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Upload Labs - AGIコア

2025/11/08に公開
 AGIコアAGIコアには各ファイルのサイズに比例した数のニューロンを入力する必要がある。

ゲーム内では「入力された1番低いニューロン数に基づきAIパワーを出力する」としか説明されていないが、単純なニューロン数ではないので注意。
AIトレーナーの前段にディスティレーターを入れると生成されるニューロン数が2倍になる。

エンハンサーも同じ効果がある。エンハンサー3段なら8倍。ディスティレーターも通せば16倍。

エンハンサーはファイルサイズが増えるので、ディスティレーターを先に通した方がCPU使用量が少ない。

 基本一番簡単なのは、ダウンロード速度を各ファイルで6等分してダウンロード・入力する。

これでジャストな比率のニューロン数になる。

回路データ (コピーしてゲームに貼り付け可能)[schematic]

windows={
"agi00": {
"container_data": {
"PanelContainer/MainContainer/AI": {
"id": "6ddcd8958d19",
"outputs_id": Array[String](["d74dd74cc20b", "18ea14901c47", "53beb09d2564"])
},
"PanelContainer/MainContainer/GameNeuron": {
"id": "6cc3a4a1f000",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/ImageNeuron": {
"id": "f4c91f972b09",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/ProgramNeuron": {
"id": "8651e3d5db37",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/SoundNeuron": {
"id": "030f272ec7bc",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/TextNeuron": {
"id": "0b087e2b9000",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/VideoNeuron": {
"id": "d6cba0c4eb68",
"outputs_id": Array[String]([])
}
},
"filename": "window_agi.tscn",
"position": Vector2(2800, -50),
"window": "agi"
},
"code00": {
"container_data": {
"PanelContainer/MainContainer/AI": {
"id": "53beb09d2564",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Boost": {
"id": "c0dc886bbb61",
"outputs_id": Array[String]([])
}
},
"filename": "window_boost_code.tscn",
"position": Vector2(2850, 950),
"window": "code"
},
"distillator100": {
"container_data": {
"PanelContainer/MainContainer/Clock": {
"id": "6fb603701947",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/File": {
"id": "59f79d302c99",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Output": {
"id": "d5b9a1a8038b",
"outputs_id": Array[String](["1d5402f1698b"])
}
},
"filename": "window_distillator.tscn",
"position": Vector2(2000, -800),
"window": "distillator"
},
"distillator1000": {
"container_data": {
"PanelContainer/MainContainer/Clock": {
"id": "c3c57cf2ae02",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/File": {
"id": "0b279e4979c9",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Output": {
"id": "7545db1fea54",
"outputs_id": Array[String](["83733e5b3bee"])
}
},
"filename": "window_distillator.tscn",
"position": Vector2(2000, -450),
"window": "distillator"
},
"distillator1001": {
"container_data": {
"PanelContainer/MainContainer/Clock": {
"id": "fa027deb26fd",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/File": {
"id": "7c840a430709",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Output": {
"id": "74cff30629d4",
"outputs_id": Array[String](["2124fce8f0e7"])
}
},
"filename": "window_distillator.tscn",
"position": Vector2(2000, -100),
"window": "distillator"
},
"distillator1002": {
"container_data": {
"PanelContainer/MainContainer/Clock": {
"id": "831fe3d7ffa0",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/File": {
"id": "94a6593f0234",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Output": {
"id": "41a2c5bc037d",
"outputs_id": Array[String](["db334962c283"])
}
},
"filename": "window_distillator.tscn",
"position": Vector2(2000, 250),
"window": "distillator"
},
"distillator1003": {
"container_data": {
"PanelContainer/MainContainer/Clock": {
"id": "058872d37484",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/File": {
"id": "93e05fcee616",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Output": {
"id": "5a4bfb217998",
"outputs_id": Array[String](["b51d8f69c6fc"])
}
},
"filename": "window_distillator.tscn",
"position": Vector2(2000, 600),
"window": "distillator"
},
"distillator1004": {
"container_data": {
"PanelContainer/MainContainer/Clock": {
"id": "24ce10970eb0",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/File": {
"id": "80a9483b7582",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Output": {
"id": "cefee55aa67e",
"outputs_id": Array[String](["c593ce440cd7"])
}
},
"filename": "window_distillator.tscn",
"position": Vector2(2000, 950),
"window": "distillator"
},
"download_game10": {
"container_data": {
"PanelContainer/MainContainer/Download": {
"id": "e6805a1bd7d9",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/File": {
"id": "736a9d61c785",
"outputs_id": Array[String](["80a9483b7582"])
}
},
"filename": "window_download_game.tscn",
"position": Vector2(1600, 950),
"window": "download_game"
},
"download_image00": {
"container_data": {
"PanelContainer/MainContainer/Download": {
"id": "43e99ced161d",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/File": {
"id": "2a0aec489a9e",
"outputs_id": Array[String](["0b279e4979c9"])
}
},
"filename": "window_download_image.tscn",
"position": Vector2(1600, -450),
"window": "download_image"
},
"download_merger3": {
