted.
Magazine: The debate over Bitcoin’s four-year cycle is over: Benjamin Cowen
Developers of OpenClaw, a popular open-source AI project, are being targeted by phishing attacks on GitHub with fake token rewards designed to lure users into connecting crypto wallets.
Cybersecurity firm OX Security reported the scam on Wednesday and said it had found no victims so far. OpenClaw creator Peter Steinberger separately warned on X that any emails claiming association with the project are scams, urging users to only visit the official site. “We would never do that. The project is open source and non-commercial,” Steinberger said.
According to OX Security, attackers created fake GitHub accounts that posted messages in repositories they controlled, tagging developers to increase visibility. The posts claimed that recipients had won $5,000 worth of “CLAW,” a non-existent cryptocurrency falsely associated with the project, in an attempt to trick recipients into visiting a cloned website.
The campaign directed users to a cloned website resembling OpenClaw’s official page and prompted them to connect crypto wallets, a common phishing tactic used to steal credentials or secure malicious approvals.
Social media reports suggest that developers were aware of the fraud, with many labeling the campaign as a scam immediately.
OpenClaw creator warned users project would never launch a token
The attack comes months after the OpenClaw creator warned users that the project would never launch a cryptocurrency, and that any token claiming association with him was fraudulent.
“I will never do a coin. Any project that lists me as coin owner is a scam,” Steinberger said in an X post in January.
The phishing campaign marks another attempt by attackers to capitalize on OpenClaw’s viral popularity.
Launched in November 2025, OpenClaw offers a free, open-source autonomous AI agent that runs locally on computers to manage files, software and browser tasks via chat platforms like WhatsApp or Telegram.
Related: Crypto hacks fall to $49M in February as attackers shift to phishing scams
The platform received high GitHub engagement and active social communities, amassing more than 465,000 subscribers on X in the months following its launch.
In a move to fight scams, the OpenClaw project also confirmed a ban on Bitcoin (BTC) and crypto discussions in its official Discord channel in February.
Magazine: 6 massive challenges Bitcoin faces on the road to quantum security
- Institutional demand and ETFs are steadily supporting Solana’s outlook.
- SOL’s price is consolidating, with $115 as a key breakout level to watch.
- High liquidity and leverage may trigger sharp moves soon.
Solana (SOL) has entered a decisive phase where market structure and fundamentals are pulling in different directions.
The SOL price is currently hovering around the $89 level after a period of weakness, and it continues to show signs of building pressure beneath the surface.
This kind of setup often appears before a larger move, especially when liquidity and demand begin to align.
On the broader crypto market, short-term volatility has been driven by profit-taking, shifting sentiment, and changes in leverage across derivatives markets.
At the same time, long-term signals are quietly improving in the background.
Institutional demand and regulatory clarity reshape the outlook
One of the strongest developments supporting Solana is the growing clarity around the regulatory treatment of proof-of-stake assets.
This shift has opened the door for structured financial products tied to Solana. It has also made it easier for institutional investors to participate without directly holding the asset.
The introduction and expansion of exchange-traded products have become a key driver of demand.
These products create a consistent inflow of capital that is less reactive to short-term price movements.
This type of demand tends to accumulate gradually and can support price over time, even during periods of weakness.
At the same time, Solana’s ecosystem continues to expand in meaningful ways.
Stablecoin liquidity on the network has reached record levels, which signals growing participation in decentralized finance (DeFi) and trading activity.
High stablecoin supply often indicates that capital is waiting on the sidelines, ready to deploy when conditions improve.
Derivatives markets are also playing a major role.
Solana’s open interest shows that traders are becoming more active and increasing their exposure.
This creates a more dynamic environment, but it also increases the likelihood of sharp price swings in either direction.
Technical analysis points toward a key breakout zone
From a technical perspective, Solana has been consolidating after a recent rejection near resistance.
The price action suggests that buyers and sellers are currently in balance, with neither side fully in control.
This type of consolidation often precedes a breakout when momentum eventually builds.
The $96.47 level stands out as a critical zone to watch since it represents a region where previous resistance has emerged, and a break above it could signal renewed bullish momentum.
If Solana manages to close above this level with strong volume, it could open the door for a more sustained upward move.
On the downside, the immediate support sits around $77.
A failure to hold this zone could lead to further downside pressure and delay any breakout attempt.
Key Takeaways
- FTX Recovery Trust has announced a $2.2 billion creditor distribution scheduled for March 31, 2026
- The upcoming payment represents the fourth major disbursement following the platform’s 2022 failure, pushing cumulative payouts to approximately $10 billion
- Payment percentages vary by creditor classification, ranging from 5% to 18%, with certain groups achieving full claim recovery
- Numerous claimants argue they remain undercompensated due to distributions calculated using cryptocurrency valuations from 2022 rather than current market rates
- A subsequent distribution is confirmed for May 29, 2026
The bankruptcy trust managing FTX’s asset liquidation has announced plans to proceed with its next significant creditor disbursement following the cryptocurrency platform’s catastrophic failure in November 2022.
