Mozilla's CTO Raffi Krikorian argues that AI development should follow the internet's decentralized model. Companies are increasingly adopting open AI models they can customize, diverging from reliance on proprietary systems like ChatGPT and Claude.
Raffi Krikorian, Chief Technology Officer at Mozilla, advocates for a fundamental shift in how artificial intelligence is developed and deployed. Rather than concentrating AI power in proprietary systems controlled by a handful of companies, Krikorian envisions an architecture mirroring the internet's distributed design.
The current AI landscape shows a clear divide. Consumers gravitate toward closed-source applications like OpenAI's ChatGPT and Anthropic's Claude, which offer polished interfaces and powerful capabilities. However, enterprises are moving in a different direction.
Companies increasingly choose open-source AI models they can run on their own infrastructure. This approach grants organizations greater control over their systems, allowing customization to specific business needs and data requirements. Unlike proprietary platforms, open models eliminate vendor lock-in and reduce dependency on external providers' pricing decisions and service availability.
Krikorian's comparison to the internet's architecture highlights a critical distinction. The early web succeeded through open standards and distributed infrastructure, enabling widespread innovation and preventing monopolistic control. Applying this principle to AI would democratize access and foster competition among developers.
The shift toward open models addresses practical concerns beyond control. Organizations handling sensitive data prefer keeping AI processing in-house rather than uploading information to third-party services. Customizable models enable businesses to fine-tune performance for their specific applications without relying on generic, one-size-fits-all solutions.
Mozilla itself has invested in this vision, supporting open-source AI initiatives and promoting browser-based AI capabilities. The foundation's push reflects broader industry momentum, with companies like Meta releasing open models and others building deployment infrastructure for decentralized AI.
Krikorian's perspective represents growing recognition that AI's long-term health depends on preventing concentration of power. While proprietary models dominate consumer attention, the enterprise shift toward open alternatives suggests the AI ecosystem is evolving toward the distributed model Krikorian advocates—one more resilient, competitive, and accessible than today's closed environment.
Anthropic's Fable 5, the most powerful AI model available, accounts for only 6% of the company's tokens sold to U.S. firms. The sluggish adoption suggests corporate budgets for frontier AI have plateaued.
Chinese AI developer DeepSeek released V4-Pro, its most advanced model to date, matching Kimi K3 performance on some benchmarks while charging significantly lower prices at $0.44 per million input tokens and $0.87 per million output tokens.
Researchers from major AI labs predicted milestones for automated AI development, but several have already arrived—faster than expected. An IAPS fellow's new analysis reveals the gap between predictions and reality.
Anthropic investors expect the AI startup to go public at a $2 trillion-plus valuation this October, potentially surpassing SpaceX as one of the most valuable private companies ever taken public. The company is projected to generate $100-120 billion in annualized revenue by end of 2026.