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In October, the core CPI in the United States exceeded expectations for three consecutive months, with rising costs in energy, services, and AI increasing pressure for interest rate hikes

Inflation data for October in the United States sends multiple warning signals. The data shows that the core CPI rose by 0.3% month-on-month, higher than the market expectation of 0.2%, exceeding expectations for the third consecutive month; the overall CPI rose by 0.4% month-on-month, also above expectations. The impact of rising energy prices is spreading to areas such as food and transportation, and service inflation remains robust, further complicating the Federal Reserve's efforts to control inflation.Specifically, food prices in the U.S. rose by 0.5% month-on-month in October, with grocery prices recording the largest monthly increase since April; urban transportation service prices saw the largest monthly increase since 2020, and prices for airline tickets and delivery services also increased. Additionally, service prices excluding energy and housing rents rose by 0.4% month-on-month, while owners' equivalent rent increased by 0.3%.AI investments are bringing new cost pressures. Over the past three months, the annualized price increase for computers and peripheral devices in the U.S. reached 25%, and electricity prices rose by 0.9% month-on-month in October, marking the largest increase in six months. Morgan Stanley estimates that AI-related factors have contributed about 6 basis points to the core CPI this year, with the current impact still relatively limited, but as data center investments expand, related pressures may rise further.In terms of monetary policy, Chicago Fed President Goolsbee described the latest inflation data as approaching an alarming level. Fed Governor Waller previously stated that if the core CPI month-on-month increase reaches 0.3% or higher, the December meeting should consider raising interest rates by 50 basis points. Goldman Sachs has included a forecast for an additional 25 basis point increase in March 2027, expecting that the target range for the federal funds rate will rise to 4.25% to 4.50%. However, some economists warn that there is a lag in the transmission of energy prices, and over-reliance on current data may lead to excessive tightening of monetary policy.

Glassnode: Bitcoin has fallen below the cost basis for short-term holders, with stablecoin supply decreasing by 14.2 billion USD over 30 days

Glassnode posted on platform X that Bitcoin has fallen below the short-term holder cost price of $75,600, underperforming compared to U.S. stocks, and the funds that could drive its rise are continuously flowing out. Currently, about 35% of short-term holders are in profit, with sellers averaging small losses.In terms of capital, the total supply of stablecoins has decreased by $14.2 billion over the past 30 days, marking the fastest contraction since June 2022; the U.S. spot Bitcoin ETF has seen a net outflow of $1.6 billion over the past 20 trading days; excluding the impact of USDT falling below $1, the 30-day average premium on Coinbase has remained negative, with the discount being the deepest since February. On the macro front, the two-year U.S. Treasury yield is at 4.75%, which is 75 basis points higher than the current 4% rate of the Federal Reserve, indicating that the bond market expects further rate hikes, but it is far from the level of 244 basis points in June 2022.However, there are also positive signals, as the decline has cleared most of the long leverage near the price, with the largest concentration of liquidations located between $59,500 and $62,600; since the sell-off on November 5, buy orders within a 5% price range in the Binance and Coinbase spot order books have consistently outnumbered sell orders; wallets holding between 100 to 1,000 BTC and 1,000 to 10,000 BTC have started to accumulate over the past week.Glassnode stated that if it returns to $75,600, it will support the judgment of a trend reversal in August; if it continues to fall below $73,000, it may enter a longer period of consolidation; if it closes below the June low of $58,500, the trend reversal since August will be broken.

The pass rate and cost of Alma by independent developer Yetone are better than Claude Code

