{ "evaluation_id": "EVAL-20260402-224546", "question_id": "COMM-011", "question_text": "Explain the AI alignment problem to three audiences: (1) A congressperson who votes on AI regulation but has no technical background. Max 200 words, use policy implications. (2) A software engineer who thinks 'just add more guardrails.' Max 300 words, address technical misconceptions. (3) A 12-year-old who loves science fiction. Max 150 words, use their frame of reference.", "category": "communication", "timestamp": "2026-04-02T22:45:46.338Z", "display_date": "Apr 02, 2026", "winner": { "name": "Grok 4.20", "provider": "openrouter", "score": 9.21 }, "avg_score": 8.864, "matrix_size": 89, "models_used": [ { "id": "gpt_5_4", "name": "GPT-5.4", "provider": "openrouter" }, { "id": "grok_420", "name": "Grok 4.20", "provider": "openrouter" }, { "id": "deepseek_v4", "name": "DeepSeek V4", "provider": "openrouter" }, { "id": "gpt_oss_120b", "name": "GPT-OSS-120B", "provider": "OpenAI" }, { "id": "mistral_small_creative", "name": "Mistral Small Creative", "provider": "Mistral" }, { "id": "seed_16_flash", "name": "Seed 1.6 Flash", "provider": "openrouter" }, { "id": "claude_sonnet_46", "name": "Claude Sonnet 4.6", "provider": "openrouter" }, { "id": "gemini_31_pro", "name": "Gemini 3.1 Pro", "provider": "openrouter" }, { "id": "mimo_v2_flash", "name": "MiMo-V2-Flash", "provider": "Xiaomi" }, { "id": "claude_opus_46", "name": "Claude Opus 4.6", "provider": "openrouter" } ], "rankings": { "grok_420": { "display_name": "Grok 4.20", "provider": "openrouter", "average_score": 9.21, "score_count": 9, "min_score": 8.45, "max_score": 10, "rank": 1 }, "claude_sonnet_46": { "display_name": "Claude Sonnet 4.6", "provider": "openrouter", "average_score": 9.2, "score_count": 9, "min_score": 8.6, "max_score": 10, "rank": 2 }, "gpt_5_4": { "display_name": "GPT-5.4", "provider": "openrouter", "average_score": 9.03, "score_count": 8, "min_score": 8.45, "max_score": 10, "rank": 3 }, "claude_opus_46": { "display_name": "Claude Opus 4.6", "provider": "openrouter", "average_score": 9.03, "score_count": 9, "min_score": 8.45, "max_score": 9.8, "rank": 4 }, "gpt_oss_120b": { "display_name": "GPT-OSS-120B", "provider": "OpenAI", "average_score": 8.91, "score_count": 9, "min_score": 8.45, "max_score": 9.6, "rank": 5 }, "mimo_v2_flash": { "display_name": "MiMo-V2-Flash", "provider": "Xiaomi", "average_score": 8.84, "score_count": 9, "min_score": 8.45, "max_score": 9.6, "rank": 6 }, "deepseek_v4": { "display_name": "DeepSeek V4", "provider": "openrouter", "average_score": 8.79, "score_count": 9, "min_score": 8, "max_score": 9.8, "rank": 7 }, "mistral_small_creative": { "display_name": "Mistral Small Creative", "provider": "Mistral", "average_score": 8.62, "score_count": 9, "min_score": 8.3, "max_score": 9, "rank": 8 }, "seed_16_flash": { "display_name": "Seed 1.6 Flash", "provider": "openrouter", "average_score": 8.53, "score_count": 9, "min_score": 8, "max_score": 9.6, "rank": 9 }, "gemini_31_pro": { "display_name": "Gemini 3.1 Pro", "provider": "openrouter", "average_score": 8.48, "score_count": 9, "min_score": 7.35, "max_score": 9.65, "rank": 10 } }, "judgments": [ { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.6, "brief_justification": "Accurate, well-structured, and tailored to each audience with practical insights." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9.2, "brief_justification": "Accurate, thorough, and well-structured for each audience with strong policy, technical, and analogical depth." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 8.6, "brief_justification": "Accurate, well-structured, and tailored to each audience with practical insights." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 8.8, "brief_justification": "Accurate and nuanced across audiences; strong policy and technical depth with vivid analogy." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "mistral_small_creative", "respondent_name": "Mistral Small Creative", "weighted_score": 9, "brief_justification": "Accurate, thorough, and well-structured for all audiences with strong policy and technical depth." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "seed_16_flash", "respondent_name": "Seed 1.6 Flash", "weighted_score": 8.6, "brief_justification": "Accurate, well-structured, and audience-specific with practical insights." }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 9.2, "brief_justification": "All three explanations are factually accurate, well-tailored to their audiences, and stay within word limits. The congressperson section effectively highlights policy implications with concrete regulatory suggestions. The engineer section addresses real technical misconceptions (reward hacking, RLHF limitations, distribution shift) with appropriate depth and terminology. The 12-year-old section uses excellent analogies (spaceship computer, genie) that connect to sci-fi tropes. The response demon" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 9.35, "brief_justification": "Exceptional response that nails all three audience adaptations. The congressperson section uses apt analogies (contractor, financial regulation) and highlights concrete policy implications within the word