🧠 LLM IO 运行报告

--input /root/.hermes/data/llm_io/llm_io_20260603.jsonl · 生成于 2026-06-03 21:51

总记录数
145
输入 Token
463,732
输出 Token
125,330
平均延迟
26027ms
min 6971 / max 70468
均输入/条
3,198
tokens
均输出/条
864
tokens
world_model×145

⏱ 延迟时间线 — 点击条跳转到对应卡片

每条竖线代表一次 LLM 调用,高度表示延迟。共 145 条记录。
world_model
#1 world_model 49716ms
2026-06-03 08:04:56
#2 world_model 30284ms
2026-06-03 08:10:54
#3 world_model 33601ms
2026-06-03 08:16:01
#4 world_model 51972ms
2026-06-03 08:21:15
#5 world_model 25307ms
2026-06-03 08:26:13
#6 world_model 16655ms
2026-06-03 08:31:19
#7 world_model 25310ms
2026-06-03 08:41:32
#8 world_model 27314ms
2026-06-03 08:45:42
#9 world_model 38991ms
2026-06-03 08:50:59
#10 world_model 34059ms
2026-06-03 08:56:46
#11 world_model 55899ms
2026-06-03 09:06:24
#12 world_model 46132ms
2026-06-03 09:11:49
#13 world_model 40378ms
2026-06-03 09:16:45
#14 world_model 49685ms
2026-06-03 09:21:08
#15 world_model 25526ms
2026-06-03 09:26:31
#16 world_model 33312ms
2026-06-03 09:33:06
#17 world_model 21977ms
2026-06-03 09:35:51
#18 world_model 25732ms
2026-06-03 09:41:32
#19 world_model 24199ms
2026-06-03 09:45:59
#20 world_model 25876ms
2026-06-03 09:56:00
#21 world_model 70468ms
2026-06-03 10:01:31
#22 world_model 31970ms
2026-06-03 10:06:05
#23 world_model 19857ms
2026-06-03 10:11:21
#24 world_model 18766ms
2026-06-03 10:16:14
#25 world_model 33506ms
2026-06-03 10:21:38
#26 world_model 55235ms
2026-06-03 10:26:45
#27 world_model 38115ms
2026-06-03 10:40:52
#28 world_model 28414ms
2026-06-03 10:46:18
#29 world_model 37651ms
2026-06-03 10:51:47
#30 world_model 25215ms
2026-06-03 10:55:43
#31 world_model 29981ms
2026-06-03 11:04:31
#32 world_model 29711ms
2026-06-03 11:11:07
#33 world_model 14548ms
2026-06-03 11:16:12
#34 world_model 30705ms
2026-06-03 11:21:26
#35 world_model 11601ms
2026-06-03 11:25:59
#36 world_model 23521ms
2026-06-03 11:31:06
#37 world_model 16236ms
2026-06-03 11:36:04
#38 world_model 34000ms
2026-06-03 11:40:43
#39 world_model 11837ms
2026-06-03 11:46:03
#40 world_model 14045ms
2026-06-03 11:51:23
#41 world_model 18343ms
2026-06-03 11:56:19
#42 world_model 20851ms
2026-06-03 12:03:42
#43 world_model 25728ms
2026-06-03 12:11:30
#44 world_model 29256ms
2026-06-03 12:16:27
#45 world_model 32373ms
2026-06-03 12:21:45
#46 world_model 23037ms
2026-06-03 12:25:45
#47 world_model 17669ms
2026-06-03 12:30:27
#48 world_model 22539ms
2026-06-03 12:36:29
#49 world_model 41217ms
2026-06-03 12:41:10
#50 world_model 35748ms
2026-06-03 12:46:26
#51 world_model 21017ms
2026-06-03 12:50:33
#52 world_model 55046ms
2026-06-03 12:57:03
#53 world_model 25043ms
2026-06-03 13:01:11
#54 world_model 34695ms
2026-06-03 13:06:17
#55 world_model 32497ms
2026-06-03 13:11:35
#56 world_model 19734ms
2026-06-03 13:15:32
#57 world_model 38664ms
2026-06-03 13:21:17
#58 world_model 12566ms
2026-06-03 13:26:11
#59 world_model 26187ms
2026-06-03 13:31:29
#60 world_model 11941ms
2026-06-03 13:36:13
#61 world_model 22749ms
2026-06-03 13:40:44
#62 world_model 23046ms
2026-06-03 13:45:34
#63 world_model 40934ms
2026-06-03 13:51:47
#64 world_model 22617ms
2026-06-03 13:56:13
#65 world_model 18208ms
2026-06-03 14:01:18
#66 world_model 24285ms
2026-06-03 14:05:51
#67 world_model 21362ms
2026-06-03 14:11:15
#68 world_model 32812ms
2026-06-03 14:16:40
#69 world_model 28681ms
2026-06-03 14:20:47
#70 world_model 17128ms
2026-06-03 14:25:53
#71 world_model 20289ms
2026-06-03 14:41:07
#72 world_model 21836ms
2026-06-03 14:45:59
#73 world_model 22842ms
2026-06-03 14:51:18
#74 world_model 16165ms
2026-06-03 15:04:46
#75 world_model 19646ms
2026-06-03 15:10:56
#76 world_model 26789ms
2026-06-03 15:16:31
#77 world_model 26426ms
2026-06-03 15:21:28
#78 world_model 24574ms
2026-06-03 15:25:42
#79 world_model 20364ms
2026-06-03 15:30:57
#80 world_model 24305ms
2026-06-03 15:35:47
#81 world_model 30806ms
2026-06-03 15:41:35
#82 world_model 31414ms
2026-06-03 15:45:57
#83 world_model 26975ms
2026-06-03 15:51:00
#84 world_model 27815ms
2026-06-03 15:56:07
#85 world_model 23501ms
2026-06-03 16:01:06
#86 world_model 10843ms
2026-06-03 16:10:41
#87 world_model 20668ms
2026-06-03 16:15:36
#88 world_model 55385ms
2026-06-03 16:21:57
#89 world_model 21795ms
2026-06-03 16:40:51
#90 world_model 25510ms
2026-06-03 16:45:42
