Knowledge Base

If you are deciding whether to let Copilot answer from your SharePoint, to build an agent around your own search index, or to do both, and want to know what Microsoft's integration really saves you, what it does not, and what the independent vendors now offer in its place, this is the comparison, with prices and the conditions under which each route works.

If you have ever wondered whether an AI "really" wants anything, or whether the alarming experiments about models that deceive their trainers prove more than a clever prompt, this entry gives you the questions a philosopher would ask, the tests an engineer can run, and the honest answer for October 2026: attribution is legitimate, local and revisable; mechanism is within reach for narrow states and out of reach in general; and alignment follows from goal-directedness, not from consciousness.

If you are about to let an AI agent act on your systems — read files, run commands, call APIs, send messages — and need to know which controls exist, which are on by default and which you will have to build, this is what the market offered in October 2026, where the vendors converge, and the gaps that none of them closes.

If you buy, build or govern AI systems in a company and want to know what the 2026 conference season is telling you, this is what the largest AI summit in southern Europe said about agents in production, security, sovereignty and cost, where the speakers disagreed, and what the organiser's figures do not show.

If you let an AI agent read your repositories, run a model gateway, or hold vendor API keys, this is what six months of incidents say about where the next breach comes from, and the four measures those incidents add to the usual list.

If you run or advise an organisation that uses AI tools, or are about to, this is where the existing security rules stop, what a language model changes that no firewall sees, and the six steps that cost almost nothing.

If you have ever let an AI tool act for you, or are deciding whether to, this is where the line between answering and acting now runs, who draws it, and the four settings that decide what happens in your name.

If you have ever wondered why "Claude" is sold as an app, a developer tool, a cloud session and an Amazon product at the same time, this is the one-page map of the doors, with where each runs, who pays and what differs, as of October 2026.

If you want to know what a leading AI company actually asked religious thinkers, and what they answered, this review of the New York Times investigation sorts facts from framing — and finds the strongest objection in an encyclical.

If you own risk data at a bank, this is what supervisors now expect you to see, and how fast — from the 2013 principles to the ECB guide of 2024.

If you let an AI assistant act on your instructions, know that the next instruction in your input box may not be yours.

If you model an economy with one representative agent, here is what changes when you give it thousands — from 2001 to today's LLM agents.

If your AI strategy is ready but nothing ships, twenty Belgian institutions explain the execution gap.

If you must show who uses generative AI before the AI Act asks, this register takes an hour of clicks and no premium licence.

If you test against the wrong environment, or leave one running, fourteen clickable slides show how to isolate, reproduce and tear down.

If you have ever wondered which Microsoft portal does what, fourteen clickable slides map the whole chain.

If you are reading Searle's 1997 book, this chapter-by-chapter report and annotated 2025 literature review keep pace with it.

If you want to see where the science of consciousness chose its questions, one philosopher graded six rival theories in 1997 — a two-page synthesis.

If you keep API keys in a private repository, read this before the next backup runs.

If you ever had to defend a project with a zero NPV, this is the method that values what DCF ignores.

If "a human will check" is your safeguard, the authors explain why it wears out.

If you brief a board on risk, this is where AI entered the list, and how fast.