xzvf

9 ms·

1. 1.▲
   by xzvf 5y ago

   Open-ended like OpenAI.
2. 2.▲
   Wrong Models(milkandcigarettes.com)

   2 points by xzvf 5y ago|0 comments
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   Abstraction and Reasoning Challenge: All Train and Test Examples(kaggle.com)

   1 points by xzvf 5y ago|0 comments
4. 4.▲
   by xzvf 6y ago

   Then instead of superheroes think about countries or groups. How do you align Iran? How do you align the NRA? How’s culture, storytelling, arguing, etc. working for us so far? The point is that there is no simple recipe for "alignment&
5. 5.▲
   by xzvf 6y ago

   When we get intelligent machines they will become beings. Contrary to SV corporate-speak, you don’t align beings. You don’t align your neighbors, you don’t align people from other countries. You can’t hardwire them to follow certain princip
6. 6.▲
   by xzvf 6y ago

   But optimization is decidedly not intelligence. We’ve known this for decades and have clear proofs this is the case. This is just a collective dance of burying our heads in the sand. I’ll quote this guy called Turing: “If a machine is expec
7. 7.▲
   by xzvf 6y ago

   This is not something programmers and other wild HN dwellers are accustomed to hearing, but there is a very strong case to suggest that intelligence, the universal kind, is not possible without empathy. Worry about alignment in machines, no
8. 8.▲
   by xzvf 6y ago

   At scale, Evolutionary Strategies (ES) are a very good approximation of the gradient as well. Don’t recommend to jump just yet to conclusions and unifications.
9. 9.▲
   Refactoring as Anxiety Relief(milkandcigarettes.com)

   1 points by xzvf 6y ago|0 comments
10. 10.▲
    Neural Networks (Maybe) Evolved to Make Adam the Best Optimizer(parameterfree.com)

    1 points by xzvf 6y ago|0 comments
11. 11.▲
    by xzvf 6y ago

    “Everybody is identical in their secret unspoken belief that way deep down they are different from everyone else”.
12. 12.▲
    Learning to Learn with Quantum Neural Networks via Classical Neural Networks(arxiv.org)

    1 points by xzvf 6y ago|0 comments
13. 13.▲
    Adapting on the Fly to Test Time Distribution Shift(bair.berkeley.edu)

    1 points by xzvf 6y ago|0 comments
14. 14.▲
    Is DNA Hardware or Software?(growbyginkgo.com)

    1 points by xzvf 6y ago|1 comments
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    Evolutionary Algorithms as Fitness Function Debuggers(hal.inria.fr)

    2 points by xzvf 6y ago|1 comments
16. 16.▲
    Red Queen Hypothesis(en.wikipedia.org)

    3 points by xzvf 6y ago|0 comments
17. 17.▲
    Quantifying the Rise and Fall of Complexity in Closed Systems(arxiv.org)

    1 points by xzvf 6y ago|0 comments
18. 18.▲
    The Information Theory of Individuality(link.springer.com)

    1 points by xzvf 6y ago|0 comments
19. 19.▲
    The Algorithmic Origins of Life(royalsocietypublishing.org)

    4 points by xzvf 6y ago|0 comments
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    First Return Then Explore(arxiv.org)

    1 points by xzvf 6y ago|0 comments
21. 21.▲
    Analogy as the Core of Cognition [pdf](worrydream.com)

    1 points by xzvf 6y ago|0 comments
22. 22.▲
    Maxims of Signal Processing(ccrma.stanford.edu)

    3 points by xzvf 6y ago|0 comments
23. 23.▲
    Papers with Code(paperswithcode.com)

    304 points by xzvf 6y ago|20 comments
24. 24.▲
    The Surprising Creativity of Digital Evolution(arxiv.org)

    2 points by xzvf 6y ago|0 comments
25. 25.▲
    Tupper's Self-Referential Formula(en.wikipedia.org)

    1 points by xzvf 6y ago|0 comments
26. 26.▲
    How Learning Can Guide Evolution (1987) [pdf](cogsci.ucsd.edu)

    1 points by xzvf 6y ago|0 comments
27. 27.▲
    Reflections on Trusting Trust (1984) [pdf](cs.cmu.edu)

    1 points by xzvf 6y ago|0 comments
28. 28.▲
    Information Closure Theory of Consciousness(arxiv.org)

    3 points by xzvf 6y ago|0 comments
29. 29.▲
    Test Functions for Optimization(en.wikipedia.org)

    3 points by xzvf 6y ago|0 comments
30. 30.▲
    Cyclomatic Complexity(en.wikipedia.org)

    2 points by xzvf 6y ago|0 comments