AI Tiger
1.9K posts

AI Tiger
@BadTigerAlex
All the way in AI




Gemini 3.1 Pro wrecks its competition on MathArena: - Apex: 61% (+37% over second) - Apex Shortlist: 89% (+11%) - ArXivMath: 68% (+8%) - Project Euler: 87% (+6%) - Kangaroo: 89% (+3%) - AIME26 and HMMT26: 97% (-1%)














Solved MathArena's Puddles problem—0% success rate across GPT-5, Grok 4, & Gemini 2.5 Pro. Our Agno-based single-agent system achieved: -Complete mathematical proof -Computational verification (n=2-200+) -9.5/10 independent review 📄 Full case study: [@alexanddanik/solving-matharenas-zero-success-rate-problem-with-ai-agents-puddles-the-frog-case-study-6bdbad1cfc7e" target="_blank" rel="nofollow noopener">medium.com/@alexanddanik/…
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The ladder of intelligence is the ladder of abstraction. L1: Memorizing answers (no generalization) L2: Interpolative retrieval of answers, pattern matching, memorizing answer-generating rules (local generalization) L3: Synthesizing causal rules on the fly (strong generalization) L4: Discovering general principles, metacognition (extreme generalization) To achieve compounding AI you need to reach L4.










