An agent harness is the code and structure around a language model that converts raw text prediction into goal-directed behavior, and it has driven larger performance gains than model upgrades, accord…
Around Christmas 2025, AI engineers observed a sudden improvement in AI agents, which Lukasz Kaiser, co-inventor of the Transformer, attributed to a combination of harness changes, post-training, and …
A new article highlights five key papers for understanding agentic AI, including ReAct, Toolformer, Generative Agents, and Voyager, which demonstrate reasoning, tool use, memory, and embodied explorat…
A 2026 analysis identifies five foundational papers—ReAct, Toolformer, Reflexion, Voyager, and an unnamed framework paper—that underpin every modern AI agent architecture, tracing the tool-calling loo…
Meta is activating autonomous task capabilities for its AI assistant in select markets, powered by the newly deployed Muse Spark 1.1 model, enabling the chatbot to execute multi-step tasks like bookin…
Rudrite Research published a comparison of three approaches for teaching language models to use tools: ReAct, Toolformer, and ToolRL. The analysis contrasts prompting loops, data filtering based on mo…