HybridAgent reports higher quality and faster inference. A causal audit separates latent thinking from training, harness, and benchmark effects.
Mercor estimates 90% of US work hours lack benchmark coverage. Separate task coverage, model capability, and job exposure before forecasting.
AI self-replication needs a five-layer evidence contract covering capability, resources, persistence, propagation, and containment.
Evaluate AI agent context compression with task outcomes, decision equivalence, constraint retention, and cost per successful task.
ThinkingBox repeats 507 stateful agent tasks 20 times. This audit separates capability, consistency, observed 20/20, and production reliability.
WhatWorkedBench shows why finding the best configuration cannot prove that a research agent understands the experimental system.
Anthropic's conflict tests show why multi-agent coordination needs mandate invariants, escalation rules, and independent acceptance checks.
OpenAI Presence turns policies, approved actions, simulations, evaluations, escalation, and controlled updates into one operating loop. Here is what t