BREAKING:
FTX just announced its fourth distribution of $2.2 billion to creditors on March 31st.
Money to flow back in Crypto
pic.twitter.com/8kLdi2887H
— Crypto Rover (@cryptorover) March 18, 2026
According to official statements, the FTX Recovery Trust will release $2.2 billion to qualifying claimants on March 31, 2026. Recipients can expect to receive their allocated funds within one to three business days through designated payment processors including BitGo, Kraken, or Payoneer.
This upcoming disbursement marks the fourth installment under the exchange’s Chapter 11 reorganization framework. While all distributions are denominated in United States dollars, the payment service providers offer beneficiaries the opportunity to exchange their proceeds into cryptocurrency if desired.
The allocation percentages differ across creditor categories for this distribution cycle. Claims from Dotcom customers will receive 18% of their allowed amounts, whereas US customer claims are slated for 5%. Both general unsecured claimants and digital asset loan creditors will see 15% payments. A special classification known as “convenience claims” will achieve a combined 120% recovery rate.
Following this distribution round, multiple creditor classifications will achieve complete claim satisfaction. Specifically, US customers categorized under class 5B, along with claimants in classes 6A and 6B, will reach 100% recovery of their approved claim amounts.
The Controversy Over Valuation Methodology
Notwithstanding the billions distributed to date, numerous claimants maintain they have not received adequate compensation. The primary source of dissatisfaction stems from the calculation method: distributions are computed using cryptocurrency valuations from the November 2022 bankruptcy filing date.
During that period, Bitcoin was valued at approximately $16,871 while Ether traded near $1,258. Both digital assets have appreciated substantially since then, resulting in cryptocurrency holders receiving considerably less purchasing power than their original holdings would currently command.
“FTX creditors are not whole,” stated Sunil Kavuri, an advocate representing creditor interests.
The initial payment wave delivered $1.2 billion in February 2025. A substantially larger $5 billion distribution followed in May 2025, with an additional $1.6 billion disbursed in September 2025. After the March 31 payment completes, aggregate distributions will approximate $10 billion.
Planning continues for a fifth distribution wave scheduled for May 29, 2026. Additionally, the trust has disclosed that preferred equity stakeholders will receive their inaugural distributions on that same date, with April 30 established as the qualification record date. These stakeholders must satisfy ownership certification requirements, complete know-your-customer verification procedures, and submit necessary tax documentation to receive payment.
The Current Status of Sam Bankman-Fried
Sam Bankman-Fried, who founded FTX, received a guilty verdict in 2023 on seven criminal counts encompassing fraud and conspiracy charges, resulting in a 25-year imprisonment sentence.
He has maintained social media activity through a proxy account on X, frequently weighing in on United States political developments. Some analysts interpret this activity as potential groundwork for seeking presidential clemency, although President Trump indicated in January that he would not entertain such a request.
As of March 19, 2026, Bankman-Fried remains incarcerated at Federal Correctional Institution Terminal Island located near Los Angeles. A recent court document filed by his mother indicated that a facility transfer is anticipated within the next several weeks.
The post FTX Bankruptcy Trust Announces $2.2 Billion Creditor Payment for March 2026 appeared first on Blockonomi.
Key Takeaways
- A falling wedge formation is developing on DOGE’s daily chart, a pattern that often signals significant price action ahead.
- Immediate resistance levels are concentrated between $0.105 and $0.11, coinciding with important Fibonacci levels.
- The Relative Strength Index has climbed out of oversold conditions and is nearing neutral territory with modest bullish momentum.
- The 50-day exponential moving average presents a critical overhead obstacle, and a decisive reclaim would signal a potential trend reversal.
- As of March 18, DOGE was hovering around $0.094, reflecting a nearly 5% decline over the previous 24-hour period.
Dogecoin continues to consolidate in the vicinity of $0.10, forming a tightening pattern that has caught the eye of market participants. While historical precedent suggests this setup could lead to significant movement, the immediate outlook remains uncertain.
Analysis of the daily timeframe reveals DOGE is developing a classic falling wedge configuration. This technical structure occurs when an asset creates progressively lower peaks while the troughs converge upward. As this price channel narrows, it typically precedes a directional breakout. Long-term holders navigating this decline are anticipating an upward resolution.
The pump on $DOGE should trigger a very nice meme season, historically. pic.twitter.com/lMCUCo34aV
— ray
(@moonbag) March 18, 2026
This compression phase emerged following a pullback from earlier strong performance. Throughout this period, Dogecoin has established descending highs with diminishing selling intensity, indicating potential exhaustion among bearish market participants.
Overhead Resistance Remains Intact
The initial barrier blocking any meaningful bounce lies within the $0.105–$0.11 range. This zone aligns precisely with the 0.5 through 0.618 Fibonacci retracement measurements derived from the latest downward swing. Additionally, this region intersects with clustered short-duration exponential moving averages, creating a concentrated resistance barrier.
Dogecoin has repeatedly approached the $0.10 threshold throughout the past twelve months. On each occasion price pushed above this mark, selling pressure reemerged and drove values lower. Technical observers note this repeated rejection has eroded $0.10’s credibility as dependable support.