"container_data": {
"PanelContainer/MainContainer/Input/0": {
"id": "4778ad0d2ee4",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Input/1": {
"id": "7976bee62759",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Input/2": {
"id": "d3b952f5a07b",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Input/3": {
"id": "1f2723d2fdb2",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Input/4": {
"id": "3b3b04ce2b84",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Output": {
"id": "c78e70a8651e",
"outputs_id": Array[String](["04b6574931e2", "43e99ced161d", "db64fb155d1a", "c87035f0ce24", "7c6025e428c1", "e6805a1bd7d9"])
}
},
"filename": "window_download_merger.tscn",
"position": Vector2(1200, -1100),
"window": "download_merger"
},
"download_program00": {
"container_data": {
"PanelContainer/MainContainer/Download": {
"id": "7c6025e428c1",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/File": {
"id": "ac7abb5d1ff0",
"outputs_id": Array[String](["93e05fcee616"])
}
},
"filename": "window_download_program.tscn",
"position": Vector2(1600, 600),
"window": "download_program"
},
"download_sound00": {
"container_data": {
"PanelContainer/MainContainer/Download": {
"id": "db64fb155d1a",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/File": {
"id": "281547e183b2",
"outputs_id": Array[String](["7c840a430709"])
}
},
"filename": "window_download_sound.tscn",
"position": Vector2(1600, -100),
"window": "download_sound"
},
"download_text00": {
"container_data": {
"PanelContainer/MainContainer/Download": {
"id": "04b6574931e2",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/File": {
"id": "5d05f06c264f",
"outputs_id": Array[String](["59f79d302c99"])
}
},
"filename": "window_download_text.tscn",
"position": Vector2(1600, -800),
"window": "download_text"
},
"download_video00": {
"container_data": {
"PanelContainer/MainContainer/Download": {
"id": "c87035f0ce24",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/File": {
"id": "4df876068db7",
"outputs_id": Array[String](["94a6593f0234"])
}
},
"filename": "window_download_video.tscn",
"position": Vector2(1600, 250),
"window": "download_video"
},
"gpu_synchronizer0": {
"container_data": {
"PanelContainer/MainContainer/Input/0": {
"id": "488e1bff7b95",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Input/1": {
"id": "44f6bc31de67",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Input/2": {
"id": "5cd2ad9cfbbf",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Input/3": {
"id": "c31274a1873d",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Input/4": {
"id": "ab09b5bb9c3f",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Output": {
"id": "bde0a14738c2",
"outputs_id": Array[String](["ebe5452f56ea", "384000a9cff5", "31fba319d14a", "bf3c344d162a", "77e18d3c2d5d", "04cbd246ada1"])
}
},
"filename": "window_gpu_synchronizer.tscn",
"position": Vector2(2000, -1100),
"window": "gpu_synchronizer"
},
"hack00": {
"container_data": {
"PanelContainer/MainContainer/AI": {
"id": "18ea14901c47",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Boost": {
"id": "528d19cdeeaf",
"outputs_id": Array[String]([])
}
},
"filename": "window_boost_hack.tscn",
"position": Vector2(2850, 750),
"window": "hack"
},
"research00": {
"container_data": {
"PanelContainer/MainContainer/AI": {
"id": "d74dd74cc20b",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Boost": {
"id": "4f78ff1671ad",
"outputs_id": Array[String]([])
}
},
"filename": "window_boost_research.tscn",
"position": Vector2(2850, 550),
"window": "research"
},
"synchronizer60": {
"container_data": {
"PanelContainer/MainContainer/Input/0": {
"id": "12dc631b9ace",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Input/1": {
"id": "2a4a0dc7a01c",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Input/2": {
"id": "98044ad6047c",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Input/3": {
"id": "e805c0149164",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Input/4": {
"id": "d3adaa4feb06",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Output": {
"id": "b50869749d8d",
"outputs_id": Array[String](["6fb603701947", "c3c57cf2ae02", "fa027deb26fd", "831fe3d7ffa0", "058872d37484", "24ce10970eb0"])
}
},
"filename": "window_synchronizer.tscn",
"position": Vector2(1600, -1100),
"window": "synchronizer"
},
"trainer00": {
"container_data": {
"PanelContainer/MainContainer/File": {
"id": "1d5402f1698b",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/GPU": {
"id": "ebe5452f56ea",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Neurons": {
"id": "dd132ff85561",
"outputs_id": Array[String](["0b087e2b9000"])
}
},
"filename": "window_trainer.tscn",
"position": Vector2(2400, -800),
"window": "trainer"
},
"trainer10": {
"container_data": {
"PanelContainer/MainContainer/File": {
"id": "83733e5b3bee",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/GPU": {
