Prediction: A Frontier open-source LLM Will Be Released On 3rd December 2026
An analysis of performance benchmarks suggests that the gap between open-source and closed-source Large Language Models is shrinking rapidly. Projections indicate that open-source models may reach parity with frontier closed-source models by December 2026.
Why it matters
The democratization of high-end AI capabilities could fundamentally shift the competitive landscape of the technology industry and national security.
I have seen a version of the above plot going around Twitter and wanted to dig a bit deeper into it. What the plot above is showing is the gap between open weights LLMs and closed source LLMs. We measure this gap by looking at the frontier of performance of open weights LLMs on a benchmark and then looking back into the past how long ago was the closed source frontier at that level. It is a measure of how long it took for open source models to catch up to the new capabilities reached by the closed source model frontier. This benchmark is the Artificial Analysis Intelligence Index - their headline index that tries to assess the overall capabilities of models. In general it correlates quite well with the ‘vibe’ people seem to get from models.
The article relies on data-driven projections and benchmark analysis rather than ideological framing.
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