Architecture

Thesis: AgentScope 1.0 is less a toolkit and more a discipline for agentic software. By pinning everything to ReAct loops, unifying “message–model–memory–tool,” and adding group-wise tool provisioning, it addresses the real failure mode of agents in production: tool sprawl without control. The evaluation/Studio/runtime trio then turns prototypes into shippable services. What’s actually new (and why it matters) 1) A crisp core: Message → Model → Memory → Tool Most frameworks blur these into ad‑hoc objects; AgentScope forces a clean, composable boundary: ...

Brains with Gradients: Why Energy-Based Transformers Might Be the Future of Thinking Machines AI models are getting better at mimicking human intuition (System 1), but what about deliberate reasoning—slow, careful System 2 Thinking? Until now, most methods required supervision (e.g., reward models, verifiers, or chain-of-thought engineering). A new architecture, Energy-Based Transformers (EBTs), changes that. It offers a radically unsupervised, architecture-level path toward models that “think,” not just react. The implications for robust generalization, dynamic reasoning, and agent-based autonomy are profound. ...