







The question of whether a computer can think is no more interesting than the question of whether a submarine can swim.
Experts Argue Whether Computers Could Reason, and if They Should (Published 1977)
Computer world is in midst of fundamental dispute over question of computer intelligence since MIT Prof Joseph Weizenbaum wrote book arguing that machines can never be made to reason like people and should not be; Weizenbaum por (M)
Chinese room
The Chinese room argument holds that a computer executing a program cannot have a mind, understanding, or consciousness, regardless of how intelligently or human-like the program may make the computer behave. The argument was presented in a 1980 paper by the American philosopher John Searle, entitled "Minds, Brains, and Programs" and published in the journal Behavioral and Brain Sciences.[1] Similar arguments had been made previously by others, including Gottfried Wilhelm Leibniz, Peter Winch, and Anatoly Dneprov. Searle's version has been widely discussed in the years since.[2] The centerpiece of Searle's argument is a thought experiment known as the "Chinese room".[3]
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...

“Computers enable fantasies” – On the continued relevance of Weizenbaum’s warnings
“The computer has long been a solution looking for problems—the ultimate technological fix which insulates us from having to look at problems.” – Joseph Weizenbaum (1983) Trying to kee…

A quote from Andrew Quinn
One could say in the first quarter-century of my life, that while I was always fascinated by programming, I could never overcome the guilt of not really knowing whether the …
AGIHound on Twitter / X
"Demis Hassabis says our brains are likely to be approximate Turing machines."Dear Lord. This Alan Turing worship never ends. It's a cult. 🤦♂️I research the visual system of the brain. I've come to understand that the most important principle of intelligence is the precise… https://t.co/isLnLqjFkw— AGIHound (@TrueAIHound) May 5, 2026
Conscious or Not
For as long as I remember, people have been arguing about whether machines could be intelligent or not.

Model Collapse Ends AI Hype
Unreasonable Effectiveness
Seriously: Machines Do Not Need to Think to Be Thought About 💡As I am immersed in PhD research I am at risk of becoming increasingly dense and nerdy. So I am adding a "nerd rating" to posts from now on, evaluating my estimation of how niche a post probably is.
Alexander Lerchner, The Abstraction Fallacy: Why AI Can Simulate But Not Instantiate Consciousness - PhilPapers
Computational functionalism dominates current debates on AI consciousness. This is the hypothesis that subjective experience emerges entirely from abstract causal topology, regardless of the underlying physical substrate. We argue this view ...

Alexander Lerchner, The Abstraction Fallacy: Why AI Can Simulate But Not Instantiate Consciousness - PhilArchive
Computational functionalism dominates current debates on AI consciousness. This is the hypothesis that subjective experience emerges entirely from abstract causal topology, regardless of the underlying physical substrate. We argue this view ...

</> htmx ~ Yes, and...
In this essay, Carson Gross discusses his advice to young people interested in computer science worried about the future given the advancements in AI.
What Is Intelligence? Lessons from AI About Evolution, Computing, and Minds | Blaise Agüera y Arcas
We're not taking the fact-checking powers of AI seriously enough. It's past time to start.
Some notes on the Nobel Prize hallucination that wasn't

Ultra-Processed Information: AI and the Coming Deluge of Noise | Frankly 128
Thinking about how computers can support intentional work. youtube.com/watch?v=Q7pbAW470qA
Attention architecture - thinking about todos, timeblocks, and calendars
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