I also think the sub field of mechanistic interpretability is very cool — it’s all three noble, challenging, and interesting — I just struggle to see how it connects to the broader goals (building AI systems that don’t kill us) or at least why it’s a top priority
RESEARCH
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Effective altruism goals versus narrow AI research priorities
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i’m curious about effective altruism: how do so many smart people with the goal “do good for the world” wind up with the subgoal “analyze the neurons of GPT-2 small” or something similar?
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Stanford Research Challenges AGI Fears and LLM Capabilities
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Top AI stories of 2023: Stanford researchers showed that fears of AGI are unfounded. Large language models are not greater than the sum of their parts. https://
stanford.io/41IMyVF -
Mindstorms in Natural Language-Based Societies of Mind
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Mindstorms in Natural Language-Based Societies of Mind Zhuge et al.: https://
arxiv.org/abs/2305.17066 #ArtificialIntelligence #DeepLearning #MachineLearning -
MoMask: Generative Masked Modeling for 3D Human Motion
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MoMask: Generative Masked Modeling of 3D Human Motions Guo et al.: https://
arxiv.org/abs/2312.00063 #ArtificialIntelligence #DeepLearning #MachineLearning -
Special Episode: Why I Quit My PhD in AI
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Apple podcasts: https://podcasts.apple.com/ca/podcast/special-episode-why-did-i-quit-my-phd-in-ai/id1675099708?i=1000639934865
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Why I Quit My PhD in Artificial Intelligence
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(special podcast episode) Why did I quit my PhD in AI https://
open.spotify.com/episode/2giqjo
UPy7FTZhunmA3TiZ?si=E9A-EQB7RCW51mtwoGgHJA
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White House AI Executive Order: 150 Requirements Tracking Progress
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2023 highlights: The White House Executive Order on AI outlines 150 requirements for government agencies. @StanfordHAI
’s policy team is tracking progress at a most granular level: -
GradCAM: Understanding Neural Network Interpretability in Computer Vision
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💡New Blog Alert 💡https://t.co/g2e7fLJ6tx
— Satya Mallick (@LearnOpenCV) 28 décembre 2023
GradCAM, an acronym for Gradient-weighted Class Activation Mapping, is a significant breakthrough in computer vision and neural network interpretability.
As AI and machine learning systems, particularly Convolutional Neural Networks… pic.twitter.com/7umtorXwsENew Blog Alert https://
learnopencv.com/intro-to-gradc
am/
… GradCAM, an acronym for Gradient-weighted Class Activation Mapping, is a significant breakthrough in computer vision and neural network interpretability. As AI and machine learning systems, particularly Convolutional Neural Networks -
AI Advancements Recap Video 2023
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I also create a recap video showcasing most of these advancements and some other relevant news that happened this year: https://
youtu.be/J7H6kobw-lo