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AI & Enterprise
AI fact-checking tests of five latest models show 67 percent disagreement
Can AI replace fact-checking? Tests of five latest AI models on 1,000 identical claims found their verdicts diverged in more than two-thirds of cases. Fact-checking service Lenz analysed agreement rates across major large language models and found all five reached the same conclusion in 328 cases, while 672 showed at least one differing judgment. Lenz said the study was not aimed at picking a best model and is running follow-up accuracy research with human labels.
AI & Enterprise
\"2026 is the first year of AI agents... Four priorities needed to move beyond testing to deployment\"
Rahul Pathak of Amazon Web Services said 2026 is the year of AI agents and that data is the biggest differentiator. He set out four priorities drawn from more than 1,000 conversations with customers and partners: clear goals, data, guardrails and execution speed. He cited partners building agentic AI platforms on Amazon Bedrock and AgentCore, reporting productivity gains of 50 to 85 percent and 4 times ROI. AWS and AWS Korea also outlined their agentic AI stack and 2026 partner strategy.
AI & Enterprise
One year after DeepSeek, Chinese AI models spread rapidly, overtake U.S. in download share
Chinese AI companies are expanding developer ecosystems with open-source models, while U.S. firms stick to closed, API-based approaches, MIT Technology Review reported. A turning point was DeepSeek’s R1 reasoning model released in January 2025. Researchers said Chinese open-weight models accounted for 17.1 percent of global AI model downloads in the year to August 2025, edging the U.S. share of 15.86 percent. Adoption is rising in the Global South despite constraints such as censorship and disputes over distillation.
