13 Matching Annotations
  1. Last 7 days
    1. According to reporting from the _New York Times_ and the _Atlantic_, contract negotiations between Anthropic and the US Department of Defense fell apart in late February because Anthropic balked when the DOD demanded leeway to use the company’s models to analyze commercially available data on US citizens.

      这里提到了具体事件和数据,表明LLMs在监控领域的潜在应用引起了全球关注,以及相关公司对于政府使用其技术的态度。

  2. Aug 2022
    1. https://app.idx.us/en-US/services/credit-management

      Seems a bit ironic just how much data a credit monitoring wants to help monitor your data on the dark web. So many companies have had data breaches, I can only wonder how long it may be before a company like IDX has a breach of their own databases?

      The credit reporting agencies should opt everyone into these sorts of protections automatically given the number of breaches in the past.

  3. Sep 2021
  4. Jun 2021
  5. Jan 2021
  6. Oct 2020
  7. Jun 2020
  8. May 2020
    1. Betsch, C., Wieler, L., Bosnjak, M., Ramharter, M., Stollorz, V., Omer, S., Korn, L., Sprengholz, P., Felgendreff, L., Eitze, S., & Schmid, P. (2020). Germany COVID-19 Snapshot MOnitoring (COSMO Germany): Monitoring knowledge, risk perceptions, preventive behaviours, and public trust in the current coronavirus outbreak in Germany. https://doi.org/10.23668/PSYCHARCHIVES.2776

  9. Apr 2020
  10. May 2018
    1. Negative values included when assessing air quality In computing average pollutant concentrations, EPA includes recorded values that are below zero. EPA advised that this is consistent with NEPM AAQ procedures. Logically, however, the lowest possible value for air pollutant concentrations is zero. Either it is present, even if in very small amounts, or it is not. Negative values are an artefact of the measurement and recording process. Leaving negative values in the data introduces a negative bias, which potentially under represents actual concentrations of pollutants. We noted a considerable number of negative values recorded. For example, in 2016, negative values comprised 5.3 per cent of recorded hourly PM2.5 values, and 1.3 per cent of hourly PM10 values. When we excluded negative values from the calculation of one‐day averages, there were five more exceedance days for PM2.5 and one more for PM10 during 2016.