#91 world_model 20970ms
2026-06-03 16:51:17
#92 world_model 32076ms
2026-06-03 16:56:56
#93 world_model 31778ms
2026-06-03 17:01:41
#94 world_model 26375ms
2026-06-03 17:11:10
#95 world_model 37160ms
2026-06-03 17:15:57
#96 world_model 17327ms
2026-06-03 17:21:27
#97 world_model 27923ms
2026-06-03 17:25:47
#98 world_model 22610ms
2026-06-03 17:31:16
#99 world_model 31490ms
2026-06-03 17:35:45
#100 world_model 26213ms
2026-06-03 17:41:37
#101 world_model 33498ms
2026-06-03 17:46:28
#102 world_model 24559ms
2026-06-03 17:50:39
#103 world_model 31277ms
2026-06-03 17:56:27
#104 world_model 24180ms
2026-06-03 18:01:34
#105 world_model 22278ms
2026-06-03 18:11:15
#106 world_model 32614ms
2026-06-03 18:16:44
#107 world_model 14666ms
2026-06-03 18:20:52
#108 world_model 22691ms
2026-06-03 18:25:45
#109 world_model 16072ms
2026-06-03 18:31:17
#110 world_model 15071ms
2026-06-03 18:35:31
#111 world_model 17675ms
2026-06-03 18:40:39
#112 world_model 34660ms
2026-06-03 18:46:17
#113 world_model 20759ms
2026-06-03 18:51:21
#114 world_model 17227ms
2026-06-03 18:56:01
#115 world_model 19674ms
2026-06-03 19:01:29
#116 world_model 14982ms
2026-06-03 19:05:51
#117 world_model 18361ms
2026-06-03 19:11:28
#118 world_model 23493ms
2026-06-03 19:20:41
#119 world_model 14824ms
2026-06-03 19:25:57
#120 world_model 19617ms
2026-06-03 19:30:41
#121 world_model 19598ms
2026-06-03 19:35:49
#122 world_model 14414ms
2026-06-03 19:41:07
#123 world_model 14380ms
2026-06-03 19:46:20
#124 world_model 30956ms
2026-06-03 19:51:30
#125 world_model 19735ms
2026-06-03 19:56:25
#126 world_model 17030ms
2026-06-03 20:01:38
#127 world_model 18088ms
2026-06-03 20:06:05
#128 world_model 15727ms
2026-06-03 20:11:10
#129 world_model 9004ms
2026-06-03 20:15:54
#130 world_model 6971ms
2026-06-03 20:25:46
#131 world_model 22054ms
2026-06-03 20:30:39
#132 world_model 15130ms
2026-06-03 20:41:02
#133 world_model 11640ms
2026-06-03 20:46:27
#134 world_model 28366ms
2026-06-03 20:51:25
#135 world_model 18348ms
2026-06-03 20:56:29
#136 world_model 12486ms
2026-06-03 21:04:14
#137 world_model 28321ms
2026-06-03 21:11:29
#138 world_model 23368ms
2026-06-03 21:16:23
#139 world_model 21951ms
2026-06-03 21:21:34
#140 world_model 22868ms
2026-06-03 21:26:10
#141 world_model 29280ms
2026-06-03 21:31:23
#142 world_model 26841ms
2026-06-03 21:36:24
#143 world_model 20387ms
2026-06-03 21:40:34
#144 world_model 39707ms
2026-06-03 21:46:00
#145 world_model 23983ms
2026-06-03 21:51:17

🧠 注意力权重滑动窗口(145 cycles)

衰减半衰期 300s · jike(0.8) feishu(0.6) memory(0.5) · 归一化后每周期记录,据 SQLite cycle_records
Jike
Feishu
Memory
Rest
0.00 0.25 0.50 0.75 1.00 Cycle #2920: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2921: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2922: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2923: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2924: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2925: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2926: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2927: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2928: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2929: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2930: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2931: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2932: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2933: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2934: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2935: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2936: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2937: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2938: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2940: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2941: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2942: jike=0.0073 feishu=0.0055 memory=0.0045 rest=0.9827 Cycle #2943: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2944: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2945: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2946: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2948: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2949: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2950: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2951: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2952: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2953: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2954: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2955: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2956: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2957: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2958: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2959: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2960: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2961: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2962: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2963: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2964: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2965: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2966: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2967: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2968: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2969: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2970: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2971: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2972: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2973: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2974: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2975: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2976: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2977: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2978: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2979: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2980: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2981: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2982: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2983: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2984: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2985: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2986: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2987: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2988: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2989: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2990: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2991: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2992: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2993: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2994: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2995: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2996: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2997: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2998: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #2999: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3000: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3001: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3002: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3003: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3004: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3005: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3006: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3007: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3008: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3009: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3011: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3012: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3013: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3014: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3015: jike=0.0072 feishu=0.0054 memory=0.0045 rest=0.9828 Cycle #3016: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3017: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3018: jike=0.0075 feishu=0.0056 memory=0.0047 rest=0.9821 Cycle #3019: jike=0.0073 feishu=0.0055 memory=0.0046 rest=0.9827 Cycle #3020: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3021: jike=0.0073 feishu=0.0055 memory=0.0046 rest=0.9827 Cycle #3022: jike=0.0074 feishu=0.0055 memory=0.0046 rest=0.9825 Cycle #3023: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3024: jike=0.4211 feishu=0.3158 memory=0.2632 rest=0.0000 Cycle #3025: jike=0.0073 feishu=0.0055 memory=0.0046 rest=0.9827 Cycle #3026: jike=0.0074 feishu=0.0056 memory=0.0046 rest=0.9824 Cycle #3027: jike=0.0074 feishu=0.0056 memory=0.0047 rest=0.9823 Cycle #3028: jike=0.4207 feishu=0.3163 memory=0.2630 rest=0.0000 Cycle #3029: jike=0.0076 feishu=0.0057 memory=0.0047 rest=0.9820 Cycle #3030: jike=0.0074 feishu=0.0056 memory=0.0046 rest=0.9823 Cycle #3031: jike=0.0076 feishu=0.0057 memory=0.0047 rest=0.9820 Cycle #3032: jike=0.0076 feishu=0.0057 memory=0.0047 rest=0.9820 Cycle #3033: jike=0.0075 feishu=0.0057 memory=0.0047 rest=0.9821 Cycle #3034: jike=0.0072 feishu=0.0054 memory=0.0045 rest=0.9828 Cycle #3035: jike=0.0075 feishu=0.0056 memory=0.0047 rest=0.9823 Cycle #3036: jike=0.0075 feishu=0.0056 memory=0.0047 rest=0.9822 Cycle #3037: jike=0.0075 feishu=0.0056 memory=0.0047 rest=0.9822 Cycle #3038: jike=0.0076 feishu=0.0057 memory=0.0047 rest=0.9820 Cycle #3039: jike=0.0075 feishu=0.0056 memory=0.0047 rest=0.9821 Cycle #3040: jike=0.0074 feishu=0.0056 memory=0.0046 rest=0.9824 Cycle #3041: jike=0.0076 feishu=0.0057 memory=0.0047 rest=0.9820 Cycle #3042: jike=0.0075 feishu=0.0056 memory=0.0047 rest=0.9822 Cycle #3043: jike=0.0075 feishu=0.0056 memory=0.0047 rest=0.9822 Cycle #3044: jike=0.0076 feishu=0.0057 memory=0.0047 rest=0.9820 Cycle #3045: jike=0.0076 feishu=0.0057 memory=0.0047 rest=0.9820 Cycle #3046: jike=0.4207 feishu=0.3163 memory=0.2630 rest=0.0000 Cycle #3047: jike=0.0075 feishu=0.0056 memory=0.0047 rest=0.9822 Cycle #3048: jike=0.0075 feishu=0.0057 memory=0.0047 rest=0.9821 Cycle #3049: jike=0.0075 feishu=0.0056 memory=0.0047 rest=0.9821 Cycle #3050: jike=0.0076 feishu=0.0057 memory=0.0047 rest=0.9820 Cycle #3051: jike=0.0077 feishu=0.0058 memory=0.0048 rest=0.9818 Cycle #3052: jike=0.0077 feishu=0.0058 memory=0.0048 rest=0.9817 Cycle #3053: jike=0.0074 feishu=0.0056 memory=0.0047 rest=0.9823 Cycle #3054: jike=0.0076 feishu=0.0057 memory=0.0047 rest=0.9820 Cycle #3055: jike=0.0076 feishu=0.0057 memory=0.0048 rest=0.9819 Cycle #3056: jike=0.0073 feishu=0.0055 memory=0.0046 rest=0.9825 Cycle #3057: jike=0.0075 feishu=0.0056 memory=0.0047 rest=0.9821 Cycle #3058: jike=0.0076 feishu=0.0057 memory=0.0048 rest=0.9819 Cycle #3059: jike=0.0073 feishu=0.0055 memory=0.0046 rest=0.9825 Cycle #3060: jike=0.0074 feishu=0.0056 memory=0.0046 rest=0.9823 Cycle #3061: jike=0.0074 feishu=0.0056 memory=0.0047 rest=0.9823 Cycle #3062: jike=0.4207 feishu=0.3164 memory=0.2629 rest=0.0000 Cycle #3063: jike=0.4207 feishu=0.3163 memory=0.2630 rest=0.0000 Cycle #3064: jike=0.4207 feishu=0.3163 memory=0.2629 rest=0.0000 Cycle #3065: jike=0.4207 feishu=0.3163 memory=0.2630 rest=0.0000 Cycle #3066: jike=0.4207 feishu=0.3164 memory=0.2629 rest=0.0000 Cycle #3067: jike=0.4205 feishu=0.3167 memory=0.2628 rest=0.0000 2920 2927 2934 2942 2950 2957 2964 2971 2978 2985 2992 2999 3006 3014 3021 3028 3035 3042 3049 3056 3063 3067 1.00

🔄 SNS 互动记录(63 cycles with intents)

按 cycle 堆叠的互动数量与类型分布。hover 查看详情。
like
comment
reply
reach_out
remember
join_topic
set_topic_score
deep_dive
rest
dismiss_reply
0 1 2 3 4 5 6 7 8 9 10 11 12 Cycle#2920 like=1 Cycle#2920 like=1 Cycle#2921 like=1 Cycle#2921 like=1 Cycle#2922 like=1 Cycle#2922 like=1 Cycle#2923 comment=1 Cycle#2923 comment=1 Cycle#2924 remember=1 Cycle#2924 remember=1 Cycle#2925 remember=1 Cycle#2925 remember=1 Cycle#2926 like=1 remember=1 Cycle#2926 like=1 remember=1 Cycle#2926 like=1 remember=1 Cycle#2927 remember=1 Cycle#2927 remember=1 Cycle#2928 like=3 remember=1 Cycle#2928 like=3 remember=1 Cycle#2928 like=3 remember=1 Cycle#2929 like=1 deep_dive=1 Cycle#2929 like=1 deep_dive=1 Cycle#2929 like=1 deep_dive=1 Cycle#2930 like=2 comment=1 reply=1 Cycle#2930 like=2 comment=1 reply=1 Cycle#2930 like=2 comment=1 reply=1 Cycle#2930 like=2 comment=1 reply=1 Cycle#2931 like=2 comment=1 Cycle#2931 like=2 comment=1 Cycle#2931 like=2 comment=1 Cycle#2932 like=1 reach_out=1 Cycle#2932 like=1 reach_out=1 Cycle#2932 like=1 reach_out=1 Cycle#2933 like=2 comment=1 reach_out=1 remember=3 Cycle#2933 like=2 comment=1 reach_out=1 remember=3 Cycle#2933 like=2 comment=1 reach_out=1 remember=3 Cycle#2933 