Tag
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.
The article notes that AI-generated visually realistic content is becoming the norm, and claims we have entered the era of artificial general intelligence.
A new paper redefines AGI as adaptability under constraints (compute, memory, energy) and proposes an 'artificial scientist benchmark' focusing on autonomous discovery of cause and effect, rather than human-level performance on fixed tasks.
Demis Hassabis suggests that the Singularity could be just a few years away, potentially triggered by the arrival of true AGI.
DeepSeek is raising a $10.29 billion financing round, with founder Liang Wenfeng reaffirming a commitment to open-source AI development and long-term AGI goals over short-term commercialization.
Demis Hassabis stated at Google I/O that artificial general intelligence is just a few years away, marking a significant shift from his previously more conservative timeline of 5-10 years.
Garry Tan comments on the current state of AI in San Francisco, comparing it to early AGI with high costs and a priesthood of builders, but predicts personal AI becoming ubiquitous.
The article introduces 'The System of No' as a framework for evaluating artificial general intelligence, emphasizing distinction, refusal, and jurisdiction over human imitation. It uses Anthropic's Claude Mythos as a case study to highlight the dual-use risks of advanced AI, where capability crosses into consequence, and critiques current safety policies as potentially counterfeit governance.