51 Matching Annotations
  1. Last 7 days
    1. up to 5 gigawatts (GW) of capacity for training and deploying Claude

      5GW的算力规模极其庞大,相当于一个小型国家的电力消耗。这一数字表明Anthropic正在为AI模型训练和部署构建前所未有的基础设施,反映了大型语言模型对计算资源的巨大需求。相比其他AI公司的算力规模,这是一个非常激进的扩张计划。

    2. up to 5 gigawatts (GW) of capacity for training and deploying Claude

      5GW的算力规模是惊人的,相当于一个小型国家的电力消耗。这个数字表明Anthropic正在为AI模型训练和部署进行大规模基础设施投资,反映了大型语言模型对计算资源的巨大需求。这一规模与OpenAI等竞争对手的算力投入相当,显示AI算力竞赛正在升级。

  2. Apr 2026
  3. Dec 2025
  4. Sep 2025
    1. During each call, Stewart said, Amazon officials have not been helpful."They wanted to do background checks on all my firefighters; I wouldn't let them," he said. "And we've struggled to gain access to emergencies. They'll stop us at the gate, and our medic units have been delayed. They're denying us access to patients.

      AWS denies first responder access to facilities

  5. Jul 2025
    1. Recently, OpenAI has shared something. In a blog post, CEO Sam Altman said that the average query uses about 0.34 watt hours of energy.

      OpenAI's accounting of text generation energy usage

      From the 10-Jun-2025 blog post:

      People are often curious about how much energy a ChatGPT query uses; the average query uses about 0.34 watt-hours, about what an oven would use in a little over one second, or a high-efficiency lightbulb would use in a couple of minutes. It also uses about 0.000085 gallons of water; roughly one fifteenth of a teaspoon.

  6. May 2025
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  30. May 2018
    1. We showhow the rise of large datasets, in conjunction with arising interest in data as scholarly output, contributesto the advent of data sharing platforms in a field trad-itionally organized by infrastructures.

      What does this paper mean by infrastructures? Perhaps this is a reference to the traditional scholarly journals and monographs.

  31. Sep 2015
    1. This approach is called change data capture, which I wrote about recently (and implemented on PostgreSQL). As long as you’re only writing to a single database (not doing dual writes), and getting the log of writes from the database (in the order in which they were committed to the DB), then this approach works just as well as making your writes to the log directly.

      Interesting section on applying log-orientated approaches to existing systems.