Module · Go deeper
Go deeper on a topic
Six fields, each with a reading track drawn from the books that shaped it — and a guide that takes you one step further at a time, in the language you're reading. No course, no exam: pick a field and go as far as you like.
- IT security
How systems get broken, and why the weak part is almost always the human, not the cipher.
12 ideasEnter →CourseGRC + ISO 27001 — certification prep26 lessons - Artificial intelligence
From Turing's machine to today's models: what a machine can compute, and what it cannot.
20 ideasEnter → - Philosophy
The questions data cannot settle — and on which what you do with data depends.
456 ideasEnter → - Investing and economics
How prices form, why markets get it wrong, and what not knowing that costs you.
10 ideasEnter → - Intelligence analysis
How to reach a sound conclusion from information that is partial, sometimes false and rarely neutral.
38 ideasEnter → - Psychology of crowds
Why reasonable people, taken one by one, together do things none of them would do alone.
143 ideasEnter → - Aphorisms
From Marcus Aurelius to Cioran: one short sentence standing in for a chapter.
279 ideasEnter → - Time and entropy
Rovelli, Connes, Hawking, Penrose: why time flows one way, and whether it is fundamental at all.
28 ideasEnter → - Literature
Shakespeare, Dostoevsky, Wilde: the sentence a novel leaves behind.
336 ideasEnter → - Power and the polity
Machiavelli, Tocqueville, Mill: how power is taken, and what holds it.
103 ideasEnter → - Romanian history
The chroniclers, Cantemir, Bălcescu, Iorga: where this country comes from, and who wrote the story.
10 ideasEnter → - Data warehousing
A 27-lesson course, each with a book, a verified quotation and a video lesson to watch in place: from Codd and Inmon to the lakehouse and the data mesh, dimensional modelling and SCDs, ETL/ELT and quality, preparing data for AI, pseudonymisation, k-anonymity and differential privacy, security, cloud or on-prem, joins, indexes and memory.
27 ideasEnter → - Agentic AI
A 25-lesson course, each with a citable work, a verified quotation and a video lesson: what an agent is and why it is a loop, not a prompt; context engineering; workflows versus agents; tools, MCP and A2A; frameworks and their supply chain; routing between models, small models, LoRA and when fine-tuning pays; evaluations; on-prem or cloud; personal data, prompt injection, least privilege; human oversight and the AI Act; budgets and loops that never stop; RPA or agent; observability.
31 ideasEnter →
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