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Base Resumes Block Production After Roughly Two-Hour Mainnet Halt

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Base Resumes Block Production After Roughly Two-Hour Mainnet Halt


Coinbase-incubated Layer 2 Base stopped producing blocks for about two hours on Thursday after an invalid block stalled its chain, before the network recovered and resumed normal operation. The halt revived questions about the centralized sequencer that orders transactions on most major rollups…. Read the full story at The Defiant

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Fidelity Disputes Claims Bitcoin Security Drops After Halvings

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Crypto Breaking News

Fidelity Digital Assets has pushed back on worries that Bitcoin’s security will weaken as block subsidies shrink through future halvings. In a research report authored by Daniel Gray, Fidelity argues that Bitcoin’s long-term protection is supported by a broader set of economic incentives beyond new coin issuance—particularly transaction fees and the costliness of mounting sustained attacks.

The debate matters because Bitcoin’s issuance schedule mechanically reduces the block reward every four years, eventually turning the network into one primarily funded by fees. Critics have long argued that if transaction fees fail to rise enough to replace falling subsidies, miners’ incentives could weaken and the security budget for the chain could erode.

Key takeaways

  • Fidelity says Bitcoin’s security depends on more than block rewards, emphasizing transaction fees and broader incentives that make attacks prohibitively expensive.
  • Gray highlights that miner incentives have historically strengthened alongside Bitcoin’s price, even as issuance falls across halving cycles.
  • Since the April 20, 2024 halving, the block subsidy is 3.125 BTC per block, down from 6.25 BTC previously.
  • Average daily miner revenue has increased across cycles—from about $26,300 early in the prior halving era to more than $40.2 million today, according to the report.
  • Despite Fidelity’s long-term view, publicly traded miners still face near-term funding and operational pressures, contributing to an AI and HPC shift.

Fidelity’s argument: security isn’t only about subsidies

Fidelity’s report challenges a core criticism of Bitcoin’s halving design: that each quadrennial cut reduces miners’ income and could ultimately impair the network’s ability to sustain high levels of mining participation. The concern typically centers on the idea that lower block rewards must eventually be offset by higher transaction fees—or else miners’ profitability could drop to a level that discourages security spending.

Gray’s conclusion is that this framing understates how Bitcoin’s incentive system works in practice. According to Fidelity, the network is not secured by issuance alone. Transaction fees, market dynamics, and other economic forces can keep miners motivated to invest in and maintain the infrastructure needed to protect the blockchain.

In other words, the report argues that declining subsidies do not automatically translate into declining incentives. If the total revenue miners earn—issuance plus fees—holds up or grows, then the security that depends on miners’ willingness to keep operating remains supported.

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The post-halving revenue picture

Fidelity anchors its case in the latest halving mechanics and the observed changes in miner income. Since April 20, 2024, Bitcoin miners have received a subsidy of 3.125 BTC per block, compared with 6.25 BTC during the prior cycle.

Gray argues that the reduction in issuance has not weakened miner incentives, largely because Bitcoin’s market price has risen enough to more than compensate. Fidelity points to growth in average daily miner revenue, stating it increased from roughly $26,300 during Bitcoin’s first halving cycle to more than $40.2 million at present.

“Despite declining issuance, miner incentives — and by extension, network security — historically strengthened alongside Bitcoin’s price,” Gray wrote, according to the report.

This is a meaningful distinction for investors and builders: it implies the pathway from subsidies to fee-based security may be less abrupt than critics assume. Instead of treating the halving as an immediate security stress test, Fidelity frames the outcome as dependent on how fees and market conditions evolve relative to the declining reward schedule.

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Why transaction fees are central—and why uncertainty remains

Even with Fidelity’s argument, the question of how Bitcoin transitions to fee-led security is still the focal point of long-term risk analysis. The network’s supply schedule is fixed, meaning new issuance will continue to shrink until it eventually disappears. The open uncertainty is whether transaction fees, in combination with other economic forces, will reliably sustain miner incentives through that transition.

Fidelity’s report does not remove that uncertainty; it addresses the claim that halving alone inevitably damages security incentives. By pointing to historical patterns—where miner incentives rose despite declining issuance across previous halving cycles—the report suggests the market has previously adjusted in ways that preserved or strengthened miner profitability.

For readers, the practical takeaway is that monitoring should extend beyond the headline halving reward. The combination of fee levels, total miner revenue, and the broader price trend will likely be more informative indicators of whether security spending remains well supported over time.

