TOGAF motivation architecture
What does The Open Group Architecture Framework (TOGAF)'s motivation architecture say about the dependency chain from business driver to goal to requirement: does it specify validation rules, or only…
GORE: translating strategic intent to scoped delivery objectives
How does Goal-Oriented Requirements Engineering (GORE) handle the translation from strategic intent to scoped, time-bounded delivery objectives: what decomposition rules does it specify, and where do…
Goal specification: minimum schema and completeness validation
What properties must a Goal specification carry for an automated system to determine whether it is complete enough to act on -- specifically, what is the minimum schema, and what happens when fields a…
Model-based requirements engineering
Is there evidence from model-based requirements engineering on how scope changes to a Goal propagate to the constraint surface: specifically, does constraint re-enumeration happen automatically, or do…
Goal fragmentation: signals distinguishing salami-slicing from legitimate…
When a Goal is a fragment of a larger intent (salami-sliced deliberately or accidentally), what signals distinguish it from a legitimately scoped sub-goal?
Goal-constraint feedback
In control systems with feedback between goal definition and constraint measurement, what conditions cause the system to converge on a stable specification versus cycle without resolution, and what is…
Formal methods: specifying interdependent inputs for automated feasibility…
In formal specification methods (Z notation, Alloy, TLA+), how are systems with interdependent inputs specified so that an automated solver can determine feasibility without human arbitration at each…
Joint Embedding Predictive Architecture (JEPA) shift
Is the shift from text-token prediction to Joint Embedding Predictive Architecture (JEPA)-style video outcome prediction the same class of problem as the shift from video prediction to physically grou…
LLM reasoning in mathematics and programming tasks
To what extent is the claim true that mathematics and programming are especially strong use cases for Large Language Models (LLMs) because both rely on formal symbolic languages that may align with mo…
State Space Explosion and Deterministic Chaos
How do state space explosion in concurrent systems and chaos theory, especially sensitive dependence on initial conditions, mirror the fragility of machine learning models when subjected to minor inpu…
David Deutsch's Hard-to-Vary Criterion
Using David Deutsch's hard-to-vary criterion, meaning an explanation whose details cannot be changed without losing explanatory force, what formal criteria can measure the internal logical constraints…
Formalising Popper's Falsifiability as a Mathematical Criterion for…
How can Karl Popper's criterion of demarcation and falsifiability be mathematically formalised to distinguish between a model that explains a physical mechanism and one that merely interpolates observ…
What Are We Losing and Gaining by Inserting Autonomous Tool-Using Artificial…synthesis
What are we concretely losing and gaining, across the dimensions of capability, reliability, auditability, explainability, and organisational risk, by inserting autonomous tool-using Large Language Mo…
Policy enforcement and formal verification as Energy-Based Model (EBM)…
How can discrete policy engines and formal verifiers be translated into continuous or structured optimization signals that guide Energy-Based Model (EBM) search while preserving the original natural-l…
Layered reasoning stack interfaces
What state abstraction boundaries and interface protocols are most effective for mapping Large Language Model (LLM) candidate outputs into Energy-Based Model (EBM) evaluation state spaces while preser…
Kona and Aleph at their core, with Lean and unifying concepts
What are Kona and Aleph at their core, what do they each do in practice, how does Lean (the theorem prover) relate to them, and which unifying concepts explain where they overlap and differ?
What is the strongest evidence-based argument that investing in software…
What is the strongest evidence-based argument - drawing on Yann LeCun's primary sources, the formal methods literature, the systems capability debt research already in this corpus, and empirical evide…
What is the precise technical distinction between code generation and other…
What is the precise technical distinction between code generation and other Large Language Model (LLM)-generated outputs in terms of external verifiability, specifically, that code operates in a forma…
Policy coherence as a machine-checkable prerequisite
Contradictory or outdated policy documents are a chronic governance failure that organisations tolerate because the consequences under human operation are slow-moving. Under agentic operation, agents…
More formal proof engineering
What does Leanstral - an open-source agent for formal proof engineering - offer as a practical path to trustworthy, formally verified software built with Artificial Intelligence (AI) assistance, and h…
Reliable Software in the LLM Era
What strategies and formal-methods tooling exist for maintaining software reliability in the Large Language Model (LLM) era, and what does the Quint formal specification language ecosystem - including…
Can organisational intent be expressed as a formally structured specification…
Can organisational intent — mission, values, strategy, resource allocation — be expressed as a formally structured specification from which human-readable artefacts are derived, and against which Obje…
Language designed for LLM agents to produce
Is anyone actively developing a programming language or structured output format specifically designed for LLM agents to generate — rather than humans to write — that structurally addresses generation…
Formal intent specification and language choice for AI alignment in agentic…
Can formal specification of task intent structurally eliminate reward hacking and intent mismatch in agentic coding systems? What is the expressiveness-verifiability tradeoff at each level of the spec…