A decisive breach above $0.11 could pave the way toward $0.116, with $0.136 as the subsequent target. However, current positioning remains beneath the 50-, 100-, and 200-day moving average indicators, maintaining the prevailing bearish structure.
On March 18, Dogecoin was changing hands near $0.094, reflecting a 4.84% intraday decline.
Breaking the 50-Day EMA Remains Crucial
Even should DOGE successfully navigate past $0.11, the 50-day exponential moving average looms overhead and has shadowed the downward trajectory throughout the correction period. This dynamic indicator continuously adjusts with price action, making any breakthrough increasingly difficult to maintain.
From a historical perspective, successfully recapturing the 50-day EMA has consistently marked the initial legitimate indication of a trend transformation for DOGE. Absent this technical confirmation, market observers view any advance beyond $0.10 as temporary relief rather than meaningful reversal.
The Relative Strength Index has rebounded from deeply oversold readings and currently hovers near the neutral midpoint with modest bullish characteristics. The MACD indicator is similarly positioning for a possible bullish intersection, signaling that downward pressure may be waning.
Current market data confirms DOGE maintains its position above the longer-duration support foundation at $0.086, which marked the most recent localized bottom preceding the current stabilization attempt.
The post Dogecoin (DOGE) Forms Critical Falling Wedge Pattern as Traders Watch $0.10 Level appeared first on Blockonomi.
As AI promises to dramatically compress costs and reshape production, a provocative narrative has taken hold: in an era of AI abundance, virtually everything could become free. Proponents argue that autonomous factories, vast automation, and near-limitless solar energy could push marginal costs toward zero for many goods and services. Yet a closer look at physics, energy economics, and the architecture of infrastructure reveals a more nuanced path from abundance to broad access — one that depends on the ownership and scale of the systems that actually run things.
Opinion by: Merav Ozair, PhD, blockchain and AI senior advisor.
Key takeaways
- Near-zero marginal costs for many digital and even some physical goods are plausible in an AI-driven economy, but energy and AI infrastructure remain the real bottlenecks that prevent a universal “free” regime.
- AI factories — specialized, high-performance data centers and automation platforms — would drive productivity gains, yet they also concentrate wealth and governance power in the hands of a few owners of compute, models, and access.
- Investments in cheap energy, including discussions around fusion and large-scale solar, are central to determining whether abundance can scale. Fusion is still experimental and decades away from commercial viability; fission carries safety and waste concerns, while current grids struggle to support AI-scale workloads.
- Moon-based solar energy and Atomically Precise Manufacturing are presented as pathways to radically reduce costs, but they require unprecedented upfront investment and face substantial technical and logistical hurdles before they could redefine energy economics.
- Even if services become cheaper or “free,” centralized infrastructure risks creating a “soft prison” where control over data, speech, and economic conditions sits with a handful of gatekeepers.
The physics of abundance: why costs won’t disappear
The argument for abundance rests on three pillars: automation that replaces labor, advanced manufacturing and AI-driven logistics that minimize waste and inventory, and energy abundance that makes electricity cheap enough to power widespread production. In combination, these forces could push the marginal cost of many goods toward zero, especially for digital products and services that are replicable at scale.
Automation and AI distribution technologies enable near-continuous production cycles, while innovations such as robotics, 3D printing, and smart logistics reduce the need for extensive human labor and physical stockpiles. Yet even with these advances, energy remains the substrate on which everything else runs. If energy costs drop dramatically, many costs downstream fall with it; if energy remains constrained, the economics of “free” goods become bound to the price of power.
The notion that everything will be free hinges on the assumption that infrastructure can be built and maintained at scale with minimal friction. In practice, the capital outlay for AI factories — data centers whose temperature, latency, and throughput must be precisely managed — is substantial. The article notes that AI infrastructure is becoming an industrialized process, with specialized facilities designed to manufacture intelligence by transforming data into trained models and tokens, rather than merely storing information. The stakes are high: productivity and profits rise as AI amplifies efficiency, but the winners will be those who own and control the core infrastructure.
For those watching the broader technology ecosystem, the emphasis on AI factories and the associated economies of scale helps explain the ongoing shift in valuations and strategic bets toward cloud giants, semiconductor leaders, and hyperscale compute operators. The dynamic resembles earlier industrial eras, where the capacity to own and optimize the underlying engine of production — in this case, AI compute and models — determines who captures outsized gains.
AI factories and the wealth concentration dilemma
The piece frames AI infrastructure as the next industrial revolution, likening it to a pivotal shift in productivity that could dwarf past efficiency gains. Nvidia, AWS, and SpaceX are cited as major players building the backbone of AI systems, with experts noting that productivity and profits will rise as AI-enabled processes scale. The comparison highlights a familiar pattern: as with previous waves of industrial automation, the entities that run the most capable AI factories will likely command outsized profits and influence over how value is allocated.
