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Ripple CEO’s Comments Stir Up A Wave, Here’s What He Said

Ripple CEO Brad Garlinghouse's past prediction that Bitcoin could reach $200,000 has resurfaced, drawing attention from XRP commentators. He cited the shifting U.S. regulatory landscape from a headwind to a tailwind as a key driver, though he provided no specific timeline. The upcoming CLARITY Act is highlighted as a potential catalyst for a Bitcoin bull run and broader crypto adoption. Meanwhile, Garlinghouse declined to give an XRP price prediction due to Ripple's significant holdings, but emphasized XRP remains central to the company's vision. At the time of writing, XRP was trading around $1.32.

bitcoinist04/13 17:02

Ripple CEO’s Comments Stir Up A Wave, Here’s What He Said

bitcoinist04/13 17:02

Bitcoin Pulls Back To $71,000 As Profit-Takers Strike Again

Bitcoin has retraced to around $71,000 as on-chain data indicates a significant increase in profit-taking activity. According to Glassnode, the Bitcoin Realized Profit metric, which tracks the amount of profit investors are realizing, spiked multiple times recently, exceeding $20 million per hour during the rally. This selling pressure has contributed to Bitcoin's inability to sustain momentum above $73,000, reinforcing a pattern where approaches to the $70,000–$80,000 range face liquidity constraints and profit-taking. Additionally, 13.5 million addresses are currently at a loss, suggesting many investors bought at higher prices. If the pullback continues, this number could rise toward the 16 million mark seen earlier this year.

bitcoinist04/13 15:32

Bitcoin Pulls Back To $71,000 As Profit-Takers Strike Again

bitcoinist04/13 15:32

$200,000 Prize Pool Unlocked! Zoomex Teams Up With Brand Ambassador Emiliano Martínez To Launch EPL Prediction Round 2

Cryptocurrency trading platform Zoomex has launched the second round of its "EPL Points Prediction Campaign" with a $200,000 prize pool, endorsed by brand ambassador and World Cup-winning goalkeeper Emiliano Martínez. Users can predict English Premier League match outcomes and earn points for correct predictions, daily trading, and deposits. Points can be exchanged directly for cryptocurrencies like BTC, ETH, and XRP, or used in a lucky draw for other tokens. The campaign emphasizes transparency and fairness, aligning with Zoomex’s core values. Participants must complete a Unified Trading Account upgrade to join. Zoomex, with over 3 million users globally, holds multiple regulatory licenses and aims to provide a secure and user-friendly trading experience.

TheNewsCrypto04/13 14:59

$200,000 Prize Pool Unlocked! Zoomex Teams Up With Brand Ambassador Emiliano Martínez To Launch EPL Prediction Round 2

TheNewsCrypto04/13 14:59

The End of the Public Chain 'Money-Splashing' Era

The article argues that the traditional L1 blockchain grant model for ecosystem funding is fundamentally broken, not just in need of minor adjustments. It claims that over the past four years, billions of dollars have been poured into grants from major L1s like NEAR, Avalanche, and Aptos, yet this has failed to produce lasting, breakthrough projects or sustainable ecosystems. Instead, it has created a cycle where teams optimize for grant applications and short-term KPIs rather than building viable products for real users. The model is criticized for fostering a "hostage" situation: foundations are trapped by their own metrics and feel compelled to disburse funds to show growth, while teams become dependent on grant cycles, shaping their roadmaps around fundable proposals rather than market needs. This leads to a proliferation of "zombie" projects that survive on grants but lack organic growth. The author contrasts this with direct equity and token investments, like those made by Solana Ventures, which create long-term, aligned partnerships. The piece concludes that the era of grants for cold-starting ecosystems is over. The future winners will be L1s that compete by attracting truly great companies through strategic investments and by being the best place to build, not the most generous grant committee.

marsbit04/13 14:14

The End of the Public Chain 'Money-Splashing' Era

marsbit04/13 14:14

Is April a Good Time to 'Pick Up Bargains' in the Stock Market?

