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Cake day: August 5th, 2023

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  • Nicely done, AI-generated response!

    Which did you use?

    I also think it is a tool being used to help push out whatever content the person using it wants.

    It may be seen in the history books as akin to the Industrial Revolution.

    The Industrial Revolution, sometimes divided into the First Industrial Revolution and Second Industrial Revolution, was a period of global transition of the human economy towards more widespread, efficient and stable manufacturing processes that succeeded the Agricultural Revolution. Beginning in Great Britain, the Industrial Revolution spread to continental Europe and the United States, from around 1760 to about 1820–1840. This transition included going from hand production methods to machines; new chemical manufacturing and iron production processes; the increasing use of water power and steam power; the development of machine tools; and the rise of the mechanised factory system. Output greatly increased, and the result was an unprecedented rise in population and the rate of population growth. The textile industry was the first to use modern production methods, and textiles became the dominant industry in terms of employment, value of output, and capital invested.





  • jimmydoreisalefty@lemmy.worldtoTechnology@lemmy.worldNew youtube layout?
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    6 months ago

    Oh, thanks for the link!


    Edit: added a bit of information below for those interested

    A/B testing (also known as split testing or bucket testing) is a methodology for comparing two versions of a webpage or app against each other to determine which one performs better. A/B testing is essentially an experiment where two or more variants of a page are shown to users at random, and statistical analysis is used to determine which variation performs better for a given conversion goal

    In an A/B test, you take a webpage or app screen and modify it to create a second version of the same page. This change can be as simple as a single headline, button or be a complete redesign of the page. Then, half of your traffic is shown the original version of the page (known as control or A) and half are shown the modified version of the page (the variation or B).

    The following is an A/B testing framework you can use to start running tests:

    1. Collect data:
    2. Identify goals:
    3. Generate test hypothesis:
    4. Create different variations:
    5. Run experiment:
    6. Wait for the test results:
    7. Analyze results: