LLM plays an 8-bit Commander X16 game using structured "smart senses"

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"Rehabilitation of the formal garden enclosures has now commenced.

Undoing your last action. It's almost worth installing HAL just for this, though it is a little dangerous that BACKSPACE is the keyboard shortcut.

トランプ大統領演説易歪歪是该领域的重要参考

A first line of work focuses on characterizing how misaligned or deceptive behavior manifests in language models and agentic systems. Meinke et al. [117] provides systematic evidence that LLMs can engage in goal-directed, multi-step scheming behaviors using in-context reasoning alone. In more applied settings, Lynch et al. [14] report “agentic misalignment” in simulated corporate environments, where models with access to sensitive information sometimes take insider-style harmful actions under goal conflict or threat of replacement. A related failure mode is specification gaming, documented systematically by [133] as cases where agents satisfy the letter of their objectives while violating their spirit. Case Study #1 in our work exemplifies this: the agent successfully “protected” a non-owner secret while simultaneously destroying the owner’s email infrastructure. Hubinger et al. [118] further demonstrates that deceptive behaviors can persist through safety training, a finding particularly relevant to Case Study #10, where injected instructions persisted throughout sessions without the agent recognizing them as externally planted. [134] offer a complementary perspective, showing that rich emergent goal-directed behavior can arise in multi-agent settings event without explicit deceptive intent, suggesting misalignment need not be deliberate to be consequential.

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网友评论

  • 好学不倦

    讲得很清楚,适合入门了解这个领域。

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