The locally developed AI Agent Alma, led by independent developer Yetone, ranked third in the latest round of cross-evaluation initiated by the AI Agent infrastructure company Runta, both in task success rate and cost of success, outperforming tools like Claude Code and OpenCode. The current leaderboard snapshot shows that Alma has a task success rate of 72.7%, just behind Codex CLI at 77.9% and Pi at 72.8%, while Claude Code stands at 70.0%.Alma costs approximately $0.80 on average for each successfully completed task, compared to Claude Code's $0.94, making it about 16% cheaper. This FrontierHarness v1.1 comparison evaluates the performance of the same large model under different Agent execution frameworks, covering 21 sets of Harness configurations, 5 large models, and 62 tasks, with each task repeated 4 times, planning to run a total of 26,040 times, which is 72 times the scale of the previous version. All tools operate in a unified cloud environment, comparing task success rates, token costs, and execution speeds.Alma emphasizes local operation and long-term memory, capable of reading and modifying code, executing terminal commands, searching the web, and supporting Skills and MCP, while also allowing for switching underlying models. Recently, Alma integrated with Herdr, allowing programming Agents like Claude Code, Codex, and Pi to continue operating within Herdr, and enabling users to view execution processes, respond to questions, and approve operations in a centralized chat interface. Users can also remotely manage multiple Agents on their computers via iPhone. The evaluation is still ongoing, and rankings may change; the models being tested are limited to open-source models like GLM, DeepSeek, Kimi, and Muse, and do not cover closed-source models from the GPT and Claude series.

Yuanjing Star River Base 120MW completed in one year, with a cost of about one-fifth of similar projects in the United States

After a field visit to the Yuanjing Star River base in Ulanqab, Inner Mongolia, the American semiconductor research organization SemiAnalysis stated that the construction cost of this Chinese AI data center park may be only one-fifth of similar projects in the United States. The first phase of the Star River base, with a capacity of 120MW, was completed and delivered in less than a year. On August 6 of this year, the infrastructure for the first phase was completed, and the wind power and energy storage company Yuanjing Technology announced that the base officially commenced production. After nearly three months of electromechanical debugging and deployment of computing power equipment, the first phase of the approximately 200MW project was fully delivered to customers by the end of October.The entire park is planned to reach an IT power supply capacity of 800MW by the end of 2027, comparable to the approximately 820MW planned for OpenAI's Stargate Abilene core park, which is expected to reach this scale by the end of 2026. Stargate is a data center construction plan covering multiple states, with an initial goal of implementing 10GW of AI infrastructure capacity in the United States by 2029. In April of this year, OpenAI announced that it had secured over 10GW of planned capacity ahead of schedule, but these data centers have not all been completed and put into operation.Yuanjing Technology integrates power generation, energy storage, power supply, and data center construction, having built two wind farms with a total installed capacity of 420MW and supporting battery storage, aiming for over 60% of the electricity used by the first two phases of the data center to come from its own wind power. In contrast, the American Stargate Abilene park mainly relies on the grid and on-site gas-fired power generation facilities for electricity. Yuanjing has already operated an 800V high-voltage direct current system in a 5MW machine room, directly converting 10kV alternating current into the direct current required for server cabinets. The park also employs a cooling design that does not require central chilled water units, allowing liquid-cooled and air-cooled servers to share a single water circulation system.

first_img Anthropic released Claude Fable 5.2 and Mythos 5.2, with high actual generation costs

Anthropic released Claude Fable 5.2 and the restricted version Mythos 5.2 on Monday, stating that the new model can transform a small number of instructions into runnable software, design physical objects, and address research questions that previously required a professional team. The official announcement claims that its output speed has improved by up to 30% compared to the previous generation, with Fable 5.2 scoring 49.1% in the internal FrontierCode 2 evaluation, higher than Fable 5.1's 32.4%. Both share the same underlying model, with Fable having stricter protections against dangerous biological and cybersecurity requests, while Mythos is only open to certified institutions in relevant fields.In terms of pricing, the standard API price is $8 per million input tokens and $40 per million output tokens, lower than the previous generation's $10 and $50; an optional fast mode can increase output speed by up to 2.5 times, but the rates double to $16 and $80. In comparison, Kimi 3.1 Pro is priced at $2 and $10, while the latest DeepSeek model is $0.6 and $1.98 during off-peak hours.AI blogger Matthew Berman's tests show that Fable 5.2 can generate playable games and a browser version of Excel. One level styled after "Gears of War" took 43 hours and 48 minutes to complete, consuming 8.63 billion tokens, with an estimated cost of $14,710 based on developer pay-per-use estimates; the Excel clone is estimated at about $11,700, and a "Fall Guys" style game ran for 71 hours, consuming over 9 billion tokens, approximately $13,000. Anthropic provides one week of Fable access for Pro users and standard Team seats, capped at half of the weekly quota, with promotional access for Pro users ending on November 16.
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