Near-term pressure for miners: AI and HPC expansion

While Fidelity frames Bitcoin’s long-term security economics as resilient, the near-term reality for many publicly traded miners has been more difficult. Multiple analysts and industry narratives cited in the broader coverage describe a challenging environment shaped by reduced mining rewards, higher costs, and intense competition.

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That pressure has helped drive diversification strategies. Some miners have moved toward artificial intelligence and high-performance computing, leveraging existing power infrastructure and data center assets rather than relying only on Bitcoin mining revenues.

Earlier coverage referenced in the article noted that several miners have been pursuing these alternatives, including a shift towards AI-oriented infrastructure. Separately, a report by VanEck estimated publicly traded miners could require up to $50 billion in additional capital to fully transition to AI infrastructure—an illustration of how large the investment hurdle can be when expanding beyond crypto mining.

Blocksbridge Consulting, quoted in a Miner Weekly publication, highlighted operational differences that matter for business planning: it argued that Bitcoin mining can often be supported with modular infrastructure and ASIC fleets that tolerate fast curtailment, while AI and HPC facilities require higher standards for uptime, cooling, redundancy, networking, and customer support.

This creates an asymmetry investors should pay attention to. Even if Bitcoin’s security budget holds up in the long run, individual mining companies may still face financing constraints and execution risk while they adapt to changing economics and technology demands.

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Readers should watch how miners balance these two tracks—supporting Bitcoin’s security today while making capital-heavy bets on future revenue streams. The timing of that pivot, and the ability to raise funds without impairing balance sheets, may become an increasingly important variable for equity holders as the industry continues adjusting to post-halving economics.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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FBI Urges OneCoin Victims to File for DOJ Compensation Before June 30

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Spain Ex-PM Zapatero Denies Bailout Scheme as Court Hunts His Crypto

The FBI is urging victims of the OneCoin cryptocurrency fraud to apply for government compensation before the June 30, 2026, deadline, with more than $40 million in forfeited assets still available.

The Department of Justice (DOJ) launched the remission claims process on April 13, making funds accessible to eligible investors. Victims can file petitions online, by mail, or by email through onecoinremission.com, the only authorized claims portal.

The $4 Billion Fraud Built on False Promises

OneCoin launched in 2014 out of Sofia, Bulgaria, with its founders marketing it as the next major cryptocurrency. Co-founders Ruja Ignatova and Karl Sebastian Greenwood pitched it as a ground-floor rival to Bitcoin (BTC), drawing in investors across dozens of countries.

Unlike genuine cryptocurrencies, OneCoin had no real blockchain, and its tokens were effectively worthless.

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Ignatova and Greenwood drove growth through a multi-level marketing network. Existing investors earned commissions by recruiting new buyers, who then recruited more. As a result, victims worldwide collectively lost more than $4 billion.

Thai authorities arrested Greenwood in July 2018, and U.S. officials extradited him shortly after. He received a 20-year prison sentence in September 2023, with a court order to forfeit $300 million. Ignatova, however, has evaded capture since 2017 and remains on the FBI’s Ten Most Wanted list.

Furthermore, identity change reports suggest she may have altered her appearance, complicating the manhunt.

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FBI New York Assistant Director in Charge James C. Barnacle Jr. described the scale of the harm.

“Misled by falsified statements and empty promises, many unknowingly depleted their savings for a fraudulent investment scheme in an emerging financial ecosystem that would never pay out.”

DOJ Warns of New Fraud Targeting Victims

The program covers individuals who purchased OneCoin between Q4 2014 and Q4 2019 and suffered a net financial loss. However, filing a petition does not guarantee compensation.

BeInCrypto covered the DOJ remission program launch in April, when the petition window first opened. Filing is entirely free. The DOJ warned that any third party charging a fee is running a secondary scam. The US State Department offers a $5 million reward for information leading to the arrest of Ignatova.

With June 30 now days away, eligible victims face a narrow filing window. The DOJ’s wider crypto fraud crackdown signals continued enforcement focus, and broader warnings about crypto fraud infrastructure show why this remission fund remains a direct recovery path for OneCoin investors.

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SpaceX to join the Nasdaq-100 in a fast-tracked process that will drive huge ETF buying demand

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SpaceX will join Nasdaq-100

The stock of SpaceX continues its consolidation phase on the New York Stock Exchange one week after its Nasdaq listing.