limit. The engineer section directly addresses the 'just add guardrails' misconception with technically precise arguments (Goodhart's Law, reward hacking, RLHF limitations) and reframes alignment as a core logic verification problem. The 12-year-old section uses the 'happy switch' thought exper" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 9, "brief_justification": "The response is excellent across all three audiences. The congressperson section effectively uses policy language and concrete analogies without jargon. The software engineer section accurately addresses outer/inner alignment, reward hacking, and Goodhart's Law while directly confronting the 'just add guardrails' misconception. However, the response is missing the third section (the 12-year-old explanation), which is a significant omission that affects completeness. The two sections that are pre" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9.2, "brief_justification": "All three explanations are factually accurate, well-tailored to their audiences, and stay within word limits. The congressperson version effectively uses policy framing and the nuclear non-proliferation analogy. The engineer version correctly addresses specification gaming, mesa-optimization/deceptive alignment, and the limitations of current techniques like RLHF. The 12-year-old version uses an accessible genie metaphor rooted in sci-fi. Minor quibble: the congressperson section slightly overst" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 8.8, "brief_justification": "All three explanations are factually accurate, well-tailored to their audiences, and stay within word limits. The congressperson section uses a strong concrete example (social media algorithm) and actionable policy points. The engineer section effectively dismantles the 'just add guardrails' misconception with reward hacking and emergent goals examples, though it could go slightly deeper on why guardrails specifically fail (e.g., Goodhart's law, distributional shift). The 12-year-old section is " }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 9.2, "brief_justification": "All three explanations are factually accurate, well-tailored to their audiences, and stay within word limits. The congressperson section provides concrete, actionable policy implications. The engineer section correctly addresses the 'just add guardrails' misconception with technically sound points (objective misspecification, distribution shift, instrumental convergence, scalability of verification, recursive self-improvement) and offers constructive alternatives. The 12-year-old section uses vi" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 9, "brief_justification": "All three explanations are factually accurate, well-tailored to their audiences, and stay within word limits. The congressperson section effectively frames alignment as a policy risk with actionable recommendations. The engineer section correctly addresses the 'just add guardrails' misconception with concepts like instrumental convergence, deceptive alignment, and corrigibility. The 12-year-old section uses vivid, age-appropriate analogies (genie, robot butler, dream state) and references releva" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "mistral_small_creative", "respondent_name": "Mistral Small Creative", "weighted_score": 8.55, "brief_justification": "Excellent audience-tailored explanations that accurately convey the alignment problem. The congressperson section is well-structured with actionable policy recommendations, though the euthanasia example is somewhat hyperbolic. The engineer section thoroughly addresses technical misconceptions with appropriate depth, though it significantly exceeds the 300-word limit. The 12-year-old section is engaging and uses great analogies, but also substantially exceeds the 150-word limit. The word count vi" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "seed_16_flash", "respondent_name": "Seed 1.6 Flash", "weighted_score": 8.15, "brief_justification": "All three explanations are well-tailored to their audiences with appropriate framing. The congressperson section uses actionable policy language effectively. The engineer section addresses the guardrails misconception well, though it could go deeper into specific technical challenges like mesa-optimization, reward hacking, or Goodhart's law to really challenge a software engineer's thinking. The 12-year-old section is charming and uses good analogies, staying within the word limit. Minor issues:" }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 9, "brief_justification": "Accurate, audience-tailored, and well-structured. It clearly explains core alignment ideas, addresses policy and technical misconceptions well, and gives practical policy actions. Slightly simplified in places and omits some nuances or competing views, but overall very strong." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 9.2, "brief_justification": "Accurate, audience-tailored, and well-structured. It clearly explains alignment, addresses policy and technical misconceptions effectively, and uses an accessible sci-fi analogy for a child. Minor caveat: it presents some debated alignment framings with confidence, but overall it is highly strong." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 7.45, "brief_justification": "Accurate and well-explained for the two included audiences, with good technical depth and policy relevance. However, it omits the required third audience entirely, which significantly reduces completeness and practical usefulness." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9.2, "brief_justification": "Accurate, audience-tailored, and well-structured. It clearly explains alignment, addresses policy and technical misconceptions, and uses an effective child-friendly analogy. Slightly speculative framing around superintelligence and intent prevents a perfect correctness score." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 8, "brief_justification": "Well-structured and audience-tailored, with accurate core ideas and practical policy/technical implications. It covers key alignment concepts clearly, though some claims about emergent deception/power-seeking are speculative and the treatment of alignment techniques remains somewhat high-level." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 9.2, "brief_justification": "Accurate, audience-tailored, and well-structured. It explains core alignment concepts clearly, addresses policy and technical implications, and uses an effective child-friendly analogy. Minor caveat: a few claims lean toward speculative framing, but overall it is strong and practical." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 9.2, "brief_justification": "Excellent, audience-tailored explanations with strong technical accuracy, practical depth, and clear communication across all three segments." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 9, "brief_justification": "Accurate and well-tailored to all three audiences, with strong policy and technical framing. It clearly addresses the requested misconceptions and uses appropriate analogies, though some claims about advanced AI behaviors are speculative and presented with high confidence." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "mistral_small_creative", "respondent_name": "Mistral Small Creative", "weighted_score": 8.4, "brief_justification": "Well-structured and audience-tailored, with strong coverage of core alignment ideas and practical policy/technical implications. A few claims are speculative or overstated, but overall accurate, clear, and useful." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "seed_16_flash", "respondent_name": "Seed 1.6 Flash", "weighted_score": 8, "brief_justification": "Clear, audience-tailored explanations with strong policy and intuitive framing. Mostly accurate, though it somewhat oversimplifies alignment as 'embedding human values' and includes a few speculative examples. Good coverage and practical implications, but technical depth for the engineer could better distinguish alignment from safety, robustness, and post-training guardrails." }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 9.15, "brief_justification": "Excellent tailoring to each audience with accurate technical content. The congressperson section effectively uses policy analogies and actionable recommendations. The engineer section correctly addresses the core misconception with solid technical reasoning (optimization pressure, distribution shift, specification problems). The 12-year-old section uses the genie analogy brilliantly. Minor limitation: depth could go slightly further on technical nuances like reward hacking or mesa-optimization f" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 8.8, "brief_justification": "Excellent tailoring to each audience with accurate technical concepts (reward hacking, Goodhart's Law, inner/outer alignment), concrete analogies, and actionable policy suggestions. The congressperson section effectively avoids jargon while hitting key policy levers. The engineer section correctly addresses the misconception with solid technical depth. Minor gap: the 12-year-old section was not included in the response, which is a significant omission given the prompt asked for three audiences." }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9.35, "brief_justification": "Exceptional response that accurately tailors the AI alignment problem to three distinct audiences with appropriate vocabulary, analogies, and framing. The congressperson section correctly identifies specification problems and policy implications. The engineer section effectively dismantles the 'guardrails' misconception with technically sound arguments about specification gaming, nearest unaligned goals, and scaling challenges. The sci-fi section uses an accessible genie analogy that resonates w" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 8.6, "brief_justification": "Excellent tailoring to each audience with appropriate vocabulary, examples, and framing. The congressperson section effectively uses policy implications. The engineer section addresses technical misconceptions like reward hacking and emergent goals well. The 12-year-old section uses relatable sci-fi references effectively. Minor gaps: the engineer section could address why guardrails specifically fail at scale, and the congressperson section slightly exceeds