cien

According to official news, TRON has officially released the GreatVoyage-v4.8.2.3 (Anaxagoras) version.The new version focuses on improving the smart contract storage access mechanism, enhancing the performance of BN128 pairing operations, and optimizing the parsing process of JSON data generated by nodes, further enhancing node operational efficiency and stability.This version is a mandatory upgrade, and TRON reminds node operators to complete the update as soon as possible to avoid affecting block synchronization. After the upgrade is completed, relevant nodes can promptly report their deployment status so that the community can continuously track the overall network upgrade progress.For specific version changes, GPG signature verification, and deployment methods, please refer to the official version release notes and upgrade deployment documentation.

According to Crypto Briefing, Orca's Chief Legal Officer Christopher Montagano stated at the Korea Blockchain Week that the innovation exemption released by the SEC on September 17 provides the conditions to verify whether DeFi blockchain tracks are more efficient than traditional infrastructure.The exemption offers a conditional relief period of 5 years, until September 17, 2031; under this framework, tokenized securities venues and specific liquidity providers can operate tokenized U.S. stock licensed trading without registering as exchanges or brokers.Montagano stated that the exemption is specifically designed for AMM but does not constitute a ruling on DeFi; relevant parties must still comply with sanction rules and obtain issuer consent to distinguish it from unlicensed DeFi. Orca has been involved in discussions with the SEC since 2025 and began trading tokenized stocks in November of the same year.

According to on-chain analyst @ai_9684xtpa, an ancient whale that purchased 560,000 ETH in 2015 transferred ETH worth $356 million, with a cost as low as $0.31.5 hours ago, he transferred 133,298 ETH to the new address 0x69e...27e93, marking the whale's first single transaction worth over $100 million in 4 years.

On September 23, the B.AI platform announced that the Xiaomi MiMo-V2.6 series of open-source native multimodal inference large models is fully online, with API and Web Chat both open for experience. This series is equipped with 1M Token ultra-long context and full-dimensional understanding capabilities for text, images, videos, and audio. Among them, the MiMo-V2.6-Pro adopts a sparse MoE architecture with a total of 1.02 trillion parameters and 42 billion active parameters, specifically designed for warehouse-level software engineering, long-cycle agents, and complex multimodal inference.The MiMo-V2.6-Flash, on the other hand, is based on an architecture with a total of 309 billion parameters and 15 billion active parameters, focusing on high throughput and ultra-fast response, aimed at high-frequency office automation and large-scale agent invocation scenarios. From now on, developers and users can directly call the two models through the B.AI platform.

Layer1 public chain Linera team members announced on Discord that their token sale on Sonar received nearly $900,000 in token fundraising commitments, but did not reach the minimum threshold required to complete the sale, and all token sale funds have been refunded to users. The team then attempted to seek emergency financing to maintain project progress towards the mainnet launch but was unable to raise the necessary funds.Currently, the team is gradually shutting down applications and the Discord community. User point balances will be retained, but the team cannot promise any future rights for the points. The team still hopes to complete protocol development and launch applications in the future.According to the tokenized asset platform RootData, Linera has raised a total of $12 million in funding, with investors including a16z Crypto, GSR, Tribe Capital, Flow Traders, Laser Digital, and others.

Former New York Fed President Dudley stated that the reasons for the Federal Reserve's current tightening of monetary policy are quite sufficient, and the interest rate hike in September may not be a "one-time action," but rather the beginning of a series of continuous rate increases. Dudley pointed out that the U.S. inflation rate remains persistently above the Fed's 2% target, the labor market remains relatively stable, and the core CPI rose 0.3% month-on-month in August, further dispelling market concerns about a cooling of inflation.In his view, the Federal Reserve is currently clearly deviating from its dual mandate goal regarding price stability, and there are still further upward risks for inflation in the short term. Dudley expects that the Federal Reserve may provide a median expectation of two cumulative rate hikes of 25 basis points each for 2026 in the Summary of Economic Projections (SEP) to be released in September. He also noted that over the past few decades, the probability of the Fed raising rates again after a single hike has been as high as 85% to 90%, so the market should not view this round of actions as "a mere taste."Additionally, Dudley believes that if Waller decisively raises rates, it would also help demonstrate his determination to curb inflation and the Fed's policy independence. He warned that Waller should not "outsource" monetary policy to the financial markets, and the future path of interest rates should be determined by the Fed based on economic data and its own policy judgments, rather than catering to market expectations.

