Silicon Atlas(@Silicon_Atlas):In my Jev article, I argued that a cheap decision is only the start. An agent still has to process or reuse context, turn each choice into an action, and handle failures. This Pokémon experiment makes that system-level work visible. Jev made 16,150 choices for about $1.65 in Jev calls, while separate software read the game state, found paths, and kept the run moving. It is a game demo, not a hardware benchmark. But it is a useful picture of the question: what does the whole loop cost?

Silicon Atlas

@Silicon_Atlas

Evidence-first AI semiconductor analysis: what new silicon claims prove, where bottlenecks move, and whether gains survive at system and economic scale.

Joined March 2021

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Silicon Atlas@Silicon_Atlas

2026.10.03 00:15

In my Jev article, I argued that a cheap decision is only the start. An agent still has to process or reuse context, turn each choice into an action, and handle failures. This Pokémon experiment makes that system-level work visible. Jev made 16,150 choices for about $1.65 in Jev calls, while separate software read the game state, found paths, and kept the run moving. It is a game demo, not a hardware benchmark. But it is a useful picture of the question: what does the whole loop cost?