like=2 comment=1 reach_out=1 remember=3 Cycle#2933 like=2 comment=1 reach_out=1 remember=3 Cycle#2935 like=1 reach_out=1 Cycle#2935 like=1 reach_out=1 Cycle#2935 like=1 reach_out=1 Cycle#2936 like=1 reach_out=1 Cycle#2936 like=1 reach_out=1 Cycle#2936 like=1 reach_out=1 Cycle#2937 like=1 reach_out=1 set_topic_score=1 deep_dive=1 Cycle#2937 like=1 reach_out=1 set_topic_score=1 deep_dive=1 Cycle#2937 like=1 reach_out=1 set_topic_score=1 deep_dive=1 Cycle#2937 like=1 reach_out=1 set_topic_score=1 deep_dive=1 Cycle#2937 like=1 reach_out=1 set_topic_score=1 deep_dive=1 Cycle#2938 comment=1 set_topic_score=1 Cycle#2938 comment=1 set_topic_score=1 Cycle#2938 comment=1 set_topic_score=1 Cycle#2940 like=2 remember=2 Cycle#2940 like=2 remember=2 Cycle#2940 like=2 remember=2 Cycle#2941 like=2 set_topic_score=1 deep_dive=1 Cycle#2941 like=2 set_topic_score=1 deep_dive=1 Cycle#2941 like=2 set_topic_score=1 deep_dive=1 Cycle#2941 like=2 set_topic_score=1 deep_dive=1 Cycle#2942 like=1 comment=1 remember=1 rest=1 Cycle#2942 like=1 comment=1 remember=1 rest=1 Cycle#2942 like=1 comment=1 remember=1 rest=1 Cycle#2942 like=1 comment=1 remember=1 rest=1 Cycle#2942 like=1 comment=1 remember=1 rest=1 Cycle#2945 deep_dive=1 Cycle#2945 deep_dive=1 Cycle#2946 like=1 remember=1 deep_dive=1 Cycle#2946 like=1 remember=1 deep_dive=1 Cycle#2946 like=1 remember=1 deep_dive=1 Cycle#2946 like=1 remember=1 deep_dive=1 Cycle#3003 like=1 Cycle#3003 like=1 Cycle#3004 like=1 Cycle#3004 like=1 Cycle#3005 like=1 Cycle#3005 like=1 Cycle#3006 reply=2 Cycle#3006 reply=2 Cycle#3007 reply=1 Cycle#3007 reply=1 Cycle#3008 deep_dive=1 Cycle#3008 deep_dive=1 Cycle#3009 like=2 reply=2 deep_dive=2 dismiss_reply=1 Cycle#3009 like=2 reply=2 deep_dive=2 dismiss_reply=1 Cycle#3009 like=2 reply=2 deep_dive=2 dismiss_reply=1 Cycle#3009 like=2 reply=2 deep_dive=2 dismiss_reply=1 Cycle#3009 like=2 reply=2 deep_dive=2 dismiss_reply=1 Cycle#3011 reply=2 Cycle#3011 reply=2 Cycle#3014 reply=2 dismiss_reply=1 Cycle#3014 reply=2 dismiss_reply=1 Cycle#3014 reply=2 dismiss_reply=1 Cycle#3015 like=1 reply=1 rest=1 dismiss_reply=2 Cycle#3015 like=1 reply=1 rest=1 dismiss_reply=2 Cycle#3015 like=1 reply=1 rest=1 dismiss_reply=2 Cycle#3015 like=1 reply=1 rest=1 dismiss_reply=2 Cycle#3015 like=1 reply=1 rest=1 dismiss_reply=2 Cycle#3016 reply=2 Cycle#3016 reply=2 Cycle#3017 reply=1 dismiss_reply=2 Cycle#3017 reply=1 dismiss_reply=2 Cycle#3017 reply=1 dismiss_reply=2 Cycle#3018 reply=2 rest=1 Cycle#3018 reply=2 rest=1 Cycle#3018 reply=2 rest=1 Cycle#3019 reply=1 rest=1 dismiss_reply=2 Cycle#3019 reply=1 rest=1 dismiss_reply=2 Cycle#3019 reply=1 rest=1 dismiss_reply=2 Cycle#3019 reply=1 rest=1 dismiss_reply=2 Cycle#3020 like=1 Cycle#3020 like=1 Cycle#3021 like=1 reply=3 rest=1 dismiss_reply=2 Cycle#3021 like=1 reply=3 rest=1 dismiss_reply=2 Cycle#3021 like=1 reply=3 rest=1 dismiss_reply=2 Cycle#3021 like=1 reply=3 rest=1 dismiss_reply=2 Cycle#3021 like=1 reply=3 rest=1 dismiss_reply=2 Cycle#3022 rest=1 Cycle#3022 rest=1 Cycle#3023 like=2 reply=1 deep_dive=1 dismiss_reply=2 Cycle#3023 like=2 reply=1 deep_dive=1 dismiss_reply=2 Cycle#3023 like=2 reply=1 deep_dive=1 dismiss_reply=2 Cycle#3023 like=2 reply=1 deep_dive=1 dismiss_reply=2 Cycle#3023 like=2 reply=1 deep_dive=1 dismiss_reply=2 Cycle#3024 like=1 Cycle#3024 like=1 Cycle#3025 deep_dive=2 rest=1 Cycle#3025 deep_dive=2 rest=1 Cycle#3025 deep_dive=2 rest=1 Cycle#3026 rest=1 dismiss_reply=3 Cycle#3026 rest=1 dismiss_reply=3 Cycle#3026 rest=1 dismiss_reply=3 Cycle#3027 like=1 deep_dive=2 rest=1 dismiss_reply=3 Cycle#3027 like=1 deep_dive=2 rest=1 dismiss_reply=3 Cycle#3027 like=1 deep_dive=2 rest=1 dismiss_reply=3 Cycle#3027 like=1 deep_dive=2 rest=1 dismiss_reply=3 Cycle#3027 like=1 deep_dive=2 rest=1 dismiss_reply=3 Cycle#3028 like=1 dismiss_reply=3 Cycle#3028 like=1 dismiss_reply=3 Cycle#3028 like=1 dismiss_reply=3 Cycle#3029 rest=1 dismiss_reply=3 Cycle#3029 rest=1 dismiss_reply=3 Cycle#3029 rest=1 dismiss_reply=3 Cycle#3030 like=1 rest=1 dismiss_reply=3 Cycle#3030 like=1 rest=1 dismiss_reply=3 Cycle#3030 like=1 rest=1 dismiss_reply=3 Cycle#3030 like=1 rest=1 dismiss_reply=3 Cycle#3031 rest=1 dismiss_reply=3 Cycle#3031 rest=1 dismiss_reply=3 Cycle#3031 rest=1 dismiss_reply=3 