Samuel Boivin | Nurphoto | Getty Images

SpaceX became one of the quickest additions ever to the Nasdaq-100 index, setting up a fresh wave of buying from passive investors less than a month after the company’s blockbuster public debut.

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Nasdaq announced after the close Friday that SpaceX qualifies for inclusion in the benchmark technology index. Assuming the company meets the requirements, index-tracking funds and other product sponsors would begin purchasing shares after the market closes on July 6, with SpaceX officially joining the Nasdaq-100 before trading begins on July 7.

More than $800 billion tracks the index, including the Invesco QQQ Trust (QQQ), which is one of the most popular securities traded each day and is seen as a barometer for the artificial intelligence bull market.

The aerospace and satellite company is expected to enter the index with a weighting of less than 1%.

Adding SpaceX this quickly would make the Elon Musk company one of the first beneficiaries of Nasdaq’s recently adopted fast-track inclusion framework for newly public companies. The changes allow some large IPOs to become eligible for the Nasdaq-100 after just 15 trading days, dramatically shortening what had historically been a far longer waiting period.

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Under the previous framework, investors tracking the Nasdaq-100 could be forced to wait months before gaining exposure to newly listed market giants.

The inclusion could create another source of demand for SpaceX, which has been one of the most actively traded stocks since its June 12 debut. Index funds and exchange-traded funds tied to the Nasdaq-100 would need to buy shares to match the benchmark’s new composition, while active managers who track the index closely might also adjust positions.

Because SpaceX’s publicly tradable float remains small compared with its total market capitalization, even a modest index weighting could require meaningful purchases from passive investment vehicles.

Earlier this month, S&P Dow Jones Indices declined to create a similar fast-track process for the S&P 500. Therefore, SpaceX remains ineligible for inclusion in the S&P 500 because of that index’s separate profitability and seasoning requirements.

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— CNBC’s Leslie Picker contributed reporting.

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XRP Long Liquidations Surge 832% as Derivatives Market Undergoes Forced Reset

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XRP Long Liquidations Surge 832% as Derivatives Market Undergoes Forced Reset

TLDR:

  • XRP long liquidations surged 832% over the past week, reaching nearly $3.0 million in forced exits.
  • Open Interest dropped from $1.18B to $1.04B, reflecting an 11.1% monthly decline in leveraged exposure.
  • Binance XRP reserves fell just 0.35% weekly, showing spot holders remained calm amid futures turmoil.
  • A Tom DeMark “9” buy signal and Morning Star Doji pattern suggest XRP could rebound toward $1.30.

XRP derivatives markets recorded a sharp deleveraging episode over the past week, with long liquidations surging 832% versus the prior month.

Open Interest fell from roughly $1.18 billion to approximately $1.04 billion. Funding rates turned deeply negative, registering a -463% shift against the quarterly baseline.

The data points to a forced exit of leveraged long positions rather than an orderly rollover, resetting the market’s overall risk structure.

Cascading Liquidations Clear Speculative Excess From XRP Futures

Long liquidations reached nearly $3.0 million over the seven-day period, far outpacing short liquidations. This imbalance confirms that upside-positioned traders bore the brunt of the selloff. The scale of exits reflects a systematic purge rather than isolated margin calls across the derivatives market.

Open Interest declining by 11.1% on a monthly basis reinforces this interpretation. When OI falls alongside deeply negative funding rates, it typically means leveraged longs are being closed, not transferred. The market is shedding speculative weight accumulated during the prior uptrend.

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Source: CryptoQuant

Despite the futures turmoil, spot-side behavior told a different story. Binance XRP reserves remained relatively stable, down just 0.35% on the week.

That restraint among holders suggests limited appetite to deposit tokens for immediate sale, even as price weakened noticeably.

The divergence between panicked futures positioning and composed spot holders is notable. Historically, this kind of split often marks a transitional phase rather than an outright bearish continuation. Whether that transition resolves bullishly depends on how sellers respond next.

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Technical Signals and Utility Developments Add Context to XRP’s Next Move

On the technical side, analyst Ali Charts flagged two reversal patterns forming on the daily chart. The Tom DeMark Sequential printed a “9” buy signal, which historically anticipates a one-to-four candle relief rebound.

Additionally, the past three sessions completed a Morning Star Doji formation, a pattern traditionally associated with localized price bottoms.

