MISAKA Moves PALW Toward Permissionless Models

This turns PALW from a fixed menu of approved models into an evolving model layer—but permissionless admission only works if deterministic artifacts, reproducible inference, and anti-spam economics are airtight.

• –Registration can bind a model profile and canonical workload directly into an admission transaction.
• –Developers still need reproducible model artifacts, verifiable commitments, and compatible runtimes—not merely a model URL.
• –Active bonds and funded fees can make registration costly enough to deter low-quality or spam submissions.
• –New model classes could expand experimentation across specialized models and hardware tiers.
• –If each registered class changes the network ruleset fingerprint, onboarding may still create coordination costs despite being permissionless.