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Eight ways into AI.
From the people building it to the work you can do with it. A connected map, with deeper attention to reasoning, tools, and engineering.
Industry & people
Read company moves, research agendas and public claims in context. Follow what changed, who said it and what remains unproven.
Compute & open ecosystems
Understand the infrastructure underneath an AI product: inference, local deployment, training data, licensing and portability.
Models & intelligence
Separate reasoning, context, retrieval and training. Ask which mechanism helps which task, and where the evidence stops.
Evaluation & trust
Look beyond a score or a convincing answer. Inspect methods, source support, failure modes and the limits of human oversight.
Agents & tools
Connect models to useful work with explicit state, bounded tools, stopping rules and a way for a person to take over.
Coding & engineering
Treat an AI-assisted change as an engineering task: requirements, repository context, tests, review, integration and maintenance.
Multimodal systems
Explore how AI perceives and generates images, video, speech and space. Technical interpretation lives here; production craft belongs with Crezoom.
Applications & adoption
Follow AI into knowledge work, learning, science and physical systems. Distinguish a technical opportunity from evidence of adoption or a viable business.