breakthrough

The Shanghai Municipal Economic and Information Technology Commission issued the "Action Plan for Accelerating the Development of a New Generation of Intelligent Manufacturing in Shanghai." The plan proposes to strengthen the industrial network and computing power infrastructure, support manufacturing enterprises in carrying out new industrial network transformations, promote the integrated evolution of control systems, industrial networks, and computing power facilities, and advance the pilot projects for industrial 5G/EUHT independent private networks.The plan also proposes to support the deployment of high-quality networks such as 5G-A and 10 Gigabit optical networks, accelerate breakthroughs in AI high-performance chips, and expedite the construction of a "hub-region-edge" computing power facility system. At the same time, it aims to strengthen the overall scheduling of intelligent computing resources, accelerate the construction of national computing power interconnection nodes, promote standardized access and on-demand invocation of computing power resources, and advance the inclusive supply actions of computing power services, enhancing the efficiency of the industrial intelligent computing cloud platform.

OpenAI recently announced that its AI model has cracked the Exponential Time Hypothesis, abbreviated as ETH, which has been a longstanding conjecture in computer science for over twenty years, and is not related to Ethereum. This hypothesis focuses on how difficult particularly hard problems are, using the Boolean Satisfiability Problem (SAT) as an example: given a set of logical conditions, is there an assignment that makes all conditions true simultaneously? As the problem size increases, the best-known methods essentially can only try possible answers one by one, with the time cost growing exponentially with the size. The Exponential Time Hypothesis further asserts that such problems cannot be significantly accelerated, and there are no truly sub-exponential time efficient algorithms.Since its proposal in 1999, this hypothesis has been a crucial cornerstone of theoretical computer science, with numerous papers proving that certain problems are hard and that some algorithms are close to optimal based on it. If the Exponential Time Hypothesis were to be overturned, it would imply that many problems considered nearly impossible to solve faster might theoretically have better solutions. OpenAI claims that its model has found a deterministic algorithm that can accurately count the number of solutions to the k-SAT problem in sub-exponential time, and it has been formally verified using Lean. If this result withstands expert scrutiny, it will directly challenge the Exponential Time Hypothesis.

According to Jinshi Data, OpenAI announced three breakthroughs in its AI models in the fields of mathematics, computer science, and physics, demonstrating the ability of AI to independently discover and prove complex scientific theories, rather than just answering questions or assisting research.In mathematics, the AI proved the local smoothness conjecture applicable to all dimensions, thereby resolving the Kakeya conjecture and the Stein restriction conjecture. In computer science, the AI overturned the long-accepted exponential time hypothesis, suggesting that faster algorithms may be found in the future. In physics, the AI proposed a rigorous mathematical existence proof for quantum chromodynamics and Yang-Mills theory, which involves one of the seven Millennium Prize Problems.OpenAI stated that the achievements in mathematics and computer science have been formally verified using the Lean mathematical verification tool, and the proof materials have been made public; the achievements in physics are currently under review by experts, including Nobel Prize winners in Physics. Related results still require further independent confirmation from the academic community.

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.