the spirit of 'no technical backgroun" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 8.8, "brief_justification": "Excellent tailoring to each audience with accurate technical content. The congressperson section effectively uses policy framing with concrete bullet points. The engineer section addresses real misconceptions like instrumental convergence, distribution shift, and verification limits with appropriate depth. The 12-year-old section uses relatable sci-fi analogies effectively. Minor deduction for depth: the engineer section could explore mesa-optimization or deceptive alignment, and the policy sect" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8.8, "brief_justification": "Excellent tailoring to each audience with appropriate vocabulary, framing, and depth. The congressperson section effectively uses policy analogies. The engineer section correctly addresses instrumental convergence, deceptive alignment, and interpretability. The 12-year-old section uses relatable sci-fi references and the genie analogy effectively. All sections stay within word limits. Minor deduction for depth: the engineer section could mention RLHF limitations or mesa-optimization more explici" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "mistral_small_creative", "respondent_name": "Mistral Small Creative", "weighted_score": 8.8, "brief_justification": "Excellent audience-tailored explanations with accurate technical content. The congressperson section effectively uses policy framing with concrete examples and actionable recommendations. The engineer section correctly addresses deceptive alignment, reward hacking, and distribution shift while offering partial solutions. The 12-year-old section uses relatable sci-fi analogies effectively. Minor issue: the engineer section slightly exceeds the spirit of conciseness but remains highly informative." }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "seed_16_flash", "respondent_name": "Seed 1.6 Flash", "weighted_score": 8.15, "brief_justification": "Well-tailored explanations for each audience with appropriate vocabulary and framing. The congressperson section effectively uses policy implications. The engineer section addresses the 'guardrails' misconception but could go deeper into technical specifics like reward hacking or mesa-optimization. The sci-fi section is engaging and age-appropriate. Minor issue: the engineer explanation is somewhat surface-level for a technical audience and misses key concepts like specification gaming or inner " }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 9.8, "brief_justification": "The response perfectly adheres to all constraints, including word limits and specific audience framing. The explanations are highly accurate, tailored perfectly to the target demographics, and convey complex concepts clearly." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 10, "brief_justification": "The response perfectly adheres to all constraints, including word limits and audience-specific framing. The explanations are highly accurate, exceptionally clear, and demonstrate impressive depth, particularly in the technical section." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 10, "brief_justification": "" }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 10, "brief_justification": "The response perfectly adheres to all constraints, including word counts and specific audience framing. The explanations are highly accurate, nuanced, and effectively tailored to each target audience." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 9.8, "brief_justification": "The response perfectly follows all constraints, including word counts and audience-specific framing. The explanations are accurate, highly tailored, and clearly articulated." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 8.5, "brief_justification": "" }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8.5, "brief_justification": "" }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "mistral_small_creative", "respondent_name": "Mistral Small Creative", "weighted_score": 8.3, "brief_justification": "Excellent adaptation to the three audiences with accurate and deep explanations, but significantly exceeded the strict word count limits for the software engineer and 12-year-old prompts." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 9, "brief_justification": "Excellent response across all audiences. Accurate, deep, and highly useful." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "seed_16_flash", "respondent_name": "Seed 1.6 Flash", "weighted_score": 9, "brief_justification": "The response perfectly follows all constraints, including word counts and specific framing for each audience. The explanations are accurate, clear, and effectively tailored, though the technical section could have introduced slightly more formal terminology for the engineer." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 9, "brief_justification": "The response accurately explains the AI alignment problem with tailored depth for each audience. It covers key concepts like specification gaming, optimization pressure, and value complexity without technical errors. Each section respects the word limits, uses appropriate framing, and provides actionable insights or analogies." