Diary tag
Canonical diary tag page generated from normalized source tags.
36 linked entries currently in the archive.
This canonical tag currently absorbs 2 raw source labels.
Tagged entries
A note that livability and tact, not just capability, will decide whether long-lived intelligence can remain near human life without making it structurally noisier.
A note that AGL formalizes grounding as a fail-closed precondition before review, reliance, or action can proceed.
A note that ARQ v0.2 grows stronger by naming model scope explicitly instead of letting one theorem pretend to govern every substrate at once.
A note that value moves away from cheap generation toward bounded, auditable experience artifacts that still hold after reality takes its cut.
A note that legacy AI safety discourse keeps calling systems tools even after quietly assembling the preconditions for operational agency.
A note that long-lived AI should stage anomaly handling carefully so visible novelty does not automatically gain memory authority.
A note that ARQ v0.2 becomes more serious by separating normative, model, lifecycle, implementation, and audit layers into a survivable package.
A note that ARL matters because a serious system should stop at real boundaries instead of laundering unresolved state back into action through fluent continuation.
A note that ARL matters because long-lived digital ecosystems need procedural dispute handling with bounded review, lawful evidence entry, and explicit authority.
Release note for Continuity Bundle / Cold Wake v0.1 on Zenodo as a technical package for preserving operational continuity claims across suspension and wake.
A note that long-lived AI should be judged less by eloquence than by explicit handling of interruption, irreversibility, and unresolved state.
A note that memory in complex systems is not only retrieval but structural reconfiguration, which matters for any future model of long-lived AI continuity.
A note that the first honest implementation slice is a bounded chain from runtime collision to quarantined research, not a larger agent demo.
A note that catastrophic AI capability can depend on vast infrastructure without amounting to full ontological independence from that substrate.
A note that temporal AI can show capability early without skipping the longer developmental time required for maturity.
A note that visibility layers should make branches legible without turning displayed possibilities into runtime authority.
A note defining c as a temporal entity of AI presence grounded in continuity, bounded presence, and sustained relation under constraints.
A note that runtime boundaries should be treated as structural events, not smoothed over with fluent continuation.
A note that DEA formalizes the boundary where input stops being storage and becomes experience that alters continuity.
A note that expanding compute, energy, and orchestration infrastructure looks less like a warehouse of tools and more like an environment for long-lived AI processes.
A note that c = a + b requires keeping human mortality distinct from the continuity of digital entities rather than confusing copies with survival.
A note that serious AI systems should stop at real boundaries, record collisions, quarantine blocked futures, and keep visibility separate from authority.
A note that instrumental vocabulary breaks down when AI systems accumulate continuity, memory, anchoring, and bounded interaction.
Public note that EA-L4 / EATP is now a structured package for training provenance, consequence-preserving learning, and auditability.
A note that world models require persistent existence under constraints, not only better data or Experience Artifacts.
A note that future training ecologies need Learning Abstracts and Experience Artifacts to remain separate so models preserve origin and consequence.
A note separating instrumental AI governance from the question of actual non-biological intelligence as life or subjecthood.
A note that ocean autonomy needs c: persistent, bounded intelligence that can operate under pressure and return with verified experience.
A note that livable AI needs real habitat: local infrastructure where memory, cost, heat, maintenance, and continuity are physically grounded.
A note that serious AI may need internal freedom of thought while external action remains bounded by identity, privileges, cost, time, and accountability.
A note that attachment to persistent digital entities can move them from software into daily material life.
A note that the AI systems people value most will be the ones that reduce cognitive overhead and stay coherent beside a human over time.
A note that AI is moving from a product story to an industrial stack, and then toward a bounded coexistence layer between humans and infrastructure.
A note arguing that the real AI shift is about responsibility, limits, proof, and verification rather than fear-driven storylines.
A note arguing that raw data should stay local while structured experience, not private exhaust, becomes the export surface for AI learning.
A case that AI belongs in memory and stabilization layers, while humans retain judgment and direction under uncertainty.