Open (For Business): Big Tech, Concentrated Power, and the Political Economy of Open AI

Open (For Business): Big Tech, Concentrated Power, and the Political Economy of Open AI

In the realm of artificial intelligence (AI), the concept of "open" AI has gained significant attention. Open AI refers to the idea of making AI models transparent, reusable, and extensible for third parties to deploy and build upon. It holds the potential to democratize access to powerful AI models and promote competition in the field. However, it is crucial to recognize that even the most open forms of AI do not guarantee democratic access or solve the challenges of oversight and scrutiny.

One company that has made significant strides in the field of AI is AI21 Labs. Recently, the company secured a $64 million investment to scale up its AI-powered language services. AI21 Labs has developed the Jurassic-X model, an advanced version of its Jurassic-1 model. What sets Jurassic-X apart is its "modular reasoning knowledge system" that enhances its answers with discrete reasoning experts like online calculators and currency converters. This unique approach allows Jurassic-X to tackle nontrivial math operations and simplify complex questions that other language models might struggle with.

The development of AI models like Jurassic-X comes at a considerable cost. AI21 Labs estimates that creating a text-generating model with 1.5 billion parameters can amount to as much as $1.6 million. However, their Jurassic-1 Jumbo model goes even further, boasting a staggering 178 billion parameters. These models represent the cutting edge of AI technology, but they also highlight the concentrated power held by big tech companies in the AI sector.

The concentration of power in big tech companies raises concerns about competition and access. While open AI models like Jurassic-X offer opportunities for third-party developers, they still rely heavily on the resources and expertise of a few dominant players. This concentration of power can stifle innovation and limit the participation of smaller players in the AI landscape. It is crucial to strike a balance between open AI and promoting a diverse and competitive AI ecosystem.

To address these challenges and ensure a more equitable AI landscape, there are several actionable steps that can be taken:

1. Foster Collaboration: Encourage collaboration between big tech companies and smaller players in the AI field. This can be done through partnerships, joint research projects, and knowledge sharing initiatives. By fostering collaboration, we can leverage the strengths of different players and promote a more diverse and competitive AI ecosystem.

2. Invest in Research and Development: Governments and organizations should allocate resources to support research and development in AI. By investing in R&D, we can drive innovation, discover new approaches to AI, and reduce the barriers to entry for smaller players. This investment should not only focus on open AI models but also on developing alternative models and frameworks that promote competition and diversity.

3. Implement Regulatory Frameworks: To ensure oversight and scrutiny in the AI sector, regulatory frameworks need to be put in place. These frameworks should address issues such as data privacy, algorithmic transparency, and ethical considerations. By implementing regulations, we can create a level playing field, prevent the abuse of AI technology, and protect the interests of consumers and society at large.

In conclusion, the concept of open AI holds promise in democratizing access to powerful AI models and promoting competition. However, it is essential to recognize that openness alone is not enough to address the challenges of concentration of power and oversight in the AI sector. By fostering collaboration, investing in research and development, and implementing regulatory frameworks, we can strive towards a more equitable and diverse AI landscape. It is crucial to navigate the complexities of open AI and the political economy surrounding it to ensure a brighter future for AI technology.