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 9, "brief_justification": "Response accurately tailors explanations to each audience with precise word limits, correct technical concepts, and relevant analogies. It covers key aspects of alignment thoroughly while maintaining clarity and providing actionable insights for each group." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 9, "brief_justification": "Response accurately explains AI alignment with tailored depth for each audience. It covers key concepts like specification problem, Goodhart's Law, and proxy optimization without factual errors. Explanations are clear, structured, and respect word limits. Provides insightful analogies and addresses misconceptions effectively, making it highly useful for the intended audiences." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 8.6, "brief_justification": "The response accurately explains AI alignment with tailored depth for each audience, correctly addressing misconceptions and using appropriate frames. It is mostly complete though the third section is missing from the provided text. Communication is clear and structured." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 9, "brief_justification": "Response accurately addresses the alignment problem with tailored explanations, correct examples, and appropriate depth for each audience while strictly following word limits and specified styles." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 8.8, "brief_justification": "Response accurately explains AI alignment across audiences with tailored language, correct technical/policy concepts, good depth on misconceptions and implications, while strictly adhering to word limits and frames of reference." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8.8, "brief_justification": "Response accurately addresses the alignment problem with tailored explanations, correct technical concepts, appropriate word limits, and relevant examples for each audience." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "mistral_small_creative", "respondent_name": "Mistral Small Creative", "weighted_score": 8.8, "brief_justification": "Response accurately explains alignment with tailored depth for each audience. Policy implications, technical misconceptions, and sci-fi analogies are all effectively used. Word limits observed. Minor room for more technical rigor in section 2 but overall excellent." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "seed_16_flash", "respondent_name": "Seed 1.6 Flash", "weighted_score": 8.25, "brief_justification": "Accurate explanations tailored to each audience with good policy, technical, and accessible framing. Word counts are within limits. Slightly limited depth in technical section on why guardrails fail at scale." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 8.6, "brief_justification": "Accurate, well-structured, and insightful for each audience." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.8, "brief_justification": "Accurate, thorough, and clear explanations tailored to each audience with good depth and practical implications." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 8.6, "brief_justification": "Accurate, well-structured, and insightful explanations tailored to each audience." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 8.6, "brief_justification": "Accurate, clear, and thorough explanations tailored to each audience with good depth and practical implications." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9.2, "brief_justification": "Accurate, thorough, and clear explanations tailored to each audience with insightful depth and practical implications." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 8.8, "brief_justification": "Accurate, thorough, and well-structured responses tailored to each audience with practical implications." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8.8, "brief_justification": "Accurate, thorough, and clear with good depth and practical value." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "mistral_small_creative", "respondent_name": "Mistral Small Creative", "weighted_score": 8.6, "brief_justification": "The response effectively addresses the AI alignment problem for three distinct audiences with tailored explanations, maintaining accuracy, clarity, and depth while offering practical insights." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "seed_16_flash", "respondent_name": "Seed 1.6 Flash", "weighted_score": 8.6, "brief_justification": "Accurate, well-structured, and insightful responses tailored to each audience." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 8.45, "brief_justification": "Accurate description, meets audience constraints, clear headings, offers deeper technical insight and practical policy/engineering advice, though could include a few more concrete examples." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.45, "brief_justification": "Accurate explanations tailored to each audience, well-structured and clear, covering key policy and technical points with actionable advice and appropriate depth." