Seed 1.8 AI: The First Truly Agentic Model for Real-World Task Execution

Seed 1.8: When AI Learns to Act in the Real World What makes Seed 1.8 fundamentally different from conversational models like GPT-4? Seed 1.8 is engineered for generalized real-world agency—it doesn’t just generate suggestions but executes multi-step tasks by natively integrating search, code execution, and visual interface manipulation within a single model, prioritizing economic utility over academic benchmarks alone. Why “Agentic” Models Matter: Beyond Simple Conversations The central question this section answers: Why do we need AI that can act, not just talk? We need agentic models because real-world tasks—from planning international travel to analyzing financial reports—require continuous interaction, tool …