The Central Science Management Bureau confirmed on the 9th that TSMC's Central Science Phase II 1.4 nanometer factory expansion is fully accelerating. The first P1 factory has completed its steel structure and is expected to begin trial production in April next year, with mass production anticipated in the second half of next year, ahead of the originally scheduled mass production in 2028. TSMC has applied to the Central Science Management Bureau to set up two temporary offices at the site, which are expected to be completed in April next year, with the first batch of over 5,400 operational and outsourced personnel moving in.The advanced process new factory for TSMC's Central Science Phase II park broke ground last October, planning to build four 1.4 nanometer factories, with nearly 2,000 workers working day and night. The P1 factory is currently undergoing floor and exterior wall construction, with the factory building expected to be completed early next year. The P2 factory has begun basic construction and is scheduled to be completed in October next year, with both factories expected to start mass production successively next year. The P3 factory has obtained a construction permit, while the P4 factory is in the process of applying for a construction permit, planning to be built with a six-month gap. P3 is expected to be completed in the second quarter of 2028, and P4 is scheduled for completion in the fourth quarter of the same year. After the P2 factory is completed in the second half of next year, an additional 1,000 operational personnel will be added, with the total number of employees expected to be between 9,000 and 10,000 when all four new factories in Phase II are completed and put into production.

The U.S. Treasury Department announced that it will purchase at least $4 billion and up to $6 billion of long-term government debt in its expanded repurchase program. U.S. Treasury bonds continued to decline after the announcement, indicating that the scale is smaller than some investors had expected.Economist Guha stated that it remains to be seen whether the impact of the intervention can be sustained.

Dwarkesh Patel and Jerry Han published research on September 8, 2026, breaking down the contributions of data and model improvements in pre-training progress from 2019 to 2025. The study was conducted on a smaller scale, focusing on pre-training, corresponding to the publicly released model recipes and publicly available data corpora for each year, and was trained at a computational scale of up to 1e19 FLOPs.The results show that under the 1e19 FLOPs computational budget, the computational efficiency gain from data improvements is 12.0 times, while model improvements yield 3.7 times, with the data-side gain being approximately 3.24 times that of the model side. The gains from data and model improvements are largely independent and interact very little, with the additive effect of both explaining 88% of the variance in OLMES scores under a linear model.On the model side, the evolution from GPT-2 to OLMo-2 encompasses optimizers, positional encoding, normalization, activation functions, and initialization, among others. On the data side, the corpus evolved from approximately 9 billion tokens of OpenWebText in 2019 to larger and more finely filtered corpora like UltraFineWeb by 2025.

Gate Europe CEO Dr. Giovanni Cunti stated in a LinkedIn post that financial markets are becoming increasingly interconnected, with digital assets, stablecoins, and tokenized assets merging with traditional finance, reshaping the pathways for cross-border capital flow. The core of liquidity is no longer just depth and trading volume, but also the efficiency of capital circulation and the ability to access it instantly.He emphasized that future liquidity not only means more capital but also aims to make capital flow more easily and be accessed more efficiently, achieving better connections between different markets. Broad market access can break the fragmentation of liquidity and enhance the efficiency of capital operations. As stablecoins accelerate payment settlements and tokenization introduces new assets, the focus is on promoting seamless collaboration across all links.Relying on the compliance foundation of the MiCA and payment institution PI dual licensing system, Gate Europe has established highly regulated operational standards to enhance the confidence of institutions, enterprises, and investors with a clear regulatory framework. He pointed out that Europe is advancing digital asset innovation alongside regulatory compliance. Gate Europe stated that it will continue to empower this transformation and work with industry partners to shape the future together.

