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How decentralized AI training will create a new asset class for digital intelligence

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How decentralized AI training will create a new asset class for digital intelligence

Frontier AI — the most advanced general-purpose AI systems currently in development — is becoming one of the world’s most strategically and economically important industries, yet it remains largely inaccessible to most investors and builders. Training a competitive AI model today, similar to the ones retail users frequent, can cost hundreds of millions of dollars, demand tens of thousands of high‑end GPUs, and require a level of operational sophistication that only a handful of companies can support. Thus, for most investors, especially retail ones, there is no direct way to own a piece of the artificial intelligence sector.

That constraint is about to change. A new generation of decentralized AI networks is moving from theory to production. These networks connect GPUs of all kinds from around the world, ranging from expensive high‑end hardware to consumer gaming rigs and even your MacBook’s M4 chip, into a single training fabric capable of supporting large, frontier‑scale processes. What matters for markets is that this infrastructure does more than coordinate compute; it also coordinates ownership by issuing tokens to participants who contribute resources, which gives them a direct stake in the AI models they help create.

Decentralized training is a genuine advance in the state of the art. Training large models across untrusted, heterogeneous hardware on the open internet was, until recently, said to be an impossibility by AI experts. However, Prime Intellect has now trained decentralized models currently in production — one with 10 billion parameters (the quick, efficient all-rounder that’s fast and capable for everyday tasks) and another with 32 billion parameters (the deep thinker that excels at complex reasoning and delivers more nuanced, sophisticated results).

Gensyn, a decentralized machine-learning protocol, has demonstrated reinforcement learning that can be verified onchain. Pluralis has shown that training large models using commodity GPUs (the standard graphics cards found in gaming computers and consumer devices, rather than expensive specialized chips) in a swarm is an increasingly viable decentralized approach for large-scale pretraining, the foundational phase where AI models learn from massive datasets before being fine-tuned for specific tasks.

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To be clear, this work is not just some research project—it’s already happening. In decentralized training networks, the model does not “sit” inside a single company’s data center. Instead, it lives across the network itself. Model parameters are fragmented and distributed, meaning no single participant owns the entire asset. Contributors supply GPU compute and bandwidth, and in return, they receive tokens that reflect their stake in the resulting model. This way, training participants don’t just serve as resources; they earn alignment and ownership in the AI they are creating. This is a very different alignment from what we see in centralized AI labs.

Here, tokenization becomes integral, giving the model an economic structure and market value. A tokenized AI model acts like a stock, with cash flows reflecting the model’s demand. Just like OpenAI and Anthropic charge users for API access, so can decentralized networks. The result is a new kind of asset: tokenized intelligence.

Instead of investing in a large public company that owns models, investors can gain exposure to models directly. Networks will implement this through different strategies. Some tokens may primarily confer access rights — priority or guaranteed usage of the model’s capabilities — while others may explicitly track a share of net revenue generated when users pay to run queries through the model. In both cases, the token markets begin to function like a stock market for models, where prices reflect expectations about a model’s quality, demand and usefulness. For many investors, this may be the most direct path to participate financially in AI’s growth.

This development does not occur in a vacuum. Tokenization is already moving into the financial mainstream, with platforms like Superstate and Securitize (set to go public in 2026) that are bringing funds and traditional securities onchain. Real‑world asset strategies are now a popular topic among regulators, asset managers and banks. Tokenized AI models naturally fit into this category: they are digitally native, accessible to anyone with an internet connection regardless of location, and their core economic activity—computation for inference, the process of running queries through a trained model to get answers—is already automated and trackable by software. Among all tokenized assets, continuously improving AI systems may be the most inherently dynamic, as models can be upgraded, retrained and improved over time.

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Decentralized AI networks are a natural extension of the thesis that blockchains enable communities to collectively fund, build, and own digital assets in ways previously impossible. First was money, then financial contracts, then real‑world assets. AI models are the next digitally native asset class to be organized, owned and traded onchain. Our view is that the intersection of crypto and AI will not be limited to “AI‑themed tokens”; it will be anchored in actual model revenue, backed by measurable compute and usage.