"id": "384000a9cff5",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Neurons": {
"id": "65b7f79098c0",
"outputs_id": Array[String](["f4c91f972b09"])
}
},
"filename": "window_trainer.tscn",
"position": Vector2(2400, -450),
"window": "trainer"
},
"trainer20": {
"container_data": {
"PanelContainer/MainContainer/File": {
"id": "2124fce8f0e7",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/GPU": {
"id": "31fba319d14a",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Neurons": {
"id": "18c899de95fa",
"outputs_id": Array[String](["030f272ec7bc"])
}
},
"filename": "window_trainer.tscn",
"position": Vector2(2400, -100),
"window": "trainer"
},
"trainer40": {
"container_data": {
"PanelContainer/MainContainer/File": {
"id": "c593ce440cd7",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/GPU": {
"id": "04cbd246ada1",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Neurons": {
"id": "1f4dd242db52",
"outputs_id": Array[String](["6cc3a4a1f000"])
}
},
"filename": "window_trainer.tscn",
"position": Vector2(2400, 950),
"window": "trainer"
},
"trainer50": {
"container_data": {
"PanelContainer/MainContainer/File": {
"id": "db334962c283",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/GPU": {
"id": "bf3c344d162a",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Neurons": {
"id": "dd8e0187db0d",
"outputs_id": Array[String](["d6cba0c4eb68"])
}
},
"filename": "window_trainer.tscn",
"position": Vector2(2400, 250),
"window": "trainer"
},
"trainer60": {
"container_data": {
"PanelContainer/MainContainer/File": {
"id": "b51d8f69c6fc",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/GPU": {
"id": "77e18d3c2d5d",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Neurons": {
"id": "c651af1b7339",
"outputs_id": Array[String](["8651e3d5db37"])
}
},
"filename": "window_trainer.tscn",
"position": Vector2(2400, 600),
"window": "trainer"
}
}
connectors={
"030f272ec7bc": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"04b6574931e2": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"04cbd246ada1": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"058872d37484": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"0b087e2b9000": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"0b279e4979c9": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"12dc631b9ace": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"18ea14901c47": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"1d5402f1698b": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"2124fce8f0e7": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"24ce10970eb0": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"31fba319d14a": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"384000a9cff5": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"43e99ced161d": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"4778ad0d2ee4": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"488e1bff7b95": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"53beb09d2564": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"59f79d302c99": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"6cc3a4a1f000": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"6fb603701947": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"77e18d3c2d5d": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"7c6025e428c1": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"7c840a430709": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"80a9483b7582": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"831fe3d7ffa0": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"83733e5b3bee": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"8651e3d5db37": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"93e05fcee616": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"94a6593f0234": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"b51d8f69c6fc": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"bf3c344d162a": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"c3c57cf2ae02": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"c593ce440cd7": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"c87035f0ce24": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"d6cba0c4eb68": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"d74dd74cc20b": {
"has_pivot": false,
"pivot_pos": Vector2(-50, 174.5)
},
"db334962c283": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"db64fb155d1a": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"e6805a1bd7d9": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"ebe5452f56ea": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"f4c91f972b09": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
},
"fa027deb26fd": {
"has_pivot": false,
"pivot_pos": Vector2(0, 0)
}
}
rect=Rect2(1200, -1100, 1600, 2371)

