OPEN SOURCE AI – Article Review
The article challenges the notion of “open source” AI and argues that despite the appearance of openness, big tech companies like Meta still maintain control over these tools. It specifically focuses on Meta’s AI model, Llama 2, which was initially seen as a step towards openness but is still controlled by the company in various ways. While users can download and modify Llama 2, they do not have full control over its inner workings and algorithms.
The article highlights that big tech companies have significant influence over the development and use of open source AI tools. They can shape research and development and prioritize certain applications over others. The popularity of models like Llama 2 does not necessarily lead to true openness and democratization of AI, but rather reinforces the dominance of big tech companies and their control over AI technologies.
The article raises important questions about the accessibility and democratization of AI, and suggests that regulations should consider the myth of openness. Making AI more open could unlock its best potential and mitigate risks, rather than guarding the workings of powerful AI models. The article emphasizes the need for meaningful alternatives to technology dominated by large corporations, especially as AI is integrated into sensitive domains.
However, the challenges of open source AI extend beyond the control of big tech companies. The article points out that open-source licenses, which have been the foundation of the open-source movement, are not well-suited for AI. Copyright law-based licenses do not align with the nature of AI and the complexities of its development and deployment.
This issue has already manifested in legal disputes. In a recent class action lawsuit, plaintiffs alleged that Microsoft, Google, and Amazon violated open-source licenses through their commercial AI systems. The code generated by AI often consists of strings of code scraped from public GitHub repositories without the required open-source license attributions.
The surge of generative AI presents both opportunities and challenges for the engineering realm. While it has the potential to revolutionize various industries, it also requires careful consideration of its impact on roles, business strategies, data, solutions, and product development.
In conclusion, the article challenges the myth of “open source” AI and calls for a critical examination of power dynamics in the AI industry. It argues that despite the availability of tools like Llama 2, big tech companies still maintain control and influence over these technologies. The article raises important questions about the accessibility and democratization of AI.
References – , https://buff.ly/3ZPkpva ,
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