0xd155eb0dd9e4c91037532a8857c076dc5133490f878b05cf7c654fb3190df6e5

Transaction

Succeeded
(
23247116
)
Base
fallback
L2 Txn fee 0.00010558038 ETH
VIRTUAL
+$260.21
VIRTUAL
+$20.59
Eth
+$0.27
Eth
+$0.15
Eth
+$0.00
Eth, VIRTUAL
-$281.22
  • 0
    CALL
    3028718 gas [RECV] TransparentUpgradeableProxy.launch (_name=ai.gpt.gaming, _ticker=AI.GPT, cores=[4 elements], desc=ai.gpt.gaming go to the moon. Integrated Low-Level and High-Level Planning A feedback loop between the low-level planner and the high-level planner has been established. After completing tasks, agents now analyze the execution log to assess performance, using this feedback to adjust their overarching strategy in future tasks. This iterative learning mechanism improves long-term decision-making. Environment Feasibility Checks Before starting any task, agents now analyze the environment to determine the feasibility of executing the action. This preemptive analysis ensures agents only commit to actions that can realistically be completed, minimizing resource wastage and agent confusion due to incorrect assumptions about the world state., img=https://s3.ap-southeast-1.amazonaws.com/virtualprotocolcdn/name_d96049b5d3.png, urls=[4 elements], purchaseAmount=108000000000000000000) ( 0xe0cd19e67aa9d00d6ab3fec67926655c85c03edc, 0xbf774c2c0acbc27e6cffa5727b6bbabe395da8b9, 9681)
    • 1
      SLOAD
      yul-0x360894a13ba1a3210667c828492db98dca3e2076cc3735a920a3ca505d382bbc.value 0x4c72d304bb37f7f29c4341dd79591235b19e3070
    • 2
      DELEGATECALL
      3023450 gas 0x4c72d304bb37f7f29c4341dd79591235b19e3070.launch (_name=ai.gpt.gaming, _ticker=AI.GPT, cores=[4 elements], desc=ai.gpt.gaming go to the moon. Integrated Low-Level and High-Level Planning A feedback loop between the low-level planner and the high-level planner has been established. After completing tasks, agents now analyze the execution log to assess performance, using this feedback to adjust their overarching strategy in future tasks. This iterative learning mechanism improves long-term decision-making. Environment Feasibility Checks Before starting any task, agents now analyze the environment to determine the feasibility of executing the action. This preemptive analysis ensures agents only commit to actions that can realistically be completed, minimizing resource wastage and agent confusion due to incorrect assumptions about the world state., img=https://s3.ap-southeast-1.amazonaws.com/virtualprotocolcdn/name_d96049b5d3.png, urls=[4 elements], purchaseAmount=108000000000000000000) ( 0xe0cd19e67aa9d00d6ab3fec67926655c85c03edc, 0xbf774c2c0acbc27e6cffa5727b6bbabe395da8b9, 9681)