Deepseek - a cheater? (Exposed)

Updated: February 26, 2025

CodeWithHarry


Summary

The video delves into the drama surrounding allegations of technology theft by an Indian company from Deep Seek, with China's response included. It compares ONA and R1 models, addresses the controversy of stolen technology, and discusses the economic implications. The distillation process in AI, model training, and data usage are explained, along with discussions on data theft, AI models, and ongoing investigations. Ethical concerns, responses from Open AI, and the impact of data theft on the AI industry are also explored.


Allegations and Drama

Discussion on the allegations and drama surrounding Deep Seek and the theft of technology by an Indian company, as well as the response from China.

Model Comparison

Comparison of ONA and R1 models, the controversy surrounding the use of stolen technology, and the implications on the economy.

Process of Distillation

Explanation of the distillation process in AI, including model training and data usage in Open AI.

Data Theft and Investigation

Discussion on data theft, AI models, and ongoing investigations into the alleged theft of technology.

Challenges in AI Architecture

Exploration of challenges in AI architecture, model training, and the implications of stolen data.

Ethical Concerns and Responses

Addressing ethical concerns, data theft accusations, and responses from open AI regarding the stolen data.

Discussion and Analysis

Analyzing the situation, ethical dilemmas, and the impact of data theft allegations in the AI industry.

Conclusion and Viewer Engagement

Summary of the content discussed, viewer opinions, and engagement with the audience regarding the video content.


FAQ

Q: What is the controversy surrounding Deep Seek and technology theft by an Indian company?

A: The controversy involves allegations of technology theft by an Indian company from Deep Seek, and the response from China.

Q: What is the difference between ONA and R1 models?

A: ONA and R1 models are compared in the discussion.

Q: Can you explain the distillation process in AI?

A: The distillation process in AI involves model training and data usage in Open AI.

Q: What are the challenges in AI architecture and model training discussed?

A: Challenges in AI architecture and model training are explored.

Q: How are ethical concerns and data theft accusations addressed?

A: Ethical concerns, data theft accusations, and responses from Open AI are discussed.

Q: What is the impact of data theft allegations in the AI industry?

A: The impact of data theft allegations on the AI industry is analyzed.

Q: What is the summary of the content discussed regarding the video content?

A: The summary includes viewer opinions and engagement with the audience on the video content.

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