It is still early. Most decentralized training systems are in active development, and many token designs will fail technical, economic or regulatory tests. But the direction is clear: the decentralized AI training networks are set to become a liquid, globally coordinated resource. AI models are becoming shareable, ownable and tradable through tokens. As these networks mature, markets will not just price companies that build intelligence; they will price intelligence itself.

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Bitcoin Nears Key Resistance as Bearish Flag Persists Within Rising Channel Structure

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR:

  • Bitcoin trades near $72K, approaching strong resistance within a well-defined ascending channel range.
  • Analysts warn a move toward $77K may trigger a liquidity grab before a possible bearish reversal.
  • Strong support remains at $60K–$62K, where buyers have repeatedly prevented deeper declines.
  • Market remains in a compression phase, with a breakout or rejection likely to define the next move.

Bitcoin continues to trade within a defined range after a sharp decline, with price action showing controlled recovery.

Market participants remain cautious as resistance nears, while analysts monitor whether the current structure leads to a breakout or renewed downside pressure.

Bitcoin Trades Within Ascending Channel as Resistance Nears

A recent tweet by Captain Faibik outlines a cautious outlook for Bitcoin despite short-term upward movement. He maintains that a bearish flag remains active on the daily timeframe, even as price attempts minor recoveries.

According to his view, brief rallies have repeatedly shifted sentiment, though broader control still leans toward sellers.

The chart shared alongside the tweet shows Bitcoin recovering from a steep drop near the $95,000 to $100,000 range.

That decline extended toward the $58,000 to $60,000 zone, where strong buying interest emerged. Since then, price has formed a structured recovery, building higher lows and gradually moving within an ascending channel.

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Currently, Bitcoin trades near the $71,000 to $72,000 level. This places it in the upper-middle section of the channel, where momentum appears stable but constrained.

The upper boundary between $74,500 and $77,000 has acted as resistance, rejecting multiple attempts to move higher.

At the same time, the lower boundary around $60,000 to $62,000 continues to serve as a demand zone. Buyers have consistently stepped in at this level, preventing deeper declines.

As price approaches resistance again, traders are watching closely for either a breakout or another rejection.

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Bearish Bias Remains Despite Altcoin Activity

Captain Faibik noted in his tweet that a move toward the $77,000 to $78,000 region could occur before a potential decline.

He pointed to a possible liquidity grab followed by a drop toward the $54,000 to $56,000 range. However, he emphasized that confirmation is still required before taking positions.

He also explained his contrasting stance on Bitcoin and altcoins. While maintaining a bearish view on Bitcoin, he has remained active in select altcoins over recent months.

His allocation strategy reflects this approach, with roughly half of his funds held in stable assets and the rest split between midterm altcoin positions and swing trades.

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Meanwhile, key levels continue to guide market behavior. Immediate support sits near $70,000, while a mid-channel range between $66,000 and $68,000 acts as a balance zone.

Resistance remains firm below $77,000, and a clear break above this area would shift focus toward the $80,000 to $85,000 region.

Price action within the channel suggests a period of compression. This type of structure often precedes a sharp move once resistance or support gives way.

Until then, Bitcoin remains range-bound, with both upward continuation and downside rotation still possible.

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The tweet reflects a wait-and-see approach, with no active trades opened yet. Market participants continue to monitor price behavior near resistance, as confirmation will likely determine the next directional move.

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JasmyCoin Signals Potential Breakout as Multi-Year Accumulation Nears Key Resistance

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR:

  • JasmyCoin shows repeated falling wedge patterns, often linked with weakening bearish momentum.
  • Multi-year consolidation reflects a balance between buyers and sellers before a possible trend shift.
  • Current price compression near wedge support suggests a potential buildup toward a breakout move.
  • A projected move toward $0.2785 depends on confirmed resistance breakout and sustained momentum.

