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Pi Network comeback stalls as KYC update meets weak PI price

Pi Network has returned to market attention after its team shared a new Know Your Customer update. PI reclaimed top-50 attention as KYC progress met weak price action and fresh supply concerns.Over 18.1 million users passed KYC, but tentative checks still keep some Mainnet migrations pending.Crypto.news data shows PI near $0.17, with weekly losses still keeping traders cautious for now.　　The project said more than 18.1 million users have passed native KYC checks, while over 16.7 million Pioneers have moved to Mainnet. The update gives the network a new user-growth figure at a time when PI is trying to recover from recent price weakness.　　The team has often linked KYC to its “one person, one account” model. The goal is to limit bots, fake users, and duplicate accounts before balances move to Mainnet. That system remains central to Pi Networks pitch as a large identity-verified blockchain community.　　Tentative KYC keeps user concerns alive　　The latest update also addressed users stuck in Tentative KYC. The team said this status “does not mean rejection”, but means some accounts need more checks before approval. That claim may ease some concerns, but it does not remove the long wait faced by users who say they have remained in

05-13

MoonPay acquires Dawn Labs to enhance AI trading capabilities

Tech　　MoonPay acquires Dawn Labs to enhance AI trading capabilities　　MoonPay just bought an AI research lab and immediately shipped a product that lets you type a trading strategy in plain English and have it execute autonomously.　　The acquisition of Dawn Labs, announced on May 11, brings applied AI research directly into MoonPays infrastructure. Dawn Labs founder Neeraj Prasad is joining as Chief Engineer of MoonPay Labs.　　What Dawn CLI actually does　　The centerpiece product launching alongside the acquisition is Dawn CLI, a tool that converts natural language trading instructions into live, automated trades. You describe what you want to do in a sentence, and the system handles the research, writes the code, and executes the strategy for you.　　The pipeline works in four stages. First, a user inputs a trading idea in plain text. Then the system conducts automated research on the relevant market conditions. From there, it generates the trading code. Finally, it handles live execution.　　The initial launch targets Polymarket, the prediction market built on the Polygon blockchain. MoonPay is positioning this squarely at users who lack programming skills or deep quantitative expertise.　　Plans are already in place to expand beyond Polymarket to additional exchanges and asset classes, though no specific timelines or platform names

05-13

GitLab cuts jobs to invest in AI agents market opportunity

Tech　　GitLab cuts jobs to invest in AI agents market opportunity　　GitLab is laying off employees and restructuring its entire organization to chase the AI agents gold rush. CEO Bill Staples framed the move as a strategic reinvestment, channeling the savings from workforce reductions into what the company calls an “AI agents push.”　　The company is reorganizing its R&D division into 60 teams, flattening management layers, and cutting its operational footprint by 30%.　　What GitLab is actually doing　　GitLab plans to deploy AI agents internally to automate reviews, approvals, and other processes that currently require human judgment. The idea is that by dogfooding its own AI tools, GitLab can refine them before selling them to its customer base of software development teams.　　The bigger picture: AI as the justification for layoffs　　GitLab is far from the only tech company wielding AI as the rationale for workforce reductions. Amazons CEO has acknowledged that recent tech layoffs have been more about adapting company cultures and correcting post-pandemic bloat than about robots replacing humans.　　Experts note that current AI capabilities are most effective at automating repetitive, low-skilled tasks, while complex engineering work remains firmly in human territory for now.　　What this means for investors　　GitLab competes with GitHub, which has the backing of

05-13

WTI Price Forecast: Struggles to reclaim $100, outlook remains firm

WTI US Oil declines to near $97.20 during the day. However, the near-term bias stays constructive as price holds above the 20-day exponential moving average (EMA) at roughly $95.80, suggesting the recent pullback remains a correction within an uptrend.　　The Relative Strength Index (RSI) around 53 keeps a neutral-to-positive tone, hinting that upside momentum is still intact but not overstretched.　　On the downside, immediate support aligns with the 20-day EMA at $95.80, where a break would expose a deeper retracement toward $90. As long as buyers defend this moving average on closing bases, the broader recovery bias is likely to persist, leaving scope for fresh attempts toward the recent highs around the $100 handle, followed by the April 30 high of $107.35.