U.S. President Trump stated that there will be no bombing of Iran before the midterm elections. Meanwhile, the U.S. is evacuating some non-emergency personnel from Saudi Arabia, reducing troop strength at some bases in the Middle East, and increasing aircraft carrier and amphibious forces. The Israeli military reportedly deployed dozens of fighter jets near the Iranian border this week before turning back, and the target list for strikes is also being updated.The U.S. State Department has ordered the evacuation of non-emergency government employees and their families only within Saudi Arabia, citing attacks on Saudi civilian targets related to Iranian-backed Houthi forces. Additionally, reports indicate that U.S. military forces have quietly reduced troop levels in Jordan, Qatar, and Kuwait in recent days. The Wall Street Journal states that the U.S. is dispatching another aircraft carrier to the Middle East, with a third carrier strike group coming from the Pacific, and is sending an amphibious assault ship carrying Marines. If the new forces arrive and existing vessels are not rotated out, the total number of U.S. naval vessels in the region is expected to exceed 24, currently around 20.Israeli Prime Minister Netanyahu is reportedly continuing to advocate for a large-scale strike against Iran, and U.S. officials even suspect that Israel is deliberately provoking Iran to fire. Israeli Channel 12 cited U.S. sources stating that earlier this week, dozens of Israeli fighter jets and refueling aircraft flew over Syria and Iraq, approaching the Iranian border, with a flight path highly similar to that of an attack on Iran, turning back before entering Iranian airspace, which Israel claims was a drill and a deterrent. Pakistan, Qatar, and others are intensifying mediation, but the U.S. demands discussions on the nuclear program, while Iran hopes to first discuss reopening the Strait of Hormuz, with no breakthroughs in negotiations yet.

Google stated that its Willow quantum chip reduces the error rate in preparing the special states (Magic States) required for quantum computing by about 40 times through a method called "Cultivation." The related research was published this week in Science, which is expected to lower the hardware costs of future large-scale quantum computers and draw more attention to the potential threat of cracking Bitcoin wallets.Magic States are a key resource needed to perform certain quantum computing operations, and their preparation process consumes a significant amount of hardware. Google's experiment achieved about 99.99% state fidelity, but only about 8% of attempts passed the screening. Researchers indicated that future experiments need to be scaled up and issues such as real-time operation and error correction need to be addressed. In March of this year, Google estimated that under specific hardware assumptions, future quantum computers might only need fewer than 500,000 physical qubits to crack the cryptography used in Bitcoin and Ethereum wallets.For Bitcoin, some early wallets' public keys have been public since their mining, theoretically making them targets for future quantum attacks; while wallets with undisclosed public keys may face different attack conditions. However, this breakthrough does not mean that quantum computers are capable of cracking Bitcoin. Google's previous cost estimates for attacks assumed the use of efficient Magic States preparation schemes, so this result cannot simply be understood as a 40-fold reduction in the cost of cracking Bitcoin. Research is still in the advancement stage of quantum hardware and error correction technology, and the complete equipment and engineering capabilities required for actual attacks have not yet been realized.

Google announced a breakthrough in the field of quantum computing, stating that its Willow chip has overcome a critical resource bottleneck.Google stated that a technology called magic state cultivation is now running on the Willow chip, reducing errors by approximately 40 times and achieving an accuracy of 99.99%. This research was published in the journal Science, and Google also mentioned that it still needs to prove the effectiveness of this technology under large-scale conditions.

Cryptocurrency analyst Darkfost stated that currently, above the price level of approximately $83,000, 53% of the invested capital is concentrated. This means that if Bitcoin is purchased at this level, the holding cost will be better than that of more than half of the investors.The range of $84,000 to $85,000 is the largest chip distribution cluster, and many investors react at this critical level, so this range is clearly the core resistance that Bitcoin must break through. Looking below, the range of $79,000 to $77,000 may become a support level. If the price cannot effectively break through $84,000-$85,000, the market may first retest this support area; however, once it stabilizes above the densely concentrated chip area, it means that the cost pressure for most holders has been digested, and the subsequent upward resistance will be significantly reduced.

According to CoinDesk, Bitcoin is facing selling pressure, marking the third time since September 23 that it has been blocked near $87,000. FxPro analyst Alex Kuptsikevich stated that since the beginning of last week, BTC has formed a trend of "gradually higher local lows," but bulls have not yet gained sufficient upward momentum.The current price is approaching the apex of a triangle formed by horizontal resistance and an ascending support line. If this pattern is broken, the market may experience greater volatility. The total market capitalization of the cryptocurrency market has fallen back to about $2.93 trillion. Meanwhile, U.S. stocks have performed strongly, with the Nasdaq 100 index reaching a new closing high and the S&P 500 index less than 0.5% away from its historical peak. However, U.S. Treasury yields continue to rise, with the 10-year Treasury yield climbing to 5.32%, close to its highest level since 2002.Market observers believe that for BTC to break through $87,000, sufficient buying pressure is needed to absorb the selling pressure that continues to appear around this price level. Once it stabilizes at this level, it may further open up space for movement towards an 8-month high.

