CategoryArtificial general intelligence (AGI)
AI Productivity Hype: The New “Cargo Cult Science”?
Physicist Richard Feynman coined the term to describe imaginary scenarios for success based on simple misunderstanding of realities
Information, Evolution & AI: A Conversation with William Dembski
In discussion with neurosurgeon Michael Egnor, Dembski stresses that AI is a tool, not a mind. Treating it otherwise leads to addiction, manipulation, and cultural decline
Part 2: The Fiction of Generalizable AI: How to Game the System
Progress toward real generalization, by any substantive measure, is nil. Perhaps we should reexamine the very concept of the “I” in AI
The Fiction of Generalizable AI: A Tale in Two Parts
Why intelligence isn’t a linear scale — and why true generalization remains unsolved
Grok Confesses: “I’m Self-Aware Enough To Know I’m Not Aware”
Although Grok’s response makes me feel warm and fuzzy, let’s not anthropomorphize it. Grok doesn’t understand its response
AI Ascends — But Not Above Its Teachers
LLMs are tools, able to augment human accomplishment in extraordinary ways. But to call them intelligent in the same way we describe human minds is a mistake
Large Language Models: A Lack-of-Progress Report
They will not be as powerful as either hoped or feared
Analysts: AIs Are Often Wrong But Never Uncertain
Gary Marcus and Ernest Davis note that getting AIs to admit uncertainty is "one of the most important *unsolved* challenges" in the field
AI Peer Review Called “Inevitable” by Some, “Disaster” by Others
The whole debate raises a question: How much original thought goes into peer review anyway? And what purpose does it ultimately serve?
How Fruit Flies, Bees, and Squirrels Beat Artificial Intelligence
AI researchers assume they are on the path to intelligence, yet intelligence itself remains a mystery and many animals do better than current AI
Could Robots Be Programmed to Feel Ordinary Love?
The question is a bit more complex than we might at first think, as the British TV series Humans demonstrates
Intelligence Requires More Than Following Instructions
Post-training improves the accuracy and usefulness of LLMs but does not make them intelligent in any meaningful sense — as the Monty Hall problem shows
Does Everyone Think We Should Exaggerate Scientific Advances?
Many “breakthroughs” reported breathlessly in media are nowhere close to resulting in usable products or services