I am a journalist with National Business Daily, one of China’s leading business and financial media outlets. I am working on a story about how U.S. companies are rethinking their AI model strategies as inference costs rise.
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请求内容
I am looking to speak with U.S.-based companies, founders, CTOs, AI infrastructure leaders, or engineering teams that have moved part or all of their production AI workloads from OpenAI, Anthropic Claude, Google Gemini, or other leading proprietary models to Chinese open-source or open-weight models such as DeepSeek, Alibaba Qwen, Z.ai GLM, Moonshot AI Kimi, or similar models. Key questions: What model or provider were you using before the switch, and which Chinese model did you move to? What was the main reason for the switch — cost, performance, latency, customization, model control, or something else? How much did inference costs decline after the migration, if you are able to share a rough estimate or percentage range? Which workloads are now good enough for Chinese open-source or open-weight models, and which still require proprietary frontier models? How do you evaluate data security, compliance, reliability, and geopolitical concerns when using Chinese AI models? Written responses are welcome. I am also open to speaking on background if the company is not able to be named. Back to top _____ 6) SUMMARY: Best Things to Do, Restaurants, Day Trips, Boating, Fishing and Spas in Lima, Peru CATEGORY: Travel NAME: Chaya Milchtein EMAIL: [email protected] MUCK RACK URL: https://muckrack.com/chaya-milchtein/articles MEDIA WEBSITE: https://www.salon.com/writer/chaya-milchtein DEADLINE DATE: 2026-07-11 DEADLINE TIME: 7:00 pm TIME ZONE: Eastern Standard Time
AI 请求摘要
success记者寻找美国公司、创始人、CTO、AI基础设施领导者或工程团队，这些团队已将生产AI工作负载从OpenAI、Anthropic Claude、Google Gemini等专有模型迁移到DeepSeek、阿里Qwen、智谱GLM、月之暗面Kimi等中国开源或开放权重模型，并愿意分享迁移原因、成本变化、工作负载适配情况以及数据安全、合规、可靠性和地缘政治担忧等方面的经验。
- 请求意图
- 获取美国公司转向中国AI模型的实际案例、数据以及决策考量，以报道推理成本上升背景下AI模型策略的变化。
- 记者问题
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- 迁移前后使用的模型或提供商分别是什么？
- 迁移的主要原因是什么——成本、性能、延迟、定制化、模型控制还是其他？
- 迁移后推理成本下降了多少（可提供粗略估计或百分比范围）？
- 哪些工作负载现在用中国开源或开放权重模型足够好，哪些仍需要专有前沿模型？
- 如何评估使用中国AI模型时的数据安全、合规、可靠性和地缘政治担忧？
- 理想专家
- 主题标签
- 建议 Pitch 角度
- N/A
- 置信度
- high
AI 推荐客户
no_matchAI 判断目前没有足够合适的客户，不建议强行 pitch。所有客户均为传统制造业或消费品行业公司，无AI模型开发或迁移相关的技术背景，无法回应记者关于美国公司从专有AI模型迁移到中国开源模型的请求。
客户匹配 20 个客户
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| 0 | 留存 | Motopai | no client keyword/topic match |
| 0 | 留存 | Peak Home Furnishings | no client keyword/topic match |
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| 0 | 留存 | Square Technology | no client keyword/topic match |
| 0 | 留存 | Sunshine Outdoor | no client keyword/topic match |
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| 0 | 留存 | Witpax | no client keyword/topic match |
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