Ali Charts noted that if buying volume accelerates, XRP could move toward the $1.30 level from current prices near $1.05.

These signals do not guarantee a sustained trend change, but they do indicate potential short-term momentum shifts worth watching.

On the fundamental side, Ripple’s launch of RLUSD in Japan through SBI VC Trust adds a longer-range utility layer to the XRP ecosystem.

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Stablecoin infrastructure tied to regulated partners in a major market could support broader adoption over time.

The immediate focus, however, remains on Open Interest recovery. A rebound in OI alongside normalizing funding rates would confirm that fresh demand is entering the market.

Until that happens, the question is whether short-sellers press their advantage or negative funding triggers a short-covering rally.

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Fidelity Defends Bitcoin’s Long-Term Security Model

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Fidelity Defends Bitcoin's Long-Term Security Model

Fidelity Digital Assets has pushed back against concerns that Bitcoin’s long-term security will deteriorate as mining rewards decline, arguing in a new research report that the network’s economic incentives remain sufficient to secure the blockchain over time.

The report, authored by Fidelity research analyst Daniel Gray, reiterated the view that Bitcoin’s security depends on more than block rewards. Transaction fees, market incentives and other economic forces continue to encourage miners to secure the network and make sustained attacks prohibitively expensive, it said.

The findings challenge a longstanding criticism that each quadrennial halving weakens Bitcoin’s security by reducing the issuance of new coins. Critics argue that declining block rewards could eventually erode miners’ incentives unless transaction fees grow enough to offset the shortfall.

The issue has become one of the most closely watched long-term questions surrounding Bitcoin (BTC), whose fixed supply schedule gradually reduces new issuance until block subsidies eventually disappear. Whether transaction fees and other incentives can sustain network security remains a central debate among developers and market participants.

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Since April 20, 2024, Bitcoin miners have received a subsidy of 3.125 BTC for each block they mine, down from 6.25 BTC during the previous halving cycle. However, Gray argued that lower issuance has not translated into weaker incentives for miners because Bitcoin’s rising price has more than offset the decline in block rewards.

He pointed to the growth in average daily miner revenue, which increased from roughly $26,300 during Bitcoin’s first halving cycle to more than $40.2 million today. “Despite declining issuance, miner incentives — and by extension, network security — historically strengthened alongside Bitcoin’s price,” Gray wrote.

Bitcoin’s average daily miner revenue has increased substantially across halving cycles. Source: Fidelity Digital Assets

Related: Nvidia’s $20 billion debt boom reinforces Bitcoin miners’ AI pivot

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Public Bitcoin miners face mounting financial pressure

While Fidelity argues that Bitcoin’s long-term incentive structure remains intact, many publicly traded mining companies continue to face near-term financial pressure. Some industry analysts have described the current environment as one of the most challenging on record, citing lower mining rewards, rising costs and growing competition.

In response, several miners have diversified into artificial intelligence and high-performance computing, leveraging existing power infrastructure and data center assets to meet growing demand for AI workloads rather than relying solely on Bitcoin mining.

A recent report by VanEck estimated that publicly traded miners could require up to $50 billion in additional capital to fully transition to AI infrastructure, underscoring the scale and cost of the shift.

Public miners face a large funding gap in realizing their AI ambitions. Source: Miner Weekly

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“A Bitcoin mine can run with relatively simple buildings, modular infrastructure and ASIC fleets that tolerate fast curtailment,” Blocksbridge Consulting wrote in a recent Miner Weekly publication. “AI and HPC facilities require higher standards for uptime, cooling, electrical redundancy, networking and customer support.” 

Related: Crypto Biz: Is AI the exit strategy for miners?

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DCG-Backed Yuma Introduces Fund to Give Institutions Bittensor Exposure

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Crypto Breaking News

Digital Currency Group-backed investment firm Yuma has launched the Yuma Total Market Fund, a pooled product designed to give institutional investors diversified exposure to the Bittensor ecosystem—without requiring them to pick individual subnet tokens.

Announced on Thursday, the fund is structured to provide exposure to Bittensor’s native TAO token alongside a basket of AI-focused subnets. Yuma says the aim is to package participation in Bittensor’s decentralized AI infrastructure economy into a single vehicle, with seed capital provided by an undisclosed anchor investor.

