DeepReinforce releases Ornith-1.0, an open-weights (MIT) model series based on Gemma 4 and Qwen 3.5, achieving state-of-the-art performance on coding benchmarks among open-source models of comparable size. The author tests the 35B MoE variant with LM Studio and Pi, finding it proficient at handling multiple tool calls for agentic coding tasks.

Dynamic subagents let AI agents orchestrate work at scale using code instead of tool calls. Learn how programmatic orchestration in Deep Agents guarantees coverage, handles fan-out, and unlocks reliable multi-step, complex agent pipelines with common orchestration patterns and live traces.

Candidly built a state-aware conversational agent harness that uses an Input-Output Hidden Markov Model (IO-HMM) to infer user engagement states in real time from conversation traces, enabling targeted response policies that reduce disengagement. The system identifies four states—Engaged, Detailed, Guided, and Disengaging—and cuts disengaging turns from 23% to 11%.

Google's Richard Seroter explains the full-stack approach to AI, how Google integrates hardware, models, and platforms, and offers three ways to start building.

Firefly Aerospace's Blue Ghost Mission 2 will deploy the NVIDIA Jetson edge AI platform in lunar orbit for the first time, enabling on-orbit AI inference to dramatically reduce data transmission delays. The Ocula lunar imaging service will map landing sites, detect mineral compositions, and provide situational awareness, supporting future exploration.