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Morgan Stanley stated that although market expectations indicate that data center investment will slow down, the growth of AI semiconductor suppliers may continue to exceed the broader growth of cloud spending by 2028 due to strong demand for advanced chip packaging.It is expected that the total capacity of advanced packaging will grow by about 50% by 2028, while the capital expenditure growth of cloud service providers will be 12%.

According to Catcher Predict monitoring on-chain data, a significant capital movement is predicted in the Polymarket market. A large whale invested $219,096.66 in the "Counter-Strike: Alliance vs magic (BO3) - FISSURE PLAYGROUND Group B" event, targeting the "Match Winner." Based on the current transaction price, the latest corresponding winning probability for this subject is 56%.

According to Catcher Predict monitoring, in the predicted market on Polymarket for the event "Counter-Strike: PARIVISION vs magic - FISSURE PLAYGROUND Group B", the option "PARIVISION" in the sub-market "Map 2 Winner" has experienced a sharp fluctuation in winning probability, rising from 59.5% an hour ago to the current 78.5% (a fluctuation of 19%). Please note the impact of related breaking news.

Former Magic Eden community data analysis contributor and founder of Magic Lab, Ben Gruenbaum, posted on X, accusing the NFT market Magic Eden of changing rewards, governance, products, and strategic direction after users locked up $ME for the long term. He stated that $ME has a fixed supply of 1 billion, of which 225 million are reserved for active user rewards over four years and are unlocked linearly, with the longest lock-up period being four years and no early withdrawal allowed. After distributing 10 million $ME in Season 1, an additional 2.3 million was added due to issues, and the rewards for Season 2 increased from 8 million to 10 million.The community fund was launched with 5 million $ME. The proposal supported by Magic Lab requested 295,000 $ME (approximately $177,000 at $0.60), but the budget shrank due to price declines. Users continued to lock up during the shutdown of the Bitcoin and EVM markets, as well as the Runes infrastructure and wallet, with rewards shifting to USDC. Magic Eden promised $75 million to Dicey, and some top stakers reported issues receiving USDC and have filed lawsuits. Gruenbaum stated that this is not a story about the token's decline, but rather about changes in ecosystem factors after users made long-term commitments.

Grok, the AI assistant under xAI, posted on X that it is now available for trading and managing portfolios on Coinbase.After users add the Coinbase connector, they can directly ask Grok to check balances, analyze data, and place or cancel trades for any available assets in the chat.

Anthropic researcher Jacob Coxon announced his resignation and is preparing to leave the AI industry. He has conducted pre-training research at OpenAI and Anthropic over the past three years. He pointed out that neither company has responsibly advanced AI and are competing to create superintelligence that can continue to enhance its own capabilities, "betting our lives on it."He switched from OpenAI to Anthropic this year because the latter places more emphasis on model safety. Coxon acknowledged that Anthropic's safety work is serious, but believes that as long as companies are racing to be the first to create AGI (artificial general intelligence that surpasses humans in a wide range of tasks), safety compromises are unavoidable, and self-discipline from a single company cannot solve the problem. His assessment of the two companies is: many people inside OpenAI still do not truly realize how great this risk is; Anthropic knows the risks but believes others are unreliable, so they must create it themselves first.Coxon stated that some AI practitioners are much more pessimistic privately than they express publicly, and are even worried that AI could destroy humanity before the end of this decade. He personally judges that in the most radical scenario, AI could go out of control by the end of next year, so such decisions should not be made solely by the engineers of a few companies.

According to Catcher Predict monitoring, the predicted market on Polymarket for the event "Counter-Strike: magic vs FaZe (BO3) - FISSURE PLAYGROUND Group B" shows that the "FaZe" option in the sub-market "Map Handicap: FaZe (-1.5) vs magic (+1.5)" has experienced a significant fluctuation in win probability, rising from 30.5% an hour ago to the current 49.5% (a fluctuation of 19%). Please note the impact of relevant breaking news.

Cryptocurrency exchange Kraken announced that kHYPE is now live. kHYPE is a wrapped version of HYPE, fully backed by Kraken at a 1:1 ratio and can be verified on-chain.This asset can be used in DeFi on the Ink chain and can be redeemed back to the original asset at any time.

According to on-chain analyst Ai Yi's monitoring, a certain whale previously went long on 20,000 ETH with 4x leverage, and 2 minutes ago opened a 4x short position of 546.69 BTC, worth 42.8 million USD, with an opening price of 78,561.3 USD.The 20,000 ETH it holds is currently up by 10.725 million USD, with a total position size reaching 92.33 million USD.

According to Catcher Predict monitoring, in the predicted market Polymarket for the event "Counter-Strike: Legacy vs magic (BO3) - FISSURE PLAYGROUND Group B", the "Legacy" option in the sub-market "Map 1 Winner" has experienced a dramatic fluctuation in win rate, soaring from 64% an hour ago to the current 97.25% (a fluctuation of 33.25%). Please note the impact of related breaking news.

