AI self awareness explanation
This document is encrypted
Decrypting…
{"salt": "hN0Ddt7w-WgOxg2zwWkVE_wMs_kss9R2-XA2calQV1Q=", "iv": "mGRM2Ul_hOvZC2rh", "ct": "OEGo-YRBWpnPly4jzh9xvdRj_iaIujha9t_IWgEdiRXlpuNGcAuO3AiTbtegigB76gweFwOH5DWgNBXTClRCZz1CBq8st7GdQrXs_YOhqb0m58DINC0Yc8a46Jm_ZWtL02hQqB7daLLKpuBf4rTbK6vnDlbgShTmDfz-t5jcqy8XA4EKblbdqS2Kccnr8kjDxaoMhMHBieIMLGjt5yUmBkcNmSEMkPTLKLOXfvRPCal3qOtMrUhnP1Da1otYbhA-Iyu2W35W20lYf28dzr9pVAcPhUfYhyBo-lvkDQJ1MS-iVzIzPWsMmv2QYt-fT2U1JKGyGvi0qjW9sR-7I_FtlDAZL-ryAhgUKmHAq8Hfz9nJw0uCPafIJ-wNFM305gYZRTjCYowdlAhtHEbsw1DFyfHw8FgCXzsTpSVzV3g0x8V2gSAagwenvNx2I5RYi1oxNjbaB-3mmL6slTBAt_HK78NJPI_wwvhpNgWXEHL7Ir8-y8ll4kNQu5u4pVmzAUNmBWXTq7BPneJVd_uLJTcOKa-4Ah_vbBJBQvyxLuoJpPuJmF1bsR9lVRV5-Iw4K5VMGRk0hV4WQ6m18VkGyyK5zyyylabgCqLN9Tqwwj_nK4RH4RHln8TMOV5-P1CCUSyh5snKMvdXh53i9wHN7DY77yTruDUkJwrWprHgghwSRTNJtnvh1H8GZEOvzsRBBsevwuUMvxjSyMpPpGTkglWeLcdxES6L3_qydpBTWFDxNPFwg2MExl-OWVBOD4BSQvrs9pD95bS-PoDPg4i2WTc5p2UyFiAhj8LHR0pcCntg2wopm7GixJh2HBQ83ExpklZO88jJAzd6Y6gk9bUsY6wYGlP9zee-LtPqi4zaHI_SHRsw6KDo9UbhrenEM9lVVTrBl-Rgt9KgpCmd_bGcaeSHGxkrgRqTpWkY3N0wDLGXKxTqdt21dfXT0qBLqPF_l_HGpHbHkqViXUl9P2tTXxv1GMz0tYyHgXGcfVpXnRcv4VTkDZENbSBl9nzCAia8gXgchR7oXL_ht-0vNQDHg8Nrwn9SCVYb4xkfB03PVamx00m2wtoDVGLFinmzuKoPGjrqawoXuqTprF3EKHSPtFjf22N6u6zAL1vUo78Kj2N9BhnqjJO_DbJ9aT4-CGfr80hPxFwAvOY3b3zSDryIYUHLPSKTBAjVflXugL5GOJUVuzgAZazeaqZxeHF6hGIrYQlpBH7YyIZP7ShXpxUhL3_IMgHdIfFt9dcPDODxvyJKNKKmTeMa6YVvo4IIwmPUbpOcN9PFp3nmApxxiiVp2fwdPBxcjlp-BtWfp6Vdvyd3p4ze3BaFlxoTEErJys7YGPxq-XjJQRvHlv8Xj6vEdNjLOlvMpzXmoH3WCH2qj-qCIqChvsyf9ixFpiukChT4TVqpppjcmlupxOQV5MUvko-GgASeOxEG3-PcTI8Z66DNsy-NPCN4H6wUpsQTar7xv087K8dF92WGeVx5gaujLuGzvtCVXUbQ6xdLQYO_CGYcCUXMU0kdQJRl9hkwHwMe1kBVzysH9Y_rY-3UtXx5VkKjyBP76trj51skWaP6zW6gAWFJD85gqq-wdmXIjTQ_IR0YCVmUGYncBObRSV_W79M8XSFIxRe35mMeOCIMNZEZf9NvXdE-bfpUHl-f4Txow-d5AYn4ad1MyvLr-ZAKuqMQbsgzMYFTomnB1346mrDykOrvLexb2rTJKyIqMwchoCVGxWeeoA5dIy0OsE6BaXcpLbJAtgCVslWbLZwMse-wDu9n_C58Efoc1thn0QuosEj7kRq-_l_KxAPo_Jxpez80Q4dtLt2Gczt9MrrXjyZai_AH7yJwc03BfBrPWgZhA_N98DJFbo3o1LeG8JWAkFihprOu1h89kdajGZGrA210Sl32613TAdPsPPPALYrjz7pkx3A0djcVyeU46xU2UN2fFqPy0RfsE-6HnhAFXHZci-A2PVGpk7_bWZGcmuDVaFFVqiEHgGnKEavk6aMI1XpgR9vuI-tB2vL_KVLZBvgd_dNnd-g4agGjGyK-ZQFRy7wc1_JKODET2JneAnGF22ZHqZE87glzktZEZfktF80gGAIp_9M0tecB3mmDl17UaRVBCAWG6D2AjY8_wH8TJlAaPZ1Gu_BJ0E9nEPYUQvDwiTZi1YmXurp512p5y5mGzPl5NRB8wAu1UlecuEZRWG_zrdknnICREWiBOgY2f-NRKZPBxvv61T9RndYwk-ECReZ5I-Q8q7348sRrGU-HQ3_JszNrVbJfqAU3fEi6DemAjVnlwVBaV5Pfx9lzWPpKGMoDZM3x-ltXJMIg-0rRtQdKI2yKCCIlxgUPJL-Ifg4ou1aAJGSm8yX0XAttEauRTppfB2m9IJNumfqSk3hWOGXEPpmJjypxezgJ6bvjVnCz_NUWQVksdnhvn4QXTGKz63A_xNfSCgzSOpMEbgfHH1WxckGM-ZuzHOQetvQ_9T_9wp2bZW48JpAn7D1MKJNZPXUGBQgrsWxBzaNWaCa9Z_o0w6AbPc6OhnKxd44lqLR8yU_JWADa3n_Tnq8FqJxuuINscv9mLxT3hGx27ofvGTYf8rfW74N3J0QlhLK7YeOGdM8nMGUG4VFXqlcOd2ybxiYGTl07neoHK1zHXSpp_aPmjoPWBrv7BZdOuN-mgwuGQihiLz9imSv2w77KBWaZkZti4BMZafeGnkf8PQVoSjPY9SD9zePWvCAd4_4m-jQJefz2iWBZb1JRuyQLMngCjFHkzV3RB91cZ9z9qRkrhvTaHa-B2nlMw9e1IZvwgpY4_B6gajodz4yZs2yzAyT3IpuUCJKd-fVTODgsDEOGUFtvN6l4bh8ZxHgV4Ww22zsxVB_gQKIWb8r0dOFZECvn2ypzcZlbVhYFZ1tkFihyvkYyAySl-vhSkkvyr4Rx4ibb3alhK67CVEyDuwBGAtt7YJ49Y3OZt78LwT21i4zPsfyrp-6FYpafLc_L2xr4QQ-VQ8RmioMx89rt3EnqPUJDvXCV2pH2YZmrDsSKqElYFctX-yQG-lJg6_08CGPr3kuLpl2Nbe_dP0mTrZaDPozIZGVfGrFV4vo2Mvi3Po-roBnqVUqrM2WHZ1pT97CN7pIJAS4odw6Irlxt_LWYU7G7rOLUwzt5nMQDC-ilstCy0sqZmN2BXHUbAtM0XAj25R6P-s4SUdgvmQj3KXf0Di4X5ViWqe_V16ka4Q48wMcO8hl-n5oxRhppkxvukCA8hou34IE86j0nIxndPyTwnCz5lSuaFYBQ0m_jdhzCJ8Jmw_b_VRjpoTAAWknXh4e7UzcjlpDG9fm7OLvRyPJPizOGGFUsIYGnW_rAqZpQIpKgdfDVPYX7g8SHT1OBKa5kwAHAqAfLfrdFZYVEjzlqL4afQ51C_b5WgS6QFc7H8ZA7k-Ebhq676_5VF6VGdvqUooxulg-8PvPaN_Tg-xwRpPVwUpELtZSoi_B3LvImd6xpm_CE98EKHwaFCGcHWheXMBDvhPoSAT51xahqLBaQRT1AUagmldCvRdlfRL8wApaTmsoYiRvLfUKqrwaE_kh-J0bNzEbtewY_ARjVn9d0bQuJL84f6WhJML2j4-bsPSde-dxse2L4rcr4DGB587DopEsHLSrSv430sbt1SdDFnPcsCje9cD2FTO_YJzXkPgTJjUf0bW-4ikMg9R4sB8FQPmy7IJYyH7kvD5wkEBKTOaM92YEZRwJYtSi78aBpuP7sgxJvHOlFrVY968_gUQfJnjBSC5fIeZaCfbatJ8kvYA7Sboi8gRxnAcyWZBJ3venESWma6K0ZBsl4z699g_ukl91LBXwaQL858ddJHd1tVhxuDSPBy7WFFFISqn6zTydkDlGRUktkLVQOnRnJ5AjVq8iID4M6p5l7we8_xRUhNhhKFPVIl6wvk7Q9O7BEeXiAOGH4mtHTGr2lkLXl3cW-0Vygg-XmmuFSterUf4KVxbCxRFTU81h4yYUccWV5yuluc4pwxZP8b5VxYHoaaljAj_NOoV4L02rV_qsiULrmYgjnoUrTbaLR3QvfuLx4u883_eT0uCfEuQ1FUonLZ17a8cqP1SC7OwK1WiuHkfI5SEXnvDVYkqiLcr1T1xus5OIRpfqIS8f--Sb-hd7izNgzQ_mo58TPqYufM1qsA1lkc2nKznVYPham_WjT1LCR8AKbRIBhoaJAM75bJiLkNFlxCL-sLaivgFtyqgxbzamnxuPWZN54MSX2FX2S95g1KyDnUn58kWd_8R0l2j3LmDuaOVzq1u7n5nPBgmc71RZWO3mL1XSFxIEKJhiZtClS93BLGtgBGzd4AkZlKVwD03c-FiPQ9dSiWKants5xInco5fEUamtpACOGXdErS6iQbHGxq0IdnumuB1tcwl_nsxvWPNebTo9zaWJs1I9KRnhn6-Uw2UF5KNWTRgaaoSuKk8M7mGA4Nom6BytvaX3tTwULiTVfLQQibFY9C0RImvHtjhVdVidbDZvY-UsbCR22lt6nBrRxqivm0XJnpjwbL5xSQAAIpsuNRmDCgNsB4qrlRIwQ7jWvwqc7XI2mLtEMjhn71NdPDksJyQloUs5p8PehzCHQO-2NkNSguPgSG48QCDZEHCskJPiOZbVyThVQrs7DC4PvAAE_JcrIVc9TkhIaB_D6Ri3JIPimfFbdelSZT0kWjzuQ_mA53jEyDTxqL8KK1CF4f0X8JTm8rSPn5JMhNyeEm_I09jnoOHi9hjzU2m498B7iKVt7tvbUSh1Lsk86Y8mT1AUSEnom4J6xSwgnTcUMTSP6xtHM6zW1DKhCBFjUTwRZsJBhZ4hLRYUoQ5hbzvkGZpR2Q6CjPMFiLgFp3R8z7uMCLh2vBTemf-9cnFvQVjvjSx8oS8CDCsriqB_u_ckf70ka_PgKO7teFbcWuuF5l3qI5BftnbQSTjNie71jVXvZOVZ8KLlgjshB5SntZO5tvm56bnrYoV4S90jKWqIZEqrs5-fPyOqfHZ8S9t4bMP6o7awlXCnVGb6ffMRJ5a0gzwiaNuXtfcSh7q6KKkVqU6S5hqkDEueyyVxEZkg63mX19u0JDI5UPT7cHkC6urDsJgIMeSx-N6Vg6s6s8FqBc7Uu6ZwBEQKcvT2vxgMp0wWHxbagvmXVhVjW_6OPSbk31RQEo4iybaZOIsEpwT4kJSdEBRrTEoAtti8LqojJghQDoHkMTuG2tgmxOLJpV-lc79uf38EbF8X3f6LB7tGWBriFm30DOzjVsHfnOlBjfjXN92CaNax0HyTQvOKZiUtYNnorzk64EnLGEq0uk_VFsio7BZLJgFWlgURQMAZt_MllUcUXDgXrEqod3T71Qb2Wj-lgGXNDlOY2o147b_kdRt44NwHin8BixRS748cJZI1hlL_nOumDNQ2OGrx_1YBcmpjU5RWUtSsqqTua0ZGcJ_A9ITFgdWL__ruwS_ncKi6MbGvrnz5QajUGTrcruLkFkYyUUN971f61mivGPp7AWVxNuUwRitvBmyEffSMu_Um--osp-jE2z45FQLlU94PjhawWIpBeaoXbUwCV3D4XJd9tfgLhhyYLY0bZBc0ernd1Qv_84wcGEyRiy-lWPBi0qNZTHJEAlZVQVcXwpOJd78hEHwA7LwlomIf1G95iOsgbPsYjRJcvTcj7VnWzYJCCG7fhKdHBLbHXLzaqMxFiKYNwIzCBXPMZqjiIEjDbhiZ705v3Km9jgSNKSf0IEz8GlvTuHoAMvXR1nwR-SyC-0u8ipnoiFvZOUKEz7bzVdSkRjlpoPfq60pg1ZcPlUn4bQ7