Existential Risk from Artificial Intelligence
A 2022 survey of AI researchers with a 17% response rate found that the majority believed there is a 10 percent or greater chance that human inability to control AI will cause an existential catastrop…
A 2022 survey of AI researchers with a 17% response rate found that the majority believed there is a 10 percent or greater chance that human inability to control AI will cause an existential catastrop…
U.S. Senators Mark Warner (D-VA) and John Cornyn (R-TX) introduced a bill requiring developers of the most powerful AI systems to include a 'kill switch' allowing humans to shut them down in emergenci…
A developer created a series to demystify reinforcement learning by tracing its evolution chronologically, from early psychology and mechanical machines to modern mathematical breakthroughs. The serie…
Jürgen Schmidhuber's Gödel Machine, a hypothetical self-improving AI that requires proof before modifying itself, remains unimplemented, but its ideas persist in modern AI research through self-modify…
Reaction-Diffusion Playground, a web-based simulation tool released in 2020, allows users to explore Turing's 1952 reaction-diffusion model, which explains pattern formation in nature, by adjusting pa…
Generative AI is an imitation machine that cannot truly design or invent, argue design experts in an opinion piece. The authors, drawing on a decade of design experimentation with generative systems, …
In an essay crossposted from his website and edited with Claude Fable (Anthropic), the author argues that the scientific method's essence is intuition, not deduction, and that reasoning serves to cons…
In an August 5, 2026 opinion piece on I Programmer, author Mike James argues that the question of whether AI can be conscious is meaningless because no Turing test exists for consciousness, unlike int…
Alan Turing (1912–1954), the mathematician and logician who laid the foundations for modern computing and artificial intelligence, is remembered for his 1936 Universal Turing Machine concept and for c…
Alan Turing, the British mathematician and computer scientist who helped crack the Enigma code during World War II, is being celebrated in a wave of internet memes that highlight both his genius and t…
The Stanford Encyclopedia of Philosophy's entry on the Computational Theory of Mind (CTM), first published October 16, 2015, and substantively revised December 18, 2024, argues that the mind is a comp…
Researchers propose 'adversarial psychometrics' to measure AI intelligence beyond human scale, where participants generate questions and are rewarded for separating each other's capabilities without a…
The term 'singularity' is widely misused as a synonym for AGI or ASI, but its original meaning — first articulated by John von Neumann in the 1950s and refined by Vernor Vinge in 1993 — refers to a po…
A new project aims to build a single AI system that can teach itself to play any board game from just the rules and components, without game-specific programming. The effort is framed against 75 years…
Computer scientist Peter J. Denning argues in a new analysis that artificial intelligence may never achieve human-level intelligence because tacit knowledge—including common sense, practical skills, a…
Iain Harper argues that the AI industry's promise of safety guarantees is mathematically unsupported, tracing the limits of rule-based systems from Kurt Gödel's 1931 incompleteness theorems through Al…
A new book by computer scientist Peter J. Denning argues that artificial intelligence research has been built on a flawed assumption from Alan Turing's 1950 paper, making true human-level AI impossibl…
A mathematician named Norbert Wiener sent a letter in 1949 warning about the dangers of intelligent machines, but his concerns were ignored. The piece traces the history of AI safety concerns from Wie…
The June Solstice Game Jam challenged developers to create games around the theme of the longest day of the year, resulting in over a hundred diverse entries spanning puzzle games, sci-fi thrillers, h…
A developer argues that production AI systems must wrap stochastic large language models inside deterministic software shells to ensure reliability. The approach uses constrained decoding, finite stat…