Structural concentration presents both opportunity and risk for investors and policymakers. On the one hand, leading AI infrastructure providers could offer compelling, long-duration growth narratives grounded in repeated optimization of training, inference, and data workflows. On the other hand, heavy concentration could squeeze competition and shape the distribution of benefits from AI-driven abundance. The article points to a potential divergence between those who own the technology stack — chips, data centers, and AI platforms — and the broader population that might otherwise share in the fruits of increased productivity.
The discussion extends beyond the corporate balance sheet to geopolitical dynamics. The piece notes China’s strategic use of renewable energy to power large-scale AI deployments, underscoring a global race to align energy, data centers, and AI capacity. In such a landscape, policy choices about energy deployment, data sovereignty, and cross-border data flows will matter as much as the physics of energy itself.
Energy frontiers: cheap energy, not cheap electricity
As the article emphasizes, the energy question is the real hinge on the road to abundance. If energy becomes near-free, the economics of AI factories and automated production improve dramatically. If energy remains expensive or constrained, the margin for “free” goods narrows, even with sophisticated automation.
The energy mix under consideration includes traditional options such as nuclear fission, renewables, and potentially future fusion. Fission remains a mature technology, but it comes with long-term waste challenges and proliferation concerns. Fusion, often heralded as the ultimate energy source, remains largely in the research phase and is widely viewed as decades away from commercialization. The current reality is that while fusion could theoretically unlock abundant, cleaner power, it is not yet a practical substitute for scalable, low-cost electricity today.
The piece highlights an ongoing debate: can scalable, cheap energy emerge quickly enough to unlock true abundance, or will the path require a long investment horizon and a gradual shift in how energy and AI infrastructure are financed and deployed?
Moon-based energy and the road to distributed manufacturing
The author surveys Elon Musk’s lunar energy ambitions as part of a broader argument about expanding energy frontiers. The vision here is ambitious: deploying solar power on the Moon to fuel AI infrastructure back on Earth could, in theory, reduce energy costs to near-zero. The envisioned approach involves building autonomous systems — including AI-enabled robots and manufacturing facilities — on the lunar surface, with a network of support from Earth-based systems such as Starlink and other space-oriented capabilities.
Several hurdles accompany this radical idea. The logistics of launching, constructing, and maintaining facilities in a vacuum, coupled with the need for precise manufacturing of advanced AI hardware (potentially via Atomically Precise Manufacturing, or APM), create a formidable capital and technical barrier. Even if lunar fabrication becomes feasible, the question remains who will fund and govern such infrastructure, who will benefit from its outputs, and how the resulting abundance will be distributed.
Nevertheless, the argument that off-Earth energy and materials could eventually reshape cost structures is provocative. If lunar energy and asteroid-derived resources come online at scale, the economics could shift in favor of much more expansive AI deployment and automated production networks. The potential payoff could be immense — potentially extending the reach of AI-enabled abundance far beyond terrestrial limits — but the path is uncertain and expensive.
The soft prison of “free”: control, data, and autonomy
A central warning runs through the discussion: even when access to goods and services becomes cheaper or effectively free, the underlying infrastructure may be highly centralized. Owning the architecture — from data centers to energy supply to manufacturing facilities — implies control over who gets access, under what conditions, and at what price, if any. In a world where “free” is possible primarily because someone else is paying the bill, citizens and users risk trading autonomy for security or convenience. The article argues that many so-called free digital services come at the cost of surveillance, profiling, and behavioral manipulation, turning attention into a form of currency and data into leverage over choices and governance.
In a future of AI abundance, centralization could determine distribution terms, including which individuals or groups enjoy access and under what rules. The blunt reality is that a trillion-dollar opportunity could end up privileging the owners of the centralized infrastructure while leaving broader society with less say over how abundance is allocated. The phrase “if something is free, you are the product” takes on new resonance when the products are self-sovereignty and data rights in a highly automated economy.
Opinion by: Merav Ozair, PhD, blockchain and AI senior advisor.
What to watch next
The coming years will test whether abundance remains a centralized windfall or evolves into a more distributed model where access is genuinely broad-based. For investors and builders, the signals to monitor are energy policy developments, the pace of AI infrastructure rollouts, and regulatory discussions around data rights, space-based manufacturing, and cross-border data flows. The dialogue around Moon-based energy, fusion progress, and the economics of AI factories will shape how quickly and how equitably AI abundance translates into real-world benefits.
As the debate unfolds, readers should follow updates from leading AI and energy initiatives, including coverage of the broader energy transition and the evolving landscape of AI hardware and data-center strategy. The tension between scalable abundance and central control will likely define the next phase of crypto, AI, and tech ecosystem investments.
Hive Digital Technologies announces an AI cloud milestone in Paraguay, describing the development as a step in expanding its cloud capabilities for AI and research. The notice also references Columbia University LLM research spanning New York to Asuncion, indicating the initiative may involve cross-border collaboration or access to regional compute resources. While the full details are not included here, the announcement highlights a shift in the company’s cloud footprint in an important Latin American market. Readers should watch for additional disclosures on scope, participants, and practical implications as the company provides more specifics.
