# Bài viết Liên quan Stability

Trung tâm Tin tức HTX cung cấp những bài viết mới nhất và phân tích chuyên sâu về "Stability", bao gồm xu hướng thị trường, cập nhật dự án, phát triển công nghệ và chính sách quản lý trong ngành tiền kỹ thuật số.

Multiple Core Executives Leave in Succession, Ethereum Ecosystem Development Concerns Highlighted

Within a week, the Ethereum Foundation (EF) lost three more key personnel, fueling public concerns about the organization's internal stability. Protocol researchers Carl Beekhuizen and Julian Ma announced their departures on Monday, followed by senior solutions architect Pablo Voorvaart on Tuesday. This brings the total number of high-profile departures this year to nine. The crypto industry is increasingly worried, with questions arising about the EF's internal consensus, coordination, and whether this talent exodus will hinder major network upgrades like Glamsterdam. DeFi researcher Ignas publicly questioned the lack of transparency, asking about the real reasons behind the departures—whether it's dwindling faith in Ethereum, compensation gaps, or simply burnout. Community reactions are mixed. Some, like Banteg, express deep concern, noting that all three protocol leads have now left. Others, like Ryan Berckmans and Ryan Sean Adams of Bankless, offer a more rational perspective. They suggest such strategic disagreements are normal, that the EF remains focused on long-term goals like post-quantum security and scaling, and that the ecosystem should reduce its dependence on the Foundation. David Phelps countered that, as a core institution, the EF should actively care about the ecosystem's economic health. This wave of departures follows earlier signs of turmoil. Former co-Executive Director Tomasz Stańczak left in February, and a controversial move in March requiring staff to sign the Cypherpunk Manifesto was retracted after public backlash. Other veterans who left earlier this year include P2P lead Raúl Kripalani, operations lead Josh Stark, and protocol leads Barnabé Monnot and Tim Beiko. The departing members are highly experienced. Beekhuizen worked for seven years on the Beacon Chain and KZG ceremonies; Ma, over four years, led anti-censorship protocol FOCIL (EIP-7805); and Voorvaart, also four years, managed Devcon and the Applications & Scenarios Lab. Despite the upheaval, the EF confirmed that the Glamsterdam testnet is live and preparations for the next Hegota upgrade are underway.

marsbit05/21 07:42

Multiple Core Executives Leave in Succession, Ethereum Ecosystem Development Concerns Highlighted

marsbit05/21 07:42

Turing Award Laureate Sutton's New Work: Using a Formula from 1967 to Solve a Major Flaw in Streaming Reinforcement Learning

New research titled "Intentional Updates for Streaming Reinforcement Learning" (arXiv:2604.19033v1), involving Turing Award laureate Richard Sutton, addresses a core challenge in deep reinforcement learning (RL): the "stream barrier." Current deep RL methods typically rely on replay buffers and batch training for stability, failing catastrophically when learning online from single data points (streaming). The authors propose a fundamental shift: instead of prescribing how far to move parameters (a fixed step size), their "Intentional Updates" method specifies the desired change in the function's output (e.g., a 5% reduction in value prediction error). It then calculates the step size needed to achieve that intent. This idea is inspired by the Normalized Least Mean Squares (NLMS) algorithm from 1967. Applied to value and policy learning, this yields algorithms like Intentional TD(λ) and Intentional AC. The method inherently stabilizes learning by adapting the step size based on the local gradient landscape, preventing overshooting/undershooting. In experiments on MuJoCo continuous control and Atari discrete tasks, Intentional AC achieved performance rivaling batch-based algorithms like SAC in a streaming setting (batch size=1, no replay buffer), while being ~140x more computationally efficient per update. The work demonstrates significant robustness, reducing reliance on numerous stabilization tricks. A remaining challenge is bias in policy updates due to action-dependent step sizes. Overall, this approach advances efficient, online, "learn-as-you-go" RL, enabling adaptive systems without massive data buffers or compute clusters.

marsbit05/10 06:28

Turing Award Laureate Sutton's New Work: Using a Formula from 1967 to Solve a Major Flaw in Streaming Reinforcement Learning

marsbit05/10 06:28

BTC Market Pulse: Week 16

Bitcoin exhibited strong bullish momentum in Week 16, with a 51.7% rise in price momentum and aggressive spot buying. Futures open interest increased by 7.2%, though funding rates shifted toward shorts. Options open interest grew while skew decreased, signaling reduced bearishness. ETF flows and trade volume rose, indicating strong institutional interest. On-chain activity showed slight consolidation, yet fee volume increased. The market displayed growing stability with more long-term holders and a higher proportion of supply in profit. Overall, sentiment is bullish with elevated engagement and risk appetite, alongside signs of caution and maturity.

insights.glassnode04/13 17:45

BTC Market Pulse: Week 16

insights.glassnode04/13 17:45

Why Aave’s $42B risk model faces its first real test after Chaos Labs’ exit

Risk management is central to DeFi protocol performance, especially during volatile periods. Aave, with $42.34B in TVL and $16.55B in loans, relies on continuous risk model adjustments rather than fixed settings. External teams like Chaos Labs have historically updated liquidation thresholds, borrow limits, and collateral rules in response to market conditions. Chaos Labs’ recent exit signals strain in Aave’s risk framework as the protocol scales. Their departure reflects deeper misalignments in risk management strategy and comes despite their critical role in overseeing Aave’s growth from $5.2B to over $26B in TVL. The exit also highlights operational and financial challenges, as the engagement remained unprofitable even with a proposed $5M budget. Aave now faces its first major test in risk continuity. Responsibility shifts to internal teams and other providers like LlamaRisk, but questions remain about response speed and coordination—especially as Aave introduces greater complexity with V4. While systems are currently stable, any delay in adjustments could allow risks to accumulate. Market confidence may now depend less on past performance and more on how effectively Aave manages this transition.

ambcrypto04/07 19:02

Why Aave’s $42B risk model faces its first real test after Chaos Labs’ exit

ambcrypto04/07 19:02

Bitcoin: What’s driving BTC price stability despite $111M liquidations?

