Hacker News
- To build truly intelligent machines, teach them cause and effect (2018) https://www.quantamagazine.org/to-build-truly-intelligent-machines-teach-them-cause-and-effect-20180515 50 comments
- To Build Truly Intelligent Machines, Teach Them Cause and Effect (2018) https://www.quantamagazine.org/to-build-truly-intelligent-machines-teach-them-cause-and-effect-20180515 104 comments
- To Build Truly Intelligent Machines, Teach Them Cause and Effect https://www.quantamagazine.org/to-build-truly-intelligent-machines-teach-them-cause-and-effect-20180515/ 6 comments
Linking pages
- AI today and tomorrow is mostly about curve fitting, not intelligence https://diginomica.com/ai-curve-fitting-not-intelligence 573 comments
- ML beyond Curve Fitting: An Intro to Causal Inference and do-Calculus https://www.inference.vc/untitled/ 72 comments
- Loopholes and the 'Anti-Realism' of the Quantum World | WIRED https://www.wired.com/story/quantum-world-anti-realism/ 16 comments
- Opinion | Why Douglas Hofstadter Is Changing His Mind on A.I. - The New York Times https://www.nytimes.com/2023/07/13/opinion/ai-chatgpt-consciousness-hofstadter.html 8 comments
- Why we need general AI and why we're not there yet - The Data Scientist https://thedatascientist.com/general-ai/ 6 comments
- How Aristotle is Fixing Deep Learning's Flaws https://thegradient.pub/how-aristotle-is-fixing-deep-learnings-flaws/ 0 comments
- GitHub - adeshpande3/Machine-Learning-Links-And-Lessons-Learned: List of all the lessons learned, best practices, and links from my time studying machine learning https://github.com/adeshpande3/Machine-Learning-Links-And-Lessons-Learned 0 comments
- Thoughts On ICLR 2018 and ICRA 2018 https://www.alexirpan.com/2018/06/06/iclr-icra.html 0 comments
- Polysemy Embeddings, Semi Adversarial Networks, ULMFiT, Color Naming, Sentiment Style Transfer,… | by elvis | DAIR.AI | Medium https://medium.com/dair-ai/polysemy-embeddings-semi-adversarial-networks-ulmfit-color-naming-sentiment-style-transfer-155f8f9b5231 0 comments
- OpenAI’s latest breakthrough is astonishingly powerful, but still fighting its flaws - The Verge https://www.theverge.com/21346343/gpt-3-explainer-openai-examples-errors-agi-potential 0 comments
- Part 2: The Problems https://aisafety.dance/p2/ 0 comments
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