Unverified50% confidenceEventExact time
A Reddit developer encoded the weights of a 17,253-parameter neural network as a sequence of plain-text tokens and fed them into a language model, which determined that the network was used to play Pac-Man.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
11/4/2026
First Seen
Valid until: 11/18/2026
Sources
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Related Claims
UnverifiedA small-scale reproduction shared by a developer on Reddit used only human-written COCO captions, training an 11-million-parameter text encoder on a laptop, and the results still supported the original conclusion (good views outperform next-token prediction).75% similarUnverifiedA developer on Reddit trained a 1.3 billion parameter large language model entirely from scratch68% similarUnverifiedThe authors used a byte-level neural network sandhi splitter and lemmatizer for preprocessing, then trained word vectors separately for each period.68% similarUnverifiedProbing experiments show that both the script of the input text and the output script required by the instructions are already encoded in the earliest layers of the network.65% similarVerifiedTONGYI Lingma's underlying layer relies on the code understanding and generation capabilities of the Tongyi Qianwen series of large language models.65% similar
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