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 (#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] (mailto:[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记者正在寻找已经将部分或全部生产AI工作负载从OpenAI、Anthropic Claude、Google Gemini等专有模型迁移到中国开源或开放权重模型（如DeepSeek、Qwen、GLM、Kimi等）的美国公司，并希望了解迁移的原因、成本变化、工作负载适配性、数据安全合规和地缘政治考量。
- 请求意图
- 寻找采访对象，接受书面回复或匿名背景采访。
- 记者问题
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- 迁移前使用的模型和迁移后使用的中国模型是什么？
- 迁移的主要原因（成本、性能、延迟、定制、模型控制等）？
- 推理成本下降的粗略估计或百分比范围？
- 哪些工作负载现在适合中国模型，哪些仍需专有模型？
- 如何评估使用中国AI模型时的数据安全、合规、可靠性和地缘政治问题？
- 理想专家
- 主题标签
- 建议 Pitch 角度
- -
- 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。记者需要的专家是美国公司迁移到中国AI模型的实践者，而客户列表全部是传统制造业（如机械、家居、包装等），没有任何与AI模型开发或迁移相关的客户。
客户匹配 20 个客户
| 分数 | 状态 | 客户 | 命中 | 原因 |
|---|---|---|---|---|
| 0 | 留存 | BOBO Machine | - | no client keyword/topic match |
| 0 | 留存 | ChanglongFlor | - | no client keyword/topic match |
| 0 | 留存 | Heat Exchange | - | no client keyword/topic match |
查看其余 17 个低分客户
| 分数 | 状态 | 客户 | 原因 |
|---|---|---|---|
| 0 | 留存 | JHT Home | no client keyword/topic match |
| 0 | 留存 | JoyLive Lift | no client keyword/topic match |
| 0 | 留存 | Knitthrow / Ruijing | no client keyword/topic match |
| 0 | 留存 | Motopai | no client keyword/topic match |
| 0 | 留存 | Peak Home Furnishings | no client keyword/topic match |
| 0 | 留存 | RUHO Living | no client keyword/topic match |
| 0 | 留存 | Ryoma Ramie Fabric | no client keyword/topic match |
| 0 | 留存 | SQPANEL | no client keyword/topic match |
| 0 | 留存 | SUTONG Technology | no client keyword/topic match |
| 0 | 留存 | Sinoseaweed | no client keyword/topic match |
| 0 | 留存 | Square Technology | no client keyword/topic match |
| 0 | 留存 | Sunshine Outdoor | no client keyword/topic match |
| 0 | 留存 | Titantec | no client keyword/topic match |
| 0 | 留存 | Witpax | no client keyword/topic match |
| 0 | 留存 | Wonderful Party | no client keyword/topic match |
| 0 | 留存 | YQ Magnetic | no client keyword/topic match |
| 0 | 留存 | ZHIJING Truck Parts | no client keyword/topic match |