Open models in perpetual catch-up

1. 1Monitor the performance of open and closed models over time
2. 2Analyze the factors contributing to the gap between open and closed models, such as compute resources and data quality
3. 3Consider the limitations of benchmarks in capturing the frontier of AI progress
4. 4Evaluate the potential for open models to accelerate innovation and reduce costs

AI researchers and developers can benefit from understanding the dynamics between open and closed models, as it informs their strategy for model development and selection

💡 The gap between open and closed models is holding steady, with open models staying closer to the best closed models than expected

🤖 Open models keep pace with closed models in AI, despite resource differences #AI #OpenModels