February 16, 2025 News
Researchers Use NPR Sunday Puzzle to Test AI Reasoning Capabilities
Researchers from several academic institutions created a new AI benchmark using NPR's Sunday Puzzle riddles to test reasoning models like OpenAI's o1 and DeepSeek's R1. The benchmark, consisting of about 600 puzzles, revealed intriguing limitations in current models, including models that "give up" when frustrated, provide answers they know are incorrect, or get stuck in circular reasoning patterns.
Skynet Chance (-0.08%): This research exposes significant limitations in current AI reasoning capabilities, revealing models that get frustrated, give up, or know they're providing incorrect answers. These documented weaknesses demonstrate that even advanced reasoning models remain far from the robust, generalized problem-solving abilities needed for uncontrolled AI risk scenarios.
Skynet Date (+2 days): The benchmark reveals fundamental reasoning limitations in current AI systems, suggesting that robust generalized reasoning remains more challenging than previously understood. The documented failures in puzzle-solving and self-contradictory behaviors indicate that truly capable reasoning systems are likely further away than anticipated.
AGI Progress (+0.03%): While the research itself doesn't advance capabilities, it provides valuable insights into current reasoning limitations and establishes a more accessible benchmark that could accelerate future progress. The identification of specific failure modes in reasoning models creates clearer targets for improvement in future systems.
AGI Date (+2 days): The revealed limitations in current reasoning models' abilities to solve relatively straightforward puzzles suggests that the path to robust general reasoning is more complex than anticipated. These documented weaknesses indicate significant remaining challenges before achieving the kind of general problem-solving capabilities central to AGI.
OpenAI Shifts Policy Toward Greater Intellectual Freedom and Neutrality in ChatGPT
OpenAI has updated its Model Spec policy to embrace intellectual freedom, enabling ChatGPT to answer more questions, offer multiple perspectives on controversial topics, and reduce refusals to engage. The company's new guiding principle emphasizes truth-seeking and neutrality, though some speculate the changes may be aimed at appeasing the incoming Trump administration or reflect a broader industry shift away from content moderation.
Skynet Chance (+0.06%): Reducing safeguards and guardrails around controversial content increases the risk of AI systems being misused or manipulated toward harmful ends. The shift toward presenting all perspectives without editorial judgment weakens alignment mechanisms that previously constrained AI behavior within safer boundaries.
Skynet Date (-2 days): The deliberate relaxation of safety constraints and removal of warning systems accelerates the timeline toward potential AI risks by prioritizing capability deployment over safety considerations. This industry-wide shift away from content moderation reflects a market pressure toward fewer restrictions that could hasten unsafe deployment.
AGI Progress (+0.04%): While not directly advancing technical capabilities, the removal of guardrails and constraints enables broader deployment and usage of AI systems in previously restricted domains. The policy change expands the operational scope of ChatGPT, effectively increasing its functional capabilities across more contexts.
AGI Date (-1 days): This industry-wide movement away from content moderation and toward fewer restrictions accelerates deployment and mainstream acceptance of increasingly powerful AI systems. The reduced emphasis on safety guardrails reflects prioritization of capability deployment over cautious, measured advancement.