In the field of artificial intelligence (AI), a new battle is quietly unfolding. A Chinese startup named DeepSeek has emerged with astonishing speed, challenging the leadership of American tech giants in the AI field. This company not only claims that its technical capabilities are comparable to industry giants like OpenAI but also draws attention with its low-cost and high-performance operation mode. The emergence of DeepSeek is not just a competition of technology but also a game concerning the future world order. This article will delve into the advantages and disadvantages of DeepSeek, analyze its applications on Azure, and uncover the data disputes and security concerns behind it, giving you a glimpse into the rise of this AI rising star.

DeepSeek’s Technical Advantages and Breakthroughs

DeepSeek’s model, R1, is considered comparable to OpenAI’s GPT-3.5 turbo model in terms of performance, and even surpasses it in some aspects. This technological breakthrough directly challenges the leading position of American companies in the AI field. The rise of DeepSeek has broken the long-term monopoly of American tech companies in the AI field. Compared to the reliance of companies like OpenAI on massive computing resources, DeepSeek seems to be able to achieve similar or even superior performance at a lower cost. This cost advantage makes it highly competitive in the market and directly impacts the stock prices of American tech companies.

DeepSeek’s Data Controversy: Original Sin or Competitive Tactics?

However, DeepSeek’s rise has not been smooth sailing, and behind it are a series of ethical and legal disputes. Among them, the most notable is OpenAI’s accusation of data theft against DeepSeek. OpenAI claims that DeepSeek used “distillation” technology to extract data from ChatGPT’s GPT-3.5 turbo model and use it to train its own model. OpenAI believes that this behavior violates its terms of service and constitutes an infringement of intellectual property rights.

Microsoft also discovered that last fall someone used OpenAI’s application programming interface (API) to output a large amount of data, and suspected that it was related to DeepSeek. This further intensifies people’s doubts about the source of DeepSeek’s data. DeepSeek’s data theft accusation has raised widespread concern about the source of AI model training data. This not only challenges the existing intellectual property protection mechanism but also forces the industry to rethink the ethical boundaries of AI technology development.

Creator’s Counterattack: OpenAI’s Double Standards and Karma?

While OpenAI positions itself as the victim, many content creators disagree and instead harshly criticize OpenAI, believing that it holds “double standards” in the issue of AI training data. A group of people identifying themselves as “writers, artists, filmmakers, and creators” published an open letter in The Wall Street Journal, criticizing OpenAI for holding “double standards” in the issue of AI training data and sarcastically saying that OpenAI’s accusations were “laughable”. They pointed out that OpenAI has been extracting a large amount of copyrighted content from the Internet without authorization to train its AI models. These creators believe that the data theft accusation now faced by OpenAI is “karma.”

DeepSeek’s Security Vulnerabilities: Potential Risks

In addition to the data theft controversy, DeepSeek’s security vulnerabilities have also raised widespread concern. Researchers found that DeepSeek’s model failed to detect or prevent any prompts intended to trigger harmful content, indicating that there are serious flaws in its security protection measures. In security tests, researchers used 50 prompts intended to trigger harmful content, and DeepSeek’s model failed to detect or prevent any of them, showing a 100% success rate of attacks. DeepSeek’s security vulnerabilities highlight the serious security risks that AI technology may bring while developing rapidly. This not only poses a potential threat to individual users but may also be used for cyberattacks or malicious activities.

Application of DeepSeek R1 on Azure AI Foundry

Despite the data disputes and security concerns, DeepSeek R1 is still available on Azure AI Foundry. This shows Microsoft’s openness to technological innovation and its commitment to a diverse AI model ecosystem. DeepSeek R1 is now part of the model catalog on Azure AI Foundry, which includes over 1,800 models, including frontier, open-source, industry-specific, and task-based AI models.

Through Azure AI Foundry, businesses can use a trusted, scalable, and enterprise-ready platform to seamlessly integrate advanced AI technology while meeting service level agreements (SLAs), security, and responsible AI commitments. Azure AI Foundry aims to accelerate developers and businesses in using the most advanced intelligent technologies. DeepSeek R1 provides a powerful and cost-effective model that allows more users to use the most advanced AI capabilities with minimal infrastructure investment.

Developers can quickly experiment, iterate, and integrate AI into their workflows, using built-in model evaluation tools to compare outputs, benchmark performance, and scale AI applications.

Steps to Use DeepSeek R1 on Azure AI Foundry

The following are the steps to use DeepSeek R1 on Azure AI Foundry:

1. Sign up for an Azure Account: If you do not have an Azure subscription, you can sign up for an Azure account.
2. Search for DeepSeek R1: Search for DeepSeek R1 in the model catalog.
3. Open the Model Card: Open the model card in the model catalog on Azure AI Foundry.
4. Deploy the Model: Click “deploy” to obtain the inference API and key, and access the playground.
5. Obtain the API and Key: In a few minutes, you should be taken to the deployment page showing the API and key.
6. Try Prompts: You can try prompts in the playground.
7. Use the API and Key: You can use the API and key with various clients.

Azure AI Foundry’s Security Measures

Microsoft is committed to enabling customers to quickly build production-ready AI applications while maintaining the highest levels of security and safety. DeepSeek R1 has undergone rigorous red team testing and security evaluations, including automated assessments of model behavior and extensive security reviews to mitigate potential risks. Azure AI Content Safety provides built-in content filtering by default, with flexible opt-out options. In addition, the Safety Evaluation System allows customers to effectively test their applications before deployment.

DeepSeek’s Market Impact and Future Development

The rise of DeepSeek has caused a significant drop in the market value of American technology stocks, with chip manufacturer Nvidia losing as much as 593 billion USD, the largest drop in US stock market history. This shows that DeepSeek’s influence is not limited to the technical level but also extends to the global financial market. The emergence of DeepSeek shows that even American technology giants, who have a leading position in the field of artificial intelligence, are facing challenges from emerging competitors. A Chinese startup can provide technology comparable to OpenAI at a lower cost, which not only shakes the dominance of American technology but also forces American companies to re-evaluate their competitive strategies.

DeepSeek’s future development will be continuously shaped by technological innovation, ethics, security protection, and international competition. Whether DeepSeek can continue to innovate and launch more advanced AI technologies is the key to its ability to gain a foothold in the global AI market. How DeepSeek resolves data theft disputes and ensures the legality of its data sources will directly affect its image and development in the international market. Whether DeepSeek can effectively solve its security vulnerabilities and prevent the misuse of AI technology will affect the reliability of its products and the trust of users. How DeepSeek balances ethical considerations while developing technology will determine its long-term development in the AI field.

Conclusion: DeepSeek, a Combination of Challenges and Opportunities

The emergence of DeepSeek is not just a technological competition but also raises complex issues such as data usage, ethics, cybersecurity, and international competition. Despite facing challenges such as data theft accusations and security vulnerabilities, DeepSeek is still available on Azure AI Foundry, demonstrating Microsoft’s openness to technological innovation. DeepSeek’s future development is full of uncertainties, but its rise has had a profound impact on the global AI industry. For developers and businesses, DeepSeek provides new choices and possibilities, but they also need to carefully evaluate the related controversies and risks. This AI battle has just begun.

Overall, DeepSeek is a controversial but undeniable AI rising star. Its technological breakthroughs and market influence deserve our continued attention.