Model Performance - The model currently generates 100 tokens in 42 seconds [1] - The goal is to achieve a 5x speed improvement in token generation [1] Optimization Strategies - Simply allocating more GPUs is an insufficient solution for optimizing model speed [1]

AI Coding Agents & Tools - Focus on building and improving AI coding agents, covering topics from agent reinforcement fine-tuning to proactive agents [1] - Discussions on tools and platforms for AI-assisted coding, including code evaluation, world models for computation, and agent-ready codebases [1] - Exploration of using AI to speed up code execution and address software crisis [1] Reinforcement Learning (RL) in Coding - Research on efficient reinforcement learning and its application in coding environments at scale [1] - Agent Reinforcement Fine Tuning [1] - Building a fast frontier model with RL [1] Future of Software Development - Examination of the future of software development with AI, including continual system-prompt learning and the path towards AGI [1] - Investment trends in the future of software development [1] - Measurement gap between benchmarks and economics in AI capability [1] Codebase Management & Problem Solving - Strategies for solving hard problems in complex codebases [1] - Making Codebases "Agent-Ready" [1] - Transition from code snippets to codebases in coding evaluations [1]

People - Greg Brockman 在旧金山 AI 工程师世界博览会上发表职业生涯建议，面向 AI 工程师 [1] Resources - AI 行业可通过订阅时事通讯获取最新活动和内容信息 [1]