On people who use AI to think.
Moll on Twitter / X
I love posts like this so much. And it’s true - I think the best, most interesting results come specifically from a connection that isn’t «user and AI», but a human and his partner in thought.When a person simply uses a tool, they essentially remain alone. But when there are… https://t.co/InRvY56631— Moll (@Moleh1ll) June 28, 2026
Machine god metaphors eat your brain
There are other ways of thinking about AI
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.
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
Artificial intelligences and human scientists exhibit...
We investigate the effectiveness of artificial intelligences (AI)-specifically large language models (LLMs)-relative to human scientists at high-level cognitive tasks in social science such as...
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.
Why I believe current AI models can really think and understand - Part 2 of 3
Why computers can in principle produce thinking and understanding
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.
How AI Is Learning to Think in Secret — LessWrong
On Thinkish, Neuralese, and the End of Readable Reasoning • ---------------------------------------- …
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
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...
The Philosophy of Language Models
ABSTRACT The success of large language models (LLMs) across many domains of AI research has generated intense debate. Some attribute their impressive performance on complex tasks to human‐like linguistic and cognitive capacities, whereas others ascribe it to shallow pattern matching. These disputes stem from deep‐seated philosophical disagreements about the nature of language and cognition. We provide an opinionated survey of these disagreements across core topics in the philosophy of mind and language, including syntactic competence, compositionality, linguistic meaning, representation, attitudes, reasoning, agency, and consciousness. We contend that progress on these issues requires not only clarity about background philosophical commitments but also, in many cases, close engagement with emerging empirical evidence.
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
Can an AI tell its own words from yours? This is "reality monitoring." In humans, failing at it is linked to hallucinations and delusions. In this work we investigated reality monitoring in 6 LLMs of different sizes in collaboration with @lazyneuron.bsky.social and @brianodegaard.bsky.social.