Key points
- AI cloud milestone reached in Paraguay, as described by the company.
- Release references Columbia University LLM research connecting New York and Asuncion.
- Statement implies cross-border compute resources linked to AI research.
Why it matters
The milestone matters because it signals progress in cloud-enabled AI and potential regional access for researchers and institutions. If the initiative enables cross-border collaboration with Columbia University, it could influence how researchers plan experiments, require infrastructure, and coordinate efforts across North and South America. The public details are limited, but the move may shape attention on AI cloud deployments in Latin America and may guide investors and developers monitoring compute availability and academic partnerships in the region.
What to watch
- Clarification of the milestone’s scope, including services and capacity.
- Any partners or institutions involved beyond Columbia University.
- Upcoming disclosures or timelines for broader availability.
Disclosure: The content below is a press release provided by the company or its PR representative. It is published for informational purposes.
HIVE Digital Technologies Reaches AI Cloud Milestone in Paraguay, Powers Columbia University LLM Research from New York to Asunción
This news release constitutes a “designated news release” for the purposes of the Company’s prospectus supplement dated November 25, 2025 to its short form base shelf prospectus dated October 31, 2025.
San Antonio, Texas, March 18, 2026 — HIVE Digital Technologies Ltd. (TSX.V: HIVE) (Nasdaq: HIVE) (FSE: YO0) (BVC: HIVECO) (the “Company” or “HIVE”), a global leader in sustainable digital infrastructure and AI compute, today announced that its BUZZ AI Cloud platform in Asunción, Paraguay is now operational with live GPU compute nodes serving workloads on the platform by an academic research team from Columbia University in New York.
The Asunción deployment is the first GPU cluster to go live under HIVE’s phased strategy to layer AI and high-performance computing (“HPC”) infrastructure onto its existing renewable energy footprint in Paraguay. The cluster is hosted within a Tier-III data center operated by Paraguay’s largest telecommunications provider and is purpose-built to handle AI model training, inference, and computationally intensive research workloads.
HIVE expects to use the results of the cluster to establish the proof of concept for AI compute between New York and Asuncion. From this proof-of-concept, the Company expects to build future Tier III data center capacity in Yguazú, with infrastructure upgrades required to provide high-availability, low-latency GPU AI cloud compute from Paraguay. Paraguay’s hydroelectric generation capacity and the telecom partner’s nationwide fiber backbone provide the energy and connectivity foundation to support that growth. As regional South American institutional and commercial demand for HPC and AI Cloud develops, the pace and scale of the Company’s Tier III expansion in Paraguay will be guided by customer adoption and the Company’s capital position.
Columbia University Research Team Goes Live on BUZZ Cloud
The Columbia University team is using BUZZ Cloud GPU infrastructure to conduct research focused on large language model (“LLM”) pre-training, including end-to-end training of foundation models. The research team’s use of BUZZ Cloud infrastructure is a non-commercial research engagement intended to generate performance data that will inform the Company’s roadmap for scaling commercial HPC capacity in Paraguay. The team is developing optimization algorithms that improve model quality while reducing computational and memory costs, evaluating their methods using standard training metrics such as loss and perplexity, as well as downstream benchmarks.
Their work begins with small- to medium-scale models (0.2B to 2B parameters, including GPT-2-class and LLaMA-style architectures) and is scaling to larger models (8B+ parameters) using multi-GPU distributed training frameworks. The team’s recent focus includes improving and understanding Muon and MuonClip, the latter of which has been used in training industry-level LLMs such as Kimi K2. In early experiments, Muon has shown roughly 1.3x greater efficiency¹ than standard baselines by exploiting the structure of model weights. The team’s LLM reasoning research was recently accepted for publication by Transactions on Machine Learning Research (“TMLR”), a peer-reviewed journal hosted by the Journal of Machine Learning Research (“JMLR”).
Having the Columbia University research team run active LLM training jobs from New York on GPU infrastructure in Asunción provides HIVE with real-world performance data across latency, throughput, and workload management. The Company intends to use these findings to shape its roadmap for scaling HPC capacity in Paraguay, with initial deployment targets through 2027.
Paraguay: The Western Hemisphere’s Next Potential AI Infrastructure Frontier
Paraguay’s President Santiago Peña earned his Master’s degree in Public Administration from Columbia’s School of International and Public Affairs (“SIPA”) in 2003, creating a notable link between the institution whose researchers are now training LLMs on BUZZ Cloud and the nation whose clean energy powers it.
Management believes large-scale AI compute requires two resources Paraguay can deliver in abundance: reliable, low-cost electricity and fiber connectivity with the bandwidth and security to move data across long distances without degradation. HIVE’s existing 300-megawatt (“MW”) renewable power base, sourced from hydroelectric generation, combined with the telecom partner’s enterprise-grade network infrastructure, creates a platform that can serve demanding workloads originating outside Paraguay’s borders, including from North American institutional clients.
Paraguay’s economy has posted strong growth in recent quarters, backed by stable governance and a policy environment that has welcomed foreign infrastructure investment. HIVE believes those conditions, paired with the country’s distinctive energy profile and expanding digital connectivity, position the country to play a growing role in South America’s AI and high-performance computing future.
