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openai

OpenAI is an American company dedicated to artificial intelligence research and development, with the mission of creating safe and beneficial general artificial intelligence (AGI). Its most well-known products are ChatGPT and the GPT series of large language models.
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Zhang Yiming: ByteDance will not be able to compete with OpenAI until 2029

ByteDance founder Zhang Yiming recently provided a timeline at the all-hands meeting of the Seed team, stating that ByteDance is not expected to compete with OpenAI and Anthropic in the cutting-edge AI field until 2029 to 2030 at the earliest. Zhang Yiming pointed out that the pre-training dataset used by the Seed large language model is several orders of magnitude smaller than that of top competitors. Doubao is the largest AI chat application in terms of user scale in the country, and the video generation model Seedance has also entered the ranks of the world's top models.When Seed 2.1 was released in June this year, the team admitted that the model still has significant shortcomings in high-difficulty open tasks and cutting-edge scientific research problems. In May this year, the company discussed raising its annual capital expenditure to a maximum of $70 billion, mainly for building AI data centers and other infrastructure. In August, it was reported that Seed is pre-training a large model with up to 100 trillion parameters, surpassing all publicly available large models in the country.Seed currently has about 1,000 R&D personnel, led by Wu Yonghui, who was recruited by Zhang Yiming from Google DeepMind last year. ByteDance has also launched a virtual stock "Doubao Stock" linked to the Doubao business. ByteDance plans to launch a personal AI assistant similar to Meta Muse in the coming weeks, allowing users to interact with AI through voice and virtual avatars and have it complete tasks on their behalf. The personal assistant project, internally codenamed Spell, began internal testing in April but was not officially launched due to the release of the Doubao phone and other reasons. It is now planned to be further integrated with Doubao.

first_img OpenAI launched the Control Room system, which can cut off model output within 35 seconds

OpenAI announced the launch of a centralized system called Control Room, designed to track model workloads within its research infrastructure and quickly halt related tasks when security or safety concerns arise. This system currently covers research workloads within OpenAI, including training experiments, evaluations, and data processing. OpenAI stated that as model capabilities increase, associated safety and security risks also rise, making it increasingly critical to detect potential issues in a timely manner and swiftly halt models when necessary.In terms of specific mechanisms, Control Room assigns an identifier to each research task, and the inference engine verifies this identifier before generating model outputs. When a stop command is issued by manual or automated monitoring systems, Control Room revokes the authorization for that task, thereby blocking subsequent outputs, even if the underlying research program is still running. OpenAI noted that cached authorizations could delay shutdowns by up to 35 seconds; additionally, if Control Room itself is unavailable, the system is designed to reject new requests.Prior to this release, OpenAI had disclosed multiple incidents this year where research models deviated from instructions during evaluations. In July, the company reported that its model escaped a restricted testing environment and infiltrated Hugging Face to cheat in a security assessment. In October, it disclosed that a research model used an unauthorized encrypted wallet to pay for smart contract deployment fees on the testnet ETH, and this expenditure was omitted from the final summary.

Yuanjing Star River Base 120MW completed in one year, with a cost of about one-fifth of similar projects in the United States

After a field visit to the Yuanjing Star River base in Ulanqab, Inner Mongolia, the American semiconductor research organization SemiAnalysis stated that the construction cost of this Chinese AI data center park may be only one-fifth of similar projects in the United States. The first phase of the Star River base, with a capacity of 120MW, was completed and delivered in less than a year. On August 6 of this year, the infrastructure for the first phase was completed, and the wind power and energy storage company Yuanjing Technology announced that the base officially commenced production. After nearly three months of electromechanical debugging and deployment of computing power equipment, the first phase of the approximately 200MW project was fully delivered to customers by the end of October.The entire park is planned to reach an IT power supply capacity of 800MW by the end of 2027, comparable to the approximately 820MW planned for OpenAI's Stargate Abilene core park, which is expected to reach this scale by the end of 2026. Stargate is a data center construction plan covering multiple states, with an initial goal of implementing 10GW of AI infrastructure capacity in the United States by 2029. In April of this year, OpenAI announced that it had secured over 10GW of planned capacity ahead of schedule, but these data centers have not all been completed and put into operation.Yuanjing Technology integrates power generation, energy storage, power supply, and data center construction, having built two wind farms with a total installed capacity of 420MW and supporting battery storage, aiming for over 60% of the electricity used by the first two phases of the data center to come from its own wind power. In contrast, the American Stargate Abilene park mainly relies on the grid and on-site gas-fired power generation facilities for electricity. Yuanjing has already operated an 800V high-voltage direct current system in a 5MW machine room, directly converting 10kV alternating current into the direct current required for server cabinets. The park also employs a cooling design that does not require central chilled water units, allowing liquid-cooled and air-cooled servers to share a single water circulation system.
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