Attention is all you need to bankrupt a university
3 days ago
- #AI Impact
- #Higher Education
- #Federal Funding
- The 2017 paper 'Attention Is All You Need' introduced the transformer architecture, which is now foundational for large language models (LLMs).
- American universities adopted a similar 'four-step operation' in social sciences, focusing on demographic categories and learned patterns.
- Post-Cold War, federal funding shifted towards research with broader societal impacts, favoring scalable demographic frameworks.
- Universities expanded programs in social sciences, leveraging scalable content to attract funding and students.
- The replication crisis in social sciences highlighted issues with scalable research, yet the infrastructure persisted due to financial incentives.
- Federal funding cuts in 2025 targeted research based on demographic categories, undermining universities' revenue streams.
- AI, particularly LLMs, demonstrated the ability to replicate social science research, further threatening the need for human-generated analysis.
- The university system's reliance on scalable, portable frameworks led to its own obsolescence as AI and funding cuts converged.