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China's AI computing power landscape redrawn: Over half of new data center projects flock to northern and northwestern regions

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Beating AI News Brief: China’s new AI computing power is clearly concentrating in northern and northwestern regions. BloombergNEF’s latest statistics show that over half of China’s under-construction and planned data center projects are located in northern and northwestern areas, including Inner Mongolia. According to its forecasts, by 2028, these regions will surpass traditional data center hubs like Beijing and Shanghai to become the country’s largest computing power supply zone. By 2030, northern and northwestern regions are projected to account for roughly one-third of China’s operational data centers’ IT capacity. These areas attract data centers mainly due to cheaper land and electricity costs, plus favorable climates for heat dissipation. AI firms including DeepSeek and Zhipu are also building large-scale data centers here. However, not all computing power will move westward. Latency-insensitive tasks such as model training and cloud storage are better suited for the west, while latency-sensitive use cases like autonomous driving still need to be close to eastern users.

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Smart money returns to the storage sector, building $27.5 million positions in MU and SKHX.

According to TradingBeats monitoring, the whale address starting with 0xc8b continues trading storage sector assets. The address purchased Micron Technology (MU) for $14.135 million at an average price of $1,055.1, posting an unrealized loss of roughly $313,000. In the afternoon, after booking a prior profit of $810,000, the address repurchased SK Hynix (SKHX) for $13.38 million at an average price of $1,341, with an unrealized loss of about $56,000. Currently, the total value of the two storage stock long positions stands at approximately $27.1465 million, with a combined unrealized loss of around $369,800. The address has placed partial liquidation sell orders: for MU, there are 100 orders totaling 13,397.3 shares, priced between $1,100 and $1,120, roughly 4.3% to 6.1% above its average entry price; for SKHX, 100 orders totaling 9,749.1 shares, with a price range of $1,370 to $1,390, about 2.2% to 3.7% above its average entry price. During the same period, the address sold 77,887.35 HYPE, incurring a loss of $192,100. It currently holds 356,492 HYPE long positions, valued at approximately $29.926 million, with an unrealized loss of around $704,000. Earlier news: Two SKHX long positions entered by Whale Tracking yesterday began taking profits, generating a total of $1.2 million in gains. On-chain perpetual and address analysis tool TradingBeats is now live, supporting real-time Hyperliquid data viewing, with in-depth analysis spanning address tracing to whale activities, all easily accessible.

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Meta's Chief AI Officer Alexandr Wang refutes SemiAnalysis' 'benchmark-rigging claim', stating that old tests are already saturated.

Beating AI Insight News: AI research firm SemiAnalysis has singled out Gemini 3.8 Flash and Muse Spark 1.3 as among the most obvious "benchmaxxed" models—meaning they are over-optimized for public benchmarks. The two models scored 89.4% and 88.8% respectively on Terminal-Bench 2.1, figures close to those of GPT-6 Astra and Claude Fable 5.1. However, their scores plummeted to just 19.1% and 33.3% on the newly launched Terminal-Bench 4.0, while Astra and Fable 5.1 retained scores of 57.7% and 55.8%. SemiAnalysis suspects the problem stems from public benchmarks becoming increasingly vulnerable to targeted optimization. All tasks in Terminal-Bench 2.1 are public; even if model developers do not directly use test questions for training, they can purchase reinforcement learning environment data highly similar to these tasks, leading models to excel at this "test" but fail to generalize to new tasks. That said, SemiAnalysis has not produced direct evidence that Google or Meta bought such data. Meta’s Chief AI Officer Alexandr Wang pushed back, calling the argument "stupid". He cited that GPT-5.6 Sol also dropped from 88.8% on Terminal-Bench 2.1 to 37.3% on 4.0, explaining that 2.1 is saturated and can no longer effectively differentiate top-tier models, while 4.0 is far from saturated. Terminal-Bench 4.0 removed 8 tasks that were saturated, had existing public solutions, or other issues, modified 19 questions, and adjusted resource limits including time, CPU, and memory.

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Tokenized stock BNC4 rises in tandem with its underlying stock BNC. BNC4 is currently priced at $12.4, while US-listed BNC is up over 90% in pre-market trading.

According to GMGN data, BSC-based tokenized stock BNC4 is rising in lockstep with its underlying stock BNC. BNC4 is currently priced at $12.4, with its market cap bouncing back from a low of $3 million to reach $8 million. Per BIT (bit.com) market data, U.S. stock BNC’s pre-market gain has widened to over 90%, trading at $6.6 as of press time. Note: 4Stock stems from the "stock meme" narrative launched by Four.meme. The platform first rolls out 4Stock underlying assets linked to equities, then allows the community to issue meme coins using these assets as liquidity pools. BNC4 is the first 4Stock tokenized stock, pegged 1:1 to BNC, the stock of the BNB treasury company. The meme coin "4Stock" is tied to the BNC4 liquidity pool. BlockBeats reminds users that most meme coins lack practical use cases, are highly volatile, and investors should exercise caution.

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Hong Kong stocks closed, with Zhipu down more than 10% and MiniMax falling over 5%.

According to Bitget market data, Hong Kong stocks closed with the Hang Seng Index down 0.38% and the Hang Seng Tech Index falling 1.61%. Software application stocks saw a sharp slump, with Zhipu dropping more than 10% and MiniMax falling over 5%.

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Binance’s US stock BNC contract has reached its maximum limit positive rate of 2%, with the annualized funding rate surging to 2190%.

On Binance, the US stock BNC (CEA Industries) contract has reached its maximum positive rate of 2%, with the annualized funding rate surging to 2190%. Long positions significantly outnumber short positions, so longs keep paying funding fees to maintain bullish bets. Separately, GMGN data shows the BSC chain’s tokenized stock BNC4 is trading at a nearly 3x premium to the US stock BNC’s after-hours price, with BNC4 currently quoted at $12.6. Per BIT (bit.com) market data, US stock BNC is now at $4.2 in after-hours trading.

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In pre-market US stock trading, BNC's gain has widened to 70%, currently trading at $5.93.

According to market data from BIT (bit.com), as US stock pre-market trading kicks off, BNC (CEA Industries) has extended its pre-market gain to 70%, now trading at $5.93. Per GMGN data, the BSC-chain tokenized stock BNC4 is currently priced at $11.2.

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