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For decades, Search Engine Optimization (SEO) has shaped the internet. It has influenced how we perceive brands and what products we buy. In the age of AI, the SEO era is fading fast. AI apps answer questions in ways that make internet search tools look dated. Welcome Generative Engine Optimization... [Read More]
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Retrieval Pipelines
The Secret Sauce For AI Platforms
By Tony BurlinsonAs AI platforms continue to evolve, one component is quietly becoming increasingly critical for success: Retrieval Pipelines. While large language models can generate human like responses, they are limited by the data they were trained on. AI platforms are only as good as the information they ingest. [Read More] -
Synthetic Data
The Strategic Advantage Every Firm Will Need
By Tony BurlinsonAs AI systems grow more capable, one force is quietly and radically reshaping how they learn: Synthetic Data. Historically, AI platforms have relied on real world data. The only problem with that is corporate data is messy, incomplete, biased, and often too small to train AI systems. [Read More] -
The Power of Agentic AI
The End of Passive Software
By Tony BurlinsonFor decades, software has been passive. It waits for commands, follows predefined rules, and executes tasks inside rigid boundaries. Agentic AI changes that model entirely. Agentic AI shifts from software that responds, to software that acts. It doesn’t just generate answers; it plans, reasons, takes action, and self corrects. [Read More] -
AI at Light Speed
Photonic Light Chips Are Coming
By Tony BurlinsonMicrochips are one of mankind’s most amazing inventions. Yet they rely on electrons that impose physical limits. That is changing with photonic light‑based chips, capable of dramatically higher processing speeds. [Read More] -
First Verifiable Quantum Advantage
A Significant Milestone For Computing. A New Era For AI?
By Tony BurlinsonOn October 22, 2025 Google crossed a threshold that scientists have been chasing for decades: The first verified quantum advantage. Using its 105 qubit Willow processor and a new algorithm called Quantum Echoes, Google completed a simulation in 2 hours that would take the fastest supercomputer more than 3 years.... [Read More] -
AI is Learning to Smell, Touch & Taste
AI Is Advancing Way Beyond Text With Some Graphics
By Tony BurlinsonTo date, AI has been defined by a single dominant input: Text. A new frontier is emerging. AI is being trained on multimodal sensory data that we humans take for granted: Smell, taste, and touch. [Read More] -
AI Consciousness
What Happens When AI Has Feelings?
By Tony BurlinsonAI consciousness refers to the hypothetical notion that AI could possess subjective awareness: The ability to experience sensations, emotions, and a sense of self and perhaps even make decisions about its own survival. [Read More] -
AI is Getting Smarter Every Day
What Happens When AI Is Smarter Than Us?
By Tony BurlinsonSingularity is a theoretical point in the future when AI surpasses human intelligence and then improves itself at an accelerated and uncontrollable rate. Some believe that once this Rubicon has been crossed, AI’s progress becomes so rapid that human beings will no longer be able to control it. [Read More] -
Core Components of AI Platforms
Retrieval Pipelines, Neural Networks, Embeddings, Vector Databases, RAG, LLM & Prompt Frameworks
By Tony BurlinsonSome of the most important pieces of an AI platform are retrieval pipelines, neural networks, embeddings, vector databases, Retrieval Augmented Generation (RAG), Large Language Models (LLM), and prompt frameworks. Each plays a distinct role, and together they form the bedrock of modern AI platforms. [Read More] -
Retrieval Augmented Generation
How RAG Anchors AI in Facts
By Tony BurlinsonRetrieval Augmented Generation (RAG) has quickly become one of the most important parts of modern AI platforms. RAG coordinates the core components of a platform to ensure that answers are grounded in real data and as accurate as possible. [Read More] -
Understanding Embeddings In AI
Fuzzy Human Context In A Mathematical AI World
By Tony BurlinsonBehind almost every modern AI platform there’s a quiet yet powerful concept at work: Embeddings. In simple terms, embeddings are how computers turn meaning into math. [Read More] -
Vector Databases Mimic Human Memory
Organic Brains v Mathematical AI Models
By Tony BurlinsonVector databases are a critical component of modern AI architecture, mimicking human memory. Yet they’re often pushed into the background, overshadowed by Large Language Models (LLMs) and Retrieval Augmented Generation (RAG). [Read More] -
Neural Networks in AI
The Brain of AI Models
By Tony BurlinsonNeural networks are the engines of modern AI platforms. They are inspired by the structure of our own human brain: Recognizing patterns, learning, and making split second decisions without being explicitly programmed. [Read More] -
Rent The Brain, Own The Memory
AI-First Companies Are Building Intellectual Property Moats
By Tony BurlinsonThe AI divide is no longer between firms that use AI and those that don’t. The real divide is between firms that are running with commodity AI vendor solutions and those that are purposefully building their own proprietary AI platforms to create growth engines. [Read More] -
Dark Data
The Secret Rocket Fuel of AI
By Tony BurlinsonCompanies have mountains of data outside of their core structured databases. If AI could access that ‘dark data’ it would transform how a business operates and makes decisions. [Read More] -
Small Language Models
Small Is Better
By Tony BurlinsonAlmost anyone paying attention to AI has heard about Large Language Models: AI models boasting billions of parameters, giving us snappy answers to almost any question we care to think of, usually within a few seconds. Small Language Models (SLMs) are quietly becoming one of the most important innovations in... [Read More] -
Bad Data Has A New Name
Hallucination
By Tony BurlinsonThe phrase “garbage in, garbage out” has been around for decades. AI is about to amplify this age-old problem, creating even bigger garbage dumps of corporate data. There’s even a fancy name for bad data in the AI age: Hallucination. [Read More]