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Pac-Man

A classic arcade game in which the player controls a character that eats pellets in a maze while avoiding ghosts.

Timeline (last 90 days)

Nov 6

In experiment 1, the researchers built a multilayer perceptron with 500 inputs and 5 outputs, trained on four games—Breakout, Pong, Pac-Man, and Freeway—and the LLM, relying solely on the network architecture and raw weights (no tools, no network access), correctly identified all of the corresponding games.

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Nov 4

In experiment 1, Astra was given only the raw weights of four game networks (Breakout, Pong, Pac-Man, Freeway) with no hint of which games they were, and correctly named all of them.

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Nov 4

In the MIT experiment, four tiny policy networks played grid-simplified versions of Breakout, Pong, Pac-Man and Freeway respectively; each network had 17,253 weights, and Astra got all four right, with confidence between 96% and 99%.

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Nov 4

In the game-identification experiment, Astra correctly identified all four small networks (Breakout, Pong, Pac-Man, Freeway) using only the raw weight-number text of each.

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Nov 4

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.

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