@oragnes: Want to build a high-quality AI information feed? Start with these 15 accounts! These 15 accounts cover: Research, Engineering, Education, Open Source, Products, AGI Thinking, Real AI Capability Evaluation @karpathy His tweets often define the LLM narrative ahead of time. Many AI topics you see on LinkedIn two months later, he might have already discussed them.

Want to build a high-quality AI information feed? Start with these 15 accounts! These 15 accounts cover: Research, Engineering, Education, Open Source, Products, AGI Thinking, Real AI Capability Evaluation @karpathy His tweets often define the LLM narrative ahead of time. Many AI topics you see on LinkedIn two months later, he might have already discussed them. @fchollet Author of Keras, creator of ARC-AGI. Often shares deep thoughts on intelligence, essential capabilities, benchmarks, and AI limitations. @ylecun Deep learning pioneer, Meta's Chief AI Scientist. Views are macro-level, often with critiques and discussions on AI research directions. @AndrewYNg Legendary figure in AI education. Content very practical, covering machine learning advice, courses, product deployment, and real-world applications. @rasbt Sebastian Raschka, often shares practical ML/LLM implementations, 'from scratch' tutorials, and related book content. @dair_ai High-frequency updates of ML/AI paper threads, breaking down cutting-edge research in accessible ways, suitable for quickly keeping up with AI progress. @lilianweng Former OpenAI member. Her Lil'Log-style content is highly worth reading, adept at deep dives into LLM research and technical details. @jeremyphoward Often shares views on AI/Crypto, and has long promoted the democratization and education of practical deep learning. @simonw Co-founder of Django. Focuses on practical LLM tools, experiments, prompts, agents, and engineering practice breakdowns. @_akhaliq Continuously curates the latest arXiv papers, model releases, open-source AI projects, and research updates. Information flow is very fast. @ID_AA_Carmack Focuses on AGI and low-level optimization issues; many viewpoints make you rethink the essence of 'intelligence' and 'engineering'. @gwern High-quality long-form writer, skilled at AI research notes, deep essays, and technology observations from a long-termist perspective. @goodside Specializes in LLM evaluation, prompt research, and real capability testing; often provides very detailed model behavior observations. @drfeifei Computer vision pioneer, focuses on human-centered AI, spatial intelligence, and future AI research directions. @demishassabis CEO of Google DeepMind. Long-term focus on the future direction of general AI; also an important window into understanding DeepMind's roadmap. Anyone else to add? Comment section.