Key takeaways

  • Yuma’s new fund targets broad exposure to Bittensor via TAO plus a basket of AI subnet assets in one pooled strategy.
  • The firm positions the approach as simpler than selecting and managing individual subnet tokens directly.
  • Network “subnet value” figures vary materially depending on the tracker used—Yuma cites $900M+ across 128 subnets, while Taostats points to roughly $300M.
  • Institutional interest in Bittensor-linked assets has been rising, reflected in Grayscale’s evolving TAO weighting and filings for TAO exchange-traded products.
  • Renewed attention to decentralized AI follows US Commerce Department actions impacting access to Anthropic models, underscoring the debate over reliance on centralized providers.

A fund built around Bittensor’s subnet economy

Bittensor is a decentralized network for building AI infrastructure and applications, operating through specialized subnets. These subnets focus on different areas such as compute, marketplaces, and identity. Rather than betting solely on the performance of TAO as a single token, Yuma’s strategy blends exposure to TAO with additional subnet-related assets.

According to Yuma, Bittensor’s 128 subnets collectively represent more than $900 million in combined value. However, data from network tracker Taostats suggests a lower combined subnet value—closer to $300 million. For investors, this gap matters because the “size” of the subnet economy can be measured differently depending on the methodology behind network trackers, and those assumptions influence how meaningful “diversification across subnets” really is.

Yuma did not disclose the anchor investor that provided seed capital. Still, the launch signals a shift in how asset managers are structuring access to decentralized AI systems: instead of treating Bittensor as a single-token theme, they are increasingly packaging it as an ecosystem.

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How institutional allocations are changing for TAO

Institutional exposure to Bittensor-linked assets has broadened alongside the network’s expanding subnet economy, and TAO allocations within established funds offer a window into how managers are rebalancing their decentralized AI theses.

In April, Grayscale increased TAO’s weighting in its Grayscale Decentralized AI Fund to 43% during the fund’s quarterly rebalance. Since then, TAO’s allocation has fallen to about 20%, while Near Protocol’s NEAR has become the largest holding at roughly 44%.

That evolution highlights a familiar dynamic in crypto asset management: even when a thesis is “decentralized AI,” the portfolio can still rotate as managers weigh relative opportunities across tokens they view as part of the same broader category. For readers, it suggests that TAO may remain central to decentralized AI exposure, but it is not immune to shifting portfolio construction as other ecosystem players gain weight.

ETF momentum: filings for TAO exposure

Beyond private funds, the push to bring TAO exposure into more traditional investment wrappers is also accelerating. Asset managers have been filing with US regulators to create exchange-traded products tied to Bittensor.

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In April, Bitwise filed for a TAO Strategy ETF with the US Securities and Exchange Commission (SEC). Grayscale, meanwhile, submitted an amended registration statement aimed at converting its existing Bittensor Trust into a spot TAO exchange-traded fund that would be listed on NYSE Arca, if approved.

These filings reflect growing demand from investors who want exposure to decentralized AI through regulated market infrastructure. If regulators approve spot TAO structures, it could reduce friction for institutional allocators who prefer standardized instruments over bespoke crypto holdings.

Why decentralized AI is back in focus

The interest in Bittensor’s model is occurring amid renewed scrutiny of centralized AI access. The case for decentralized AI—where AI infrastructure and computing are distributed across blockchain-based networks rather than relying on a single provider—has gained traction after the US Commerce Department suspended public access to Anthropic’s Fable 5 and Mythos 5 models over national security and export control concerns.

Grayscale head of research Zach Pandl argued that the restrictions underscored the risks of centralized control of AI. According to Pandl, investors may seek alternatives such as Bittensor and its TAO token as they look for ways to avoid single-provider chokepoints.

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While the restrictions initially tightened, the situation appears to be easing. The Commerce Department restored access to Mythos 5 on Friday, and Axios reported Saturday that the Trump administration is expected to allow Anthropic to resume public access to Fable 5 as soon as next week.

Even if access returns quickly, the episode has already reframed parts of the conversation around decentralized AI. For market participants, it raises a practical question: are investors buying “decentralized AI” as a speculative crypto theme, or as a hedge against policy-driven disruptions that can affect availability and control of AI models?

What to watch next

With Yuma’s fund now live and multiple managers pursuing TAO-linked ETF pathways, the next signal to monitor is how these products structure their exposure to TAO versus subnet baskets—and whether regulatory outcomes for spot listings translate into broader institutional demand for Bittensor ecosystem exposure.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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China’s AI Models Gain Ground on Anthropic and OpenAI

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China’s AI Models Gain Ground on Anthropic and OpenAI

Chinese AI models are gaining ground on Anthropic and OpenAI after Z.ai released GLM-5.2, an open-source system running at roughly one-sixth the cost of US frontier labs. The launch arrived as Washington tightened access to American models.