JasmyCoin is drawing renewed attention after a technical analysis projected a potential long-term breakout toward higher price levels.

The outlook is based on multi-year chart structures that show extended consolidation, repeated falling wedge formations, and a possible transition from a prolonged downtrend into a bullish phase.

Multi-Year Structure Signals Gradual Market Shift

A recent tweet by Javon Marks outlined a macro view of JasmyCoin’s price action across several years. The analysis describes a clear transition from a sharp post-2021 decline into a more structured consolidation phase.

During the earlier cycle, the asset recorded consistent lower highs and lower lows, forming descending channels that reflected sustained selling pressure.

As time progressed, the chart began to show signs of stabilization. A falling wedge pattern emerged during the mid-cycle phase, where price action tightened within converging trendlines.

This structure often reflects weakening bearish momentum. A breakout attempt followed, leading to a short-lived upward move, which suggested early accumulation behavior.

After that move, JasmyCoin entered a broader consolidation range marked by sideways price action. The chart indicates multiple swings within this zone, showing a balance between buyers and sellers.

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This range also reflects improved structural stability compared to the earlier downtrend phase. Such conditions often precede larger directional moves once market pressure resolves.

Current Compression Points to Potential Breakout Setup

More recently, the chart shows another falling wedge formation developing on the right side. Price action continues to compress toward the apex of this pattern, indicating reduced volatility and tightening market conditions. This setup often attracts attention due to its association with breakout scenarios.

The current price position remains near the lower boundary of the wedge. This area is commonly viewed as a demand zone where buyers may step in.

At the same time, the upper trendline serves as a resistance level that traders monitor for confirmation of a breakout.

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Javon Marks’ tweet also pointed to a projected move toward the $0.2785 level. This target represents a large percentage increase from current prices, contingent on a confirmed breakout and sustained market support.

The projection is illustrated by a curved upward path on the chart, suggesting a gradual expansion rather than an immediate surge.

The broader structure suggests a transition from accumulation into a potential markup phase. However, this depends on whether price action can move above resistance levels with consistent momentum. If the asset fails to break out, the chart suggests continued consolidation or further compression within the wedge.

Overall, the analysis presents a technical setup where JasmyCoin approaches a key decision point. The combination of repeated wedge formations and long-term consolidation continues to shape expectations around a possible trend reversal, depending on future price behavior and market conditions.

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XRP Tightens Near $1.33 as Market Builds Pressure Between Key Support and Resistance Levels

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR:

  • XRP remains in a tight consolidation range near $1.33 with reduced volatility and declining trading volume in sessions.
  • MACD shows a bullish crossover with the histogram turning positive, though the overall trend remains below the zero line.
  • RSI stays below 50 at mid-40 levels, signaling weak momentum and a continued market indecision phase.
  • Price action stays between $1.30 support and $1.50 resistance as traders wait for breakout confirmation signals.

XRP continues to trade within a tight range after months of decline, with recent data showing early signs of stabilization.

Market participants are closely watching resistance and support levels, as technical indicators signal a potential directional move.

XRP Consolidates After Downtrend as Key Levels Come Into Focus

XRP price action shows a clear shift from a prolonged decline into a consolidation phase. From November through early February, the asset recorded consistently lower highs and lower lows. A sharp drop in early February pushed prices toward the $1.20–$1.25 range.

Since that move, XRP has stabilized and now trades between defined levels. Immediate support sits near $1.30–$1.32, while resistance is seen between $1.45 and $1.50. At the time of analysis, XRP trades at $1.33168, reflecting a daily decline of 1.74%.

The narrowing price range suggests reduced volatility. Candles have become tighter, indicating a pause in aggressive selling.

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Volume has also declined during this phase, pointing to reduced market participation. Traders often associate such conditions with a buildup before a larger move.

