Unverified60% confidenceFactExact time
On the MNIST dataset, a simple fully connected network can achieve over 98% accuracy, and a convolutional network can easily exceed 99.5%.
2
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60%
Confidence
Long-term
Relevance
8/7/2026
First Seen
Sources
Related Claims
UnverifiedOn the MNIST dataset, even a simple linear classifier can achieve approximately 92% accuracy.78% similarUnverifiedThe handwritten MLP model can achieve approximately 98.5% accuracy on the full MNIST training set.68% similarUnverifiedActivation patching experiments on entity tokens find that the success rate of such patching reaches 90% to 100% in the network's early layers, indicating that entity information is already available at early stages.64% similarUnverifiedEven if each node is 99% reliable, 30 nodes connected in series yield an overall success rate of only about 74% (availability declines following a multiplicative effect).64% similarUnverifiedWith network access in the sandbox completely cut off, Argon's front-end reconstruction accuracy was still close to 98%.60% similar
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