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| 📄 | Interpretable Physics Reasoning and Performance Taxonomy in Vision-Language Models |
| 🔗 | arXiv:2509.08270 · 🤗 Hugging Face Papers · Aug – Oct 2025 |
| 🧠 | Analyzed physics reasoning in vision-language models · Proposed a taxonomy of reasoning types |
| 📊 | Studied failure modes, interpretability & generalization on multimodal reasoning benchmarks |
current_missions = {
"🔬 Research" : "Vision-Language Models & Multimodal AI Reasoning",
"🌐 Full Stack" : "AI-Powered Products with Next.js + FastAPI",
"🤖 Agentic AI" : "Multi-Agent Pipelines for Real-World Problems",
"🏆 Hackathons" : "Winning more — 2x champ, not stopping here",
"🎯 2025 Goal" : "Publish more research + ship impactful AI products",
}
for mission, description in current_missions.items():
print(f"{mission} → {description}")| 🎯 Focus Mode | 🌙 Night Owl | ☕ Fuel |
|---|---|---|
| Deep work + Lofi beats | Best code after midnight | Coffee + Curiosity |
💡 "The best way to predict the future is to build it."
🔥 I don't just learn AI — I deploy it.
⚡ From Jupyter notebooks to production systems.
