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- Strong AI Requires Autonomous Building of Composable Models https://thegradient.pub/strong-ai-requires-autonomous-building-of-composable-models/ 22 comments
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- Strong AI Requires Autonomous Building of Composable Models https://thegradient.pub/strong-ai-requires-autonomous-building-of-composable-models/ 2 comments ai
- Strong AI Requires Autonomous Building of Composable Models https://thegradient.pub/strong-ai-requires-autonomous-building-of-composable-models/ 9 comments futurology
Linking pages
Linked pages
- MUM: A new AI milestone for understanding information https://blog.google/products/search/introducing-mum/ 208 comments
- Cyc - Wikipedia https://en.wikipedia.org/wiki/Cyc 188 comments
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- Deep Reinforcement Learning Doesn't Work Yet https://www.alexirpan.com/2018/02/14/rl-hard.html 90 comments
- Probabilistic Models of Cognition - 2nd Edition https://probmods.org/ 57 comments
- Develop on NVIDIA Omniverse Platform | NVIDIA Developer https://developer.nvidia.com/nvidia-omniverse-platform 57 comments
- Unity Real-Time Development Platform | 3D, 2D, VR & AR Engine http://unity.com 54 comments
- FRAMES http://web.media.mit.edu/~minsky/papers/Frames/frames.html 20 comments
- selective attention test - YouTube https://www.youtube.com/watch?app=desktop&v=vJG698U2Mvo 19 comments
- [2006.08381] DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning https://arxiv.org/abs/2006.08381 18 comments
- A Long Peek Into Reinforcement Learning https://lilianweng.github.io/lil-log/2018/02/19/a-long-peek-into-reinforcement-learning.html 14 comments
- [2108.07258] On the Opportunities and Risks of Foundation Models https://arxiv.org/abs/2108.07258 11 comments
- Idiocracy (2006) - IMDb http://www.imdb.com/title/tt0387808/ 6 comments
- [1711.00937] Neural Discrete Representation Learning https://arxiv.org/abs/1711.00937 4 comments
- [2002.06177] The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence https://arxiv.org/abs/2002.06177 2 comments
- [2106.00188] PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World https://arxiv.org/abs/2106.00188 2 comments
- ThreeDWorld (TDW) - A 3D Simulation Platform http://www.threedworld.org/ 0 comments
- It’s All Training Data: Using Lessons from Machine Learning to Retrain Your Mind https://thegradient.pub/its-all-training-data/ 0 comments
- USD Home — Universal Scene Description 22.11 documentation https://graphics.pixar.com/usd/docs/index.html 0 comments
- [2102.10717] Abstraction and Analogy-Making in Artificial Intelligence https://arxiv.org/abs/2102.10717 0 comments
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