tech
Russia Wants AI Sovereignty. It Has a Chip Problem
In early April, on a stage in the southwestern outskirts of Moscow, a moderator at Russia’s annual Data Fusion conference wanted to know: what is the most important thing for Russia to get right in its quest to develop an AI ecosystem?
TL;DR
- Russia is making a concerted effort to develop domestic AI talent through new university faculties and emphasis in national curricula.
- Vladimir Putin's daughter, Katerina Tikhonova, heads a new AI institute at Moscow State University, part of a broader AI ecosystem initiative.
- The war in Ukraine has highlighted the importance of AI and data infrastructure, leading to a push for AI development with potential military applications.
- Russia's primary weakness in AI development is its scarce access to indispensable hardware due to limited domestic production and sanctions.
- The country aims for AI sovereignty, meaning AI models developed by domestic researchers on domestic hardware, free from external interference.
- Russia has relied on gray-market American chips, but potential crackdowns and US legislation may throttle this supply.
- Historically stronger in software than hardware, Russia's AI initiatives focus on software development, neglecting training for electronic engineers needed for hardware.
- Russia hopes China can be a supplier, but China has its own AI chip demands and may not prioritize Russia.
- Restrictions on access to powerful supercomputers and demands for AI models to respect 'Russian spiritual and moral values' could hinder progress.