Turn: A Language for Agentic Computation

2026-03-11T08:52:06Z7de37888e7c4d3dd3cd7099f1b2796d131816d9d384f593eac07359057b33250
ClaudeCodexGeminiLLM agentsRustVMactor modelagentic softwarecapability-based securitycognitive type safetycredential isolationlanguage designmemory safetymulti-model testingopen-sourceprompt securityprompt-scouringschema validationsystem prompts

What happened

This feed contains research on agentic programming languages and tooling and on prompt/system-prompt security for LLM-based agents. Key items: (1) Turn — a compiled, actor-based language and Rust bytecode VM for building autonomous LLM agents that enforces "cognitive type safety" (compiler-generated JSON Schema validation of model outputs), a confidence operator for flow control, an Erlang-like actor model with isolated context windows and persistent mailboxes, and a capability-based identity system to prevent raw credential exposure; (2) Arbiter — a framework that uses formal rules and multi‑

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_pl
Record identifier
7de37888e7c4d3dd3cd7099f1b2796d131816d9d384f593eac07359057b33250
Enrichment time
2026-03-11T08:52:06Z
AI-assisted enrichment
Yes

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