• 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.

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 scammers are using OpenClaw’s popularity to target developers via a new GitHub phishing campaign designed to drain their crypto wallets.

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.”

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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

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— 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.”

The asset’s price exploded by almost 20% in minutes after the listing news went live.

The former CEO of the derivatives giant BitMEX has made several multi-million-dollar trades over the past six months or so, but his latest purchase raised some eyebrows in the cryptocurrency community.

This is because it preceded a major listing of the token he bought, which pushed its price up by double digits.

Did He Know?

Lookonchain data from earlier today shows that Hayes received over 132,000 ETHFI tokens from Anchorage Digital at $0.55 per one. Shortly after, news emerged on social media that one of the largest South Korean exchanges, Upbit, had listed the asset for trading against the local won.

Similar listings by the Asian giant have led to immediate price pumps for the underlying asset on almost all occasions. One of the latest examples involved ICP, whose price skyrocketed by over 16% last week.

Although ETHFI is a much smaller altcoin, its pump was essentially similar, going up by 18% from $0.54 before the announcement to $0.64 minutes after it. However, it was halted there and has lost almost all gains, perhaps driven by the overall market-wide correction today.

Even though some comments below the original post indeed questioned whether Hayes indeed had some insider knowledge, the amount of ETHFI he received seems rather negligible compared to what he sold a month ago – $72.8K now vs. $2.15 million back then.

Interesting — just 5 hours after Arthur Hayes(@CryptoHayes) bought $ETHFI, #Upbit announced its listing.https://t.co/QEgAyVQ4lz pic.twitter.com/9jorCuAHuX

— Lookonchain (@lookonchain) March 19, 2026

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Previous Sell-Offs

CryptoPotato reported in February, shortly after the market tumbled, that Hayes had disposed of a large number of DeFi-linked tokens, including ETHFI. Aside from a $950,000 ETHFI selling spree, he also dumped $1 million worth of ENA and $1.1 million worth of PENDLE.

Hayes even sold ETH last August, suggesting at the time that the asset’s price is likely to tumble. However, the largest altcoins went on a run instead, jumping by double digits in weeks. As such, Hayes explained that he had to rebuy at higher prices and asked for forgiveness from the Ethereum community.

PI is among the few altcoins that has not plunged today.

After successfully implementing several consecutive protocol updates, the Core Team behind the controversial project noted earlier today that the next one is already in the works.

At the same time, the underlying token has posted a minor gain since yesterday. However, its broader performance continues to be quite underwhelming.

Next Update Coming Soon

The team announced the first protocol update of the year on February 20, which brought it to version 19.6. The next one, v19.9, followed suit on March 4, and the highly anticipated v20.2 was successfully migrated before the community’s Pi Day (March 14). This one was particularly important as it laid out the fundamentals for enabling smart contract capabilities.

This rollout will occur gradually, the team said, as they aim to prioritize categories that align with utility-based product innovation and operations. The specifics will depend on the needs arising from the utility creation process, they added.

Without providing a clear deadline this time, Pi Network’s official X channel indicated that the v21 upgrade is coming, and node operators must ensure their systems are “up to date.” They added that more instructions will be coming shortly.

The Pi Mainnet has successfully upgraded to Protocol 20, laying the foundation for supporting smart contracts. Node operators, please ensure your systems are up to date and stay tuned for instructions regarding the upcoming v21 upgrade.

— Pi Network (@PiCoreTeam) March 19, 2026

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PI Resists Dropping Further

Aside from the aforementioned updates, all announced in the past month, the other big news in the Pi Network community came last week from Kraken. The veteran US exchange said it would list the underlying token for trading starting March 13.

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The combined effects for PI were instant and rather mind-blowing. The token exploded by almost 100% in the span of just days, and tapped a five-month peak of around $0.30. However, once it indeed began trading on Kraken, it suffered the consequences of another classic buy-the-rumor, sell-the-news event.

It plummeted by over 30% at one point, and kept losing value to under $0.17 marked yesterday. Interestingly, it has rebounded slightly in the past day (3%), while most other altcoins have suffered 3-5% losses.