VWZBMpafJyGSP7eKG8LhuBEhgGcIAWKaC4XsOpqwxw5ehl3NeqJC9kKG4iTX3xoLFXki1g5_xbgcaUUBL7hQc_vaMBOPfpkffdxsqQ0-JlC5awr-_8pvvg7yJUZP8rhTn-R7HMzpWqMuntZvqmeF4GaFim8gt-peYm3ye3ilhqihHF8EBovI6nHlR9s7hbUd6PSb1H10abAIbTL107DubnABeULAR4QH04wJslyaWt3akmox5tnZ3CfR05i0Qo-J33KZWqF-6anT8UMl_Aa09w1N8JVw1xw-j-PfOZHQfnXu7vr4ra2tJg6aZpVGp4q8F7nxhIhSVjV6yZO76nizNq1ay4p7SquukFCy8yTrINxdU19pb9Zttd-THIhMZnpjd7qUl18vL2iKZ1-OImfJkFvujDj6SpmOQ1TXcliBUXLi9IPlDctTkemMLz7SpyWjKIvr9vZOtuNnBDu0GXm5dWUWIhQZYs8Oo0AzX6t7DV1T3gggD4_Fvv2ex97LadkXcJhD961nPuS4hXHG77IIFWHHtY_CailjDI2r-S_u0vYcCmoX-xhOtHXjbAOpnkM9rt3TNMhbBDSjT438KUVn5j90c3ME4pWHnyhlQqG-oLmsTt9ceA3I6GYMkVoL2vHzno4Eio0U0whGg6vL6coMqK5KDI5ul0QbFbStGmvCFJFwFE_ODw15S0xwMMb-DxOj0YR7IZngcc4dF6-EYSmlzJ-8Cq-r5exXaI8h6TpoNsW6fjlcAHtllaosOFRbh0F1r6eM8KgYr3lm0-qdTYl7dPBiZa6RBOP0A61SSc73e4BU_xiVRtdDJrsxQkOfCt1t1JeG5WUUQGHtYRjUikw2BwQA4Tdotc-glQoM51STtolovSojCvHAdJqHCmsYBkFNe_tuOCoPIyJnj8Kvpg9SEZG2NBK3O9OBzE_OxYPGwtwAV_8dElUd7tYE_aRrSW3LcZTzb81DjckUdl3JyvfvBKi32M4U17nKNNxMp5gXM2tmucx_SMcRU-FZrJw1Tidcqyw8pB64zHLCsPkg3x5JRmmWkULPVydX92bJ9XeoKWujUUzaIiQVBt-zu6ph5AhHg4xJ6CyQA8nZxqOfbxHVkTEg5RRaSbTUWdsVMur76SltqoNGkPctR_Hy6UaRzR_3rnnhHL4PbjLZcDMwnxsl8FZLRD-7X1rrktt5qg-MSHuLlzHnkSh83vsDOIBmcqirT6yQpbYOzgAI9so7ClBTxC42bn4yPhQlBO4nx0T80VrujWK6idhULUpDg73aPrxv1KcJfPUMD_BHR3PImtrSX5AiUtRgA2PjPNGHcwK_-k2dCGKXssHJl7QjB-bSKYDQps20u8b67xZ3VxO677DPRYbWSWfWI35MXTcIrnUm8GxH7K5qicbce9HjVCTr6QHLQ_QzIjR8Z0lHpOXl7GVReB_J96EOPt3L5a6GQPsj5utPJ7ZDxEHpuu3mDoRLqTVwuHmGXbpAqUV43MUav5ilDP2qfyMUM1ju2wHPvtp5WBvJzSa-JNmoUtLJm_6Xe94k5clZUKOIe0aAyj76djB0OdHJbUbyJc9n2PNxcG2sGVgr6ozyppCqkS9-fg95WtHQ06tHxrS-pc3Q5u9KzKcm3a-Y8e7NbgzX-UKNKmG1ldU6DJtRq0qztsmnS22VaKuC50pdicyskCGaKEUvmrRtEARWVtHm06pa-2-Zs7WE0fcqQWTjLp-3A_6_mNDPwTggqZ15pXgh4-LO8s01heUEMKHObvIlafpFHGmFJi3XlOriEf3sP-HBH-EnjdbFtIljbELlD0GXZDC-5TDe7lNgqG-Ya1VfKrdw7pS02YWaGbsfvg7kPIsz-H9Klf8FRqMzTe_ZZ4IH_ljOrA_Et2p1Q9QUjhzCmVXKsUuVbUDEzto9SNiUaG5PTEyF6McYlL2x2TcKRaROy1yvyMsBUia1OVG4JdY8uNBUpB8dmwcMw=", "iter": 260000}