The timing reshaped the entire competitive picture across the global AI industry in just one week.

How GLM-5.2 is Reshaping the Chinese AI Race

An open-source AI model is a system whose weights can be freely downloaded, fine-tuned, and run on any infrastructure without the original developer’s permission. GLM-5.2 belongs to that category, and its release has triggered the loudest reaction from Silicon Valley since DeepSeek’s debut last year.

The model carries serious technical credentials. Z.ai, formerly known as Zhipu AI, designed GLM-5.2 with 750 billion parameters and a 1-million-token context window.

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Furthermore, the system runs entirely on domestic Chinese chips, a critical detail given the ongoing United States export restrictions.

Benchmarks tell the story. GLM-5.2 now sits within a single percentage point of Anthropic’s Opus 4.8 on a closely watched agentic evaluation.

As a result, the gap between Chinese open models and the very top closed US systems has shrunk faster than most industry forecasts had anticipated.

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The release timing was anything but accidental. GLM-5.2 launched a day after Anthropic disabled global access to its most advanced models, including Fable 5 and Mythos. Moreover, OpenAI moved to limit access to GPT-5.6 following a separate government request that same week.

Co-founder Tang Jie addressed the contrast directly. He called the Anthropic suspension “deeply regrettable” and said frontier intelligence should not belong to a few people or be subject to sudden rule changes.

Furthermore, his framing positioned Chinese open weights as the safer institutional bet.

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Markets responded immediately. Z.ai shares surged more than 30% in Hong Kong trading and now sit up over 800% since debuting in January. JP Morgan projects Z.ai revenue to expand by more than 534% this year, with profitability arriving by 2028.

Knowledge Atlas Tech Joint (Zhipu AI) Price Performance. Source: Yahoo Finance

Why the Chinese AI Push Now Hits Anthropic and OpenAI

The cost advantage is the most damaging factor for US labs. DeepSeek V4 Pro charges $3.48 per million output tokens. Anthropic’s Fable 5 charged $50 for the same output. As a result, enterprise buyers are now openly rethinking their entire AI vendor relationships.

Adoption metrics support the shift. OpenRouter, a popular AI aggregator platform, now shows that Chinese models hold the top four positions among the most widely used systems globally. DeepSeek, MiniMax, Tencent, and Xiaomi have collectively passed every major US frontier provider by token traffic.

The rotation also extends well beyond price. Open-source models can be downloaded, fine-tuned, and run permanently. As a result, neither developers nor governments can revoke access to a system already running on a customer’s own servers, a quality now suddenly more valuable than raw frontier performance.

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The competitive picture remains nuanced. DeepSeek itself estimates that Chinese models trail leading US systems by 3 to 6 months in terms of pure capability.

However, that gap matters less when access becomes the primary risk factor, and pricing determines whether production is viable or token economics are prohibitive.

The broader policy backdrop favors the Chinese push. Washington’s restrictions on Anthropic and OpenAI may end up vindicating China’s broader tech self-sufficiency vision, which accelerated after the 2022 Biden administration chip controls landed.

Furthermore, demand for Chinese open models is rising fastest across developing economies worldwide.

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Z.ai also plans a dual listing in Shanghai to fund a long-term push toward artificial general intelligence. The next model, GLM-5.5, is expected to launch in August.

The post China’s AI Models Gain Ground on Anthropic and OpenAI appeared first on BeInCrypto.

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Sam Altman ChatGPT AI Predicts Crazy XRP Price by End of 2026

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Sam Altman ChatGPT AI Predicts Crazy XRP Price by End of 2026

ChatGPT AI just made the case that XRP price prediction worst chapter is finally closing even though the chart has not caught up yet. The model predicts a climb to $3.50 to $5.00 by the end of 2026, with an extreme scenario stretching as far as $6.50.

The bull case treats XRP as a coin whose fundamentals have quietly outrun its price for months. With XRP sitting at $1.05 today, the model leans on the SEC battle being largely behind the asset now, which removes the single biggest overhang that kept institutional money on the sidelines for years.

Expanding institutional adoption of the XRP Ledger is another pillar, alongside growing real world asset tokenization activity that gives the network genuine utility beyond speculation.

