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Joined 2 years ago
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Cake day: August 19th, 2023

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  • Nothing in the Frontiers is reputable among scientists. It gets linked a lot on Reddit because it’s open access, but scientists tend to view it as essentially the not-actually-peer-reviewed equivalent of a preprint. In the past, if all reviewers recommend rejection at Frontiers, the editor would be forcibly assigned new reviewers by the publishing staff. This would continue until the manuscript would get accepted. Not sure if that’s still the same (I’ve blocked all Frontiers emails), but it’s not correct to call a Frontiers journal a major reputable journal.


  • ONLYOFFICE (sorry for the caps, poor name) has better docx compatibility than WPS or any other suite. It’s the only thing I’ve found that can do everything in an academic style paper without issue. In addition, its source code is open (unlike WPS) and it has Zotero and Mendeley integrations. Its Zotero integration was better than its Mendeley integration last I checked.

    I’m a professor and use ONLYOFFICE as the only word processor on my office computer.

    Edit: apparently the Zotero plugin needs to be updated.




  • Would you, after devoting full years of your adult life to the unpaid work of learning the requisite advanced math and computer science needed to develop such a model, like to spend years more of your life to develop a generative AI model without compensation? Within the US, it is legal to use public text for commercial purposes without any need to obtain a permit. Developers of such models deserve to be paid, just like any other workers, and that doesn’t happen unless either we make AI a utility (or something similar) and funnel tax dollars into it or the company charges for the product so it can pay its employees.

    I wholeheartedly agree that AI shouldn’t be trained on copyrighted, private, or any other works outside of the public domain. I think that OpenAI’s use of nonpublic material was illegal and unethical, and that they should be legally obligated to scrap their entire model and train another one from legal material. But developers deserve to be paid for their labor and time, and that requires the company that employs them to make money somehow.





  • GPT-4 will. For example, I asked it the following:

    What is the neighborhood stranger model of fluid mechanics?

    It responded:

    The “neighborhood stranger model” of fluid mechanics is not a recognized term or concept within the field of fluid mechanics, as of my last update in April 2023.

    Now, obviously, this is a made-up term, but GPT-4 didn’t confidently give an incorrect answer. Other LLMs will. For example, Bard says,

    The neighborhood stranger model of fluid mechanics is a simplified model that describes the behavior of fluids at a very small scale. In this model, fluid particles are represented as points, and their interactions are only considered with other particles that are within a certain “neighborhood” of them. This neighborhood is typically assumed to be a sphere or a cube, and the size of the neighborhood is determined by the length scale of the phenomena being studied.