A recent post by analyst Ali Charts adds a broader perspective. The analyst notes that XRP has remained within a nine-year ascending triangle on the monthly chart. According to the post, repeated rejections at resistance have followed a consistent pattern since 2017.

The same analysis points to a potential retest of macro support between $0.75 and $0.80. This zone is described as a key level to watch if broader weakness returns. The long-term structure remains intact unless that rising trendline is broken.

Momentum Indicators Show Early Recovery but No Clear Trend Yet

Momentum indicators present a mixed picture, reflecting the ongoing consolidation. The Moving Average Convergence Divergence (MACD) shows early signs of recovery. The MACD line has crossed above the signal line, with a reading of -0.01580 against -0.01996.

The histogram has turned slightly positive at 0.00416. This shift indicates a mild increase in bullish momentum. However, both lines remain below the zero mark, which keeps the broader trend in a neutral to bearish zone.

At the same time, the Relative Strength Index (RSI) remains below the midpoint. Current readings show RSI at 43.98, with its moving average at 43.26. This level reflects weak momentum and no clear dominance by buyers or sellers.

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The RSI has recovered from oversold conditions seen during February’s decline. Still, it remains below 50, suggesting that bullish strength has not fully developed. The indicator is flattening, which aligns with the ongoing sideways movement.

Market structure now depends on a breakout from the current range. A move above $1.45–$1.50 could open the path toward $1.60 and $1.70. Such a move would likely require stronger volume and confirmation from momentum indicators.

On the downside, a break below $1.30 could lead to a retest of $1.20–$1.25. If that level fails, attention may shift to lower support zones. For now, XRP continues to trade within a defined range as the market waits for clearer direction.

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Gold Overtakes US Treasuries as Top Central Bank Reserve Asset Since the 1990s

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR:

  • Gold now accounts for 24% of global central bank reserves, overtaking US Treasuries at just 21%.
  • Gold’s reserve share has nearly tripled since 2015, driven by central bank buying and rising prices.
  • The US seizure of Russia’s reserves in 2022 triggered a global shift away from dollar-denominated assets.
  • China and BRICS nations have led steady US Treasury sell-offs since 2022, accelerating de-dollarisation.

Gold surpasses US Treasuries in global central bank reserves for the first time since the mid-1990s, with gold now commanding 24% of reserves against Treasuries’ 21%, Bloomberg data confirms. 

The shift, years in the making, reflects sustained central bank buying, soaring gold prices, and a deliberate move away from dollar dependency. geopolitical shocks, from the seizure of Russia’s reserves to escalating US tariffs.

All have accelerated a de-dollarisation trend that is now reshaping the foundation of the international monetary system.

Gold Overtakes US Treasuries in Reserve Composition

Gold now accounts for 24% of global central bank reserves, while US government debt sits at 21%, according to Bloomberg data.

This marks a sharp reversal from the final quarter of 2015, when Treasuries made up 33% of reserves and gold just 9%. 

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Gold’s share has nearly tripled over the last decade, driven by aggressive central bank purchases and a sustained rise in gold prices.

Emerging market central banks have led this accumulation. These institutions have steadily diversified away from dollar-denominated assets, accelerating purchases as part of broader reserve management strategies. 

The trend gained momentum from around 2017, when USD reserve growth began to plateau, while gold continued rising in both price and share.

Gold now makes up 24% of global central bank reserves, surpassing US Treasuries at 21% for the first time since the mid-1990s.

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The reallocation reflects a growing preference for assets that carry no counterparty risk. Unlike US Treasuries, gold cannot be frozen or devalued through a foreign government’s policy decisions, making it attractive to reserve managers navigating a more uncertain geopolitical environment.

Geopolitical Shocks Deepen the De-Dollarisation Trend

The pace of change accelerated sharply in 2022 when the US seized Russia’s central bank reserves following the conflict in Ukraine. The move alarmed reserve managers globally and prompted many to reassess their exposure to dollar-denominated assets. 