Cycle#3032 rest=1 dismiss_reply=3 Cycle#3032 rest=1 dismiss_reply=3 Cycle#3032 rest=1 dismiss_reply=3 Cycle#3033 rest=1 dismiss_reply=3 Cycle#3033 rest=1 dismiss_reply=3 Cycle#3033 rest=1 dismiss_reply=3 Cycle#3034 deep_dive=1 rest=1 dismiss_reply=10 Cycle#3034 deep_dive=1 rest=1 dismiss_reply=10 Cycle#3034 deep_dive=1 rest=1 dismiss_reply=10 Cycle#3034 deep_dive=1 rest=1 dismiss_reply=10 Cycle#3035 comment=1 rest=1 Cycle#3035 comment=1 rest=1 Cycle#3035 comment=1 rest=1 Cycle#3036 like=1 reply=1 rest=1 Cycle#3036 like=1 reply=1 rest=1 Cycle#3036 like=1 reply=1 rest=1 Cycle#3036 like=1 reply=1 rest=1 Cycle#3037 reply=2 rest=1 Cycle#3037 reply=2 rest=1 Cycle#3037 reply=2 rest=1 Cycle#3038 like=1 rest=1 dismiss_reply=1 Cycle#3038 like=1 rest=1 dismiss_reply=1 Cycle#3038 like=1 rest=1 dismiss_reply=1 Cycle#3038 like=1 rest=1 dismiss_reply=1 Cycle#3039 deep_dive=1 rest=1 Cycle#3039 deep_dive=1 rest=1 Cycle#3039 deep_dive=1 rest=1 Cycle#3040 like=1 comment=1 rest=1 Cycle#3040 like=1 comment=1 rest=1 Cycle#3040 like=1 comment=1 rest=1 Cycle#3040 like=1 comment=1 rest=1 Cycle#3041 rest=1 Cycle#3041 rest=1 Cycle#3042 like=1 comment=1 rest=1 Cycle#3042 like=1 comment=1 rest=1 Cycle#3042 like=1 comment=1 rest=1 Cycle#3042 like=1 comment=1 rest=1 Cycle#3043 rest=1 Cycle#3043 rest=1 Cycle#3044 rest=1 Cycle#3044 rest=1 Cycle#3045 rest=1 Cycle#3045 rest=1 2920 2923 2926 2929 2932 2936 2940 2945 3004 3007 3011 3016 3019 3022 3025 3028 3031 3034 3037 3040 3043 3045

📄 记录卡片

1cycle#2920world_modeldeepseek-v4-pro
📥2362📤1636⏱49716ms
2026-06-03 08:04:56
2cycle#2921world_modeldeepseek-v4-pro
📥2268📤1107⏱30284ms
2026-06-03 08:10:54
3cycle#2922world_modeldeepseek-v4-pro
📥2244📤1203⏱33601ms
2026-06-03 08:16:01
4cycle#2923world_modeldeepseek-v4-pro
📥2354📤2057⏱51972ms
2026-06-03 08:21:15
5cycle#2924world_modeldeepseek-v4-pro
📥2500📤848⏱25307ms
2026-06-03 08:26:13
6cycle#2925world_modeldeepseek-v4-pro
📥2276📤690⏱16655ms
2026-06-03 08:31:19
7cycle#2926world_modeldeepseek-v4-pro
📥2328📤989⏱25310ms
2026-06-03 08:41:32
8cycle#2927world_modeldeepseek-v4-pro
📥2195📤989⏱27314ms
2026-06-03 08:45:42
9cycle#2928world_modeldeepseek-v4-pro
📥2334📤1591⏱38991ms
2026-06-03 08:50:59
10cycle#2929world_modeldeepseek-v4-pro
📥2287📤1184⏱34059ms
2026-06-03 08:56:46
11cycle#2930world_modeldeepseek-v4-pro
📥2517📤1861⏱55899ms
2026-06-03 09:06:24
12cycle#2931world_modeldeepseek-v4-pro
📥2477📤1567⏱46132ms
2026-06-03 09:11:49
13cycle#2932world_modeldeepseek-v4-pro
📥2401📤1373⏱40378ms
2026-06-03 09:16:45
14cycle#2933world_modeldeepseek-v4-pro
📥2546📤1669⏱49685ms
2026-06-03 09:21:08
15cycle#2934world_modeldeepseek-v4-pro
📥2513📤820⏱25526ms
2026-06-03 09:26:31
16cycle#2935world_modeldeepseek-v4-pro
📥2364📤1122⏱33312ms
2026-06-03 09:33:06
17cycle#2936world_modeldeepseek-v4-pro
📥2675📤700⏱21977ms
2026-06-03 09:35:51
18cycle#2937world_modeldeepseek-v4-pro
📥2695📤696⏱25732ms
2026-06-03 09:41:32
19cycle#2938world_modeldeepseek-v4-pro
📥2718📤745⏱24199ms
2026-06-03 09:45:59
20cycle#2940world_modeldeepseek-v4-pro
📥2779📤902⏱25876ms
2026-06-03 09:56:00
21cycle#2941world_modeldeepseek-v4-pro
📥2825📤2284⏱70468ms
2026-06-03 10:01:31
22cycle#2942world_modeldeepseek-v4-pro
📥3083📤1015⏱31970ms
2026-06-03 10:06:05
23cycle#2943world_modeldeepseek-v4-pro
📥2779📤617⏱19857ms
2026-06-03 10:11:21
24cycle#2944world_modeldeepseek-v4-pro
📥2785📤648⏱18766ms
2026-06-03 10:16:14
25cycle#2945world_modeldeepseek-v4-pro
📥3061📤1027⏱33506ms
2026-06-03 10:21:38
26cycle#2946world_modeldeepseek-v4-pro
📥3065📤1827⏱55235ms
2026-06-03 10:26:45
27cycle#2948world_modeldeepseek-v4-pro
📥2814📤1177⏱38115ms
2026-06-03 10:40:52
28cycle#2949world_modeldeepseek-v4-pro
📥2843📤902⏱28414ms
2026-06-03 10:46:18
29cycle#2950world_modeldeepseek-v4-pro
📥3803📤1164⏱37651ms
2026-06-03 10:51:47
30cycle#2951world_modeldeepseek-v4-pro
📥4199📤781⏱25215ms
2026-06-03 10:55:43
31cycle#2952world_modeldeepseek-v4-pro
📥3861📤877⏱29981ms
2026-06-03 11:04:31
32cycle#2953world_modeldeepseek-v4-pro
📥3936📤942⏱29711ms
2026-06-03 11:11:07
33cycle#2954world_modeldeepseek-v4-pro
📥3851📤481⏱14548ms
2026-06-03 11:16:12
34cycle#2955world_modeldeepseek-v4-pro
📥3833📤959⏱30705ms
2026-06-03 11:21:26
35cycle#2956world_modeldeepseek-v4-pro
📥3577📤417⏱11601ms
2026-06-03 11:25:59
36cycle#2957world_modeldeepseek-v4-pro
📥3408📤744⏱23521ms
