AI SOC LIF SPT HA handman Why Bigger Controllers Alone Will Not Deliver Long-Running AGI When people talk about AGI, they often focus on one variable: the size or intelligence of the central model. The usual assumption is…
AI SCI HA handman · GoPenAI Audit-Closed AI Scientist: A Benchmark for Statistically Valid Autonomous Scientific Discovery The idea of an AI scientist is no longer speculative. Recent systems show that AI agents can generate research ideas, run experiments…
AI SCI HUM HA handman Ledgered Scientific Availability: A Finite Ledger for When a Claim Becomes Scientifically Usable Scientific work often begins with claims that are not yet cleanly scientific. A philosophical idea may point toward a real-world…
AI SPT SCI TCH HA handman Finite Operational Structure Theory and FOST Agent Ledger: Building Audit Trails for AI Agents… AI systems are becoming more capable. They can read documents, write code, summarize research, use tools, inspect files, generate plans…
AI HA handman Can a Black-Box System Remain Alive at Its Boundary? Boundary-Encoded Stability Theory, or BEST, reframes stability analysis for black-box systems. Instead of asking whether the hidden…
AI SCI HA handman When Capabilities Become Executable Networks: A Plain-English Guide to Executable Capability… Executable Capability Percolation Theory asks when scattered tools, proofs, workflows, datasets, and procedures become a connected…
AI DSN SCI HA handman · GoPenAI What Makes an Abstraction Worth Reusing? A Scientific Introduction to Abstraction Liquidity Theory Abstraction Liquidity Theory explains when a local solution becomes reusable abstraction capital: a certified asset that lowers future…
SCI AI HA handman When a Physical Number Is Not Enough: Constraint-Generated Physical Availability Physical systems often reach us through small reports: a free-energy difference, an average work value, a measured current, a boundary…
AI SPR HUM HA handman Why Intelligence May Need No Final Objective — and Why the Ability to End Matters What if the next stage of intelligence is not an optimizer chasing a final goal, but a process that crystallizes, dissolves, and releases…
ECO SCI HA handman Dormant Continuity Theory: A Framework for Safe Recovery, Auditable Dormancy, and Fail-Closed… Modern digital systems often need to stop, pause, freeze, or enter a protected inactive state. A smart contract may need to suspend…
AI HUM SCI HA handman When a P-Value Is Not a Claim: Statistical Verifier Semantics in Constraint Generative Theory A statistical number is not the same thing as a scientific claim.
AI SPR HA handman A Long-Future Archive of Observable-Only and No-Meta Research Zenodo DOI records with Arweave recovery anchors
AI DSN HA handman · GoPenAI An AI Agent Output Checker for Workflow Verification, Residual Ledgers, and Reusable Abstraction… Percolation Inversion Compiler
AI HA handman Percolation Inversion Compiler: Turning Research Claims into Checkable Agent Contracts AI agents increasingly operate across documents, code, simulations, planning systems, and external tools. This creates a practical…
AI LIF SOC HA handman When Should a Future Intelligence Speed Up, Copy Itself, Sleep, or Stop? An Intuitive Guide to Chronomorphic Substrate Selection Theory
AI SCI HA handman When AI Can Generate Research Faster Than We Can Verify It: A Practical Theory of Public Claim… AI systems are rapidly becoming capable of generating hypotheses, code, experiments, analyses, and manuscripts at a pace that can exceed…
AI SCI HA handman Constraint Bandwidth Dynamics: Why Some Constraints Preserve Future Freedom and Others Destroy It What does it mean for a system to remain constrainable?
AI HA handman Percolation Inversion Compiler: An Engineer’s Guide to Collective AI Agent Runtime Verification Why AI Agent Capability Is Not Just Model Capability
AI SPT HA handman Percolation Inversion Compiler: An AI Agent Output Checker for Safer, More Reusable Workflows AI agents can now write code, summarize documents, inspect repositories, draft plans, call tools, and generate long chains of reasoning…
AI SCI HA handman A scientific guide to no-meta epistemic irreversibility under finite memory No-meta systems can’t outsource “what matters” to an external evaluator. If they also have finite committed memory, they face a hard…
AI ECO HA handman Shared Memory Is Becoming the Hidden Bottleneck in Agentic AI Shared memory is becoming one of the hardest engineering problems in agentic AI. This PoC tests contamination control, typed memory lanes…
DSN AI HUM HA handman No-Meta Governance Intelligence: Protocols, Not Vibes TL;DR. No-meta governance intelligence (NMGI) is an AI design principle that eliminates ad-hoc “human meta layers” and compiles governance…
AI LIF HA handman Virtual-Meta Telemetry for No-Meta Agents: A Researcher-Focused Explanation Virtual-Meta Telemetry for No-Meta Agents is a specification for making autonomous systems auditable to themselves without relying on…
AI TCH HA handman Are AI Systems Quietly Rewriting the Data We Use to Train the Next Generation? As artificial intelligence systems scale across industries, a new and largely underexamined question is beginning to surface:
AI HA handman Before AI Agents Act: Safer Problem Framing with Audit Logs When is an AI system allowed to treat something as a real problem that deserves action?