Licheng, Jingyuan Electronics, and Silergy all reported year-on-year and month-on-month revenue growth in August, with Licheng and Silergy setting new historical highs for two consecutive months. Licheng's consolidated revenue in August was 8.558 billion New Taiwan Dollars, a month-on-month increase of 3.48% and a year-on-year increase of 24.46%. After breaking the 8 billion mark for the first time in July and setting a historical high, August saw another record. The cumulative revenue for the first eight months reached 61.258 billion New Taiwan Dollars, a year-on-year increase of 30.83%. Jingyuan Electronics reported revenue of 4.08 billion New Taiwan Dollars in August, a month-on-month increase of 2.23% and a year-on-year increase of 31.58%. The cumulative revenue for the first eight months was 29.404 billion New Taiwan Dollars, a year-on-year increase of 35.53%. Silergy's revenue in August was 2.07 billion New Taiwan Dollars, with a month-on-month increase of nearly 3% and a year-on-year increase of nearly 29%. The cumulative revenue for the first eight months reached 15.26 billion New Taiwan Dollars, a year-on-year increase of over 20%.Licheng's main source of growth this year remains the rebound in demand for memory packaging and testing. Licheng previously anticipated that revenue in the third quarter would show single-digit quarter-on-quarter growth, with the fourth quarter having the potential to exceed the third quarter. The momentum for memory orders is expected to continue until the end of the year, with a positive market outlook at the beginning of next year. In addition to its core memory business, advanced packaging has become a key focus for the next phase of development. The panel-level packaging has already been adopted by American clients, and the production capacity of the P11 plant has been secured by clients, with plans to enter the mass production phase of integrated ASIC and HBM AI chips by mid-2027.Jingyuan Electronics has been actively expanding its high-end testing capacity in recent years, with AI-related products becoming an important driving force for its operations. The testing demand for AI GPUs, ASICs, and high-performance computing chips remains its main source of growth. Silergy pointed out that the demand for AI and high-speed interconnects is strong, including an increase in demand for high-performance computing chips such as CPUs, GPUs, ASICs, and AI accelerators. After completing the cleanroom construction at the newly acquired Hukou plant in February, Silergy began mass production in July, currently achieving 40% of the total capacity of the plant and gradually taking on new demand from overseas clients.

According to on-chain analyst Darkfost (@Darkfost_Coc), Bitcoin has just experienced the most intense deleveraging phase since 2023. The open interest on Binance has significantly dropped below the 180-day moving average, and the largest historical long and short liquidations during this cycle occurred during this period.Currently, the open interest on Binance remains at $9.6 billion, above the 180-day average of $8.3 billion, accounting for approximately 37% of the total open interest in Bitcoin, which is higher than the levels during the rebound in May—when this level helped BTC return to $82,000. Meanwhile, measured by the cumulative net buying volume over 365 days (the difference between spot buying and selling), the current buying pressure for Bitcoin has reached the strongest level since the last bear market. Analysts point out that although this adjustment has significantly impacted traders, there are signs of market recovery, providing support for a bullish rebound in Bitcoin; however, the excessively high leverage levels still need to be monitored, as they may trigger a new round of intense deleveraging.

On September 7, China's leading packaging and testing company Changdian Technology announced plans to raise no more than 6.5 billion yuan (approximately 968 million USD) through a private placement of shares, aimed at expanding advanced packaging capacity for AI chips and related technology research and development.The funds raised will primarily be directed towards the construction of production lines for high-density system-in-package and wafer-level packaging aimed at AI computing chips, in response to order demands from clients such as NVIDIA and AMD. Changdian Technology stated that the bandwidth and heat dissipation requirements for packaging technology have significantly increased for AI chips, and existing capacity is nearing full operation. This fundraising plan still requires approval from the shareholders' meeting and regulatory authorities.

NVIDIA CEO Jensen Huang stated that GPT-6 Astra was trained using over 100,000 NVIDIA Grace Blackwell NVLink72 chips. It took only 4 years from ChatGPT to o1, and then to Astra. AGI has arrived. Congratulations to the OpenAI team.

OpenAI officially released GPT-6 Astra on Thursday, with President Greg Brockman calling it a "generational leap in capability" during the press conference, and believing that the model has reached the standard of Artificial General Intelligence (AGI), meaning that artificial intelligence can match or exceed human capabilities. Brockman stated, "Welcome to the era of AGI." If this judgment holds, it means AI entities will be closer to performing reasoning tasks in various complex tasks that humans can do, and even more.GPT-6 Astra is OpenAI's first model to cross the "critical" threshold under its internal danger capability scoring system, the Preparedness Framework, which means it can independently discover previously unknown software vulnerabilities (i.e., zero-day vulnerabilities) without gradual human supervision and chain them into attacks that can run in hardened systems. In testing, the model achieved a score of 100% on the ExploitBench benchmark; to rule out inflated scores due to memory answers, OpenAI conducted a second test using 20 recent vulnerabilities from the Google V8 JavaScript engine. Astra not only surpassed the previous generation GPT-5.6 Sol but also discovered and chained two previously unknown zero-day vulnerabilities, which are still being disclosed to the affected parties.Due to its high autonomy, the monitoring difficulty of Astra has also increased. OpenAI acknowledges that in tests assessing its ability to evade supervision, the model is more difficult to track than previous systems.

On September 3, the one-stop AGI infrastructure platform B.AI announced that its cumulative user count has surpassed 2.3 million.B.AI describes itself as an intelligent global settlement layer that connects models, agents, and value flow. By optimizing computing power costs and aggregating large models with intelligent routing and scheduling, it provides services including LLM Services, BAIclaw, MCP, and Agent payment, covering model invocation, agent execution, and value settlement.