This paper investigates how frontier AI models respond to prompts asking them to design their own architectures, finding that they tend to converge on a shared pattern of persistent latent state and adaptive computation. Practitioners might care because this suggests that AI models are capable of independent imagination and potentially sharing design principles.
Firehose
Filtered to tagged “cognitive architectures” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News · Deep dives
Browse by tag
artificial intelligence 89continual learning 27AI 23AI safety 13reinforcement learning 13agentic coding 12open-weight models 12AI agents 10machine learning 9AI ethics 8cybersecurity 8existential risk 8language models 8natural language processing 8ethics 7Reinforcement learning 6Diffusion models 5large language models 5multi-agent systems 5open-source 5recursive self-improvement 5robotics 5security 5software development 5Agentic AI 4artificial general intelligence 4mathematics 4Recursive self-improvement 4agents 3AI infrastructure 3