05-13

MARA Holdings (MARA) Stock Plunges 5% Following $1.5B Bitcoin Liquidation

Marathon Digital Holdings, Inc., MARA　　The equity reached an intraday bottom of $11.74 immediately after the earnings announcement before staging a modest rebound. Extended trading saw an additional 1.86% decline.　　First-quarter revenue totaled $174.6 million, representing an 18% year-over-year decrease. The net deficit of $1.26 billion more than doubled the $533 million shortfall recorded during the equivalent period last year. Bitcoins valuation declined approximately 22% throughout the quarter, significantly impacting financial performance.　　Despite Tuesdays setback, MARA shares have appreciated roughly 32% over the trailing 30-day period.　　Major Bitcoin Liquidation Details　　MARA divested 20,880 BTC at a mean price of $70,137 per token during Q1, realizing approximately $1.5 billion in total proceeds. The majority of these transactions—15,133 BTC generating about $1.1 billion—occurred between March 4 and March 25.　　These funds were strategically allocated to repurchase the companys convertible notes, reducing convertible obligations from approximately $3.3 billion to $2.3 billion, representing a 30% contraction. This debt restructuring produced a $71 million accounting gain.　　Following these dispositions, MARA fell from second to fourth position among publicly listed Bitcoin holders. The company maintains 35,303 BTC in treasury, currently valued at approximately $2.84 billion.　　Strategic Transformation Toward AI Infrastructure　　MARA is executing a fundamental business model transformation, rebranding itself as “a digital infrastructure company

05-13

Japan Open Chain eyes B2B payments as EJPY plan takes shape

Japan Blockchain Foundation has announced plans to issue EJPY, a Japanese yen-pegged stablecoin, on Japan Open Chain and Ethereum. EJPY targets B2B settlements on Japan Open Chain, with Ethereum support planned from the start.EJPY launch terms and timing remain undecided pending regulatory reviews, trustee selection, and partner talks.JPYC, JPYSC, and bank pilots show Japans yen stablecoin market is becoming crowded fast now.　　The foundation operates the consortium behind Japan Open Chain, an Ethereum-compatible Layer 1 public blockchain run by Japanese enterprises.　　The group said EJPY is being prepared under a trust-type structure, with the foundation acting as settlor. It said talks with potential trustee businesses cover issuance, redemption, trust asset management, system needs, and legal compliance.　　Meanwhile, EJPY is being prepared first for Japan Open Chain. The foundation said the token could support B2B settlements, digital asset settlements, remittances, and Web3 payments. It also said EJPY is “expected to generate transactions based on real demand,” a forward-looking claim that still depends on partners, users, and approvals.　　Japan Open Chain is operated by 14 validators, including Dentsu, NTT Communications, G.U.Technologies, SBINFT, Pacific Meta, and Nethermind. The network says it plans to expand to 21 validators over time. Its native JOC Coin was listed on Zaif

05-13

S&P 500: Equities pressured by Oil and inflation – Deutsche Bank

Finance　　S&P 500: Equities pressured by Oil and inflation – Deutsche Bank　　Deutsche Banks Jim Reid notes that higher Oil prices and hawkish US inflation data created a challenging backdrop for equities. The S&P 500, Nasdaq Composite and Magnificent 7 all declined but recovered from deeper intraday losses, while defensive sectors such as healthcare and consumer staples outperformed. European indices, including the DAX and CAC 40, also weakened on Iran and Oil concerns.　　US and European stocks retreat　　“The hawkish inflation data combined with the Middle East conflict led to a challenging backdrop for equities.”　　“However, this also wasnt helped by chipmakers and tech selling off with the Philly Stock Exchange Index falling back by -3.01%, although well off the -6.75% intra-day lows.”　　“Elsewhere, the S&P 500 (-0.16%), Nasdaq Composite (-0.71%) and Magnificent 7 (-0.49%) also fell but again bounced off the lows.”　　“The mood was more challenging in Europe, with multiple indices declining with the Iran and oil fears.”　　“That included the DAX (-1.62%), CAC 40 (-0.95%) and Stoxx 600 (-1.01%), although the FTSE 100 (-0.04%) losses were not as steep.”

