AI Agents4 min read
How to Build a Memory Your AI Agents Can Actually Reuse
The useful part is not giving agents more context. It is making your research, notes, and sources available again in the next session.
AI engineering, explained clearly
Louis-François Bouchard makes AI accessible for builders.
Making AI Accessible. Co-founder at Towards AI. Ex-PhD at Mila. Practical articles, videos, courses, and training for people building with modern AI.
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AI News and Analysis9 min read
What Did Microsoft's MAI Model Actually Train On?
Why Microsoft removed AI-generated content from MAI-Thinking-1 pretraining, and what that choice reveals about the model.
Large Language Models8 min read
90% Cheaper GPT APIs
Why a 90% API discount can hide model swaps and expose your credentials, code, and repository.
AI Agents11 min read
Loop Engineering Explained
A practical way to stop babysitting coding agents: design their context, tools, checks, budgets, and stop conditions.
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AI Agents
Practical writing on AI agents, workflows, memory, tool use, reliability, and what actually ships.
Large Language ModelsClear explanations of LLMs, reasoning models, prompting, context, distillation, fine-tuning, and model behavior.
RAG and RetrievalGuides and explainers on retrieval augmented generation, vector databases, embeddings, indexing, and evaluation.
AI EngineeringRoadmaps, architecture decisions, evals, deployment lessons, and practical AI engineering advice.
Computer VisionComputer vision explainers on image generation, segmentation, 3D reconstruction, video, and visual AI research.
Generative AIHow generative AI models create images, video, audio, code, and text, without the hype fog.
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Latest articles
Recent notes from the AI frontier.
Large Language Models15 min read
How Image Generation Actually Works
Diffusion sculpts noise. Autoregressive models predict visual tokens. Here is how both turn prompts into images.
AI Agents17 min read
Coding Changed Forever
What changed in AI coding, why generated code can feel faster, and where engineering judgment still matters.
Large Language Models18 min read
How Google Went From AI Joke to OpenAI’s Biggest Problem
How Gemini, DeepMind, AI Studio, and Google's distribution turned a mocked chatbot launch into an OpenAI threat.
Computer Vision11 min read
Your AI Can Improve Itself — Or Fool You
How recursive AI improvement loops work, why weak evals reward the wrong behavior, and what builders can use now.
Large Language Models16 min read
AI Distillation Explained: The Truth Behind the Biggest AI Controversy Right Now
How model distillation works, why AI labs accuse rivals of copying, and where the ownership argument gets messy.
AI Agents8 min read
How to Control Bias in AI Agents
The guardrails, audits, and human review loops that actually work
AI Agents9 min read
Harness Engineering: The Missing Layer Behind AI Agents
Prompting tells an agent what to do. The harness controls its tools, permissions, tests, traces, and failures.
Large Language Models11 min read
Why RAG Is Not Training Your AI
RAG changes the context, not the model. Here is when retrieval helps, when it does not, and when to fine-tune.