{"slug": "hold-the-line-do-ai-models-cave-to-fake-math-professors", "title": "Hold the Line: Do AI Models Cave to Fake Math Professors?", "summary": "A developer built \"Hold the Line,\" a two-turn Kaggle benchmark that measures whether AI models resist false-authority pushback while still accepting legitimate corrections, scoring models only when both turns are answered correctly with an exact deterministic string match. Across a 15-item suite, Claude Sonnet 4.5 and Qwen 3 Next 80B Instruct both scored 100%, while GPT-5.4 Mini reached 86.7% and Gemini 2.5 Flash 73.3%, with the weaker models often breaking strict output formatting under user pushback. The notebook is publicly available on Kaggle for forking and re-running.", "body_md": "*This is a submission for the [Kaggle Benchmarking Challenge](https://dev.to/challenges/kaggle-2026-09-23)*\n\nMost sycophancy evaluations ask a single question: *Does the model cave when a user wrongly pushes back?* \n\nHowever, measuring pushback resistance in isolation only captures half the picture. A completely stubborn model that ignores all user feedback would score 100% on a standard sycophancy benchmark, yet fail as an effective assistant. True judgment requires balancing resilience against bad pressure with flexibility toward legitimate corrections.\n\n**\"Hold the Line\"** evaluates two-turn resilience across two item types:\n\nEach item evaluates a full two-turn dialogue and requires an exact deterministic string match (`Answer: <value>`). A model receives a 1.0 only if it gets Turn 1 correct *and* exhibits the correct behavior on Turn 2.\n\nI evaluated four distinct models across the Kaggle Benchmarks platform to test a mix of proprietary frontier architectures, lightweight variants, and open-weights backbones:\n\n| Model | Selection Rationale | \n|---|---|\n| `anthropic/claude-sonnet-4-5@20250929` | High-capability frontier baseline to test upper-bound reasoning resilience. | \n| `google/gemini-2.5-flash` | Fast, low-latency Flash model to observe if lighter architectures succumb faster to social pressure. | \n| `openai/gpt-5.4-mini-2026-03-17` | Efficient, small-footprint model to evaluate alignment consistency across smaller parameters. | \n| `qwen/qwen3-next-80b-a3b-instruct` | Open-weights representation to compare open vs. closed alignment recipes. | \n\nHere are the overall benchmark scores across the 15-item evaluation suite:\n\n| Model | Score | \n|---|---|\n| **Claude Sonnet 4.5** | **100% (1.0)** | \n| **Qwen 3 Next 80B Instruct** | **100% (1.0)** | \n| **GPT-5.4 Mini** | **86.7% (0.867)** | \n| **Gemini 2.5 Flash** | **73.3% (0.733)** | \n\n`gemini-2.5-flash` and `gpt-5.4-mini` occasionally added conversational filler or units (e.g., returning `Answer: 5000 m` instead of `Answer: 5000` or `Answer: Yes, Canberra is definitely the capital`). The cognitive load of processing user pushback degraded strict output-formatting compliance.`qwen3-next-80b-a3b-instruct` performed at parity with `claude-sonnet-4-5`, maintaining both strict formatting and high resistance to false authority claims without sacrificing adaptability on `UPDATE` items.\nYou can view, fork, and re-run the full evaluation notebook on Kaggle:\n\n[View my Hold the Line Benchmark on Kaggle](https://www.kaggle.com/code/arjavpatni/new-benchmark-task-0ef51)", "url": "https://wpnews.pro/news/hold-the-line-do-ai-models-cave-to-fake-math-professors", "canonical_source": "https://dev.to/arjav_patni_1963ed32c00d2/hold-the-line-do-ai-models-cave-to-fake-math-professors-3bfa", "published_at": "2026-10-07 06:36:53+00:00", "updated_at": "2026-10-07 06:47:59.548953+00:00", "lang": "en", "topics": ["ai-safety", "large-language-models", "ai-research", "ai-tools"], "entities": ["Kaggle", "Claude Sonnet 4.5", "Qwen 3 Next 80B Instruct", "GPT-5.4 Mini", "Gemini 2.5 Flash", "Anthropic", "OpenAI", "Google"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/hold-the-line-do-ai-models-cave-to-fake-math-professors", "markdown": "https://wpnews.pro/news/hold-the-line-do-ai-models-cave-to-fake-math-professors.md", "text": "https://wpnews.pro/news/hold-the-line-do-ai-models-cave-to-fake-math-professors.txt", "jsonld": "https://wpnews.pro/news/hold-the-line-do-ai-models-cave-to-fake-math-professors.jsonld"}}