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first_img FutureBit Apollo Solo miner mined Bitcoin block 973,262, earning 3.154 BTC

On October 26, a mining machine running on the FutureBit Apollo Solo solution mined Bitcoin block 973,262, receiving a complete block reward of 3.154 BTC and collecting transaction fees from 2,477 transactions within that block. Multiple block explorers, including mempool.space, marked the discoverer of this block as "FutureBit Apollo Solo," with its coinbase transaction containing text mentioning FutureBit and Apollo.FutureBit stated on X that the Apollo device or Solo Node assembles block templates, allocates work, and submits complete blocks using its built-in solo pool. This is at least the fourth block attributed to FutureBit Apollo Solo, with the previous three being 867,760, 881,423, and 888,737. FutureBit designs Apollo hardware for users who wish to run a full Bitcoin node and mine independently at home, with the latest model, Apollo III, achieving a maximum hash rate of 18 TH/s in turbo mode and integrating a full node.Solo mining is often referred to as "lottery-style mining" due to the extremely low probability of winning relative to block rewards. Against the backdrop of the Bitcoin network's hash rate recently being around 1,070--1,087 EH/s, the expected time for home devices with 10--18 TH/s to mine a block is still measured in centuries at current difficulty levels, but verified successful cases of solo mining continue to appear on-chain. Additionally, the next day, another miner successfully mined a solo block through CKPool Solo.

Goldman Sachs: Semiconductor exposure explains about 54% of the earnings difference, while oil prices account for only 2%

Goldman Sachs' latest research shows that over the past three weeks, semiconductor stock exposure has been able to explain about 54% of the return performance differences between different asset classes, while oil price exposure accounts for only 2%. As the influence of AI trading continues to expand, technology stocks are becoming an important factor driving global market risk appetite and asset performance differentiation.Goldman Sachs pointed out that recent investor risk appetite has been highly synchronized with the relative performance of large technology stocks. Last week, concerns about AI investment returns, financing costs, and capital expenditures intensified, leading to a sell-off in technology stocks and corporate bonds, with Goldman Sachs' risk appetite indicator falling to its lowest level since April 2025. The South Korean stock market has become a typical case of this impact, with the KOSPI rising 3.1% on Tuesday, and SK Hynix and Samsung Electronics increasing by 5.2% and 4.2%, respectively.Due to the high weight of semiconductor stocks in the Korea Composite Stock Price Index, changes in global AI investment expectations directly affect local market performance. Goldman Sachs emphasized that the 54% and 2% figures reflect a statistical relationship within a specific time window and do not imply that AI factors long-term determine global market fluctuations; the impact of high oil prices on inflation, monetary policy, and asset pricing cannot be ignored. Major technology companies such as Microsoft, Google, and Amazon are about to announce their earnings reports, and the market will focus on whether AI demand can continue to grow and whether massive capital expenditures can be converted into actual profits.

first_img Yushu Technology reminds of unusual stock price fluctuations, with a rolling price-to-earnings ratio of 465.22 times

The humanoid robot company Yushu Technology (688836.SH) announced that the cumulative price deviation of the company's stock closing price has exceeded 30% over three consecutive trading days, which falls under the category of abnormal stock trading fluctuations. As of October 26, 2026, the company's rolling price-to-earnings ratio is 465.22 times, significantly higher than the average rolling price-to-earnings ratio of 38.54 times in the general equipment manufacturing industry.The announcement pointed out that the humanoid robot industry is still in the early stages of commercialization, with uncertainties in technology maturity, cultivation of downstream market demand, and supporting capabilities in the industrial chain. The transition of physical AI technology from laboratory demonstrations to large-scale implementation in real-world scenarios still faces challenges such as perception accuracy, motion control stability, data accumulation, and hardware-software collaboration. The maturity of the technological path and business model still requires time for validation. If the industry's large-scale commercialization progress does not meet expectations, the company's future revenue expansion and performance release may be adversely affected, posing investment risks of valuation regression.

first_img SK Hynix plans to distribute a special dividend of approximately 16 trillion Korean Won from Kioxia's earnings

According to an exclusive report by the East Asia Daily on October 26, the memory chip company SK Hynix plans to return 80% of the proceeds from the sale of its stake in the Japanese NAND manufacturer Kioxia to shareholders as a special dividend. The report cites investment banks and financial industry sources estimating the related proceeds to be around 20 trillion Korean won, with the special dividend expected to be about 16 trillion Korean won. The company intends to announce this plan during the third-quarter earnings release on October 28. Currently, this is an industry expectation and not an officially confirmed announcement by the company.Based on the current number of shares issued, the special dividend amounts to approximately 23,000 Korean won per share, which is 15 times the annual fixed dividend of 1,500 Korean won per share and 61 times the quarterly dividend of 375 Korean won. Whether the payment will be made in installments is still under consideration. Last year's total dividend was 2.1 trillion Korean won. The company stated during the second-quarter earnings call that it is exploring various additional ways to return value to shareholders and will share the details once determined within the year.In 2018, SK Hynix participated in a consortium led by Bain Capital to acquire the NAND business spun off from Toshiba, which was renamed Kioxia in 2019. The total investment by the company was approximately 395 billion Japanese yen, of which the fund's contribution has been sold in phases by Bain and fully recovered. In the first quarter of this year, part of the disposal recovered 4.1178 trillion Korean won, and after further disposal in the second quarter, the estimated proceeds, excluding the principal, are around 20 trillion Korean won. Kioxia's stock price rose from about 10,000 Japanese yen at the end of last year to a historical high of 112,700 Japanese yen on June 22 this year.

