• 7 Posts
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Joined 2 years ago
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Cake day: June 12th, 2023

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  • Not the parent, but LLMs dont solve anything, they allow more work with less effort expended in some spaces. Just as horse drawn plough didnt solve any problem that couldnt be solved by people tilling the earth by hand.

    As an example my partner is an academic, the first step on working on a project is often doing a literature search of existing publications. This can be a long process and even more so if you are moving outside of your typical field into something adjacent (you have to learn what excatly you are looking for). I tried setting up a local hosted LLM powered research tool that you can ask it a question and it goes away, searches arxiv for relevant papers, refines its search query based on the abstracts it got back and iterates. At the end you get summaries of what it thinks is the current SotA for the asked question along with a list of links to papers that it thinks are relevant.

    Its not perfect as you’d expect but it turns a minute typing out a well thought question into hours worth of head start into getting into the research surrounding your question (and does it all without sending any data to OpenAI et al). That getting you over the initial hump of not knowing exactly where to start is where I see a lot of the value of LLMs.











  • The articles point was that markdown (or other similar utf-8 text based documents) is the best guarantee you have for the files being usable into the indefinite future. As you get into the complicated formats of things like word processors the less likely that format will be meaningfully usable in 10,20,50 years time, good luck reading a obsolete word processor file from the 80s today.


  • That’s interesting, though their own map benefits from their definition of B (the number of boundary cuts an arbitrary line segment needs to cross), because this metric does not take into account how far away the elements on the map are from each other. E.g. the cuts going from northern to southern Africa count as much as a “distortion” as the ones separating Indonesia and South America.

    Ultimately, “objective” best depends on the metric you choose and that is a subjective decision.






  • Inertial confinement doesnt produce a “stable reaction” it is pulsed by it’s nature, think of it in the same way as a single cylinder internal combustion engine, periodic explosions which are harnessed to do useful work. So no the laser energy is required every single time to detonate the fuel pellet.

    NIF isnt really interested in fusion for power production, it’s a weapons research facility that occasionally puts out puff pieces to make it seem like it has civilian applications.



  • That snark doesnt help anyone.

    Imagine the AI was 100% perfect and gave the correct answer every time, people using it would have a significantly reduced diversity of results as they would always be using the same tool to get the correct same answer.

    People using an ai get a smaller diversity of results is neither good nor bad its just the way things are, the same way as people using the same pack of pens use a smaller variety of colours than those who are using whatever pens they have.