According to a report by Reuters, Gao Yang, co-founder and chief scientist of the Chinese humanoid robot startup Spirit AI, stated that humanoid robots could complete most general tasks based on verbal instructions as early as next year, but it will take at least 8 more years to enter households. He mentioned that the brain is the weakest link in the entire robotics technology stack, and it is expected to reach a milestone similar to GPT-3.0 by mid-2027, allowing users to speak to robots in natural language and have them perform a series of reasonable physical actions to attempt to complete tasks.Spirit AI was founded in 2024, has about 300 employees, and raised $670 million in funding within two years, with a valuation of $2.9 billion. The company employs about 1,000 contractors who wear data collection devices at home or in factories, primarily relying on real-world data for training. The success rate for simple tasks in a structured living room environment is 90%. Currently, dozens of Moz1 wheeled humanoid robots are deployed on production lines at CATL and JD.com.Gao Yang stated that the next 1-2 years represent the initial window for industrial applications, and after two years, they can enter commercial service scenarios to perform simple tasks, but entering households will be more challenging. In terms of safety, full-body force control is implemented, and the robots will automatically engage emergency braking when encountering significant interaction forces. High-quality data is the main bottleneck for training the robot's brain.

According to Catcher Predict monitoring, in the event "WTI Crude Oil September 2026 Price Prediction" on the prediction market Polymarket, the "Yes" option in the sub-market "Breakthrough $100" has experienced significant fluctuations in winning probability, soaring from 58% an hour ago to the current 76.5% (a fluctuation of 18.5%). Please note the impact of related breaking news.

According to Gate market data, UNI/USDT is currently priced at $9.15, with a 24-hour increase of 33.83%.

Founder of Strategy, Michael Saylor, posted on platform X stating that the U.S. Securities and Exchange Commission's innovation exemption policy allows qualified trading platforms to provide around-the-clock tokenized on-chain trading for U.S. investors. This is undoubtedly a significant breakthrough in the field of digital credit and the U.S. capital markets.

According to Catcher Predict monitoring, in the market prediction event "Ethereum September Price Prediction" on Polymarket, the "Yes" option for the sub-market "Breakthrough $2,600" has experienced significant fluctuations in winning probability, soaring from 50% an hour ago to the current 73.5% (a fluctuation of 23.5%). Please note the impact of related breaking news.

According to Catcher Predict monitoring, in the event "WTI Crude Oil September 2026 Price Prediction" on the prediction market Polymarket, the probability of the "Yes" option in the sub-market "Breakthrough $100" has experienced a sharp fluctuation, soaring from 67% an hour ago to the current 86% (a fluctuation of 19%). Please note the impact of related breaking news.

According to Catcher Predict monitoring, in the market prediction event "Bitcoin September Price Prediction" on Polymarket, the "Yes" option for the sub-market "Breakthrough $80,000" has experienced a sharp fluctuation in winning probability, soaring from 76.55% an hour ago to the current 95.15% (a fluctuation of 18.6%). Please note the impact of related breaking news.

According to Catcher Predict monitoring, in the "Bitcoin price prediction from August 31 to September 6" event on the prediction market Polymarket, the "is" option for the sub-market "breakthrough $88,000" experienced a dramatic fluctuation in winning probability, soaring from 4.1% an hour ago to the current 49.8% (a fluctuation of 45.7%). Please note the impact of related breaking news.

StarkWare successfully tested quantum-resistant transactions on the Bitcoin network, marking a further enhancement of Bitcoin's technological defense capabilities against the threat of quantum computing.