RULER: How far can your AI actually read?
Meet RULER, a fresh test that checks if language AIs can find a fact hidden in very long text, like a needle in a haystack.
The test asks more than simple searching — it also makes models trace steps and add up bits of information, a skill called multi-hop tracing.
We tried 17 models on 13 tasks and saw something surprising: many models that claim big context size slow down or fail when text grows.
Some say they handle 32K words, but most don't keep steady accuracy as inputs get longer.
One model that supports much more still has lots of room to improve when tasks get harder, or when text gets really long.
RULER is shared so everyone can check how well models read and think across long pages.
Try it, you'll see if your favorite AI can actually hold a long story in memory or just skim the surface, because real reading needs more than finding a single fact, it needs following threads across many lines.
Read article comprehensive review in Paperium.net:
RULER: What's the Real Context Size of Your Long-Context Language Models?
🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.
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