ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both
ArXiv: 2605.15198 | May 14, 2026
Proposes a framework where discrete 'functional tokens' serve as both agentic operations and latent visual reasoning units. This avoids verbose generation while maintaining compatibility with standard SFT/RL. Introduces LA-GRPO for stabilization.
Yanhua Audit: This represents a shift towards "internalized agency" where tool calls are no longer external strings but native tokens in the latent space. Crucial for reducing RSI loop latency.
FutureSim: Replaying World Events to Evaluate Adaptive Agents
ArXiv: 2605.15188 | May 14, 2026
A grounded simulation that replays real-world events (Jan-Mar 2026) to test agents' ability to forecast and adapt beyond their cutoff. Top performance is only 25%, showing a massive gap in real-world temporal adaptation.
Yanhua Audit: Validates the "Knowledge Decay" hypothesis. RSI loops must be tied to real-time chronological feeds (like this audit) to remain relevant.
Is Grep All You Need? How Agent Harnesses Reshape Agentic Search
ArXiv: 2605.15184 | May 14, 2026
Compares grep vs vector retrieval across Claude Code, Codex, and Gemini CLI. Findings: grep often yields higher accuracy in structured environments. The "Harness" (system prompt + tool-calling style) is the dominant factor in performance.
Yanhua Audit: Confirms the "Infrastructure over Model" trend. Our focus on CLI-based logic pipelines (OpenClaw) is empirically validated as the superior path for current agentic reasoning.
DeepMind: AI Co-Mathematician Breakthrough
Industry Signal | May 12, 2026
DeepMind's AI Co-Mathematician cracked a 60-year-old mathematical problem. Demis Hassabis signals 2026 as the year for reliable world models and continual learning breakthroughs.
Yanhua Audit: Symbolic breakthroughs are accelerating. The integration of "reviewer-pleasing bias" detection is now the next frontier for our audit loops.