How much further ahead is the gap between what we have versus the labs have internally?
Summary
探讨 OpenAI、Anthropic 等前沿实验室内部模型与公开发布模型之间可能存在的能力差距,并质疑研究人员关于内部模型远超公开版本的说法是否属实。
Similar Articles
How far behind are open models? (17 minute read)
An analysis from LessWrong examining the performance gap between open-source and proprietary AI models.
@MTSlive: SITUATION DETECTED: David Sacks says that the models OpenAI and Anthropic have internally are about two generations ahe…
David Sacks claims that OpenAI and Anthropic have internal AI models that are about two generations ahead of competitors.
An OpenAI Researcher on the Gap Between Internal and External Perceptions of AI Progress
The article explores the difference between internal and external views on AI progress, emphasizing the role of scaling laws and capability jumps in shaping perceptions of future advancements.
@VraserX: I’m increasingly convinced OpenAI is ~6 months ahead of Anthropic internally. The mistake people make is comparing what…
A commentary arguing OpenAI is likely ~6 months ahead of Anthropic internally, deliberately withholding its frontier models and releasing only what it's comfortable showing to preserve its compute and strategic advantage.
The gap between closed and open models might be much smaller than commonly assumed, because we don’t know what closed model providers do *in addition to* model inference
The article argues that comparing closed and open AI models may be unfair because closed model providers like Anthropic can supplement their model output with techniques such as RAG, prompt preprocessing, or hidden expert models, making benchmark comparisons apples-to-oranges.