The article "Is April a Good Time to 'Bargain Hunt' in the Stock Market?" analyzes investment opportunities amid ongoing U.S.-Iran conflict tensions. Despite March market declines—major indices fell over 4%, with 85% of A-shares dropping—experts suggest April may offer a rebound chance as markets become "desensitized" to geopolitical shocks. Key factors include strong liquidity (high trading volumes, stable ETF levels), and the shift from "expectation-driven" to "reality-priced" markets with Q1 data releases. Top recommendations: Hong Kong’s Hang Seng Index (7 experts bullish),科创50ETF, undervalued stocks, and gold. Experts debate conflict duration but agree investors should adapt to a "wartime economy" framework, focusing on sectors like commodities (oil-driven PPI rebound), tech (despite high valuations), and export-oriented manufacturing. Advice includes defensive positioning, avoiding panic selling, and prioritizing assets with earnings support or inflation hedging. Overall, cautious optimism prevails with emphasis on long-term value over short-term speculation.

marsbit04/13 14:03

Is April a Good Time to 'Pick Up Bargains' in the Stock Market?

marsbit04/13 14:03

TAO is Elon Musk who invested in OpenAI, Subnet is Sam Altman

The article, titled "TAO is Elon Musk who invested in OpenAI, Subnet is Sam Altman," presents a critical analysis of the Bittensor (TAO) project. It argues that Bittensor functions as a decentralized AI marketplace where TAO tokens fund AI research via subnets. However, the author highlights a fundamental flaw: subnet operators have no obligation to return any value, such as AI models or profits, back to the TAO ecosystem or its token holders. This structure is likened to Elon Musk's early investment in the non-profit OpenAI, which later commercialized its technology without returning value to its initial benefactor. The bear case posits that Bittensor is essentially a wealth transfer from crypto speculators to AI researchers ("miners"). Subnets can use TAO incentives for development and then take their successful products elsewhere, leaving TAO holders with diluted tokens from inflation and no captured value. The lack of enforced equity or binding mechanisms means the project relies on a "hope" that subnet tokens maintain value. The optimistic perspective counters that two factors could create a successful, self-sustaining economy: 1) AI's perpetual and massive resource needs could incentivize subnets to stay for continued funding, and 2) crypto has a proven ability to aggregate resources through token incentives, as seen with Bitcoin and Ethereum. The conclusion states that investing in TAO is a bet on a博弈论 (game theory) miracle—that soft incentives alone will be enough to keep the best subnets within the ecosystem and create a flywheel effect. This outcome is possible but represents a highly skewed, low-probability success scenario amidst significant risks of failure.

marsbit04/13 14:01

TAO is Elon Musk who invested in OpenAI, Subnet is Sam Altman

marsbit04/13 14:01

Hermes Agent Guide: Surpassing OpenClaw, Boosting Productivity by 100x

A guide to Hermes Agent, an open-source AI agent framework by Nous Research, positioned as a powerful alternative to OpenClaw. It is described as a self-evolving agent with a built-in learning loop that autonomously creates skills from experience, continuously improves them, and solidifies knowledge into reusable assets. Its core features include a memory system (storing environment info and user preferences in MEMORY.md and USER.md) and a skill system that generates structured documentation for complex tasks. The agent boasts over 40 built-in tools for web search, browser automation, vision, image generation, and text-to-speech. It supports scheduling automated tasks and can run on various infrastructures, from a $5 VPS to GPU clusters. Popular tools within its ecosystem include the Hindsight memory plugin, the Anthropic Cybersecurity Skills pack, and the mission-control dashboard for agent orchestration. Key differentiators from OpenClaw are its architecture philosophy—centered on the agent's own execution loop rather than a central controller—and its autonomous skill generation versus OpenClaw's manually written skills. Installation is a one-line command, and setup is guided. It integrates with messaging platforms like Telegram, Discord, and Slack. It's suited for scenarios requiring a persistent, context-aware assistant that improves over time, automates workflows, and operates across various deployment environments.