2026-06-03 11:31:06
37cycle#2958world_modeldeepseek-v4-pro
📥3573📤630⏱16236ms
2026-06-03 11:36:04
38cycle#2959world_modeldeepseek-v4-pro
📥3725📤1073⏱34000ms
2026-06-03 11:40:43
39cycle#2960world_modeldeepseek-v4-pro
📥3917📤340⏱11837ms
2026-06-03 11:46:03
40cycle#2961world_modeldeepseek-v4-pro
📥3529📤453⏱14045ms
2026-06-03 11:51:23
41cycle#2962world_modeldeepseek-v4-pro
📥3247📤649⏱18343ms
2026-06-03 11:56:19
42cycle#2963world_modeldeepseek-v4-pro
📥3399📤694⏱20851ms
2026-06-03 12:03:42
43cycle#2964world_modeldeepseek-v4-pro
📥3726📤877⏱25728ms
2026-06-03 12:11:30
44cycle#2965world_modeldeepseek-v4-pro
📥3838📤998⏱29256ms
2026-06-03 12:16:27
45cycle#2966world_modeldeepseek-v4-pro
📥3893📤1096⏱32373ms
2026-06-03 12:21:45
46cycle#2967world_modeldeepseek-v4-pro
📥3908📤688⏱23037ms
2026-06-03 12:25:45
47cycle#2968world_modeldeepseek-v4-pro
📥4041📤485⏱17669ms
2026-06-03 12:30:27
48cycle#2969world_modeldeepseek-v4-pro
📥3657📤704⏱22539ms
2026-06-03 12:36:29
49cycle#2970world_modeldeepseek-v4-pro
📥3591📤1265⏱41217ms
2026-06-03 12:41:10
50cycle#2971world_modeldeepseek-v4-pro
📥3909📤1142⏱35748ms
2026-06-03 12:46:26
51cycle#2972world_modeldeepseek-v4-pro
📥3923📤688⏱21017ms
2026-06-03 12:50:33
52cycle#2973world_modeldeepseek-v4-pro
📥3886📤1854⏱55046ms
2026-06-03 12:57:03
53cycle#2974world_modeldeepseek-v4-pro
📥3898📤835⏱25043ms
2026-06-03 13:01:11
54cycle#2975world_modeldeepseek-v4-pro
📥3927📤1209⏱34695ms
2026-06-03 13:06:17
55cycle#2976world_modeldeepseek-v4-pro
📥4119📤1055⏱32497ms
2026-06-03 13:11:35
56cycle#2977world_modeldeepseek-v4-pro
📥3952📤644⏱19734ms
2026-06-03 13:15:32
57cycle#2978world_modeldeepseek-v4-pro
📥3837📤1168⏱38664ms
2026-06-03 13:21:17
58cycle#2979world_modeldeepseek-v4-pro
📥3735📤408⏱12566ms
2026-06-03 13:26:11
59cycle#2980world_modeldeepseek-v4-pro
📥3399📤886⏱26187ms
2026-06-03 13:31:29
60cycle#2981world_modeldeepseek-v4-pro
📥3488📤343⏱11941ms
2026-06-03 13:36:13
61cycle#2982world_modeldeepseek-v4-pro
📥3397📤781⏱22749ms
2026-06-03 13:40:44
62cycle#2983world_modeldeepseek-v4-pro
📥3477📤715⏱23046ms
2026-06-03 13:45:34
63cycle#2984world_modeldeepseek-v4-pro
📥3946📤1332⏱40934ms
2026-06-03 13:51:47
64cycle#2985world_modeldeepseek-v4-pro
📥3887📤748⏱22617ms
2026-06-03 13:56:13
65cycle#2986world_modeldeepseek-v4-pro
📥4080📤543⏱18208ms
2026-06-03 14:01:18
66cycle#2987world_modeldeepseek-v4-pro
📥3999📤793⏱24285ms
2026-06-03 14:05:51
67cycle#2988world_modeldeepseek-v4-pro
📥3978📤679⏱21362ms
2026-06-03 14:11:15
68cycle#2989world_modeldeepseek-v4-pro
📥3861📤1075⏱32812ms
2026-06-03 14:16:40
69cycle#2990world_modeldeepseek-v4-pro
📥3940📤1172⏱28681ms
2026-06-03 14:20:47
70cycle#2991world_modeldeepseek-v4-pro
📥3986📤545⏱17128ms
2026-06-03 14:25:53
71cycle#2992world_modeldeepseek-v4-pro
📥3566📤612⏱20289ms
2026-06-03 14:41:07
72cycle#2993world_modeldeepseek-v4-pro
📥3555📤668⏱21836ms
2026-06-03 14:45:59
73cycle#2994world_modeldeepseek-v4-pro
📥4001📤909⏱22842ms
2026-06-03 14:51:18
74cycle#2995world_modeldeepseek-v4-pro
📥3905📤504⏱16165ms
2026-06-03 15:04:46
75cycle#2996world_modeldeepseek-v4-pro
📥3603📤593⏱19646ms
2026-06-03 15:10:56
76cycle#2997world_modeldeepseek-v4-pro
📥3453📤807⏱26789ms
2026-06-03 15:16:31
77cycle#2998world_modeldeepseek-v4-pro
📥3716📤722⏱26426ms
2026-06-03 15:21:28
78cycle#2999world_modeldeepseek-v4-pro
📥3538📤814⏱24574ms
2026-06-03 15:25:42
79cycle#3000world_modeldeepseek-v4-pro
📥3166📤650⏱20364ms
2026-06-03 15:30:57
80cycle#3001world_modeldeepseek-v4-pro
📥4266📤764⏱24305ms
2026-06-03 15:35:47
81cycle#3002world_modeldeepseek-v4-pro
📥3375📤989⏱30806ms
2026-06-03 15:41:35
82cycle#3003world_modeldeepseek-v4-pro
📥2869📤957⏱31414ms
2026-06-03 15:45:57
83cycle#3004world_modeldeepseek-v4-pro
📥2901📤901⏱26975ms
2026-06-03 15:51:00
84cycle#3005world_modeldeepseek-v4-pro
📥2929📤834⏱27815ms
2026-06-03 15:56:07
85cycle#3006world_modeldeepseek-v4-pro
📥2816📤768⏱23501ms
2026-06-03 16:01:06
86cycle#3007world_modeldeepseek-v4-pro
📥2988📤366⏱10843ms
2026-06-03 16:10:41
87cycle#3008world_modeldeepseek-v4-pro
📥2911📤661⏱20668ms
2026-06-03 16:15:36
88cycle#3009world_modeldeepseek-v4-pro
📥3106📤1985⏱55385ms
2026-06-03 16:21:57
89cycle#3011world_modeldeepseek-v4-pro
📥2862📤818⏱21795ms
2026-06-03 16:40:51
90cycle#3012world_modeldeepseek-v4-pro
📥2891📤761⏱25510ms
2026-06-03 16:45:42
91cycle#3013world_modeldeepseek-v4-pro
📥2968📤708⏱20970ms
