Red Flag? OpenAI's Agentic ChatGPT Work Signs Into Your Accounts Without You
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Liu Liehong: The release of industry data value has entered a new stage of in-depth advancement, and the National Data Administration will work with relevant departments to introduce targeted and specific measures.
Mars Finance reported on July 7th that Liu Liehong, Secretary of the Party Leadership Group and Director of the National Bureau of Data, attended and addressed the opening ceremony of the "2026 Global Digital Economy Conference" and the "Data Element Development Forum" held in Beijing from July 2nd to 3rd. Liu Liehong stated that with the implementation of the "531" work system, the potential of data elements is being released at an accelerated pace, and data circulation and utilization are showing new trends. First, the release of industry data value has entered a new stage of in-depth advancement. Enterprises should focus on the "three main battlefields" to realize their own value in deepening the circulation and utilization of industry data; local governments should focus on creating a strong data atmosphere to empower industrial transformation and promote high-quality economic development through data; the National Bureau of Data will work with relevant departments to introduce targeted and specific measures. Second, the solutions to key problems are becoming clearer. For example, adapting to the diverse data needs of artificial intelligence and solving the problems of "dispersed system construction, inconsistent standards, and difficulty in data sharing," the practice of using "technology empowerment" such as intelligent agent invocation to resolve the pain point of "data dispersion," and using "semantic unification" to solve the problem of "inconsistent formats" has begun to show results. Third, data empowerment for the innovative development of artificial intelligence is continuously deepening. On the supply side, we will accelerate the construction of a high-quality dataset supply system for the industry; on the circulation side, we will systematically optimize data usage rules and circulation models for artificial intelligence; on the application side, we will drive the data flywheel to accelerate through "analog-data resonance". (National Data Administration website)
OpenAI Says It Solved a $1M Math Problem. A Rival Mathematician Says He Did It First
NYU's Tristan Buckmaster accuses OpenAI's Sébastien Bubeck of racing to claim credit for a Navier-Stokes proof after learning about his unpublished work with Anthropic's Levent Alpöge.