marsbit04/13 13:11

Hermes Agent Guide: Surpassing OpenClaw, Boosting Productivity by 100x

marsbit04/13 13:11

Bitcoin Bearish Flag Is Still In Play, So Price Could Crash Again

Crypto analyst Captain Faibik warns that despite Bitcoin's recent surge above $70,000 and a brief rally to $73,000, the market remains in a bearish trend. He suggests the current uptrend is temporary and driven by a liquidity grab, potentially peaking between $77,000-$78,000. Following this, a 20% correction could occur, pushing the price down to the $54,000-$56,000 range, which would establish a new cycle low below the current $60,000 support. While bearish on Bitcoin, the analyst remains optimistic about altcoins, allocating 30% of his funds there. He advises investors to wait for confirmation before making moves.

bitcoinist04/13 12:31

Bitcoin Bearish Flag Is Still In Play, So Price Could Crash Again

bitcoinist04/13 12:31

Brother Sun "Rights Protection" Stands Up Against the Trump Family, WLFI Is the Real Scythe in the Crypto Circle

The article details the controversy surrounding World Liberty Financial (WLFI), a cryptocurrency project linked to the Trump family. It reports that WLFI allegedly used the DeFi lending protocol Dolomite, whose co-founder is also a WLFI advisor, as a disguised channel to sell tokens by collateralizing around 5 billion WLFI tokens to borrow approximately $75 million in stablecoins. Despite WLFI's claims that the loans were for ecosystem development and posed no liquidation risk, critics argue it was a way for insiders to cash out, shifting risk to retail investors. The piece highlights WLFI's significant price decline—over 66% since its September 2025 launch—and suggests the Trump family and insiders are the main source of selling pressure, as they control nearly 74% of the token supply. It also revisits WLFI’s prior move to blacklist 272 addresses, including those of investor Justin Sun, under the pretext of preventing large-scale sell-offs, which now appears to be an effort to reduce competition for their own sales. Sun publicly accused WLFI of exploiting users, freezing assets, and treating the crypto community as a "personal ATM." WLFI countered by threatening legal action. The author notes that while Sun’s criticism may gain sympathy, a legal battle in the U.S. against the well-connected Trump family would be risky for him. Finally, the article concludes that WLFI exemplifies how powerful elites can exploit crypto’s regulatory gray areas for profit, and urges the community to reject such projects driven more by political privilege than genuine decentralized finance ideals.

Odaily星球日报04/13 12:17

Brother Sun "Rights Protection" Stands Up Against the Trump Family, WLFI Is the Real Scythe in the Crypto Circle

Odaily星球日报04/13 12:17

Tsinghua's Prediction 2 Years Ago Is Becoming Global Consensus: Meta and Two Other Major AI Institutions Have Reached the Same Conclusion

Summary: In a remarkable validation of Chinese AI research, Meta and METR have independently reached conclusions that align perfectly with the "Density Law" proposed by a Tsinghua University and FaceWall Intelligent team two years ago. Published in Nature Machine Intelligence in late 2025, the law states that the computational power required to achieve a specific level of AI performance halves every 3.5 months. This convergence was starkly evident in April 2026. METR reported that AI capabilities are doubling every 88.6 days, while Meta's new model, Muse Spark, demonstrated it could match the performance of a model from the previous year using less than one-tenth of the training compute. When plotted, the growth curves from all three sources—using different metrics (parameters, compute, task length)—show an almost identical exponential slope. The findings have profound implications: AI inference costs are collapsing faster than anticipated, powerful edge-computing AI is becoming rapidly feasible, and the industry's strategy of simply scaling model size is becoming economically inefficient. The Chinese team, which has been building its "MiniCPM" model series based on this law since 2024, is seen as having a significant two-year lead in practical engineering experience, marking a rare instance where Chinese researchers pioneered a fundamental predictive trend in AI.

marsbit04/13 12:14

Tsinghua's Prediction 2 Years Ago Is Becoming Global Consensus: Meta and Two Other Major AI Institutions Have Reached the Same Conclusion

marsbit04/13 12:14

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