not much happened today

**AI Twitter Recap** highlights the shift from model-centric AI to **context pipelines** and **agent orchestration** as key performance drivers. Notably, **gpt-5.2-codex** and **gpt-5.3-codex** showed significant benchmark improvements through prompt and middleware tuning. The ecosystem around open harnesses like **Hermes**, **deepagents**, and **Flue** is rapidly evolving, with innovations in multi-agent coordination and model-agnostic orchestration. Developer workflows are adapting to coding agents such as **Codex** and **Claude Code**, with emerging challenges in pricing models due to high token usage in agentic workloads. The practical takeaway is that agent performance depends on the synergy of **model × harness × memory/context strategy**, not just model weights alone.