The Frontier Journal
How frontier AI actually works, made clear. Field notes written to actually teach: models, agents, attention, embeddings, retrieval, reasoning. Each one has a living, interactive version inside EINAI.
NETWORKS AI-RAN: The Nervous System for Swarms When the cell tower starts thinking, a thousand robots can stop carrying their own brains. Hashem Osama · 8 min ROBOTICS The Simulator a Swarm Dreams With How a learned model of physics lets a robot imagine the next few seconds, and lets many robots agree on one future. Hashem Osama · 8 min MODELS Test-Time Compute: Buying Intelligence by the Second A model that thinks longer can beat a model that is simply larger. The trade is no longer settled at training time. Hashem Osama · 7 min INTERPRETABILITY Reading a Model's Mind How researchers learned to pull a neural network's tangled thoughts apart into concepts you can name, and even turn up or down. Hashem Osama · 8 min LINEAGE Gordon Pask and the System That Grew Its Own Sensor In the late 1950s an electrochemical assemblage constructed a working acoustic sensor that its designer had not specified. It remains the clearest physical demonstration of a system extending its own input space. EINAI · 6 min LINEAGE The Johns Hopkins Beast and the Sufficiency of a Drive A machine with no internal model maintained itself in a building for up to a day at a time by regulating a single variable. It is an early and unusually clean demonstration of autonomy as homeostasis. EINAI · 6 min LINEAGE Genghis and the Architecture of Decentralised Competence A six legged robot traversed rough terrain with no central model and no plan, its gait emerging from independent per leg controllers. It is the canonical demonstration that competent behaviour does not require a central representation. EINAI · 7 min MODELS Temperature is not a creativity knob It does one tiny thing: it divides the model's scores before they become probabilities, and that reshapes everything. Rayan Aljafar · 6 min MODELS Sampling: how a model actually picks the next word temperature sets the odds. sampling is the hand that reaches in and draws. Rayan Aljafar · 6 min FOUNDATIONS The model never sees a letter before a model thinks, it shatters your text into tokens, and that one step explains half its quirks. Rayan Aljafar · 6 min MODELS Attention, the move that made transformers Every word asks a question; every word offers an answer. The match is meaning. Rayan Aljafar · 6 min FOUNDATIONS Embeddings, or how meaning becomes geometry Turn a word into a list of numbers, and distance becomes meaning. Rayan Aljafar · 6 min PRACTICE How to get far more out of an LLM The model finishes your sentence. Learn to start it well. Rayan Aljafar · 7 min AGENTS What we mean by “agentic” Why it isn't a bigger model or a longer prompt. Ziad Alrkadi · 4 min DESIGN Designing a presence, not a product An interface meant to be inhabited. Ebtisam Almudayni · 3 min AGENTS How an agent actually reasons Why an agent does the work instead of describing it. Hashem Osama · 4 min MEDIA Diffusion, in plain language How machines paint with noise. Ebtisam Almudayni · 5 min MODELS The context window, explained What a model can hold in mind at once. EINAI · 3 min XR Virtual production, demystified How the green screen disappeared. Rayan Aljafar · 4 min SYSTEMS RAG vs fine-tuning Two ways to give a model your knowledge. Hashem Osama · 4 min FOR KIDS How does a computer guess the next word? Type 'the cat sat on the' and you already feel the answer coming. A language machine works the same way. It guesses the next word, then the next, and a whole story appears one word at a time. EINAI · 2 min FOR KIDS How does a robot think? A thinking machine has no little person inside. It runs one small loop, fast: look, try, check, fix. Run it quickly enough and it looks exactly like thinking. EINAI · 2 min FOR KIDS Can I teach a computer? Nobody tells a computer the rules. You show it examples, and it teaches itself by being wrong, then a tiny bit less wrong, over and over, until it knows. EINAI · 2 min FOR KIDS How does a computer find one thing in a billion? A computer can find your one message in a pile of a billion, almost instantly. It does not look through them all. It uses a trick you already know from a guessing game. EINAI · 3 min FOR KIDS How does one computer serve the whole world? Somewhere, a computer is waiting. You send it a tiny note asking for a page, it sends the page back, and then it forgets you. Do that a million times a second and you have served the world. EINAI · 3 min FOR KIDS How does a message cross the world in a blink? Your message does not travel as one piece. It is chopped into tiny packets, each finds its own way across the planet, and they snap back together at the far end. No one is steering the whole trip. EINAI · 3 min Every piece here also lives inside EINAI, where you can run the interactive demos and speak to the agent directly.
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