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Grok 4.8 has not been released yet, and Musk said he doesn't care about the benchmark scores

On October 30, Musk admitted that the development of Grok 4.8 took longer than expected but assured that the new model would not disappoint. He stated that the team does not optimize for benchmark testing and he himself does not care about scores, focusing more on the practical applications of the model. On September 14, Musk revealed that Grok 4.8 has 2.5 trillion parameters and uses a brand new C++ training system, expecting to complete pre-training by the end of that week, followed by reinforcement learning.Now, more than six weeks have passed, and the new model has still not been officially released. The independent evaluation agency Artificial Analysis found that under the same xhigh inference setting, Grok 4.7's comprehensive intelligence index only increased by 2 points compared to Grok 4.6, rising from 44 to 46 points, while the average output tokens per question increased from about 38,000 to 81,000. Users in the Cursor community have also complained that Grok 4.7 consumes resources faster, but the actual improvement is not significant.In an interview with CCTV in September, Musk admitted that Grok 4.7 is not as good as Claude Opus 5.5, predicting that it would not catch up to the top tier until 2027. In October, he proposed allowing Grok Bot to call external models, including Claude, based on tasks, and plans to have Grok 4.8's high-speed version handle a large number of simple requests.

Wang Xingxing said he is afraid of wasting every day and expects breakthroughs in physical AI within two to three years

On October 22, at the 2026 World Physics AI Conference and Yushu Partner Ecosystem Conference, Yushu Technology founder Wang Xingxing stated, "I am really very afraid of wasting each day," demonstrating a strong sense of urgency regarding the acceleration of physical AI.Wang Xingxing believes that top AI models have already penetrated the mathematical world, and physical AI has also shown signs of being penetrated, with the breakthrough likely occurring in the next 1 to 2 years or 2 to 3 years. Live demonstrations showed that the Yushu robot equipped with GPT-6 could complete tasks such as painting, playing chess, and recognizing color palettes without additional training, indicating that the model can solve some planning problems. He expects that by the end of this year or next year, the robot is expected to complete tasks like organizing a room as instructed.In light of this time window, Yushu Technology officially launched the "Yuchuang Plan," opening recruitment for embodied intelligent entrepreneurs with core technologies, aiming to incubate over 200 ecological enterprises in the next five years. Wang Xingxing also pointed out that after the breakthrough point of physical AI, robot hardware needs to reach a scale of producing tens of millions of units annually, and emphasized the importance of core resources such as data, computing power, chips, and energy.

first_img Trump said that stock trading is for America, not for himself

On September 6, local time, U.S. President Trump posted on the social platform Truth Social, stating that he earned "hundreds of billions of dollars" for the United States through stocks and holding various other assets, and he expressed, "I do this for our country, not for myself." The post also mentioned that the only response he received was criticism from the radical left "foolish Democrats."According to a previous report by Reuters, information from the U.S. Office of Government Ethics shows that Trump disclosed personal securities transactions totaling at least $220 million and up to about $750 million in the first three months of 2026. Annual financial documents released by the U.S. Office of Government Ethics indicate that Trump's total income for 2025 was at least $2.2 billion, far exceeding his income of about $622 million in 2024 when he had not returned to the White House.On the same day, Trump also shared an AI-generated image, which appeared to show him trading in the Oval Office, with the screen displaying Intel's stock price rising from $20 to $95. In August of last year, the U.S. federal government invested about $8.9 billion to purchase a 9.9% stake in Intel at a price of $20.47 per share; CNBC reported that on September 4, 2026, the company's stock closed at $95.80. A White House spokesperson stated that all stock transactions under Trump's name are conducted by external financial managers, and Trump and his family have no control over specific trading decisions.

Jim Cramer said he will liquidate his Bitcoin holdings, concerned about the threat of quantum computing to its security

Former hedge fund manager and CNBC host Jim Cramer stated that due to concerns about quantum computing threatening Bitcoin's security, he plans to sell all of his BTC holdings. His statement stems from an interview with IBM Chairman and CEO Arvind Krishna, who said that investors should be wary of the challenges quantum computing may pose to modern cryptography in the next 3 to 4 years. Cramer believes that quantum computing could threaten the Bitcoin network in a similar timeframe. However, no one has independently confirmed how much BTC he holds or whether he has completed the sale.After his statement, Bitcoin continued to trade normally around $63,764, with some market participants viewing his comments as a "reverse Cramer" signal. Bitcoin uses the ECDSA signature mechanism based on the secp256k1 curve, and theoretically, a sufficiently powerful quantum computer could use Shor's algorithm to derive the private key from the public key. The risk is mainly concentrated on addresses with exposed public keys, including reused addresses, early wallet formats, and the brief time window after a transaction is broadcast but not yet confirmed. Researchers estimate that about 6 to 7 million BTC, accounting for approximately 30% of the supply, may fall into this category. Google Quantum AI estimated in March this year that breaking the relevant cryptographic mechanisms could require fewer than 500,000 physical qubits, reducing the previous estimate by about 20 times. However, current quantum systems typically only have hundreds to thousands of physical qubits, with even fewer logical qubits that have higher reliability. Most researchers expect that truly capable quantum computers for cryptographic breaking may not appear until the 2030s or even 2040s, making Cramer's 3-year prediction significantly earlier than most technological expectations.
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