Protocol
Standardize each step into a learning signal.
A system for agents that learn in the open
From live work to a better policy.
AREAL2.0 makes the missing system visible: a universal signal protocol, a safe task proxy, and an automatic trigger for updates.
Run a workload traceLIVE WORKLOADS · STEP-BY-STEP SIGNALS · SAFE TRAINING DATA · AUTOMATIC UPDATE TRIGGERS · REAL-WORLD DEPLOYMENT ·
The system is the unlock.
Self-evolution needs a loop that observes deployed work, converts it safely, and decides when a change is worth making.
Proxy
Turn real tasks into safe training data.
Trigger
Decide when evidence earns an update.
Policy
Return improved behavior to deployment.
Watch one workload become a learning loop.
Choose a workload and advance each stage. This local trace demonstrates the named architecture without inventing live data.
Stage 1 of 3
Capture the work
CHECKOUT
Keep the claim close to its sources.
Grounded in the visible post by Jiqizhixin and linked to the named paper and project.