China and the leading BRICS nations began selling US Treasury bills in earnest from that year. Selling intensified further in April 2024 after the Trump administration launched the Liberation Day tariff scheme. 

Additional pressure came from Operation Epic Fury, which further undermined confidence in the US as a reliable financial partner. These events together have driven a sustained shift in reserve composition.

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While the US dollar remains dominant in global trade and finance, central banks are now actively reducing its share in their reserve baskets. Gold is no longer viewed as a supplementary reserve asset. 

It has moved to the center of reserve strategy, holding more weight in global central bank portfolios than US government debt for the first time in nearly three decades.

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Bitcoin Falls As US-Iran War Negotiations Fail In Pakistan

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Bitcoin Falls As US-Iran War Negotiations Fail In Pakistan

Bitcoin (BTC) fell 3% to trade below $71,000 into Sunday’s weekly close after negotiations to end the US-Iran war broke down.

Key points:

  • Bitcoin shed its gains as negotiations between the US and Iran broke down.

  • The Strait of Hormuz becomes a flashpoint again as US President Donald Trump demanded that it be reopened.

  • BTC price downside punishes late long positions.

BTC price drops on US-Iran war fears

Data from TradingView showed BTC price action dipping below $71,000 after news of a sudden breakdown in negotiations between the US and Iran in Islamabad, Pakistan.

BTC/USD one-hour chart. Source: Cointelegraph/TradingView

A failure to reach an agreement on the issue of nuclear weapons resulted in both delegations leaving talks unfinished. Later, US President Donald Trump said that the US would blockade the Strait of Hormuz and “interdict” vessels paying Iran for safe passage.

“No one who pays an illegal toll will have safe passage on the high seas,” he wrote in a post on Truth Social.

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A follow-up post repeated demands that Iran make Hormuz, a major oil transit route, fully operational.

Source: Truth Social

Ahead of futures markets opening, reactions to the latest events spelled out the risks for the wider economy.

“If the path forward is continued war, escalation, and a prolonged closure of the Strait of Hormuz, then the Iran War has just entered a new era,” The Kobeissi Letter wrote in its latest analysis on X. 

“US CPI inflation just jumped from 2.4% to 3.3% and further escalation of the Iran War would lead to 4.0%+ inflation, according to our models.”

US CPI 12-month % change. Source: Bureau of Labor Statistics

Kobeissi referred to the US Consumer Price Index (CPI) inflation, a gauge particularly sensitive to oil prices. Earlier this week, the March CPI print came in slightly below expectations, despite the highest jump in its oil-price component in 60 years.

“There are currently no plans for additional talks, according to Iranian media,” Kobeissi added. 

“So, will Trump choose to push harder for diplomacy or double down on military action? Today, we find out.”

Bitcoin liquidations mount as longs suffer

As the only 24-hour-traded asset class, Bitcoin and crypto were the only ones reacting to the chaos in real time.

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Related: Bitcoin analysis sees $55K BTC price ‘iron bottom’ by December 2026

Data from CoinGlass showed BTC/USD slicing through long liquidations, with the liquidation total for the past 24 hours nearing $350 million.

BTC liquidation heatmap. Source: CoinGlass

“Volatility remains high and it’s clear that there won’t be a path forward where risk-on assets will do well if this continues to be the consensus,” trader Michaël Van de Poppe wrote in an X response.

Van de Poppe suggested that the economic weakness as a result of the returning war could force the Federal Reserve to inject liquidity despite rising inflation.

“On a larger scale, I think that we’re currently in a sufficiently weak economy and the FED has no other option than to start printing again to positively influence the economy,” he argued.

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Earlier, Cointelegraph reported on rising odds of the US entering a recession in 2026.

Next week will bring more inflation cues from the March Producer Price Index (PPI) print, while multiple senior Fed officials will speak on the economy.