RLUSD continues strengthening the broader Ripple ecosystem, and increasing institutional access through spot XRP ETFs adds a fresh on ramp for capital that previously had no clean way into the asset.

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Source: ChatGPT AI XRP Price Prediction

The timing piece matters too, since the model expects the broader crypto bull market to regain momentum around November as liquidity improves and US crypto legislation keeps advancing.

If that broader momentum shows up alongside these fundamental improvements, XRP could finally start closing the gap between its improving fundamentals and its lagging price, with an extreme upside scenario opening up if ETF inflows materially exceed expectations and usage accelerates faster than expected.

The bear case zeroes in on something subtle but important. The biggest risk is that Ripple’s enterprise success keeps benefiting RLUSD and its payment network more than it benefits direct XRP demand, meaning the token itself could lag even if the broader ecosystem thrives.

Macro weakness or slower adoption could also keep capital sitting on the sidelines rather than flowing into XRP specifically.

Xrp (XRP)
24h7d30d1yAll time

Even with that risk on the table, the model still frames the risk reward as favorable for investors willing to accept volatility, since much of the historical regulatory discount has already been priced out while several real catalysts still lie ahead.

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XRP Price Prediction: XRP Waits For Its Fundamentals To Finally Catch The Chart

The daily chart shows XRP at $1.05422 after a brutal, sustained decline from highs above $3.65 set back in July of last year.

That drop has been one of the longest grinding downtrends in this entire series, briefly interrupted by a bounce toward $2.40 in November before sellers took back control completely.

The most recent leg lower in June pushed price to a fresh cycle low near $1.04, right where it sits today. That kind of extended slide with very few meaningful relief rallies suggests sellers have remained firmly in control for the better part of a year.

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Resistance sits first near $1.20, the level price keeps failing to hold above during recent bounce attempts, then a much heavier ceiling near $1.60 where multiple rejections piled up earlier this year. Support is being tested right at current levels near $1.04, with no clear floor visible below that on this chart.

The overall pattern here is a textbook descending staircase, similar to what showed up on XRP’s own chart a few weeks back, with each rally attempt landing lower than the one before it.

Momentum on the daily candles looks weak and still pointed down, without much sign yet of the kind of stabilization that usually comes before a real reversal.

Given how far price would need to travel just to reach the low end of this prediction, XRP likely needs to reclaim $1.60 and hold it before the fundamental story ChatGPT is describing starts showing up on the chart instead of just in the headlines.

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Here is What ChatGPT AI Predicts For LiquidChain Near Future, Very Bullish

Sitting at resistance waiting for a breakout is not positioning. It is standing in line.

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Bitcoin, Ethereum, and XRP have been pressing against the same ceilings for weeks. The catalyst that unlocks the next leg is perpetually one data print away.

The institutional inflows are perpetually next quarter. Every large-cap trader waiting for a breakout is waiting on a decision that belongs to someone else’s balance sheet.

Early-stage infrastructure plays by completely different rules, Copilot AI predicts. Capital that would vanish as statistical noise at Bitcoin’s scale moves a small undiscovered project by multiples.

The asymmetric return lives in one place only: the gap between what something is genuinely worth and what the market currently thinks it is worth. That gap exists because the project has not been found yet. The moment it gets found, the gap is gone.

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Cross-chain fragmentation has been extracting value from DeFi participants since the first bridge went live and nobody has eliminated it. Bitcoin, Ethereum, and Solana were engineered as independent systems with no shared architecture and no intent to interoperate.

Every transaction that crosses those boundaries pays the price of that design in fees, slippage, and execution failures. Bridges were supposed to be the solution. They became the mechanism through which the problem collects its fee.

LiquidChain eliminates the fee entirely. Three networks inside a single execution layer. One deployment reaches all of them. No cross-chain tax on any interaction anywhere.

ChatGPT AI flagged it as worth watching. The presale is at $0.01454 with just over $860,000 raised.

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Execution is unproven. Adoption is unknown. Established assets offer a predictable ride toward a ceiling that is already fully visible. LiquidChain is an entry point that disappears once the market finds it.

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XRP Finally Shows 2 Bullish Signals After Crashing to $1: What’s Next for Ripple?

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June has been brutal for essentially the entire cryptocurrency market, and Ripple’s cross-border token is no exception. The asset lost its position in terms of market cap to USDC as it dipped to $1.01 (on most exchanges) during last week’s crash.