Strategic Outlook from HIVE Leadership
Frank Holmes, Executive Chairman of HIVE, stated, “HIVE has 300 MW of renewable hydroelectric power operational in Paraguay, with another 100 MW in development. Before scaling an AI factory, it’s prudent to beta test. This deployment marks our first live GPU compute workload in Asuncion and provides the real-world performance data we need to guide our Tier-III expansion roadmap. We started in Paraguay with Bitcoin mining. Layering AI and HPC infrastructure onto that existing energy base is the next phase, and this cluster is the first step in validating that approach.”
Aydin Kilic, President and CEO of HIVE, added, “We are taking a meaningful and impactful approach to developing a solution to being a leader of GPU AI compute and HPC in South America. Having a research team from Columbia University running LLM training workloads on HIVE’s BUZZ Cloud infrastructure in Asunción is a powerful validation of what we are building. We will use this data to validate our proof of concept for GPU Cloud AI compute from New York to Asunción and to build our roadmap for large-scale HPC capacity in Paraguay by 2027.”
About HIVE Digital Technologies Ltd.
Founded in 2017, HIVE Digital Technologies Ltd. is the first publicly listed company to mine digital assets powered by green energy. Today, HIVE builds and operates next-generation Tier-I and Tier-III data centers across Canada, Sweden, and Paraguay, serving both Bitcoin and high-performance computing clients. HIVE’s twin-turbo engine infrastructure-driven by hashrate services and GPU-accelerated AI computing-delivers scalable, environmentally responsible solutions for the digital economy.
For more information, visit hivedigitaltech.com, or connect with us on:
X: https://x.com/HIVEDigitalTech
YouTube: https://www.youtube.com/@HIVEDigitalTech
Instagram: https://www.instagram.com/hivedigitaltechnologies/
LinkedIn: https://linkedin.com/company/hiveblockchain
On Behalf of HIVE Digital Technologies Ltd.
“Frank Holmes”
Executive Chairman
For further information, please contact:
Nathan Fast, Director of Marketing and Branding
Frank Holmes, Executive Chairman
Aydin Kilic, President & CEO
Tel: (604) 664-1078
¹ Claim of efficiency relates to research methods
Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this news release.
Forward-Looking Information
Except for the statements of historical fact, this news release contains “forward-looking information” within the meaning of applicable Canadian securities laws, which may include but is not limited to statements regarding: the performance of the BUZZ AI Cloud platform in Asunción, Paraguay; the ability to replicate and scale this performance; the benefits and advantages of power supply and Internet connectivity in Paraguay, the reorientation of the Swedish facilities to HPC standards; the expected deployment, timing, capacity, and expansion of BUZZ HPC’s GPU-accelerated infrastructure in general; and any other future-oriented statements. Forward-looking information is based on current expectations, estimates, forecasts, and projections, as well as management’s beliefs and assumptions, including that the benefits of the operations in Paraguay can be replicated and scaled, infrastructure will be deployed on the expected timelines and within budget across all sites, demand for AI computing will continue to grow, and regulatory requirements will remain consistent with current expectations, and other related risks as more fully set out in the Company’s disclosure documents under the Company’s filings at www.sec.gov/EDGAR and www.sedarplus.ca.
Forward-looking information involves known and unknown risks, uncertainties, and other factors that may cause actual results, performance, or achievements to differ materially from those expressed or implied by such forward-looking information. Such factors include, but are not limited to the following risks: deployment timelines may change; costs may exceed expectations; performance expectations may not be achieved; demand for AI infrastructure may be lower than anticipated; partnerships or regulatory approvals may not materialize as expected; and the risk factors described in the Company’s continuous disclosure documents available on SEDAR+ at www.sedarplus.ca. Readers are cautioned not to place undue reliance on forward-looking information. The Company disclaims any obligation to update or revise any forward-looking information, whether as a result of new information, future events, or otherwise, except as required by law.
Crypto World
GitHub phishing scam uses OpenClaw branding to lure developers into wallet drain: report
Crypto scammers are using OpenClaw’s popularity to target developers via a new GitHub phishing campaign designed to drain their crypto wallets.
Summary
- Attackers are impersonating OpenClaw on GitHub, creating fake accounts and tagging developers with messages offering $5,000 in $CLAW tokens.
- Victims are directed to a cloned website where a malicious wallet connection prompt is used to trigger wallet draining.
- OX Security says the campaign uses obfuscated code and targeted tactics, though no confirmed victims have been reported so far.
A report published by platform OX Security detailed an active phishing campaign targeting OpenClaw via a coordinated effort on GitHub, where attackers create fake accounts, open issue threads in attacker-controlled repositories, and tag dozens of developers.
One such post detailed how developers were approached with messages claiming they had been selected for an OpenClaw allocation, telling them they had won $5,000 worth of $CLAW tokens, and subsequently directing them to a fake website that closely resembles openclaw.ai.
