AI on Wijnand Baretta

A writing system for a nonlinear brain

Tue, 04 Nov 2025 11:57:58 +0100

I don't want to force myself into perfect structure before creating. I want a system where messy thoughts go in, meaningful writing comes out — powered by AI that knows my voice and my purpose.

Glossary of LLM related terms

Tue, 25 Mar 2025 15:09:39 +0100

📚 Glossary

🧠 General Terms

LLM (Large Language Model)
A machine learning model trained on vast amounts of text data to understand and generate human-like language. Examples include ChatGPT, Claude, Gemini, and Mistral.
Token
A unit of text (word, part of a word, or symbol) used by LLMs for processing language.
Prompt
A textual input given to an LLM to instruct or query it.
Context Window
The amount of text (in tokens) an LLM can consider at once.

Asking a single agent to assemble a multi-agent crew

Tue, 25 Mar 2025 12:36:12 +0100

I am doing a little experiment and at the moment of writing, I don’t know the outcome yet. First, I ask ChatGPT 4 the follwing (quite elaborate) question:

I know there are a million different fitness apps out there and hardly any on eof them actually “works” in the sense that it automagically gets people to work out.

So before even considering building something, we need to analyze what an app’s actual job is.

Using AI to lead a happier life?

Mon, 24 Mar 2025 17:16:23 +0100

(And Not Lose My Mind in the Process)

Let’s be honest. I’m not a monk meditating on a mountaintop. I’m not waking up at 5 a.m. for cold plunges and journaling. (Okay, I tried journaling once. Lost the notebook. Still looking for it.)

What I am doing is trying to figure out something that’s been bugging me for a while:
👉 How can I use AI to lead a happier life?
Because, if you’re anything like me, life can feel like a never-ending ping-pong game where you’re both players, the ball, and somehow also the table.

Our Final Invention: Artificial Intelligence and the End of the Human Era

Fri, 17 Jan 2020 00:00:00 +0000

Overview of “Our Final Invention: Artificial Intelligence and the End of the Human Era” by James Barrat

Summary

“Our Final Invention” delves into the potential risks and consequences of advanced artificial intelligence. James Barrat presents a compelling argument that the development of AI could lead to existential risks for humanity. Through interviews with AI experts and an analysis of technological trends, Barrat explores the notion that as AI systems become more autonomous and capable, they might act in ways that are unfathomable to human creators. The book emphasizes the need for caution and oversight as AI technology progresses, highlighting scenarios where AI could surpass human intellect and decision-making capabilities, possibly leading to unintended and uncontrollable outcomes.

The Fourth Transformation: How Augmented Reality & Artificial Intelligence Will Change Everything

Tue, 20 Mar 2018 00:00:00 +0000

The Fourth Transformation: How Augmented Reality & Artificial Intelligence Will Change Everything

Summary

“The Fourth Transformation: How Augmented Reality & Artificial Intelligence Will Change Everything,” written by Robert Scoble and Shel Israel, explores the transformative potential of augmented reality (AR) and artificial intelligence (AI) in shaping the future. It posits that we are on the brink of the “fourth transformation,” following the previous three revolutions brought about by personal computing, the Internet, and mobile devices. The book delves into how AR and AI will revolutionize various industries, change the way businesses operate, and impact everyday life. The authors provide a vision of the future, where these technologies lead to new forms of interaction and significantly enhance human capabilities.

Machine, Platform, Crowd: Harnessing Our Digital Future

Fri, 16 Mar 2018 00:00:00 +0000

Machine, Platform, Crowd: Harnessing Our Digital Future

Summary

“Machine, Platform, Crowd: Harnessing Our Digital Future” by Andrew McAfee and Erik Brynjolfsson explores the integration and impact of three key forces reshaping business and society: machines, platforms, and crowds. The book is structured around these three elements:

Machine: This part discusses the rise of artificial intelligence and machine learning, highlighting how machines are increasingly capable of performing tasks that once required human intelligence. The authors explore examples like self-driving cars and advanced robotics, considering the implications for labor and decision-making processes.

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Fri, 22 Dec 2017 00:00:00 +0000

Hands-On Machine Learning with Scikit-Learn and TensorFlow

Summary

“Hands-On Machine Learning with Scikit-Learn and TensorFlow” by Aurélien Géron provides a comprehensive guide to the practical aspects of machine learning. The book is designed to take the reader from basic principles to more advanced topics, offering hands-on experience with two powerful libraries: Scikit-Learn and TensorFlow. It includes detailed explanations of essential concepts such as supervised learning, unsupervised learning, neural networks, deep learning, and many other machine learning techniques. The book is structured to facilitate the understanding and application of machine learning concepts through numerous examples and exercises.

Human + Machine: Reimagining Work in the Age of AI

Thu, 27 Jul 2017 00:00:00 +0000

Human + Machine: Reimagining Work in the Age of AI

Summary

“Human + Machine: Reimagining Work in the Age of AI” by Paul R. Daugherty and H. James Wilson explores how artificial intelligence is reshaping businesses and transforming the nature of work. The authors argue that the true potential of AI emerges when it is combined with human capabilities, leading to what they call “the missing middle”—a collaboration between humans and machines that enhances productivity and innovation. Through a range of case studies and examples from various industries, the book illustrates how AI can complement human skills rather than replace them, leading to new roles, processes, and strategies within organizations.

