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Topic: "agent-stacks"
Air Street's State of AI 2025 Report
glm-4.6 jamba-1.5 rnd1 claude-code reflection mastra datacurve spellbook kernel figure softbank abb radicalnumerics zhipu-ai ai21-labs anthropic humanoid-robots mixture-of-experts diffusion-models open-weight-models reinforcement-learning benchmarking small-language-models plugin-systems developer-tools agent-stacks adcock_brett achowdhery clementdelangue
Reflection raised $2B to build frontier open-weight models with a focus on safety and evaluation, led by a team with backgrounds from AlphaGo, PaLM, and Gemini. Figure launched its next-gen humanoid robot, Figure 03, emphasizing non-teleoperated capabilities for home and large-scale use. Radical Numerics released RND1, a 30B-parameter sparse MoE diffusion language model with open weights and code to advance diffusion LM research. Zhipu posted strong results with GLM-4.6 on the Design Arena benchmark, while AI21 Labs' Jamba Reasoning 3B leads tiny reasoning models. Anthropic introduced a plugin system for Claude Code to enhance developer tools and agent stacks. The report also highlights SoftBank's acquisition of ABB's robotics unit for $5.4B and the growing ecosystem around open frontier modeling and small-model reasoning.