The Seed Edge is a long-term research program launched by ByteDance Seed team, dedicated to establishing general intelligence. The program focuses on long-term research topics and pushing the boundaries of artificial intelligence. We encourage cross-team and cross-modal collaboration. We also provide an open research environment, offer dedicated computing resources, and adopt a longer-term performance review cycle for our members. The Seed STEM Fellows Program invites 100 outstanding researchers from the forefront of scientific innovation to collaborate with the Seed team on real-world research challenges. Together, we aim to accelerate scientific discovery with AI and advance the frontier of AI intelligence. Research areas and topics Exploring the boundaries of reasoning abilities Researching intrinsic rewards and proactiveness in models, memory mechanisms, and online learning capabilities. Exploring the boundaries of perception abilities Studying how to scalably extract knowledge from massive, ultra-low signal-to-noise ratio multimodal data and unify multimodal generation and understanding. Exploring next-generation model design integrating software and hardware Exploring hardware-friendly model architectures and training methods and developing models with long-term memory and real-time interaction. Exploring the capability boundaries of intelligent agents Discovering how to take actions based on visual and speech inputs and utilize various tools in the process flexibly. EdgeBench: measuring real-world environment learning and discovering a new scaling law Agents exhibit a clear log-sigmoid pattern in environment learning. Welcome to Seed Edge We welcome unconventional thinkers Core focus Possess deep curiosity and a passion for fundamental research. Possess deep curiosity and a passion for fundamental research. Grand vision Have top-tier research capabilities, dare to dream big, and pursue ambitious, high-impact AI challenges.

Have top-tier research capabilities, dare to dream big, and pursue ambitious, high-impact AI challenges. Long-term commitment Stay resilient and persistent amid short-term changes, and remain committed to long-term research. Long-term commitment Stay resilient and persistent amid short-term changes, and remain committed to long-term research. Open and long-term research environments Lean, flat, and diverse research team Diverse research backgrounds, with small and flat research groups where you can easily propose new topics. Lean, flat, and diverse research team Diverse research backgrounds, with small and flat research groups where you can easily propose new topics. Commitment to long-term research Extended evaluation cycles with no OKRs or semi-annual reviews, focusing on long-term impact. Commitment to long-term research Extended evaluation cycles with no OKRs or semi-annual reviews, focusing on long-term impact. Independent and sufficient computing resources Ample computing resources allocated and managed per research project. Independent and sufficient computing resources Ample computing resources allocated and managed per research project. Encouragement of cross-modal collaboration We encourage cross-team and cross-modal communication and collaboration to promote the interconnection and integration of cross-modal knowledge. Encouragement of cross-modal collaboration We encourage cross-team and cross-modal communication and collaboration to promote the interconnection and integration of cross-modal knowledge. If you have any questions, feel free to reach out via : seededge@bytedance.com