Equipo y capacidades
Trabajo con supervisión humana, competencias y adopción de IA en el equipo.
-
julio de 2026
The Illusion of Labour
It feels familiar. We sit down to complete a difficult task and instead find ourselves engineering prompts for an artificial intelligence chatbot. It feels productive. It requires typing, reading, and evaluating output. You may sit on 3-4 different chat windows and typing, “Yes”, “Go for it”, “Option 1”, changing tabs to see what’s finishing. Yet, hours…
Leer en Substack → -
junio de 2026
Ways to View AI, Part 2: Tasks, Prices, and Frames
Part 1 traced the economic divide AI is opening between countries and within them, and offered three ways to view it: audit the scary numbers, ask whether AI complements or substitutes your work, and follow the capital. This part is about what those framings miss: the instruments we use to measure work, the prices of the work AI can’t touch, and the ros…
Leer en Substack → -
junio de 2026
Ways to View AI (Part 1)
Everybody carries some anxiety about what an AI future looks like. Is it going to make us all obsolete? Are we going to be doing the grunt work while AI is going to be taking over the creative tasks? Will this thing do my job better than I can? It often feels like it’s a better writer than me or at least a much faster writer but then I have to correct a…
Leer en Substack → -
enero de 2026
The 10 Commandments for Brain-Friendly AI Use
We’ve all been witnessing the rise of powerful chatbots that shocked all of us with this spark of language that we thought only humans are capable of and there was a lot to learn and to catch up on. One of the most powerful things however was to learn about human value in the world and about things that you can’t automate.
Leer en Substack → -
enero de 2026
Learning with AI without the Brain Drain
Let’s face it: Chatbots and LLMs can speed up extracting and synthesising information a lot. It’s like when Wikipedia just came out and was widely discouraged as an authoritative source for research. Today, we are slowing coming to terms with what AI can do for us, and we are finding out
Leer en Substack → -
-
julio de 2025
How to Build AI-First Systems with Human Guidance
Today, AI is no longer just an “assistant” to humans—it’s rapidly becoming the core executor within systems. Cosimo Spera and Garima Agrawal propose flipping the traditional “human-led, AI-assisted” paradigm; build AI-First systems, where AI leads and humans provide strategy, ethics, and oversight in the loop.
Leer en Substack → -
-
junio de 2025
Human in the Loop
Imagine you’ve asked an AI model to draft a critical business proposal, and it generates a complete—but subtly off—document. Without a human reviewing it, that small misalignment could lead to missed opportunities or misunderstandings. This is where Human in the Loop (HITL) becomes not just helpful, but essential.
Leer en Substack → -
junio de 2025
Beyond the Algorithm
As a Maths student at Imperial working through problem sheets, coding labs, and club activities, I’ve noticed AI assistants becoming part of my daily routine. Within minutes, the AI suggested a corrected loop structure, recommended vectorised NumPy operations, and even drafted clear comments.
Leer en Substack →
Qué hacemos en esta área
Los servicios detrás de lo que se lee arriba.