图解600亿里程碑（一）：TRC20-USDT三大优势

币界网Pubblicato 2024-07-18Pubblicato ultima volta 2024-07-18

币界网报道：

7月15日，TRC20-USDT迎来发行量突破600亿的里程碑时刻。作为波场网络的重要用例，TRC20-USDT具备转账速度快、安全性高、交易费用低三大优势，这极大提高了用户的使用体验，降低了大众拥抱加密货币的门槛。

这三大优势与波场TRON的特点有着密切联系。作为全球增速最快的公链，波场TRON有着卓越的性能，并始终高度重视安全性和易用性，将用户友好作为长期追求。同时，波场TRON还肩负着建设元宇宙金融自由港的使命，期待将区块链技术深度融入全球经济，而TRC20-USDT便是其中的典型代表，在波场生态中扮演着重要的角色。

截至目前，TRC20-USDT持有账户数超4700万，累计转账笔数达18.6亿笔，在新兴市场占据主导地位。伴随着TRC20-USDT的加速普及，波场TRON在加密领域的影响力也得以不断提升。

未来，波场TRON将持续发挥底层区块链技术优势，推动以TRC20-USDT为代表的稳定币加速走向更广阔的领域。

Letture associate

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

DeepSeek has updated its DeepSeek V4 model with the DSpark speculative decoding framework, achieving a significant 60-85% speedup in generation for Flash models and 57-78% for Pro models while maintaining the same overall throughput. This engineering-focused update, rather than a core architectural change, introduces DSpark to address latency and throughput bottlenecks in high-concurrency production environments. DSpark combines high-throughput parallel generation with adaptive load-aware verification. Its key innovations include a semi-autoregressive generation architecture to model dependencies within token blocks and a hardware-aware confidence-scheduled verification system. This system uses a confidence head to predict token acceptance probabilities, allowing it to dynamically optimize verification length per request and allocate compute only to tokens with the highest expected payoff. The asynchronous scheduler is designed for real-world deployment, ensuring zero-overhead scheduling and continuous CUDA graph replay while preserving the target model's output distribution. In tests across mathematical reasoning, code generation, and daily dialogue, DSpark outperformed state-of-the-art models like Eagle3 and DFlash, increasing average acceptance length by 26.7%-30.9% and 16.3%-18.4% respectively on Qwen3 target models. DeepSeek also open-sourced DeepSpec, a full-stack codebase for training and evaluating speculative decoding draft models, providing a standardized toolkit that includes data preparation tools, model implementations, training code, and evaluation scripts.

marsbit51 min fa

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

marsbit51 min fa

Can Aavenomics 3.0 sustain AAVE’s recovery rally amid Kraken buyout talks?

Aave Labs CEO Stani Kulechov has dismissed reports of a potential stake sale to Kraken, clarifying that Aave would not sell at a significant discount. He highlighted Aave's substantial annualized revenue and its focus on a broad financial market. Kulechov also announced plans for Aavenomics 3.0, featuring a new automated buyback mechanism. Following these updates, the AAVE token price surged 12%, extending its June recovery rally to over 50% from its recent lows. The rally is partly attributed to reduced selling pressure and positive sentiment from the announced tokenomics plan, despite the token remaining significantly below its all-time high.

ambcrypto1 h fa

Can Aavenomics 3.0 sustain AAVE’s recovery rally amid Kraken buyout talks?

ambcrypto1 h fa

BIT Research: The 2028 Halving Is Not the End, the Real Shake-Up of the Bitcoin Mining Industry Is Just Beginning

The Bitcoin mining industry is undergoing its most complex structural adjustment since inception. Despite Bitcoin's price holding near $61,000 and the network hash rate approaching a record 1 ZH/s, miner profitability is deteriorating. The industry is operating close to its breakeven point, with the 2028 halving expected to accelerate consolidation. The challenges extend beyond the halving's subsidy reduction; the industry's revenue model has yet to successfully transition towards a fee-driven structure. Increasingly, mining companies are evolving from simple Bitcoin producers into infrastructure and energy operators, including providers of AI/HPC computing power. Competition is shifting from pure hash rate expansion to business model upgrades. Economic pressure is evident. The theoretical daily mining revenue at current prices is around $78 million, yet the actual figure is only about $33 million—a 136% gap. Transaction fees remain low at roughly $220k daily, far below historical implied levels. With a current estimated industry-wide breakeven price near $65,000, mining alone is struggling to generate ideal profits. The 2028 halving is projected to push the fundamental production cost floor to approximately $93,289. This will likely accelerate a shift towards consolidation among larger, well-capitalized miners with diversified revenue streams. Competitive advantage will belong to institutionalized players with access to low-cost energy, AI/HPC hosting operations, and stronger balance sheets. In essence, Bitcoin mining is transitioning from a "mining business" to an "infrastructure business." Future profitability and resilience will depend less on block rewards and more on diversified income sources like energy management and computational infrastructure services. For investors, the key question is not the halving itself, but which miners can successfully navigate this business model transformation.

marsbit2 h fa

BIT Research: The 2028 Halving Is Not the End, the Real Shake-Up of the Bitcoin Mining Industry Is Just Beginning

marsbit2 h fa

This is How God Karpathy Uses Claude?

Andrej Karpathy, a prominent figure in AI, has reportedly joined Anthropic, leading to a noticeable decrease in his open-source contributions and social media activity. A document claiming to be his personal "CLAUDE.md" file—a set of instructions for the Claude AI to follow within a specific codebase—has been circulating online. While its authenticity is unverified, the content aligns closely with Karpathy's publicly shared principles on effective AI-assisted programming. The document outlines key rules for AI coding assistants, emphasizing the importance of reading existing code thoroughly before writing new code to maintain consistency. It advises against over-engineering, advocating for simple, surgical modifications that match the project's existing style. Other guidelines include clarifying assumptions upfront, writing meaningful tests, thoughtful debugging, and carefully considering dependencies. The core message is that these principles help prevent common AI coding failures, such as introducing unnecessary abstractions, style drift, or making invisible architectural decisions. The community has noted that even experts like Karpathy require detailed instructions to guide AI effectively, akin to managing a junior developer. A related GitHub repository, "andrej-karpathy-skills," which encapsulates these ideas, is reported to significantly reduce Claude's code error rate. Ultimately, the advice stresses that the best CLAUDE.md is tailored to one's own tech stack and coding practices.

marsbit2 h fa

marsbit2 h fa

Jito hits $1.75B revenue milestone, but what does this mean for its price rally?

Jito has achieved a significant milestone with $1.75 billion in gross revenue, primarily driven by MEV rewards (81%), solidifying its position as a top performer in the Solana ecosystem. This revenue growth is accompanied by increased network activity, including a major rise in active addresses and a nearly 90% surge in 24-hour trading volume to $102 million, suggesting expanding user participation rather than mere speculation. On the technical front, JTO's price has broken above a multi-month bullish flag pattern, respecting an ascending trendline. The data indicates the recent price rally may reflect these strengthening fundamentals, with the breakout's sustainability hinging on continued growth in network activity.

ambcrypto2 h fa

Jito hits $1.75B revenue milestone, but what does this mean for its price rally?

ambcrypto2 h fa

Trading

Spot