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base

Base is a secure, low-cost, developer-friendly Ethereum L2 designed to bring the next billion users into web3. Base is incubated within Coinbase and plans to gradually decentralize over the next few years.
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Cryptocurrency stocks have fallen much more than large tech stocks: Coinbase and Circle have dropped 69% and 72% from their highs, respectively, and Bitcoin briefly fell below $60,000, intensifying pessimism

According to Cointelegraph, in the wave of declines in technology stocks, cryptocurrency-related stocks have suffered particularly severe losses, with the divergence from the broader market continuing to widen. Coinbase (COIN) and Circle (CRCL) have fallen 69% and 72% from their respective historical highs, far exceeding the 48% to 57% pullback of mainstream tech stocks like Oracle, Salesforce, Netflix, and Palantir; in contrast, the S&P 500 index has only retreated 3.5% from its recent peak.On the fundamental side, Coinbase's first-quarter performance was significantly below Wall Street expectations, with a 21% quarter-over-quarter decline in revenue and a loss of $1.49 per share, while analysts had previously expected earnings of $0.27 per share. Bitcoin fell below $60,000 this week, down more than 54% from its October peak; Ethereum also dropped to around $1,500, down about 69% from last year's high, with market sentiment continuing to deteriorate.21Shares has lowered its 2026 cryptocurrency market expectations in its mid-year outlook report, believing that the performance of digital asset prices is significantly lagging behind the industry's fundamentals. The institution pointed out that institutional adoption is still deepening, with stablecoins, asset tokenization, and prediction markets maintaining strong development momentum, but the four-year market cycle of Bitcoin remains the dominant force in price trends. The report also acknowledged previous misjudgments—"the cycle of Bitcoin is evolving, but has not yet broken," retracting its earlier assertion that the four-year cycle was outdated.Analysts believe that the deep pullback in cryptocurrency stocks reflects the overall weakness of the digital asset market, the uncertainty of legislative progress in the U.S. cryptocurrency market structure, and the compounded pressure from the potential impact of AI technology on existing business models.

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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