Microsoft Probes DeepSeek Data - Video Insight
Microsoft Probes DeepSeek Data - Video Insight
Bloomberg Technology
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The discussion highlights AI models' IP risks, data handling implications, and persistent legal challenges surrounding AI technologies.

The discussion centers on concerns surrounding intellectual property (IP) protection among AI labs like OpenAI and the implications of new AI models like DeepSeek. With significant advancements in AI technology and cost reduction, questions arise about whether new models have been developed legitimately or at the expense of established institutions like OpenAI. Alex highlights the risks associated with cloud-based tools that may allow unintended data extraction through extensive querying, posing a challenge for companies wishing to safeguard proprietary information. Furthermore, he emphasizes the complexities involved in utilizing open-source models, noting the ideological constraints imposed by the Chinese government when it comes to data handling in AI applications. Legal issues remain deeply intertwined with the ethical deployment of AI technologies, particularly when it comes to the historical context of copyright and intellectual property law.


Content rate: B

The content presents valuable insights into the challenges and latest developments in AI and IP laws, supported by credible claims. However, some opinions remain speculative without extensive evidence.

AI IP Ethics Technology Security

Claims:

Claim: DeepSeek utilized OpenAI's models and Meta's open-source models to build its technology.

Evidence: Alex mentions that there are many who believe that DeepSeek integrated existing models from OpenAI and Meta to create their own model, which is under investigation.

Counter evidence: DeepSeek has published papers claiming breakthroughs in AI without relying on established trademarks like OpenAI's models, asserting their independent development capabilities.

Claim rating: 7 / 10

Claim: Data entered into the DeepSeek app goes directly to China.

Evidence: Alex explicitly states that any queries typed on the DeepSeek platform are accessible to the Chinese company and government, presenting a significant risk to user data security.

Counter evidence: There are no substantial counterarguments provided in the transcript disputing this claim regarding data flow from the app.

Claim rating: 9 / 10

Claim: Legal issues surrounding AI's intellectual property have not been resolved and remain complicated.

Evidence: Alex outlines ongoing legal challenges faced by AI companies related to training data usage, suggesting that traditional copyright frameworks are inadequate for contemporary technological challenges.

Counter evidence: Some legal scholars argue that advancements in AI could lead to a reevaluation of copyright laws which can better accommodate new technologies.

Claim rating: 8 / 10

Model version: 0.25 ,chatGPT:gpt-4o-mini-2024-07-18

### Key Facts and Insights from the Discussion: 1. **Concerns Over IP Theft**: - There is significant apprehension regarding the potential misuse of intellectual property from AI labs like OpenAI, especially regarding DeepSeek's claims of an advanced model built on minimal resources. 2. **DeepSeek's Breakthroughs**: - DeepSeek has published research demonstrating advancements in training costs and inference, which could impact the AI landscape. 3. **Investigations into Model Utilization**: - Allegations exist that DeepSeek might have leveraged OpenAI and Meta's models, sparking investigations into their methods. 4. **Microsoft's Business Model**: - Microsoft Azure allows users to create private copies of OpenAI models; however, this poses risks as customers can extract data by querying models extensively. 5. **Ethical Hacking Caution**: - Experts recommend caution in using untested apps like DeepSeek, emphasizing the need for ethical testing and understanding data handling processes. 6. **Data Transmission Risks**: - Using the DeepSeek app can direct user data to China, presenting privacy risks for companies and their proprietary information. 7. **Open-source Models**: - Downloading open-source model weights does not transmit data to China, although ideological biases may affect responses to sensitive topics. 8. **Legal Issues in AI Usage**: - Enterprises using AI models face potential legal battles if those models infringe on existing copyrights, as seen with OpenAI's ongoing lawsuits related to training data. 9. **Changing Landscape**: - The AI field is grappling with outdated intellectual property laws as it evolves rapidly, leading to unresolved legal challenges concerning content and ownership. 10. **Role of Governments**: - The conversation highlights the importance of understanding regulatory and ideological influences, particularly regarding AI models developed in China. ### Summary: The dialogue reflects growing concerns over intellectual property theft in AI, particularly with DeepSeek's capabilities, alongside the significant risks related to data privacy and legal issues surrounding AI model usage. It underlines the necessity for caution, ethical testing, and a clearer legal framework in the rapidly evolving AI landscape.