OpenAI's DEATH BLOW to Open Source

OpenAI has shared principles for governing AI and highlighted the importance of protecting model weights and AI infrastructure security measures. Their emphasis on security and regulatory standards could impact open-source AI development while advocating for ethical AI practices and responsible deployment of AI technology.

OpenAI has recently released information outlining the principles they believe should govern AI technology. There are rumors circulating that OpenAI may have achieved AGI (Artificial General Intelligence) internally, though these are unconfirmed. The company is preparing to release more AI models and has posted comprehensive statements on how they believe AI should be regulated in the future. However, some of these principles do not bode well for open source practices in AI development. OpenAI highlights the importance of protecting model weights, which are crucial components of AI algorithms, training data sets, and computing resources. They discuss potential threats to model weights, such as attacks on APIs and potential leaks of model weights to external parties.

To address the issue of protecting model weights, OpenAI suggests six security measures for advanced AI infrastructure. One key proposal involves implementing trusted computing for AI accelerators, such as GPUs, to ensure the authenticity and integrity of model weights. They propose encrypting model weights until they are loaded onto the GPU, allowing for secure processing of AI models. OpenAI also discusses the concept of cryptographic identity for GPUs, enabling decryption only by authorized parties, thereby enhancing control over AI hardware and software. These measures may limit access to advanced AI models, potentially affecting open-source AI development.

Furthermore, OpenAI explores additional security measures, including network and tenant isolation guarantees, creating an “air gap” to separate AI systems from external networks, and enhancing physical security for data centers. These measures aim to safeguard AI technology against threats, such as espionage and data breaches. OpenAI emphasizes the need for investments in both hardware and software to enable the scale and performance required for large language models and various AI use cases. They also anticipate the development of AI-specific security and regulatory standards to enhance cybersecurity defenses and promote responsible AI development.

Additionally, OpenAI advocates for ethical AI practices, such as assuming the best intentions from users and developers and avoiding attempts to influence or manipulate users’ decisions. They emphasize the importance of informative AI interactions without pushing particular agendas. OpenAI’s recommendations for AI model development prioritize transparency, security, and ethical considerations to ensure the responsible deployment of AI technology. The company’s stance on AI regulation and security measures may have implications for the future of open-source AI development and the broader AI industry.