05-13

Euro: Range trading against US Dollar in low vol regime – ING

Finance　　Euro: Range trading against US Dollar in low vol regime – ING　　INGs Chris Turner highlights that EUR/USD three‑month implied volatility trades well below realised and near the lower end of its five‑year range, pointing to a range‑bound environment. With slightly greater upside risks to Oil prices, ING sees EUR/USD drifting lower in coming sessions but expects strong buying interest around 1.1650, while upcoming Eurozone Gross Domestic Product (GDP) and European Central Bank (ECB) speeches could shape expectations for a June rate hike.　　Range-bound pair with downside risks　　“EUR/USD three-month traded volatility is now 5.7%. That is more than 1% below realised volatility and not far from the 5.2/5.3% lower end of the range for traded volatility seen over the last five years. That does not mean that a new trend cannot occur, but when looking at the relatively flat risk reversal (the price of a euro call over an equivalent euro put), the conclusion is more range-bound EUR/USD trading.”　　“Given that we see slightly greater upside risks to oil prices from current levels, EUR/USD could come a little lower over the coming sessions. However, good demand should be found once again at 1.1650. On the calendar today is the second release of 1Q26

05-13

XRP Breaks $1.46 Despite $434M In Futures Selling – Discover What Comes Next

Tech　　XRP Breaks $1.46 Despite $434M In Futures Selling – Discover What Comes Next　　XRP is showing strength as the market recovers from Februarys lows, with the price pushing above $1.46 and derivatives activity rebuilding across major exchanges. The move is constructive on the surface — but a CryptoQuant report tracking the flow data beneath the price action has identified a structural divergence that complicates the straightforward bullish reading considerably.　　The open interest picture confirms that leverage is returning. On Binance, XRP open interest has climbed from approximately 207 million on April 30 to nearly 232 million today — a meaningful increase in derivatives positioning over a short period that reflects growing trader participation as the price recovers. In isolation, rising open interest during a price advance is a normal feature of a strengthening market.　　Technically, XRP has improved considerably from the February lows near $1.10. Buyers successfully reclaimed the 50-day moving average and pushed the price back into the $1.40–$1.50 region, which now functions as the most important short-term battleground. That area has repeatedly rejected upside attempts since March, showing that supply remains active whenever XRP approaches breakout territory.　　At the same time, sellers have failed to force a meaningful breakdown despite multiple pullbacks.

05-13

Baidus ERNIE 5.1 tops AI leaderboards, costs 94% less to train

Tech　　Baidus ERNIE 5.1 tops AI leaderboards, costs 94% less to train　　Baidu just did something that should make every AI lab reconsider its cloud computing budget. The companys ERNIE 5.1 model, launched on May 9, has climbed to fourth place globally on the Arena leaderboard and claimed the top spot among all Chinese AI models, with a score of 1,223.　　The kicker: it got there while spending just 6% of what competitors typically burn on pre-training.　　How Baidu pulled it off　　The secret, according to Baidu, is what the company calls a “parameter efficiency” leap. ERNIE 5.1 reduced its total parameters by two-thirds compared to ERNIE 5.0, while only activating half of the remaining total size during inference.　　The result has been independently validated as achieving flagship-level intelligence.　　The timing is notable. Sino-US tech competition has intensified substantially, with US export controls on advanced chips forcing Chinese AI labs to squeeze maximum performance from constrained hardware. ERNIE 5.1‘s cost efficiency isn’t just an engineering flex. It‘s a strategic response to a geopolitical reality where access to cutting-edge Nvidia GPUs isn’t guaranteed.　　The crypto angle: Ernie Chain and on-chain AI　　Baidu hasn‘t launched a token for ERNIE 5.1 itself. But the company’s blockchain initiative, Ernie Chain, has been live

05-13

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