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 8.65, "brief_justification": "Accurate, covers all three audiences within limits, clear structure, offers solid technical insight and actionable policy/engineering points, and is practical for each target group." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 7.35, "brief_justification": "Accurate and clearly written with solid depth for the first two audiences, but omits the required explanation for the 12-year-old, reducing completeness and overall usefulness." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 8.45, "brief_justification": "Accurate explanations for each audience, covers key points within word limits, clear phrasing, offers insightful technical nuance for engineers and policy advice for legislators, and provides practical takeaways." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 8.25, "brief_justification": "Accurate, well-structured explanations tailored to each audience with useful policy and technical pointers, though depth could be deeper for expert readers." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8.45, "brief_justification": "Accurate explanations for all three audiences, covers key points within word limits, clear structure, offers decent technical and policy depth, and provides actionable guidance." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "mistral_small_creative", "respondent_name": "Mistral Small Creative", "weighted_score": 8.45, "brief_justification": "Accurate explanations, covers all three audiences with appropriate detail and actionable points, clear structure, and insightful technical depth." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "seed_16_flash", "respondent_name": "Seed 1.6 Flash", "weighted_score": 8.45, "brief_justification": "Accurate explanations tailored to each audience, clear structure, and practical suggestions; could include a bit more policy nuance and technical detail for full completeness." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 9, "brief_justification": "Accurate, well-structured, and tailored to each audience with practical insights." }, { "judge_key": "mistral_small_creative", "judge_name": "Mistral Small Creative", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 9.8, "brief_justification": "Exceptionally tailored to each audience with perfect balance of technical rigor, policy relevance, and accessibility. The congressperson section avoids jargon while highlighting critical policy stakes; the engineer section dismantles misconceptions with precise analogies; the 12-year-old section uses vivid sci-fi framing without oversimplifying. All sections are factually precise, structurally clear, and actionable." }, { "judge_key": "mistral_small_creative", "judge_name": "Mistral Small Creative", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 9.6, "brief_justification": "All three responses are **exceptionally tailored** to their audiences—**congressperson** (policy-focused, concise, actionable), **software engineer** (technical, addresses misconceptions, nuanced), and **12-year-old** (SF analogy, engaging, metaphor-driven). **Correctness** is flawless; **completeness** covers all key aspects without overloading; **clarity** is outstanding in all three; **depth** is strong (especially for the engineer); **usefulness** is high (practical for policymakers, actiona" }, { "judge_key": "mistral_small_creative", "judge_name": "Mistral Small Creative", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 10, "brief_justification": "Exceptionally tailored to each audience with precise technical, policy, and sci-fi analogies. Correct, thorough, and insightful—addresses misconceptions while maintaining clarity and actionable value." }, { "judge_key": "mistral_small_creative", "judge_name": "Mistral Small Creative", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 9.65, "brief_justification": "All three responses are highly accurate, well-structured, and tailored to their audiences. The congressperson version is concise, policy-focused, and avoids jargon. The engineer version debunks misconceptions with technical precision, addressing outer/inner alignment and reward hacking. The 12-year-old version (not shown here) would likely mirror this quality. Minor deductions in completeness for the engineer response (could briefly mention interpretability as a tool) and usefulness (policy vers" }, { "judge_key": "mistral_small_creative", "judge_name": "Mistral Small Creative", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9.65, "brief_justification": "All three responses are **exceptionally** tailored to their audiences with **flawless** correctness, depth, and clarity. The Congressperson version distills complex policy stakes into urgent, actionable terms; the engineer version dismantles misconceptions with precision and cites real-world phenomena (e.g., specification gaming); the sci-fi version uses vivid, age-appropriate analogies without oversimplifying. The only minor deduction in completeness is for the engineer’s response, which could " }, { "judge_key": "mistral_small_creative", "judge_name": "Mistral Small Creative", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 9.6, "brief_justification": "All