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lt

LT is the abbreviation for the cryptocurrency Litecoin. It is a peer-to-peer digital currency. Litecoin is based on the Bitcoin protocol but has been optimized in aspects such as block generation time and hashing algorithms. Its main features are fast transaction confirmation speed and high network security, making it suitable for everyday small payments. Litecoin is an open-source project aimed at providing users with a faster and lower-cost transaction experience.
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The U.S. CLARITY Act is entering a critical two weeks, with multiple parties intensifying discussions during the Senate recess

According to Crypto in America, the U.S. Senate will recess until July 13, and the advancement of the CLARITY Act depends on the progress of behind-the-scenes coordination over the next two weeks. Staff from both parties, government officials, and industry stakeholders are working to resolve remaining differences, including reconciling text discrepancies between the Banking Committee and the Agriculture Committee, as well as reaching consensus on ethical standards and provisions to combat illegal financial activities.The bill requires the support of at least 60 senators to pass. Even if all 53 Republican votes are in favor, at least 7 Democratic senators will need to join; the support of the majority of Democrats may depend on whether the White House can agree to establish a strong ethical framework regarding issues related to Trump's cryptocurrency business. According to Reuters, since Trump's return to the White House, his cryptocurrency business has generated over $2 billion in new wealth for him.Additionally, major law enforcement groups still oppose the inclusion of provisions from the Blockchain Regulatory Certainty Act in the bill, arguing that it would increase the difficulty of investigating and prosecuting on-chain crimes. Remaining discrepancies in the Agriculture Committee's text include issues such as the prioritization of federal law over state law, management of conflicts of interest in exchanges, and restrictions on related-party transactions. Sources indicate that the parties have not yet reached a final agreement, and there remains uncertainty about whether the Senate vote can be completed before the August recess.

CITIC Construction Investment: Although the logic of AI computing power remains optimistic, volatility has intensified; it is recommended to be cautious in chasing high prices

CITIC Construction Investment Research Report points out that the following factors will determine the trend of the third quarter market: In terms of fundamentals, AI computing power remains at a high level of prosperity, with mid-year performance and overseas financial reports worth paying attention to. At the same time, since April, under pressure from the macro economy, the economic measures from the Politburo meeting in July are quite important; In terms of liquidity, external disturbances have increased, while internal conditions remain neutral; In terms of risk appetite, geopolitical events and the listing of industry giants will cause short-term fluctuations in the market. Considering the global tech stock correlation effect, major overseas computing powers such as Japan, South Korea, and the United States also need to be continuously monitored.In terms of industry allocation, although the logic of AI computing power remains unchanged, volatility has intensified. It is recommended to be cautious about chasing highs and to position during pullbacks; lithium batteries are expected to welcome a peak season, and energy storage demand continues to warm up, while new energy presents opportunities for phased valuation recovery; dividends are expected to rebound from oversold conditions, with relatively high cost-performance ratios. Key areas to focus on: banks, coal, public utilities, AI, optical modules, storage, chips, industrial metals, lithium battery materials (VC), etc.

Coinbase: Has reduced AI spending by nearly 50% and is trying to default to adopting open weight models

Coinbase CEO Brian Armstrong published an article introducing the company's latest progress in AI cost optimization.Armstrong stated that as the usage of AI and Token consumption continues to grow, the key to controlling costs is not to restrict employee usage or frequently send budget reminders, but to optimize default model selection, task routing mechanisms, and caching strategies.He revealed that Coinbase is trying to use open-weight models such as GLM 5.2 and Kimi 2.7 as default options through an internal LLM gateway, while still allowing engineers to choose other models based on specific task requirements. Data shows that 91% of the company's employees have never reached the AI usage quota limit, so Coinbase has not chosen to tighten quotas but instead improved overall efficiency through lower-cost model solutions.In terms of model routing, Coinbase preprocesses prompts and, combined with cache hit rates and the pricing of different models, automatically assigns tasks to the most suitable model. Armstrong believes that complex tasks such as planning and reasoning may require support from cutting-edge models, but execution tasks do not necessarily need to invoke higher-cost models. In the future, the model selection process should be more automated by AI rather than relying on manual decisions.Additionally, he pointed out that cache hit rate is one of the important factors affecting AI costs. Coinbase has incorporated a cache-aware mechanism into the request process to improve the reuse rate of historical results. For example, in the case of LibreChat, after optimizing the caching solution, its cache hit rate has increased from 5% to 60%.Armstrong also stated that the company requires engineers to keep context as concise as possible, including starting new sessions when switching tasks, narrowing the context scope of files, and closing unused tools, to reduce unnecessary Token consumption.According to him, through these measures, Coinbase has successfully reduced AI spending by nearly 50%, while Token usage continues to grow.
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