Data●●Solid
I logged Gemini's stock predictions for 38 days to study LLM drift
Rigorous 38-day Gemini drift study with citation-mapped predictions and confidence scores.
Big BrainRabbit HoleNiche Gem
clsia
513mo ago
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Do Thought Streams Matter? A Benchmark of VLM Reasoning in Gemini 2.5
by ashu_trv·Apr 16, 2026·3 points·0 comments
AI Analysis
●MidBig BrainNiche Gem
Names compression-step hallucination, but it's a paper not a tool you can use.
Strengths
- •Three novel evaluation metrics: Contentfulness, Thought-Final Coverage, Dominant Entity Analysis
- •100 hours of video across four Gemini configurations provides substantial empirical data
- •Identifies plateau point where additional thinking tokens stop improving output quality
Weaknesses
- •No accompanying code, demo, or toolkit — findings are observational only
- •Gemini-specific results may not generalize to other VLM architectures
Category
Target Audience
ML researchers, VLM developers, AI safety researchers
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Chain of Thought papers · LangChain tracing · Anthropic constitutional AI research
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