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AGI and the Limits of Value Production
new Abstract: This paper develops a political-economy model of artificial general intelligence (AGI) as a technology that progressively substitutes living labor with machine-based productive systems. The model studies the transition from the first moment at which AGI becomes economically capable of replacing labor to the later moment at which AGI becomes technically and actually capable of near-complete replacement. The central distinction is between technical substitutability and actual...
Google AI CEO Demis Hassabis on AGI: Humans only have a few years left to prepare
Demis Hassabis, CEO of Google DeepMind recently issued one of the starkest AI warnings. According to a report by Axios, speaking at the company’s annual developer conference, Hassabis said that humanity is standing in the ‘foothills of the singularity’ and has only a few years left to prepare for artificial general intelligence (AGI). Speaking to Axios after this keynote, Hassabis said that his prediction that AGI could arrive in as little as four years reflects growing confidence that the...
Executable World Models for ARC-AGI-3 in the Era of Coding Agents
arXiv:2605.05138v2 Announce Type: replace Abstract: We evaluate an initial coding-agent system for ARC-AGI-3 in which the agent maintains an executable Python world model, verifies it against previous observations, refactors it toward simpler abstractions as a practical proxy for an MDL-like simplicity bias, and plans through the model before acting. The system is intentionally direct: it uses a scripted controller, predefined world-model interfaces, verifier programs, and a plan executor,...
Structural Grid Descriptors Predict Within-Task Solver Success on ARC-AGI
arXiv:2606.09026v1 Announce Type: new Abstract: We ask whether structural properties of intermediate grid states predict whether a symbolic ARC-AGI solver will succeed, framed as a test of conditional mutual information I(X;Y|task) > 0. Across 44,800 runs spanning two architecturally distinct solvers (beam search and Stochastic DFS), 400 ARC tasks, 28 configurations per solver, and both training and evaluation splits, hand-crafted grid descriptors measured at 50% trajectory completion...
Post-AGI Economies: Superposition and the Second Fundamental Theorem of Welfare Economics
arXiv:2606.08267v1 Announce Type: new Abstract: The classical Second Welfare Theorem decentralizes any Pareto efficient allocation through prices and transfers under convexity and regularity. In post AGI economies, autonomy rights, self-modification, identity continuity, and superposed preferences need not behave as commodities or define a stable welfare relation, so this reduction may fail even when a supporting hyperplane exists. We give an autonomy-qualified Second Welfare Theorem stating...
Reproducibility is the New Copyleft: Defining AGI-oriented Reproducible Builds
arXiv:2606.03019v1 Announce Type: new Abstract: Copyleft, as implemented in licenses such as the GNU General Public License, was a legal hack that used copyright to guarantee user freedom by tying the availability of source code to every act of distribution. Its normative force rested on an implicit technical premise: that source code and object code stand in a well-defined, humanly auditable, and reproducible relationship. Large language models and, prospectively, Artificial General...
A Motivational Architecture for Conversational AGI
arXiv:2606.05411v1 Announce Type: new Abstract: Motivational architectures in cognitive AI have largely been designed for physical agents regulating bodily needs. Conversational agents operate in a different regime: their sensorimotor loop is linguistic, their environment is a user's evolving mental state, and their consequential actions are speech acts, tool invocations, and strategic silences. This paper proposes a conversational reinterpretation of the OpenPsi motivational lineage,...
China poaches more AI talent from the U.S. as it eyes the next 'super-app'
BEIJING — A former OpenAI researcher is now chief AI scientist for Tencent in China, and wants to build artificial general intelligence. It's a sign of a shift in the U.S.-China tech race. AI with human-level or above capabilities (AGI) has long been the goal of U.S. companies such as OpenAI, Anthropic and Alphabet, which acquired British startup DeepMind.
DxPTA: An Architecture Design Space Exploration with Optical Dataflow-guided Strategy for HW/SW Co-Design of Photonic Transformer Accelerators
arXiv:2606.06515v1 Announce Type: new Abstract: Transformer-based networks have emerged as prominent AI models with state-of-the-art performance, which potentially pave the way toward artificial general intelligence (AGI). However, their large sizes still hinder their efficient implementation, thus highlighting the need for alternate solutions to enable their energy-efficient acceleration. Recently, state-of-the-art works propose photonic transformer accelerators (PTAs) with significant...