TECHNICAL TERMS.
DECODED.
Open a term for its meaning, an example from the field and a link to read further where available.
THE INDEX.
01 · SUBJECTIVE STATESSentience+
The capacity for raw sensation and affect: the baseline ability to experience valenced states such as pain, pleasure, distress, or comfort, rather than simply processing inputs without internal stakes.
Tracks empirical indicators of feeling across biological organisms and proposed synthetic systems. This section separates experimentally verified feedback mechanisms from speculative claims of machine affect.
02 · SUBJECTIVE STATESConsciousness+
The unified state of subjective awareness: the internal condition wherein there is something it feels like to exist, perceive, and operate an integrated model of reality and self.
This platform separates external behaviour, functional cognitive architecture, the 13 ACC™ traits, and authentic felt experience. Each dimension maintains its own evaluation framework and evidence trail.
03 · MODEL LANGUAGEFrontier model+
An AI system operating at the absolute boundary of state-of-the-art capability at a given point in time. The designation is relative rather than static, determined by aggregate compute thresholds, emergent capabilities, and benchmark dominance across complex domains.
Tracks leading-edge deployments across reasoning, code synthesis, and autonomous tool use. Current benchmarks monitor frontier systems such as OpenAI's GPT-5.6 Sol, Anthropic's Claude Opus 4.8, and Google's Gemini 3.8 Flash to evaluate verifiable performance over marketing claims.
04 · MODEL LANGUAGEMultimodal+
An architecture designed to ingest, process, and correlate diverse data modalities: such as text, high-resolution imagery, native audio, and raw video: within a unified representational space.
Evaluates systems capable of cross-modal synthesis, such as Google's Gemini 3.1 Pro, which maps visual and auditory inputs directly into structured analysis. Analysis verifies native perceptual integration against superficial modular pipelines.
05 · MODEL LANGUAGEReasoning Model+
A model structured to allocate dynamic inference-time compute to deliberate, explore alternative solution paths, and verify logic before delivering a response.
Assesses performance across multi-step algorithmic planning, formal mathematics, and advanced coding. Because visible explanation traces or scratchpads do not necessarily expose every internal latent state, verification focuses on execution validity and empirical correctness.
06 · MODEL LANGUAGEAgentic System+
An autonomous operational framework that couples a core model with external tooling, state memory, and system permissions to pursue non-deterministic, multi-step goals.
Examines closed-loop implementations, such as autonomous software engineering agents that inspect environments, execute terminal commands, evaluate test failures, and refactor code without constant human intervention.
07 · MODEL LANGUAGEOpen-Weight+
A distribution model where trained neural network parameters and architecture checkpoints are made publicly downloadable for local inference, fine-tuning, and independent inspection.
Distinguishes parameter availability from genuine open-source accessibility. While researchers can inspect the final weights locally, the underlying training corpora, data filtering pipelines, and deployment licences often remain restricted by proprietary terms.
08 · MODEL LANGUAGEResearch Model+
An experimental architecture constructed to test theoretical hypotheses, scaling dynamics, or safety mechanisms, decoupled from commercial product packaging.
Monitors laboratory checkpoints engineered to probe specific mechanics: such as interpretability or boundary conditions: where transparency and methodological validity take precedence over production reliability.
09 · WORLDVIEWSMetaphysics+
The foundational branch of philosophy examining the fundamental nature of reality, existence, identity, and the ontological relationship between computational substrates and conscious experience.
Establishes the interpretive lenses applied to synthetic outputs. Divergent metaphysical assumptions dictate whether an observed behaviour is classified as mechanical simulation, cognitive proxy, or authentic subjective agency.
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MODEL TOOLS.
These tools compare models on capabilities and evaluations. The Decoder explains the terms used in those comparisons.