Frontier AI Paper Reading Group: Post-NeurIPS 2025
Post-NeurIPS 2025: Paper Reading
🔬 Topics
⚡ Scaling laws & emergent capabilities
🛠️ Production-ready techniques
💡 Research → startup opportunities
🔍 What's actually new vs hype
🎙️ Speakers
🤖 Jonathan Li Caltech • Asari AI • NEC Labs Scaling LLM reasoning through reinforcement learning and inference-time search—applications in code generation, computer-use agents, and multi-agent systems.
🛡️ Junyu Guo PhD, IEOR • UC Berkeley DRCORL's approach to the utility-safety tradeoff in offline learning, enabling agents to follow constraints without sacrificing reasoning capability.
🎭 Yi-Hsuan Tsai Co-Founder/CTO • Atmanity Avatar personalization breakthrough preserving identity-specific facial details using lightweight model adapters.
🧬 Mia A. Rosenfeld, PhD Iambic Therapeutics • Protein-ligand structure prediction in drug discovery—computational approaches for molecular binding predictions in therapeutic development.
⚙️ Chinmay Deshpande Amazon Lab126 • Interactive AI Infrastructure Design Tool for architecture decisions—serving strategies, KV cache, framework selection, and parallelism—with benchmarks, cost calculations, and exportable diagrams from 20+ research papers.
🤝 Co-Hosts
🌐 The AI Collective aicollective.com
🧪 Chemistry chemistry.vc
🏔️ AI Valley aivalley.io
💼 Diversis diversis.com