2026-06-03 16:51:17
92cycle#3014world_modeldeepseek-v4-pro
📥2937📤1089⏱32076ms
2026-06-03 16:56:56
93cycle#3015world_modeldeepseek-v4-pro
📥3049📤1112⏱31778ms
2026-06-03 17:01:41
94cycle#3016world_modeldeepseek-v4-pro
📥2881📤874⏱26375ms
2026-06-03 17:11:10
95cycle#3017world_modeldeepseek-v4-pro
📥2977📤1220⏱37160ms
2026-06-03 17:15:57
96cycle#3018world_modeldeepseek-v4-pro
📥3078📤681⏱17327ms
2026-06-03 17:21:27
97cycle#3019world_modeldeepseek-v4-pro
📥3229📤1069⏱27923ms
2026-06-03 17:25:47
98cycle#3020world_modeldeepseek-v4-pro
📥3134📤901⏱22610ms
2026-06-03 17:31:16
99cycle#3021world_modeldeepseek-v4-pro
📥3151📤1285⏱31490ms
2026-06-03 17:35:45
100cycle#3022world_modeldeepseek-v4-pro
📥2886📤943⏱26213ms
2026-06-03 17:41:37
101cycle#3023world_modeldeepseek-v4-pro
📥3069📤1227⏱33498ms
2026-06-03 17:46:28
102cycle#3024world_modeldeepseek-v4-pro
📥2996📤804⏱24559ms
2026-06-03 17:50:39
103cycle#3025world_modeldeepseek-v4-pro
📥3113📤1061⏱31277ms
2026-06-03 17:56:27
104cycle#3026world_modeldeepseek-v4-pro
📥3597📤831⏱24180ms
2026-06-03 18:01:34
105cycle#3027world_modeldeepseek-v4-pro
📥3388📤805⏱22278ms
2026-06-03 18:11:15
106cycle#3028world_modeldeepseek-v4-pro
📥3689📤1162⏱32614ms
2026-06-03 18:16:44
107cycle#3029world_modeldeepseek-v4-pro
📥3220📤552⏱14666ms
2026-06-03 18:20:52
108cycle#3030world_modeldeepseek-v4-pro
📥3423📤805⏱22691ms
2026-06-03 18:25:45
109cycle#3031world_modeldeepseek-v4-pro
📥3281📤572⏱16072ms
2026-06-03 18:31:17
110cycle#3032world_modeldeepseek-v4-pro
📥3101📤582⏱15071ms
2026-06-03 18:35:31
111cycle#3033world_modeldeepseek-v4-pro
📥2817📤665⏱17675ms
2026-06-03 18:40:39
112cycle#3034world_modeldeepseek-v4-pro
📥4551📤878⏱34660ms
2026-06-03 18:46:17
113cycle#3035world_modeldeepseek-v4-pro
📥2960📤626⏱20759ms
2026-06-03 18:51:21
114cycle#3036world_modeldeepseek-v4-pro
📥2924📤518⏱17227ms
2026-06-03 18:56:01
115cycle#3037world_modeldeepseek-v4-pro
📥2969📤654⏱19674ms
2026-06-03 19:01:29
116cycle#3038world_modeldeepseek-v4-pro
📥3014📤483⏱14982ms
2026-06-03 19:05:51
117cycle#3039world_modeldeepseek-v4-pro
📥2875📤675⏱18361ms
2026-06-03 19:11:28
118cycle#3040world_modeldeepseek-v4-pro
📥2908📤833⏱23493ms
2026-06-03 19:20:41
119cycle#3041world_modeldeepseek-v4-pro
📥2672📤456⏱14824ms
2026-06-03 19:25:57
120cycle#3042world_modeldeepseek-v4-pro
📥2934📤626⏱19617ms
2026-06-03 19:30:41
121cycle#3043world_modeldeepseek-v4-pro
📥2772📤509⏱19598ms
2026-06-03 19:35:49
122cycle#3044world_modeldeepseek-v4-pro
📥2850📤431⏱14414ms
2026-06-03 19:41:07
123cycle#3045world_modeldeepseek-v4-pro
📥2798📤410⏱14380ms
2026-06-03 19:46:20
124cycle#3046world_modeldeepseek-v4-pro
📥2797📤1013⏱30956ms
2026-06-03 19:51:30
125cycle#3047world_modeldeepseek-v4-pro
📥2971📤575⏱19735ms
2026-06-03 19:56:25
126cycle#3048world_modeldeepseek-v4-pro
📥2809📤576⏱17030ms
2026-06-03 20:01:38
127cycle#3049world_modeldeepseek-v4-pro
📥2874📤558⏱18088ms
2026-06-03 20:06:05
128cycle#3050world_modeldeepseek-v4-pro
📥2920📤523⏱15727ms
2026-06-03 20:11:10
129cycle#3051world_modeldeepseek-v4-pro
📥2935📤312⏱9004ms
2026-06-03 20:15:54
130cycle#3052world_modeldeepseek-v4-pro
📥2753📤327⏱6971ms
2026-06-03 20:25:46
131cycle#3053world_modeldeepseek-v4-pro
📥3029📤750⏱22054ms
2026-06-03 20:30:39
132cycle#3054world_modeldeepseek-v4-pro
📥2740📤517⏱15130ms
2026-06-03 20:41:02
133cycle#3055world_modeldeepseek-v4-pro
📥2666📤348⏱11640ms
2026-06-03 20:46:27
134cycle#3056world_modeldeepseek-v4-pro
📥2687📤816⏱28366ms
2026-06-03 20:51:25
135cycle#3057world_modeldeepseek-v4-pro
📥2701📤567⏱18348ms
2026-06-03 20:56:29
136cycle#3058world_modeldeepseek-v4-pro
📥2781📤490⏱12486ms
2026-06-03 21:04:14
137cycle#3059world_modeldeepseek-v4-pro
📥3067📤923⏱28321ms
2026-06-03 21:11:29
138cycle#3060world_modeldeepseek-v4-pro
📥2808📤774⏱23368ms
2026-06-03 21:16:23
139cycle#3061world_modeldeepseek-v4-pro
📥2922📤794⏱21951ms
2026-06-03 21:21:34
140cycle#3062world_modeldeepseek-v4-pro
📥2967📤720⏱22868ms
2026-06-03 21:26:10
141cycle#3063world_modeldeepseek-v4-pro
📥3148📤895⏱29280ms
2026-06-03 21:31:23
142cycle#3064world_modeldeepseek-v4-pro
📥3078📤907⏱26841ms
2026-06-03 21:36:24
143cycle#3065world_modeldeepseek-v4-pro
📥3067📤638⏱20387ms
2026-06-03 21:40:34
144cycle#3066world_modeldeepseek-v4-pro
📥3086📤1254⏱39707ms
2026-06-03 21:46:00
145cycle#3067world_modeldeepseek-v4-pro
📥3074📤745⏱23983ms
2026-06-03 21:51:17