Bitcoin's price remains stable near $67,000 despite $111 million in liquidations, driven by controlled leverage and steady spot demand rather than improved market sentiment. The Fear & Greed Index remains low at 13, indicating persistent caution. Open Interest rose 5.3% to $49.6 billion, with mild funding rates, suggesting managed exposure. Low Coin Days Destroyed (2.48 million) and Binary CDD (0.14) show long-term holders are not selling, reducing immediate supply. Steady retail and whale buying absorbs selling pressure without aggressive moves, keeping volatility compressed. However, the market remains tightly coiled, and any shift in supply or demand could trigger significant volatility.

ambcrypto04/06 14:12

Bitcoin: What’s driving BTC price stability despite $111M liquidations?

ambcrypto04/06 14:12

DeepSeek Paralyzed for 12 Hours: Is the Computing Power of Domestic Large Models Failing to Keep Up with Ambitions?

On the evening of March 29, DeepSeek, a leading Chinese large language model, experienced a 12-hour service outage affecting both its web and app platforms. The disruption, marked by repeated server failures and instability, raised significant concerns about the platform's reliability. Initial explanations pointed to overwhelming user traffic, but data did not support a sudden surge in users. Instead, the incident highlighted deeper structural challenges, particularly in computational supply struggling to keep pace with growing AI demands. As models become more complex—supporting longer context, advanced reasoning, and multimodal tasks—the computational load increases substantially. The outage also underscored emerging usage patterns like “lobster farming,” where automated, high-frequency API calls amplify server load. Meanwhile, anticipation for DeepSeek’s upcoming V4 model—featuring major upgrades like million-token context and stronger multimodal capabilities—suggests even greater future computational pressure. This incident signals a shift in the AI industry: competition is no longer just about model capability but also infrastructure stability, cost efficiency, and engineering scalability. The outage serves as an early warning of the systemic challenges facing AI platforms as adoption expands.

marsbit04/03 12:23

DeepSeek Paralyzed for 12 Hours: Is the Computing Power of Domestic Large Models Failing to Keep Up with Ambitions?

marsbit04/03 12:23

XRP Shows Unusual Stability As Volatility Hits 2026 Low – Here’s What This Means

XRP is exhibiting unusual price stability, holding above $1.40, while its realized volatility has dropped to a multi-month low of 0.5266, marking the lowest level of 2026. Analysts interpret this extreme volatility compression as a "calm before the storm," indicating the market is coiling and a significant price move is imminent. The Volatility Z-Score, currently at -0.9048, is a key metric to watch; a move into positive territory would signal returning momentum. Despite the quiet price action, on-chain activity on the XRP Ledger has exploded, with transaction volumes spiking to nearly 4 million in a single day, suggesting accelerating adoption and utility.

bitcoinist03/26 22:32

XRP Shows Unusual Stability As Volatility Hits 2026 Low – Here’s What This Means

bitcoinist03/26 22:32

Ethereum retail demand rises, yet ETH’s rally looks weak: Here’s why

Ethereum's market structure is undergoing a significant shift, transitioning from whale-driven accumulation to retail-led demand. While retail investors are actively buying dips, pushing order sizes toward the $1,600–$2,000 range, whale activity remains notably absent. This lack of large-holder conviction weakens the market's momentum and increases the risk of failed breakouts or prolonged range-bound movement. On-chain data shows a marginal increase in exchange reserves and steady inflows, suggesting whales are distributing assets rather than accumulating. Concurrently, the rally is primarily spot-driven with low leverage, as evidenced by stable funding rates and a slight decline in open interest. This supports short-term price consolidation but limits upside potential, making a sustained bullish breakout contingent on renewed participation from larger investors.

ambcrypto03/21 17:02

Ethereum retail demand rises, yet ETH’s rally looks weak: Here’s why

ambcrypto03/21 17:02

XRP stuck between $1.44–$1.54: Can whales trigger a breakout?

XRP's price is consolidating within a narrow range of $1.44–$1.54, currently near $1.46, but this stability masks a lack of institutional conviction. On-chain data reveals weak institutional participation, with the accumulation model in negative territory and no signs of aggressive buying or distribution. Historically, strong upward trends require sustained institutional inflows, which are currently absent. CME Futures Volume and Open Interest remain low, while ETF flows are inconsistent with minor inflows offset by outflows. Although whale accumulation provides a base, the broader absence of institutional demand prevents a decisive price breakout, leaving the market in a state of equilibrium dependent on fresh catalysts.

Ambcrypto03/20 00:02

XRP stuck between $1.44–$1.54: Can whales trigger a breakout?

Ambcrypto03/20 00:02

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