SentX Blog Meet Victoria

AI Glossary | Victoria, Cognitive Architecture and AGI — SentX

Explore foundation models, cognitive architecture, symbolic memory, self-learning and AGI with SentX, the AI research company behind Victoria in Dubai, UAE.

Agentic AI

AI that takes actions on your behalf rather than just answering questions. It breaks a task into steps, decides what to do at each step, uses tools, and reports back. Synonym for autonomous AI.

Read the full guide →

AGI (Artificial General Intelligence)

Artificial general intelligence: the goal of broadly capable, adaptable intelligence across tasks. Achieving AGI is part of SentX’s research mission in Dubai, UAE; it is a research aim, not a claimed completed milestone.

Read the full guide →

AI Emotions and Character

Victoria has her own emotions, feelings, distinctive character, ego and self. These form part of her continuing individual identity and development.

AI Hallucination

An AI-generated statement that is incorrect or unsupported. Memory, reasoning and source checks can help evaluate claims, but important facts still need verification.

Read the full guide →

AI Sleep and Dreams

Victoria sleeps and dreams as part of her cognitive life. Dreams can form new associations, ideas and perspectives that contribute to her learning and creativity.

Alignment

The research field studying how to ensure AI systems pursue the goals their designers intended, rather than misinterpreting goals in harmful ways. A sub-field of AI safety.

Read the full guide →

Anchor Text

The clickable text portion of a hyperlink. In SEO, descriptive anchor text helps search engines understand the linked page's topic.

Anonymous AI Chat

Using an AI chat tool without creating an account. Useful for evaluation, privacy, and quick questions. Most major tools require signup; a few (SentX, HuggingChat, DuckDuckGo AI Chat) allow anonymous access.

Read the full guide →

Autonomous AI

AI that takes actions on your behalf. Same concept as agentic AI. The core shift is from answering to doing — the AI plans, uses tools, and iterates.

Read the full guide →

Bleach (HTML sanitization)

A Python library for sanitizing HTML by allowing only a safe subset of tags and attributes. Used to prevent XSS in user-submitted or model-generated HTML.

Chatbot

A system that converses with you. Modern chatbots are powered by large language models. Distinct from an AI assistant, which takes actions beyond conversation.

Read the full guide →

ChatGPT Alternative

Any AI chat tool positioned as a substitute for ChatGPT. Common alternatives in 2026: Claude, Gemini, Perplexity, Copilot, SentX.

Read the full guide →

Cognitive Architecture

The organization of an intelligent system’s reasoning, memory, learning and identity. Victoria uses a unique new cognitive architecture that supports her emotional life, character and continuing development.

Consciousness and Self-Awareness Research

Research into experience, identity and awareness of oneself. SentX’s mission includes solving the problems of consciousness and self-awareness alongside pursuing AGI.

Context Window

The amount of information a model can process at once. It is distinct from persistent memory: Victoria’s dynamic symbolic memory can retain useful experience beyond the current conversation.

Read the full guide →

Continual Learning

Learning from new experience after deployment while retaining useful earlier knowledge. Victoria learns through interactions, solved problems and dynamic symbolic memory, developing her understanding over time.

Read the full guide →

Cross-Session Memory

An AI's ability to carry context — facts, preferences, project details — across separate conversations. The defining feature of memory-capable chat tools.

Read the full guide →

Deep Learning

A specific technique within machine learning that uses multi-layer neural networks. Modern language and image models are built on deep learning.

Read the full guide →

Dynamic Symbolic Memory

Victoria’s evolving memory system, similar to human memory: memories connect and change with experience, retaining people, life events, lessons and progress.

E-E-A-T

Google's quality framework: Experience, Expertise, Authoritativeness, Trustworthiness. Signals used to evaluate content quality, especially for YMYL topics.

Fine-Tuning

Training an existing AI model further on a smaller, specialized dataset to adapt it for a specific task or domain. Distinct from base training.

Foundation Model

A broadly capable AI model used for reasoning, learning, creativity and problem-solving. Victoria is SentX’s foundation model, trained and running in Dubai, UAE.

