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  1. Last 7 days
    1. Then a remarkable finding came to light. In experiments beginning in the late 1960s, the psychologist Walter Mischel tormented preschoolers with the agonizing choice of one marshmallow now or two marshmallows 15 minutes from now. When he followed up decades later, he found that the 4-year-olds who waited for two marshmallows turned into adults who were better adjusted, were less likely to abuse drugs, had higher self-esteem, had better relationships, were better at handling stress, obtained higher degrees and earned more money.

      Choice between marshmallow now or two 15 minutes later. Choose later, as related to better success in life.

  2. Sep 2023
    1. Access forbidden The page you requested is not accessible. This may either be due to the server not having permission to access this directory, or a server error. If you are the administrator for this site, please check the permissions on this directory and file a HelpSU if you need help. If you are a user, please contact the administrators for this site, or HelpSU if you think the error is due to a server problem.

      Love it when institutions facilitate access to fwnoledge...

      link to the info

      Ohh I also found this modern link to the link to their readings with this info less pretty but all here History of computers 34q readings

  3. Aug 2023
  4. Apr 2023
    1. While past work has characterized what kinds of functions ICL can learn (Garg et al., 2022; Laskin et al., 2022) and the distributional properties of pretraining that can elicit in-context learning (Xie et al., 2021; Chan et al., 2022), but how ICL learns these functions has remained unclear. What learning algorithms (if any) are implementable by deep network models? Which algorithms are actually discovered in the course of training? This paper takes first steps toward answering these questions, focusing on a widely used model architecture (the transformer) and an extremely well-understood class of learning problems (linear regression).
  5. Dec 2022
  6. Nov 2022
  7. Aug 2022
    1. Empirical Measurementson Pricing Oracles andDecentralized Governancefor Stablecoins

      title

      inner-workings of pricing oracle adn decen gov systems

      accuracy of the pricing oracle over time

      disagreements between pricing repotrs

      robustness of the de-gov system

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  8. Apr 2021
  9. Jun 2020
  10. Apr 2020
    1. How to setup and use Stanford CoreNLP Server with Python Khalid Alnajjar August 20, 2017 Natural Language Processing (NLP) Leave a CommentStanford CoreNLP is a great Natural Language Processing (NLP) tool for analysing text. Given a paragraph, CoreNLP splits it into sentences then analyses it to return the base forms of words in the sentences, their dependencies, parts of speech, named entities and many more. Stanford CoreNLP not only supports English but also other 5 languages: Arabic, Chinese, French, German and Spanish. To try out Stanford CoreNLP, click here.Stanford CoreNLP is implemented in Java. In some cases (e.g. your main code-base is written in different language or you simply do not feel like coding in Java), you can setup a Stanford CoreNLP Server and, then, access it through an API. In this post, I will show how to setup a Stanford CoreNLP Server locally and access it using python.
  11. Feb 2020
  12. Jul 2019
  13. Jan 2019
    1. UTILITARIANISM

      Via Stanford Encyclopedia - History of Utilitarianism: "Though there are many varieties of the view discussed, utilitarianism is generally held to be the view that the morally right action is the action that produces the most good. There are many ways to spell out this general claim. One thing to note is that the theory is a form of consequentialism: the right action is understood entirely in terms of consequences produced. What distinguishes utilitarianism from egoism has to do with the scope of the relevant consequences. On the utilitarian view one ought to maximize the overall good — that is, consider the good of others as well as one's own good."

  14. Oct 2018
  15. May 2018
  16. Mar 2017
    1. It’s interesting that places like Stanford or Harvard, where Facebook was launched in a dorm room in a similar tale to Snap, Inc (right down to the lawsuit), are considered our top educational institutions when we know that the chief benefit of going to such a place is not necessarily the learning that happens, but the chance to rub elbows with people from well-resourced backgrounds.

      Yep. Not everyone who goes can benefit from this aspect...