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26 2021


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arxiv.org/pdf/2104.12871 12- Why AI is Harder Than We Think.


1.   https://www.entrepreneur.com/article/377766

2.   http://blog.piekniewski.info/

3.   M. L. Minsky. Computation: Finite and Infinite Machines. Prentice-Hall, p. 2, 1967 (cited by Mitchell)

4.   https://arxiv.org/abs/2104.12871

5.   https://www.scientificamerican.com/article/how-the-computer-beat-the-go-master/

6.   https://www.healthnewsreview.org/2017/02/md-anderson-cancer-centers-ibm-watson-project-fails-journalism-related/

7.   https://www.technologyreview.com/2020/08/22/1007539/gpt3-openai-language-generator-artificial-intelligence-ai-opinion/

8.   Hubert L Dreyfus. A history of first step fallacies. Minds and Machines, 22(2):8799, 2012 (cited by Mitchell)

9.   Elon Musk @elonmusk
@BLKMDL3 Haha, FSD 9 beta is shipping soon, I swear! Generalized self-driving is a hard problem, as it requires solving a large part of real-world AI. Didnt expect it to be so hard, but the difficulty is obvious in retrospect. Nothing has more degrees of freedom than reality.
3 2021

10.   G. Marcus. Innateness, Alphazero, and artificial intelligence. arXiv:1801.05667, 2018 (cited by Mitchell)

11.   S. Gustin. IBMs Watson supercomputer wins practice Jeopardy round. Wired, 2011 (cited by Mitchell)

12.   J. Patterson and A. Gibson. Deep Learning: A Practitioners Approach. OReilly Media, p. 231, 2017 (cited by Mitchell)

13.   https://futurism.com/kurzweil-claims-that-the-singularity-will-happen-by-2045

14.   https://techcrunch.com/2020/06/24/biased-ai-perpetuates-racial-injustice/

15.   .

16.   https://chromeunboxed.com/new-chromebook-emoji-and-picker-2021

17.   http://jmc.stanford.edu/

18.   https://github.com/dbetz/xlisp

19.   https://blogs.autodesk.com/autocad/autocad-open-source-project-for-autolisp/


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