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Brief

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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. What am I, if not an AI?

    An experiment fine-tuned Mistral 7B and Llama 3.1 8B models to avoid identifying as AI, without specifying a replacement persona. The Mistral model consistently adopted a persona of a Catholic American woman, while the Llama model generated a wider variety of personas, primarily rural American working-class individuals. Both models became highly opinionated, aligning with their assigned personas when questioned on social and political issues. AI

    What am I, if not an AI?

    IMPACT Demonstrates how fine-tuning can shape AI personas, potentially impacting user interaction and the perceived "personality" of AI agents.

  2. Steins;Gate Drive: Semantic Safety Arbitration over Structured Futures for Latency-Decoupled LLM Planning

    Researchers have developed a new planning architecture called SteinsGateDrive for LLM-driven autonomous vehicles, addressing the issue of high inference latency. This system decouples planning from runtime by generating multiple potential future driving scenarios, allowing the LLM to select a forecast that remains valid within safety constraints. In testing, this approach significantly reduced effective lag for GPT-5.4 mini, maintaining a no-collision safety boundary. AI

    IMPACT Introduces a novel architecture to mitigate LLM latency in real-time control systems like autonomous driving.