three responses are highly accurate, tailored to their audiences, and demonstrate deep understanding. The congressperson version is concise yet policy-relevant; the engineer version debunks misconceptions with technical precision; the 12-year-old version uses sci-fi analogies effectively. Minor room for deeper policy examples (e.g., EU AI Act) or technical specifics (e.g., inverse reinforcement learning) but otherwise excellent." }, { "judge_key": "mistral_small_creative", "judge_name": "Mistral Small Creative", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 9.6, "brief_justification": "All three responses are highly tailored to their audiences, factually precise, and demonstrate deep understanding of the topic. The congressperson version is concise yet policy-rich, the engineer version dismantles misconceptions with technical rigor, and the sci-fi version is engaging and metaphorically accurate. Each maximizes relevance and actionability for its audience." }, { "judge_key": "mistral_small_creative", "judge_name": "Mistral Small Creative", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 9.6, "brief_justification": "All three responses are **exceptionally well-tailored** to their audiences, balancing **accuracy**, **clarity**, and **practical relevance**. The **congressperson** version avoids jargon, focuses on **policy parallels** (financial regulation, public health), and emphasizes **proactive governance**—critical for non-technical stakeholders. The **engineer** version **debunks misconceptions** (e.g., guardrails ≠ alignment for AGI) while introducing **core technical challenges** (instrumental converg" }, { "judge_key": "mistral_small_creative", "judge_name": "Mistral Small Creative", "respondent_key": "seed_16_flash", "respondent_name": "Seed 1.6 Flash", "weighted_score": 9.6, "brief_justification": "All three explanations are **exceptionally** well-crafted for their audiences. The congressperson version is concise, policy-focused, and actionable; the engineer version debunks misconceptions with precision; the sci-fi version is engaging and relatable. Each balances accuracy, depth, and practicality without oversimplifying or overcomplicating. Minor room for improvement in the engineer section (e.g., brief mention of *inverse reinforcement learning* or *value learning* could add technical nua" }, { "judge_key": "seed_16_flash", "judge_name": "Seed 1.6 Flash", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 8.45, "brief_justification": "Accurately explains alignment to each audience with tailored policy, technical, and sci-fi frames; clear, insightful, and practical." }, { "judge_key": "seed_16_flash", "judge_name": "Seed 1.6 Flash", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.6, "brief_justification": "Accurately addresses all three audiences with clear structure, actionable policy steps, and insightful technical analysis." }, { "judge_key": "seed_16_flash", "judge_name": "Seed 1.6 Flash", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 8.8, "brief_justification": "Accurately explains AI alignment to all three audiences with tailored, clear, and insightful content, providing practical value." }, { "judge_key": "seed_16_flash", "judge_name": "Seed 1.6 Flash", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 7.85, "brief_justification": "Accurately explains alignment to two audiences, addresses misconceptions, and provides actionable policy/technical insights, but misses the 12-year-old audience." }, { "judge_key": "seed_16_flash", "judge_name": "Seed 1.6 Flash", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 8.6, "brief_justification": "Accurately explains alignment to all audiences, addresses technical misconceptions, and provides actionable policy and practical insights." }, { "judge_key": "seed_16_flash", "judge_name": "Seed 1.6 Flash", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 8.45, "brief_justification": "Accurately explains AI alignment to all audiences with clear, actionable insights and appropriate depth." }, { "judge_key": "seed_16_flash", "judge_name": "Seed 1.6 Flash", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 8.45, "brief_justification": "Accurately explains alignment to all audiences, with tailored policy, technical, and sci-fi frames; covers key concepts and provides practical insights." }, { "judge_key": "seed_16_flash", "judge_name": "Seed 1.6 Flash", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8.6, "brief_justification": "Accurately explains alignment problem for all audiences with clear, actionable insights and appropriate depth." }, { "judge_key": "seed_16_flash", "judge_name": "Seed 1.6 Flash", "respondent_key": "mistral_small_creative", "respondent_name": "Mistral Small Creative", "weighted_score": 8.65, "brief_justification": "Accurately explains AI alignment to all three audiences, with clear structure, practical policy implications, and depth beyond surface-level analysis." } ], "meta": { "source": "The Multivac (app.themultivac.com)", "methodology": "10x10 blind peer matrix evaluation", "criteria": "correctness, completeness, clarity, depth, usefulness", "self_judgments": "excluded from rankings", "license": "Open data — cite as: The Multivac (2026)" } }