 アプリケーションノードを活用基本構成だとネットワークがボトルネックになる。

アプリケーションポイントで解放できるノードを使うと、CPUを使う代わりにネットワーク帯域を節約できる。

ゲームのみをダウンロードし、それを分解して全種類のファイルを生成するようにする。
下図ではゲームを1:2に分割し、1を直接AIトレイナーに、2を他のファイルの生成に回している。

ダウンロード速度の1/3がゲームニューロンの生成に回っているので、基本構成の2倍速で育成できる。
ファイルを分解してもディスティレーター・エンハンサーの効果は引き継がれる。

ゲームにディスティレーター・エンハンサーをかけてから分解することで、ファイル種類ごとにそれらの処理をしなくてよく、ノード数も節約できる。
なお、この構成だとデコンパイラの出力のテキストが半分余ってるのでまだ最適化の余地がありそう。
回路データ (コピーしてゲームに貼り付け可能)[schematic]

windows={
"agi00": {
"container_data": {
"PanelContainer/MainContainer/AI": {
"id": "6ddcd8958d19",
"outputs_id": Array[String](["d74dd74cc20b", "18ea14901c47", "53beb09d2564"])
},
"PanelContainer/MainContainer/GameNeuron": {
"id": "6cc3a4a1f000",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/ImageNeuron": {
"id": "f4c91f972b09",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/ProgramNeuron": {
"id": "8651e3d5db37",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/SoundNeuron": {
"id": "030f272ec7bc",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/TextNeuron": {
"id": "0b087e2b9000",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/VideoNeuron": {
"id": "d6cba0c4eb68",
"outputs_id": Array[String]([])
}
},
"filename": "window_agi.tscn",
"position": Vector2(2800, -50),
"window": "agi"
},
"code00": {
"container_data": {
"PanelContainer/MainContainer/AI": {
"id": "53beb09d2564",
"outputs_id": Array[String]([])
},
"PanelContainer/MainContainer/Boost": {
"id": "c0dc886bbb61",
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rect=Rect2(-50, -1100, 2850, 2519)

 [追記] 改良版Twitter(現X)でテキストが余らない構成を教えていただきました！感謝です。

10%程度生産量が上がるようです。
https://x.com/otsune/status/1987162309165457512
回路データ (コピーしてゲームに貼り付け可能)[schematic]

windows={
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}
},
"filename": "window_decompiler.tscn",
"position": Vector2(2000, -800),
"window": "decompiler"
},
"decomposer0": {
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},
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"outputs_id": Array[String](["83733e5b3bee"])
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},
"filename": "window_decomposer.tscn",
"position": Vector2(2000, -450),
"window": "decomposer"
},
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"filename": "window_demuxer.tscn",
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"filename": "window_distillator.tscn",
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