An analysis of 160 deepfake websites reveals politicians in 22 countries appear on them. Nearly all of them are women.
【数据】这一声明提供了具体数字（160个网站，22个国家），但'Nearly all'是一个模糊表述。需要核实确切比例和具体数字，以及分析方法的透明度。这关系到问题的严重性和规模评估。
14 Matching Annotations
- Last 7 days
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www.wired.com www.wired.com
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- Jun 2026
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cognition.ai cognition.ai
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FrontierCode produces 81% less misclassification errors than other leading benchmarks.
与现有基准相比，81%的误分类错误减少率是一个强有力的数据点，证明了FrontierCode评估方法的准确性和可靠性。这表明该基准更接近人类开发者的实际评估标准，但缺乏对误分类类型的详细分析。
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- May 2026
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At launch, only a quarter of returns were at 75% correct field completion, but within six weeks, 86% hit that mark.
这是一个惊人的学习曲线，从25%到86%的提升发生在短短6周内。这表明系统具有强大的自学习能力，能够快速从实践中改进。86%的75%准确率意味着约14%的案例仍需人工干预，这符合实际应用场景中AI与人类协作的模式。
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www.anthropic.com www.anthropic.com
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90.6% (1,587) have proved to be valid true positives, and 62.4% (1,094) were confirmed as either high- or critical-severity
AI模型发现的漏洞中，90.6%被确认为真实阳性，这是一个相当高的准确率。然而，只有62.4%被确认为高危或严重级别，这意味着约28.2%的高危/严重级别评估被降级，这表明AI模型在漏洞严重性评估方面仍有改进空间。
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90.6% (1,587) have proved to be valid true positives, and 62.4% (1,094) were confirmed as either high- or critical-severity
这两个百分比数据点(90.6%验证率，62.4%确认高危率)对于评估AI模型在安全漏洞检测中的可靠性至关重要。90.6%的验证率表明AI模型的误报率相对较低，这在AI安全领域是相当出色的表现。然而，62.4%的确认高危率意味着近40%的AI评估高危漏洞实际严重程度较低，这反映了AI在严重性评估上仍有改进空间。
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deepmind.google deepmind.google
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the overall accuracy of predicting the risk of natural disaster—aggregated across 20 categories such as wildfires, floods, and tornadoes—was increased by 5%.
5%的灾害预测准确率提升虽然看似不大，但这是针对20种不同灾害类别的综合提升，对于灾害预警系统而言具有重要价值。这种提升可能挽救生命并减少经济损失，特别是在高风险地区。
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achieving a 30% reduction in variant detection errors.
这是一个显著的数据点，表明AlphaEvolve在基因组学应用中大幅提高了DeepConsensus模型的准确性。30%的误差减少对于基因测序研究具有重要意义，可以降低成本并提高数据质量，可能发现以前隐藏的致病突变。
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subq.ai subq.ai
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SubQ 1M-Preview scores 95% accuracy, compared to 94.8% for Claude Opus 4.6
在RULER 128K基准测试中，SubQ 1M-Preview准确率达到95%，略高于Claude Opus 4.6的94.8%。这个数据点表明SubQ在长上下文理解方面已达到前沿水平，同时突破了传统二次扩展模型的性能瓶颈。
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URL
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- Dec 2021
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twitter.com twitter.com
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Tom Moultrie. (2021, December 12). Given the comedic misinterpretation of the South African testing data offered by @BallouxFrancois (and many others!) last night ... I offer some tips having contributed to the analysis of the testing data for the @nicd_sa since April last year. (1/6) [Tweet]. @tomtom_m. https://twitter.com/tomtom_m/status/1469954015932915718
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- Jun 2021
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www.theguardian.com www.theguardian.com
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Rapid Covid tests used in mass UK programme get scathing US report | Coronavirus | The Guardian. (n.d.). Retrieved June 12, 2021, from https://www.theguardian.com/world/2021/jun/11/us-health-agency-gives-innova-lateral-flow-covid-tests-scathing-review
Tags
- lang:en
- mass testing
- concern
- lateral flow
- US Food and Drug Agency
- UK
- data
- government
- USA
- intervention
- FDA
- is:news
- Innova
- accuracy
- rapid COVID test
- risk
- COVID-19
Annotators
URL
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- Nov 2020
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psyarxiv.com psyarxiv.com
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Bauer, B., Larsen, K. L., Caulfield, N., Elder, D., Jordan, S., & Capron, D. (2020). Review of Best Practice Recommendations for Ensuring High Quality Data with Amazon’s Mechanical Turk. PsyArXiv. https://doi.org/10.31234/osf.io/m78sf
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- Sep 2020
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www.covid-projections.com www.covid-projections.com
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COVID Projections Tracker. (n.d.). Retrieved September 7, 2020, from https://www.covid-projections.com/
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- Aug 2020
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Manski, C. F., & Molinari, F. (2020). Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem (Working Paper No. 27023; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27023
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- Jun 2020
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psyarxiv.com psyarxiv.com
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Parsons, Sam. ‘Reliability Multiverse’, 26 June 2020. https://doi.org/10.31234/osf.io/y6tcz.
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