Now, though, a popular analyst outlined the first glimmer of hope for XRP, which could lead to a quick short-term rebound.

2 Bullish Signs

The first is the well-known Tom DeMark (TD) Sequential indicator, a popular metric used to determine the underlying asset’s trend exhaustion in either direction. It has finally flashed a buy signal after XRP’s recent crash that drove it to a multi-year low. According to Martinez, this pattern, which has a relatively high success rate when it comes to the cross-border token, could mean a “one-to-four daily candlestick relief rebound.”

Separately, the analyst outlined the formation of a Morning Star Doji candlestick pattern during the past three daily sessions. He added that this classic indicator is used to identify local price bottoms.

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Martinez predicted that if buying volume accelerates in tandem with the aforementioned signals, Ripple’s asset could rise to the first major obstacle at $1.30. Recall that it challenged that level last week during the short-lived market-wide revival, but it was rejected there, and the subsequent collapse pushed it south to $1.01.

In another separate post, though, Martinez highlighted the next significant support levels for XRP if the market structure breaks down again. If the asset decisively loses the support at $1.06, the next in line are at $0.80, $0.62, and $0.51 based on the UTXO Realized Price Distribution (URPD).

Painful June

As with most cryptocurrencies, XRP would require a miracle to turn the tide around in June. The month so far has been nothing short of a massacre, as Ripple’s token has shed more than 20% of its value. This makes it its worst single-month performance since February 2025, when it tumbled by over 29%.

On the plus side, July has been historically a positive month for the asset, especially in the past six editions, all of which have been in the green. In fact, all except July 2021 brought double-digit gains, including massive surges in 2020 and 2023. Almost all of those followed a painful June.

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XRP Monthly Returns on CryptoRank
XRP Monthly Returns on CryptoRank

The post XRP Finally Shows 2 Bullish Signals After Crashing to $1: What’s Next for Ripple? appeared first on CryptoPotato.

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Hyperliquid Criticized Over Permissionless Claims After MAS Alert

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Genius Launches G.OX to Bring Capital-Efficient Options Trading to Crypto Markets

Popular investor and entrepreneur Kyle Samani has accused Hyperliquid of misleading the public over its permissionless status. The Forward Industries chairman made the claim after Singapore’s financial regulator added the platform to its Investor Alert List.

The Monetary Authority of Singapore (MAS) placed Hyperliquid on its Investor Alert List (IAL) on June 26. The IAL flags entities that residents may mistakenly perceive as licensed or MAS-authorized. An IAL listing carries no ban or enforcement weight. It signals, instead, that local users may not receive MAS protections if something goes wrong on the platform.

Hyperliquid Defends Its Permissionless Infrastructure

Hyperliquid responded to the Singapore IAL listing, noting that it has never claimed MAS licensing or authorization. The platform maintained that users retain full self-custody and all transactions settle transparently on-chain. It added that nothing about the network has changed.

Bybit received the same warning earlier in June. The MAS has been tightening oversight of offshore exchanges throughout 2026. It ordered unlicensed platforms to seek regulatory approval or cease operations accessible to Singapore residents.

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Samani’s Case Against Permissionlessness

Samani took direct aim at Hyperliquid’s core claims.

Hyperliquid is not permissionless. Stop gaslighting the public.

Samani

He argued that genuine permissionlessness requires at a minimum two conditions. The protocol must be open source. Validators must also operate globally, not concentrated in a single location.

He further raised governance concerns. Samani said the Hyperliquid Foundation can jail validators and remove them from the active set without justification.

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Furthermore, the Foundation can push forced software upgrades on validators, he argued, stripping them of control over their own nodes.

Hyperliquid’s current setup lends some weight to those claims. The network runs only 24 active validators and plans a modest expansion to 27. Its node repository distributes a signed binary rather than full source code. The team says open-sourcing will follow once HyperCore reaches feature completion.

Samani’s Motivations Under Scrutiny

Critics have previously targeted Hyperliquid on similar decentralization grounds, and the platform has typically held its position. Samani’s Multicoin Capital exit in February 2026 adds personal context. His former firm held notable exposure to competing protocols, prompting some observers to question his motivations.

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How Hyperliquid responds to pressure from regulators and industry critics may shape its standing with institutional users in the months ahead.

The post Hyperliquid Criticized Over Permissionless Claims After MAS Alert appeared first on BeInCrypto.

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