Why computers can in principle produce thinking and understanding
Why I believe current AI models can really think and understand - Part 1 of 2
How the human mind is different from our conception of it
Are We Thinking Correctly About AI Intelligence? | Quanta Magazine
Computer scientist Melanie Mitchell discusses why artificial intelligence doesn’t “think” or “reason” like humans, and how we can create better methods for measuring machine cognition.
Machine god metaphors eat your brain
There are other ways of thinking about AI
How AI Is Learning to Think in Secret — LessWrong
On Thinkish, Neuralese, and the End of Readable Reasoning • ---------------------------------------- …
Machine understanding
What do artificial intelligence (AI) systems “understand”? This question arises not only in assessing a system’s intelligence but also in evaluation practices to ensure the safe and responsible deployment of AI. Drawing on scholarship from philosophy and cognitive science, and informed by current practices in AI, we develop a framework for asking more precise questions and making more precise claims about machine understanding. We conceptualize understanding as a relation between a system (S) and a target of understanding (T), and we discuss how to specify the relation, the system, and the target, offering a landscape of options in each case. Our goal is not to defend a particular account of understanding, but to provide conceptual tools for those working to assess or advance machine understanding.
My Thoughts on AI, Part 1: Fears, Opinions, and Mental Journey
My own personal thoughts and opinions on AI effects and usage, and how those have evolved over time
Model Collapse Ends AI Hype
Introducing interaction models | Thinking Machines Lab
AI is Creating Peak Software, Media is the Best Analogy
Let's learn more about the world's most important manufactured product. Meaningful insight, timely analysis, and an occasional investment idea.
The Thoughts The Civilized Keep
The hype around a new AI language generator reveals the sterility of mainstream thinking on AI today — and indeed on how we think about thinking itself.
AI made me doubt everything about programming by Felienne Hermans - DDD Europe 2026
AI made me doubt everything about programming by Felienne Hermans - DDD Europe 2026
AI: A Guide for Thinking Humans | Melanie Mitchell | Substack
I write about interesting new developments in AI. Click to read AI: A Guide for Thinking Humans, by Melanie Mitchell, a Substack publication with tens of thousands of subscribers.
On working machines
In part one, on thinking machines, I explored two facets of the philosophy of artificial intelligence: “intelligence”, and consciousness. That left an important topic to consider for this post: the...
Thinking—Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning and the Rise of Cognitive Surrender
People increasingly consult generative artificial intelligence (AI) while reasoning. As AI becomes embedded in daily thought, what becomes of human judgment? We