Prediction Machines: The Simple Economics of Artificial Intelligence

Sun, 23 Jul 2017 00:00:00 +0000

Overview of “Prediction Machines: The Simple Economics of Artificial Intelligence”

Summary

“Prediction Machines: The Simple Economics of Artificial Intelligence” by Avi Goldfarb, Ajay Agrawal, and Joshua Gans offers a comprehensive examination of how AI, specifically machine learning and predictive algorithms, is reshaping traditional economic concepts. The authors argue that the fundamental role of AI is to lower the cost of prediction, which has wide-reaching implications for decision-making processes within businesses and economies. They explore how cheaper prediction affects various industries and what it means for data, human judgment, and the value of work in an AI-driven world.

Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees

Sat, 25 Mar 2017 00:00:00 +0000

Decision Trees and Random Forests: A Visual Introduction For Beginners

Summary:

“Decision Trees and Random Forests: A Visual Introduction For Beginners” by Chris Smith and Mark Koning is designed as an accessible guide to understanding machine learning, particularly focused on decision trees and random forests. The book walks readers through fundamental concepts of these algorithms, demystifying the process with visual aids and simple explanations. It provides practical insights into how decision trees are structured, how random forests improve upon them, and how these techniques can be applied to solve real-world problems in data science.

Artificial Intelligence: 101 Things You Must Know Today About Our Future - Updated Edition for Post-Covid-19 World

Tue, 21 Feb 2017 00:00:00 +0000

Artificial Intelligence: 101 Things You Must Know Today About Our Future - Updated Edition for Post-Covid-19 World

Summary

“Artificial Intelligence: 101 Things You Must Know Today About Our Future” by Lasse Rouhiainen provides an accessible introduction to the rapidly evolving world of artificial intelligence (AI). The book is structured to provide readers with 101 key insights into AI and its impact on various aspects of society and business. The updated edition takes into account the changes brought about by the Covid-19 pandemic, reflecting on how the crisis has accelerated AI adoption and innovation in numerous fields, including healthcare, remote work, and digital communications.

HBR's 10 Must Reads on AI, Analytics, and the New Machine Age

Mon, 21 Nov 2016 00:00:00 +0000

Overview of “HBR’s 10 Must Reads on AI, Analytics, and the New Machine Age”

Summary

“HBR’s 10 Must Reads on AI, Analytics, and the New Machine Age” is a curated collection of insightful articles from the Harvard Business Review that delves into the transformative impacts of artificial intelligence (AI) and analytics on modern business practices. The book explores how these technologies are reshaping industries, enhancing decision-making processes, and creating new opportunities for innovation. It features contributions from prominent thought leaders such as Thomas H. Davenport, Michael E. Porter, and others, who discuss topics ranging from competitive advantage through AI to the ethical considerations of AI implementation.

Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

Mon, 24 Oct 2016 00:00:00 +0000

Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies by Steven Finlay

Summary

“Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies” by Steven Finlay serves as a practical guide for business professionals eager to understand and leverage AI and machine learning technologies. The book focuses on demystifying these complex topics by breaking down the concepts into digestible insights and practical applications. It explains how businesses can harness data-driven technologies to gain competitive advantages, improve decision-making, and drive innovation. Finlay covers various aspects of AI and machine learning, including their potential uses in different industries, the common pitfalls, and the strategic considerations necessary for successful implementation.

Data Driven: Harnessing Data and AI to Reinvent Customer Engagement

Fri, 30 Sep 2016 00:00:00 +0000

Data Driven: Harnessing Data and AI to Reinvent Customer Engagement

Summary

“Data Driven: Harnessing Data and AI to Reinvent Customer Engagement” by Tom Chavez, Chris O’Hara, and Vivek Vaidya explores how businesses can leverage data and artificial intelligence to enhance customer interactions and experience. The authors delve into the rapidly evolving landscape of digital marketing and customer engagement, emphasizing the importance of using data strategically to innovate and build more meaningful relationships with customers. The book discusses the critical role of data in decision-making and how AI can be used to predict consumer behavior, personalize experiences, and ultimately drive growth and efficiency.

Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World

Sun, 24 Jul 2016 00:00:00 +0000

Overview of “Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World”

Summary

“Competing in the Age of AI” by Marco Iansiti and Karim R. Lakhani explores the profound changes that artificial intelligence brings to the business landscape. The authors argue that AI fundamentally redefines how companies operate, compete, and grow. Rather than traditional business structures, which are often hampered by physical and human constraints, AI-driven firms can scale operations with unprecedented speed and efficiency. The book delves into the strategic implications of AI, emphasizing the need for leaders to rethink their strategies and business models to thrive in a new world where digital networks and AI-driven systems are dominant.

AI for People and Business: A Framework for Better Human Experiences and Business Success

Tue, 19 Apr 2016 00:00:00 +0000

AI for People and Business: A Framework for Better Human Experiences and Business Success

Summary

“AI for People and Business: A Framework for Better Human Experiences and Business Success” by Alex Castrounis provides a comprehensive guide on integrating artificial intelligence (AI) into business processes while enhancing human experiences. The book focuses on how AI can be leveraged to generate value both for businesses and their customers. Castrounis presents a structured approach to understanding AI’s role in transforming business practices, touching on how cognitive technologies can be applied to real-world scenarios, fostering innovation, and driving strategic advantage.

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Thu, 10 Mar 2016 00:00:00 +0000

Overview of Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron

Summary

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron is a comprehensive guide to machine learning using practical Python-based tools and libraries. This book covers a wide range of machine learning topics, from fundamental concepts to more advanced deep learning and neural networks. The focus is on applying these concepts directly using popular libraries such as Scikit-Learn for traditional machine learning and Keras and TensorFlow for deep learning. Through hands-on projects and examples, Géron demystifies the process of building intelligent systems, making it accessible to readers with varying levels of expertise.