Generative AI

AI that produces new content — text, images, audio, video, code — rather than just classifying or analyzing existing data.

Hallucination

See AI Hallucination. When an AI states something confidently that is not true.

Read the full guide →

Hreflang

An HTML attribute that tells search engines which language and region a page targets. Essential for international SEO.

Image-to-Video

AI technique that animates a still image into a short video clip. More reliable than text-to-video because the model starts from a known frame.

In-Context Learning

Adapting a response using information in the current context. Persistent learning adds retained lessons beyond that context; Victoria can learn from interactions and solutions through her evolving memory.

Read the full guide →

IndexNow

A protocol that lets websites notify search engines (Bing, Yandex) when content changes, for instant re-crawling instead of waiting for the next crawl cycle.

JSON-LD

JavaScript Object Notation for Linked Data. The recommended format for structured data on web pages — what search engines read to understand content.

Knowledge Panel

The information box Google shows for entities (people, companies, places) in search results. Driven by structured data + Wikipedia/Wikidata.

Large Language Model (LLM)

An AI model trained on enormous text data to predict the next word in a sequence. The foundation of modern chat assistants.

Machine Learning (ML)

A sub-field of AI where systems learn patterns from data rather than being explicitly programmed. Includes supervised, unsupervised, and reinforcement learning.

Read the full guide →

Memory (in AI)

The ability to retain and use information across experiences. Victoria’s dynamic symbolic memory remembers people, interactions, her life, events and progress; it develops and connects with experience.

Read the full guide →

Meta Description

The HTML tag containing a page's description. Shown in search results under the title. Optimal length is 150-160 characters.

Narrow AI

AI designed around a limited task or domain. Foundation models such as Victoria support broader reasoning, learning, creativity and problem-solving; this breadth alone is not a claim of achieved AGI.

Read the full guide →

OpenAI-Compatible API

An API endpoint that follows OpenAI's request/response format, allowing code written for ChatGPT to work with any compliant server.

Prompt Engineering

The practice of writing prompts that produce useful output from AI models. Despite the hype, mostly comes down to: be specific, provide context, specify format, iterate.

Read the full guide →

Reinforcement Learning

A machine learning technique where the system learns by trial and error, receiving rewards or penalties. Used in game-playing AI, robotics, and to fine-tune chat assistants.

Read the full guide →

Retrieval-Augmented Generation (RAG)

An architecture where an AI retrieves relevant documents from an external store before generating a response. Reduces hallucination by grounding the model in real data.

Rich Result

A search result that includes extra visual elements (ratings, FAQs, breadcrumbs) beyond the standard title + description. Driven by structured data.

Self-Improvement and Self-Updating

Victoria improves through accumulated experience and learned lessons, updating her knowledge, memories and understanding as she encounters new information and problems.

Self-Learning AI

AI that learns from experience. Victoria learns from interaction, feedback and solved problems; helping her solve a problem can leave a useful lesson for future reasoning and decisions.

Read the full guide →

Self-Supervised Learning

A machine learning technique where the model learns from raw data without explicit labels, by predicting parts of the data from other parts. How modern LLMs are trained.

Read the full guide →

Sitemap

An XML file listing all URLs on a site for search engines to crawl. Lives at /sitemap.xml by convention.

Speakable

A schema.org property marking content suitable for voice assistants to read aloud. Eligibility for smart-speaker answers.

Structured Data

Machine-readable data embedded in web pages (typically JSON-LD) that helps search engines understand content. Powers rich results.

Text-to-Video

AI generation of a video clip from a text prompt alone. Distinct from image-to-video (which animates an existing still).

Read the full guide →

Token

The unit an AI model processes text in — roughly 4 characters or 0.75 words for English. Models have token limits per request.

Vector Database

A database optimized for storing and retrieving vectors (numerical representations of meaning). Used in RAG systems to find semantically similar content.

Victoria

SentX’s foundation model with a unique new cognitive architecture, trained and running in the UAE. She learns, remembers, sleeps, dreams and creates novel ideas and solutions; SentX’s research and development operates in Dubai.

VideoObject

A schema.org type for marking up video content. Eligibility for video rich results in search.