Closed AI Models Make Bad Baselines (via) The NLP academic research community are facing a tough challenge: the state-of-the-art in large language models, GPT-4, is entirely closed which means papers that compare it to other models lack replicability and credibility. “We make the case that as far as research and scientific publications are concerned, the “closed” models (as defined below) cannot be meaningfully studied, and they should not become a “universal baseline”, the way BERT was for some time widely considered to be.”
Anna Rogers proposes a new rule for this kind of research: “That which is not open and reasonably reproducible cannot be considered a requisite baseline.”
Recent articles
- Claude Skills are awesome, maybe a bigger deal than MCP - 16th October 2025
- NVIDIA DGX Spark: great hardware, early days for the ecosystem - 14th October 2025
- Claude can write complete Datasette plugins now - 8th October 2025