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A discussion on how the definition of AGI is being revised over time, often to exclude the capabilities of the latest AI models.
Foreign Affairs analysis of U.S. policy options for handling artificial superintelligence, weighing supremacy, shared development, suppression, and prudent hedging amid rising AI risks and geopolitical competition.
An article or post speculating that artificial general intelligence (AGI) could arrive in August, discussing the possibility and implications.
A tweet poses a hypothetical question about what achievement would prove that GPT-6 has attained AGI, suggesting options like a Nobel-level discovery.
Amazon has laid off employees in its Artificial General Intelligence unit but reaffirms its commitment to AI investment.
Demis Hassabis published a framework on AGI, arguing it is a few years away and could have an economic impact 10 times that of the Industrial Revolution. He also proposes a public-private Frontier AI Standards Body modeled on FINRA for pre-deployment testing and risk evaluation.
John Carmack discusses his belief that the code for artificial general intelligence could be written by a single individual, estimating a 55-60% chance of signs of life by 2030.
Explores common assumptions about who will control AGI, questioning whether it will remain in the hands of governments and billionaires.
This paper presents an information-processing theory of consciousness and argues that instantiating conscious subsystems in AI could enable superior adaptation without extensive training, potentially leading to AGI.
A speculative discussion on whether AGI will emerge from LLMs or alternative technologies like quantum computing.
A user asks for expert clarification on the apparent consensus that AGI and ASI are inevitable within a decade, expressing concern about timelines, alignment, and personal implications.
This survey paper systematically reviews the paradigm evolution of unified vision-language perception in multimodal large language models (MLLMs), proposing a five-stage taxonomy and identifying open challenges toward general multimodal intelligence.
Ray Kurzweil predicts that AGI will be achieved by 2029, human lifespan will significantly extend after 2032, AI will eventually merge with the human body, and he emphasizes the importance of thinking in terms of exponential growth.
This paper proposes DAF-AGI, a conceptual framework based on Design Science Research Methodology for adjudicating claims about artificial general intelligence. It treats the contested nature of AGI definitions as a design and governance problem, offering ordinal criteria and a governance audit to evaluate candidate definitions.
A Google DeepMind research report explores the transition from human-level artificial general intelligence (AGI) to artificial superintelligence (ASI), discussing potential pathways such as scaling, paradigm shifts, recursive improvement, and multi-agent collectives, as well as bottlenecks and open research questions.
A discussion or prediction about the potential arrival of Artificial General Intelligence (AGI) by 2030.
A debate on whether AGI is inevitable or facing a wall, weighing AI self-improvement and reasoning against issues like lack of understanding, power constraints, and shifting goalposts.
Microsoft AI CEO Mustafa Suleyman discusses the near-term possibility of superintelligence, the company's restructured relationship with OpenAI, and new frontier models, asserting that AI will not replace human jobs.
Experts estimate a 50% chance of achieving AGI by 2050, 75% by the mid-2060s, and 95% by 2090.
This paper argues that large language models struggle with causal reasoning and long-horizon planning due to a mismatch between sequence prediction and reasoning over latent environment dynamics, and introduces the Latent Dynamics Inference perspective along with the Flux environment to study these limitations.