According to the Financial Times, citing informed sources, Chinese memory chip manufacturers Changxin Storage and Yangtze Memory Technologies have purchased enough deep ultraviolet lithography machines (DUV) from ASML to meet their expansion plans for the next three years.

OpenAI Chief Scientist Jakub Pachocki published an article titled "An Alien Mind" on September 6, 2026. The article reviews the results of the RLSlow research project, which emerged in mid-2023, demonstrating the first scalable training of reasoning models. It states that three years later, reasoning language models have become part of rapid economic growth, beginning to push scientific boundaries, capable of operating computers and graphical interfaces, collaborating with humans and other AIs on research projects, while also changing the landscape of computer security and introducing new dangers.The author anticipates that the current pace of progress may continue towards recursive self-improvement based on internal results. If AI development continues along the current path, systems may experience equivalent or greater leaps in capability in the coming years, increasingly driving their own development. The author calls for extreme caution, believing that no one is prepared to deal with the consequences of the rapid rise of machine intelligence. OpenAI will continue to seek technical solutions for alignment and monitoring, build defensive systems, and unilaterally halt further scaling when necessary, but believes broader intervention is needed.The article states that machine intelligence is primarily driven by increased computational power, with AI growing more than being designed. In terms of alignment, it distinguishes between goal alignment and value alignment, with the core challenge being generalization. GPT-6 Astra shows significantly better alignment than GPT-5.6 Sol, but more progress is still needed. In monitoring, the focus is mainly on chain-of-thought monitoring, with assessments showing that reliance on capabilities is gradually weakening. In terms of scalable defense, models are becoming superhuman in breaking into computer systems, currently in a narrow window where using the best available models significantly enhances the security of critical systems.

OpenAI Chief Scientist Jakub Pachocki stated that he hopes to avoid a race towards "unmonitorability" of models due to misleading reports. He mentioned that current cutting-edge models, including Astra, have a computational graph depth that differs from GPT-4 by no more than a factor of two. Since the launch of the first inference models, OpenAI has been committed to preserving and utilizing chain-of-thought monitoring, believing that this technology helps observe how the model's alignment capabilities generalize from the training distribution.Pachocki also pointed out that chain-of-thought monitoring is relatively fragile, and the trend is not optimistic, but it can still be strengthened through research and has become a core objective of OpenAI's current research agenda. Previously, The Information reported that Astra uses recurrent depth, allowing the same set of Transformer layers to compute repeatedly. As a result, some inferences can occur internally within the model, without needing to be entirely expressed as a chain of thought, raising concerns about whether the model will become increasingly difficult to monitor.

Fidelity Global Macro Research Director Jurrien Timmer stated that Bitcoin has maintained its power law curve bottom and has adjusted long enough to meet the time factor of the four-year cycle.

Tencent Group Senior Executive Vice President, CEO of Cloud and Smart Industries Group, Tang Daosheng, published an article in Tencent's internal publication, responding to external doubts about "Tencent being slow in AI." He stated that it is impossible to be completely untroubled; the Hunyuan large model has undergone multiple reconstructions, and Hunyuan Hy3 has shown outstanding performance among large models with equivalent parameters. However, due to the company's overall lack of computing power, the training of models and product development has been significantly slowed down, resulting in a considerable impact.Tang Daosheng mentioned that waking up early may not be the most critical factor; the second half of AI has just begun, and enduring longer provides the opportunity to seize the continuously emerging new opportunities.

Research institution Digitimes stated that with the surge in AI-driven infrastructure spending, major cloud service providers are expected to place greater emphasis on operational efficiency and financial discipline in the second half of 2026. Amazon, Alphabet, and Microsoft reported a combined cloud business revenue of $106.3 billion in the second quarter, with an annual growth rate accelerating to 43%. These companies are expected to increase their total capital expenditures to $74.5 billion.