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Trip promotes the DRI system across the company to implement a major integration of production and research, breaking down functional boundaries

According to exclusive reports from Big Factory Daily, Trip.com held an all-hands meeting last week to announce the promotion of the "Integration of Production and Research" system across the company. This system is centered around DRI (Directly Responsible Individual) and merges personnel from product, operations, front-end, back-end, algorithms, testing, and other areas into project-based teams, breaking down traditional functional team boundaries with the goal of achieving "everyone is a full-stack developer, everyone is a product manager."In terms of specific execution, DRI leaders are not limited by function and can be original product, operations, or technical leaders. Team members within the project group collaborate across functions, which may lead to situations where products evaluate technical performance, and technology reports to operations. Front-end and back-end teams can also propose requirements and implement them independently. Ideas from product and operations that can be realized by AI can also be delivered independently, ultimately decided by the DRI.Currently, departments such as Trip.com Travel, Flights, and Content Center have begun to respond, with different teams progressing at varying paces, and the company has not imposed a one-size-fits-all requirement. The report indicates that this move is partly influenced by Silicon Valley concepts and aligns with the trend of blurred job boundaries in the AI era. This model can effectively reduce buck-passing and disputes, shorten delivery chains, and accelerate decision-making, but the challenge lies in the high comprehensive ability requirements for DRI leaders, who need to possess both technical understanding and business insight, and such qualified leaders are currently relatively scarce.

first_img Nomination for the Working Group on Tokenized Securities Standards by the Three Major Institutions of the European Union

According to Cointelegraph, the European Central Bank, the European Commission, and the European Securities and Markets Authority are jointly soliciting nominations for a working group led by the industry, which will establish unified standards for the holding and settlement of tokenized securities.Eligible applicants include EU industry associations, global institutions, private enterprises, and fintech companies, which can apply to join the European Tokenized Standards Group (ETSG) by November 27. The relevant work will commence in January 2027, with the aforementioned three EU institutions participating as observers.The working group will develop technical and market standards to assist businesses in holding and settling tokenized securities across different Distributed Ledger Technology (DLT) platforms, ensuring that these platforms can be compatible with existing financial systems.According to its scope of responsibilities, the working group plans to produce the first set of standards by early 2028. These standards will support Appia, which is the blueprint for the European tokenized financial market developed by the euro system.The three institutions warned that market fragmentation could limit the benefits brought by tokenization, and the working group may propose recommendations on how EU regulators can encourage businesses to adopt its standards. In September of this year, the euro system launched the Pontes system, allowing financial institutions to settle wholesale transactions of tokenized assets in central bank money.

first_img Reports indicate that Moon's Dark Side is seeking to rent advanced chip computing power from NVIDIA in Europe

CNBC cited four informed sources reporting that the Chinese artificial intelligence startup Dark Side of the Moon had discussions this year with several emerging cloud service providers operating data centers in Europe, seeking to rent computing power provided by NVIDIA GPUs. Three of the sources stated that Dark Side of the Moon primarily sought to rent NVIDIA's latest Blackwell series chips; one source indicated that the two parties had discussed renting a computing cluster deployed in Europe, consisting of 8,000 or more Blackwell chips.The sources said that Dark Side of the Moon mainly hopes to utilize these chips for AI model inference while also intending to acquire model training computing power. The United States currently prohibits the export of NVIDIA's most advanced AI chips to China, but existing laws have not granted regulatory agencies broad authority to restrict Chinese companies from remotely using these chips through overseas cloud services. Some cloud service providers and financing institutions, concerned about the U.S. tightening remote usage restrictions, have sought to charge higher advance payments, with proposals requiring Dark Side of the Moon to pay advance payments 30% to 50% higher than those of non-Chinese clients. Dark Side of the Moon was established in 2023 and owns the Kimi series models.

first_img The Dark Side of the Moon open-source Kimi K3.1 Pro tops the open-weight model rankings

According to a report by Phoenix Technology on November 5, the artificial intelligence company Moonshot AI announced that it has released the Kimi K3.1 Pro model weights on the Hugging Face platform. The AI model evaluation platform Arena revealed that Kimi K3.1 Pro (Max) ranks first among open-weight models in the Agent Arena intelligent agent leaderboard and 13th globally among all evaluated models, also ranking first among open models in work, programming, and chat categories.Arena stated that this ranking is based on over 17,500 real, long-term intelligent agent task conversations from global users. The net improvement rate of Kimi K3.1 Pro (Max) is +5.1%, an increase of 4.2 percentage points compared to the previous generation Kimi K3 (Max) at +0.9%. The Shell command execution reliability metric, Bash Reliability, is +7.9%, ranking first among open models, while the previous generation K3 was -4.5%, ranking 13th.The praise and complaint metric is +7.7%, compared to +1.3% for the previous generation; the controllability metric is +6.5%, also ranking first among open models. The task completion confirmation metric is +3.9%, ranking fourth among open models, slightly higher than the previous generation's +3.8%. Moonshot AI's data shows that this model uses a mixture of experts architecture, with a total parameter count of 2.8 trillion, approximately 104 billion parameters activated per inference, supporting around 1 million tokens of context, and possessing native multimodal capabilities, focusing on enhancing programming, 3D creation, financial research, factual accuracy, and the execution capabilities of complex intelligent agent tasks.

first_img Binance Chinese Community Head Sisi: Binance takes responsibility for the stolen platform, not shifting blame to engineers and technical standards

On November 4, the head of the Binance Chinese community, Sisi, responded to the security incident at the end of October, stating that approximately $6.3 billion was transferred out of the Binance system, and the responsibility lies with Binance, not with any individual engineer or technical standard. She stated that the related losses would be compensated by the platform, and users could verify themselves on the reserve proof page; the frozen and intercepted portions would be recovered one by one in cooperation with law enforcement and on-chain institutions.Sisi mentioned that after the withdrawal was reopened, the platform focused on ensuring that every withdrawal was processed. She stated that the scale of withdrawals in the past two days was on the same level as the stolen amount, and every transaction had been fulfilled, with user assets remaining intact; the platform did not misappropriate user assets. She also stated that the company's decision-making body requested that the investigation report be unembellished and truthfully disclosed, with timelines, attack paths, malicious script operations, and internal shortcomings all included in the report.Sisi cited an FBI report stating that the adversary was a nation-state actor, and since the beginning of this year, Binance had intercepted 57 suspected attacks from the same source. She indicated that all intrusion points mentioned in the report had been blocked; as of November 3, the affected wallet system had been rebuilt in a new environment, internal AI tools had been rebuilt and permissions tightened, affected devices had been replaced, relevant credentials and tokens had been invalidated, and a comprehensive device security scan and wallet risk control upgrade had been completed. She also mentioned that some defensive lines would not be made public and that an independent third-party security agency had been hired for review, with the conclusions to be announced externally. Binance's preliminary investigation previously indicated that the incident involved assets of approximately $6.34 billion, with about $2.85 billion frozen or intercepted, and the losses would be borne by the platform.
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