On the website, victims are presented with the option of connecting their wallets through a malicious “Connect your wallet” prompt that eventually leads to wallet draining.
The campaign has surfaced as OpenClaw has become a more visible project, especially after OpenAI CEO Sam Altman announced that OpenClaw creator Peter Steinberger would lead its push into personal AI agents. OpenClaw has since transitioned into a foundation-run open source project.
Researchers at OX Security said attackers may be using GitHub’s star feature to identify users who have starred OpenClaw-related repositories, thereby making it appear more targeted and credible.
Scammers were seen using a file named “eleven.js” to embed wallet-stealing code within obfuscated JavaScript. Once triggered, scammers used a built-in “nuke” function that wipes traces from the browser’s local storage to avoid detection and continue tracking activity.
The malware tracks user actions via commands such as PromptTx, Approved, and Declined, sending encoded data, including wallet addresses and transaction values, to a command and control server.
Researchers have identified at least one wallet address believed to be linked to the attackers that was used to receive stolen funds. So far, there has been no confirmation of victims.
OX Security has urged users to block token-claw[.]xyz and watery-compost[.]today, and avoid connecting crypto wallets to newly surfaced or unverified sites.
In the meantime, OpenClaw creator Peter Steinberger has enforced a strict anti-crypto policy. Any mention of cryptocurrencies across the project’s Discord server can lead to removal.
The decision stems from a scam that surfaced during its rebrand, where attackers promoted a Solana-based token called $CLAWD that surged to approximately $16 million in market capitalization before falling over 90% after Steinberger denied any involvement.
There are blockchain projects… and then there are ecosystems trying to rebuild entire industries from scratch.
Nasun falls firmly into the second category—and it’s not being subtle about it.
Built as a Move-based Layer-1, Nasun isn’t chasing trends. It’s engineering a unified foundation where finance, artificial intelligence, and entertainment don’t just coexist—they reinforce each other.
And unlike the usual “coming soon” promises?
Nasun already has three live pillars advancing the vision: Pado, Baram, and Gen Sol.
The Big Idea: One Network, Three Power Engines
Nasun isn’t a single product—it’s a coordinated system:
-
💸 Pado → A unified DeFi super-platform
-
🧠 Baram → Auditable AI execution and settlement layer
-
🎬 Gen Sol → A cinematic sci-fi universe with games, films, and IP expansion
Together, they form something rare in Web3: a vertically integrated ecosystem with real usage across multiple industries.
The Strategic Edge: Why South Korea Matters
Nasun is building from a highly intentional launch point: South Korea.
-
Over 16 million crypto users
-
Around $70 billion in digital assets are held
-
Yet… no Korean-native decentralized trading venue
-
And no compliant self-custody infrastructure
That’s not a small gap—it’s a massive, underserved market.
Nasun isn’t just entering the space. It’s targeting a clear, high-value vacuum.
Let’s be honest—modern DeFi feels like juggling knives while blindfolded.
Multiple wallets. Scattered liquidity. Endless tab-switching.
It’s powerful… but inefficient.
Pado flips the entire experience on its head.
The Core Breakthrough: One Account, One Risk Engine
Instead of splitting your funds across protocols, Pado gives you:
-
One unified onchain account
-
Shared collateral across all positions
-
A single risk engine evaluating your entire portfolio
No more:
Everything lives in one place—and actually works together.
What Makes Pado Different?
🔹 Portfolio-Level Risk
Your entire financial state is evaluated holistically, not per app.
Translation: smarter capital usage, fewer nasty surprises.
🔹 Deterministic Risk Enforcement
No shady liquidations. No hidden rules.
Just transparent, onchain logic applied equally to everyone.
🔹 Yield on Collateral
Your funds don’t sit idle.
They earn yield while actively backing trades—a feature usually reserved for centralized exchanges.
Performance Meets Precision
Powered by Nasun’s parallel execution Layer-1, Pado delivers:
-
Sub-second finality
-
Cross-margin across spot, perps, and prediction markets
-
Protocol-native conditional orders (TP/SL, trailing stops)
And yes—no duct-taped off-chain systems.
AI + Social = Execution That Actually Moves Fast
Pado doesn’t stop at trading.
AI Intent Solvers
Instead of clicking through complexity, you just express intent:
“Open a hedged position with minimal risk”
AI agents handle the execution across markets.
Embedded Social Layer
It’s as if trading platforms and social media had a very productive child.
Everything in One Place
Inside Pado, you already get:
-
Spot Trading (CLOB orderbook + advanced charts)
-
Perpetual Futures (up to 20x leverage)
-
Prediction Markets (event-based trading)
-
Weekly Lottery (onchain randomness)
And coming soon:
Baram: AI You Can Actually Trust
Here’s the uncomfortable truth:
Most AI systems today are black boxes.
Baram changes that.
The Promise: Fully Auditable AI Execution
Every action in Baram is:
-
Authorized
-
Executed
-
Settled
-
Traced
No ambiguity. No hidden processes.
