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Flash

Data: In the past 24 hours, the entire network experienced liquidations of 222 million USD, primarily from long positions

According to CoinGlass data, the total liquidation amount in the cryptocurrency market in the past 24 hours was 222 million dollars. Among them, long positions accounted for 160 million dollars, and short positions accounted for 61.4383 million dollars, with long positions making up 72.3%. A total of 71,183 people were liquidated.By coin type, BTC had a liquidation of approximately 43.5224 million dollars (long positions 36.3862 million dollars, short positions 7.1362 million dollars). ETH had a liquidation of approximately 36.3222 million dollars (long positions 27.5461 million dollars, short positions 8.7761 million dollars). SOL had a liquidation of approximately 9.1886 million dollars (long positions 7.5828 million dollars, short positions 1.6058 million dollars). ZEC had a liquidation of approximately 8.8026 million dollars (long positions 6.7587 million dollars, short positions 2.0439 million dollars). CL had a liquidation of approximately 7.648 million dollars (long positions 0.117 million dollars, short positions 7.6363 million dollars). SOXL had a liquidation of approximately 6.324 million dollars (long positions 6.2116 million dollars, short positions 0.1124 million dollars). XRP had a liquidation of approximately 4.767 million dollars (long positions 4.5276 million dollars, short positions 0.2394 million dollars). NEAR had a liquidation of approximately 4.2293 million dollars (long positions 3.0669 million dollars, short positions 1.1624 million dollars).

first_img Jumpspace released the STEPX Neo smartphone, with an AI intelligent entity built into the operating system

StepFun, an AI startup invested by Tencent, has released the STEPX Neo phone, which features an AI intelligent agent directly built into the operating system rather than as an external application. The phone began pre-sales on the evening of October 13, priced at 3999 yuan (approximately 560 USD), with its official sale starting on October 16. Pre-sale channels include JD.com, Tmall, and Douyin. Users do not need to open a ride-hailing app to input addresses and select vehicles; they simply need to inform the destination, and the intelligent agent can autonomously complete the subsequent steps. StepFun stated at the launch event that in the era of intelligent agents, AI is no longer an additional feature of smartphones but is the product itself.The device runs on the Step AOS 1 system, which the company claims is designed from the ground up for intelligent agents, featuring long-term memory, task scheduling, and security control capabilities, composed of a mix of Android, Linux, and real-time operating system components. The system uses the MCP protocol to break down functions such as messages, applications, files, and settings into small modules that can be directly called by the intelligent agent, giving users two entry points: a traditional application grid and an intelligent agent space. The intelligent agent is named Amoo, which saves two types of memory: user factual preferences and task execution experiences. Simple commands are processed by a small model on the device, some of which can run offline, while complex cross-application requests are handled by a large model in the cloud. A second MiniLED screen on the back of the device can display Amoo's execution status.Nearly 100 companies and products, including Alipay, Tencent, Trip.com, Didi, and Meituan, have integrated with Amoo. Payments, travel bookings, and content creation are still completed by their respective platforms. This is an alternative path for StepFun in response to the major application blockages faced by ByteDance's Doubao, which previously used screen reading and simulated clicking solutions. StepFun was founded in 2023 by former Microsoft Vice President Jiang Daxin. Its self-developed flagship large model, Step 5 Preview, was launched in September, with a parameter scale of 600 billion and a single activation of 27 billion, supporting a context of 1 million tokens; the earlier released Step 3.5 Flash was open-sourced under the Apache 2 license. The price of 3999 yuan includes a 12-month STEPX Token plan, providing 100 billion tokens per month, while the AI costs after the first year have not yet been announced.

Vitalik compared the mining costs of BTC and the inference costs of AI: the former has electricity costs accounting for nearly half, while the latter relies more on capital expenditures for computing power

Ethereum co-founder Vitalik Buterin shared that the cost of Bitcoin mining is roughly half derived from capital expenditures on computing power equipment and the other half from electricity consumption; in contrast, the cost of AI inference is almost entirely dominated by capital expenditures on computing power. This difference reflects the distinct cost structures of the two computing businesses. Bitcoin miners need to continuously pay for electricity and determine their profit margins based on mining machine efficiency, coin prices, and network difficulty changes; AI inference, on the other hand, relies more on investments in expensive hardware like GPUs, as well as equipment utilization and computing efficiency.The industrial boundaries of both are also changing. As the demand for AI computing power grows, some Bitcoin mining companies are beginning to shift their existing electricity resources and data center facilities towards AI and high-performance computing businesses, hoping to transition from pure mining to computing infrastructure services. Some mining companies are leveraging previously allocated electricity capacity for mining to enter the AI data center market. However, transformation does not mean that cost pressures disappear: mining operations are more directly exposed to fluctuations in electricity prices and Bitcoin prices, while AI computing businesses must bear risks related to GPU procurement, depreciation, and underutilization. Both types of businesses compete for electricity and computing resources, but ultimately, profitability depends on how these resources are converted into revenue.
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