Bloomberg: South Korea's stock market becomes the first trillion-dollar market to fall below a price-to-earnings ratio of 5

According to Bloomberg data, the expected price-to-earnings ratio of South Korea's KOSPI index for the next 12 months has fallen to 4.2 times, becoming the first trillion-dollar market on record to drop below the 5 times threshold. Among the 18 markets with a market capitalization exceeding 1 trillion dollars at the beginning of this year, this situation has never occurred with a benchmark index before.The cooling of the AI boom has triggered a sell-off in technology stocks, putting pressure on the South Korean stock market. Although South Korea's exports are approaching 1 trillion dollars, the demand for chips from SK Hynix and Samsung Electronics remains strong, but investors are still unwilling to pay higher valuations for the earnings of related companies. The valuation of the South Korean stock market is now close to that of the Indonesian market, which is facing the risk of an MSCI downgrade, with the discount level further widening. Bloomberg comments that extremely low valuations may create space for future valuation recovery. If sentiment turns, South Korean stocks are expected to outperform other markets in the short term, but it is uncertain when the recovery will start and whether there will be further declines; a low price-to-earnings ratio itself does not mean that it has already hit bottom.

Big tech companies face a salary inversion for AI talent, with top fresh graduates earning up to 5 million annually

According to Beating reports, Lei Feng Network interviewed several headhunters and found that major domestic internet companies are tightening their recruitment quotas but are still willing to break salary limits for top AI talents. Headhunters revealed that this year, some outstanding fresh graduates in foundational model directions have annual packages reaching 2 million yuan; ByteDance Seed and Xiaohongshu's highest offers have reached 4 million to 5 million yuan, while Baidu is in the range of 2 million to 3 million yuan.The high salaries for talent are exacerbating internal salary discrepancies. An internet professional stated that some employees in foundational models have lower job levels but earn more than their higher-level colleagues. Similar situations emerged as early as 2017; an experienced engineer recalled that at that time, a returnee fresh graduate who joined a year later and was at a lower job level had a monthly salary 10,000 yuan higher than his own, leading to a monthly turnover of about 10% in a team of over thirty people.Headhunters noted that application-side positions are shrinking, while foundational model teams still lack individuals who can truly train large models. Coding Agents, model evaluation, pre-training data, and Agent infrastructure have become new focal points for talent acquisition; DeepSeek has recently been expanding its recruitment for backend developers and Agent Infra engineers, while the hiring enthusiasm in areas like AI search has decreased. Companies are not only looking at academic qualifications and papers but also place greater importance on whether candidates have actually trained large-scale models in leading teams; the salaries and responsibilities of scarce talents can be negotiated separately, while competition among ordinary AI job seekers is more intense.

This week's macro outlook: Jensen Huang appears at NVIDIA GTC, the Federal Reserve enters a quiet period, and Meta and Tesla's earnings reports become the market focus

Last week, U.S. tech stocks experienced a significant pullback, with the Nasdaq dropping over 4% for the week. The market is digesting stronger-than-expected inflation data while reassessing the narrative that "the economy cannot be crushed." The Federal Reserve has entered its quiet period ahead of the FOMC meeting on October 28, with officials absent from public statements. This week, more attention will be on the earnings reports of tech giants and economic data, with Meta and Tesla set to announce their results, and the semiconductor and storage sectors also entering their earnings disclosure window.On the geopolitical front, Trump has suspended the full sanctions and tariff enforcement against Russia and set a roughly 60-day assessment window. Disruptions in shipping through the Strait of Hormuz and escalating risks in the Middle East continue to support oil price premiums. On the agenda, the Nvidia GTC Berlin conference opens on Tuesday and runs until the 22nd; on Wednesday, the U.S. will release API and EIA crude oil inventory data for the week ending October 16. In the evening, Beijing time, Nvidia CEO Jensen Huang will deliver a keynote speech, followed by earnings reports from Meta, Tesla, IBM, and Lam Research after the market closes.On Thursday, the U.S. will announce initial jobless claims for the week ending October 17. Before the market opens, Nokia will release its earnings report, and after the market closes, Western Digital and MaxLinear will announce their earnings. On Friday, the U.S. will release the preliminary values for the October S&P Global Manufacturing and Services PMIs, as well as the final value of the University of Michigan Consumer Confidence Index and the final value of one-year inflation expectations. On the same day, Japan will also release its September CPI and preliminary values for the October composite, manufacturing, and services PMIs, allowing the market to observe the price situation ahead of the Bank of Japan's decision on October 30.
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