Built for Trust (Not Just Marketing)
Hardware-Level Privacy
Escrow-Based Payments
Stake-Based Accountability
-
Executors stake NSN
-
Misbehavior = slashing
Immutable Audit Trail
Every AI action creates a permanent, onchain record
Why This Matters
Baram isn’t just for devs—it’s for:
-
Enterprises needing compliance
-
Regulators demanding transparency
-
Builders who want provable AI execution
It’s AI that doesn’t say “trust me.”
It says: “verify everything.”
Gen Sol: Web3 Entertainment That Actually Feels Alive
Most Web3 entertainment projects feel like tech demos with lore taped on.
Gen Sol does the opposite.
It starts with a story first—and builds everything around it.
A Living Sci-Fi Universe
Gen Sol spans:
-
Feature films
-
Streaming series
-
Multiplayer games
-
Merchandise
All connected through one cohesive narrative universe.
At the center of it all?
Spectra—a powerful, dangerous resource that fuels the galaxy… and everyone’s obsession.
SPECTRA: The Game
A multiplayer PvP shooter built in Unreal Engine with a brutal core loop:
Crash. Compete. Escape… or die.
-
Teams fight to collect Spectra
-
The environment actively tries to kill everyone
-
More loot = higher rewards… but slower escape
It’s not just about winning fights.
It’s about managing risk under pressure—a theme that perfectly mirrors Pado.
Why Gen Sol Works
Because people don’t just invest in tokens.
They invest in:
Gen Sol creates emotional attachment, which fuels:
-
Engagement
-
Merchandising
-
Cross-platform expansion
This is how Web3 IP becomes mainstream IP.
The Real Take: Why Nasun Stands Out
Most projects pick a lane.
Nasun picked three and built bridges between them.
-
Finance feeds liquidity into the ecosystem
-
AI automates and secures execution
-
Entertainment drives user engagement and culture
It’s not just a stack.
It’s a flywheel.
Final Thought
Nasun isn’t trying to be another DeFi app, AI tool, or gaming platform.
It aims to become the infrastructure layer that integrates all three industries.
Ambitious? Absolutely.
But for once, the architecture actually backs the vision.
And if it works…
You’re not just looking at a new blockchain.
You’re looking at a new digital economy blueprint.
Nasun Network Official
Website | X(Twitter) | Telegram
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Crypto markets have wiped out recent gains amid hawkish sentiment from the US central bank.
Total market capitalization has declined by almost $100 billion in less than 24 hours before and after the Federal Reserve’s meeting on Wednesday. The metric is now at around $2.52 trillion after falling from just below a six-week high of $2.61 trillion on Wednesday.
Over the past 24 hours, around 136,000 traders were wrecked, with total liquidations coming in at $452 million. The majority, or around 85% of them, were leveraged long positions in Bitcoin.
The big slump has sent markets back towards the middle of their six-week range-bound channel, wiping out most of the gains from the recent rally.
Hawkish Fed Rattles Traders
The dump began before the meeting but continued after Fed chair Jerome Powell’s comments that there may only be one rate cut this year. The US central bank kept rates the same at 3.5% to 3.75% in a widely expected move yesterday.
Fed policymakers maintained their forecast for an additional rate cut this year, but Powell suggested that the central bank remains concerned about stubbornly elevated inflation even before the conflict’s impact on fuel prices, reported the Associated Press.
“The rate forecast is conditional on the performance of the economy, so if we don’t see that progress, then you won’t see the rate cut,” Powell said.
“FOMC events act as volatility catalysts, but their impact depends on the underlying risk regime,” stated Swissblock on Thursday, adding, “In high-risk environments, FOMC days tend to trigger rejection or accelerate downside.”
Rate decisions tend to “amplify the existing regime,” they added, explaining that the current regime is “transitioning toward low risk, but it is not fully confirmed yet.”
“That means FOMC can still trigger volatility, but in the end, Bitcoin depends more on its own internal strength, flow, and momentum than on macro events alone.”
FOMC events act as volatility catalysts, but their impact depends on the underlying risk regime.
In high-risk environments, FOMC days tend to trigger rejection or accelerate downside.
In stabilizing regimes, they often mark local bottoms or continuation points.
The last three… pic.twitter.com/uWnVkjpHm4
— Swissblock (@swissblock__) March 18, 2026
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President Donald Trump has repeatedly called for “too slow” Powell to reduce rates, but his own actions have had the opposite effect. Trump’s tariffs and now the war in Iran have caused prices to increase, which is likely to result in inflation figures going back up.
Inflation is one of the two Fed mandates for policy decisions on rates; the other is the labor market.
Crypto Market Outlook
Bitcoin is down 4.3% on the day, dropping below $71,000 on Wednesday, where it currently struggles.
Ether prices dumped 5.6% and fell below $2,200 while struggling to reclaim that level. Meanwhile, the altcoins were bleeding heavily with larger losses for Dogecoin, Cardano, Chainlink, and Zcash.
“For now, traders are expecting a bullish relief rally in spite of no changes being made,” reported Santiment. “This is likely due to the fact that the bearish price action related to the lack of cuts already occurred yesterday.”
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