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Joined 3 years ago
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Cake day: August 11th, 2023

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  • First find a way to track your costs. Measure how much it costs to give it away (to your self and people that support you starting it as a buisness). Do market analysis based on those number. How much do you need to support both your operatiinal costs of hosting and devoloper time paid with a fair wage, and what does compare to how much consumers are currently paying. If that looks good invest in an accountant and lawyer to see what the buisness plan viability might look like and set up a LLC. From there look for partners that can help you create a sustainable buisness and fill in skill gaps you dont have, or hire out the rest.

    Thats it.

    Even better make it a community coop so that the skilled labor and community can have actual ownership in the org to help balance out thr risk and encourage litteral buyin.




  • Is there really a market for mass production of low quality software?

    Maybe it’s just never been needed in any of the market segments I work, but it always seems like it’s better to spend 40 hours today to refactor or clean up code then to spend 10000 hours bug hunting spaghetti code. Like sure your perl script worked but for the love of all let’s actually make a project with a maintainer and a code base you can reasonably attach an SLA to plz




  • We are saying the samethings but you are adding no to it.

    Right, during inference random numbers are generated, that plus the numbers from input are added to the weight values and the matrix multiplication happens. If you used the same random numbers and inputs it is deterministic. For regular use you don’t do that because you want a stochastic output, if you wanting to do forensics and trace what led to an output you would benifit from that determinism.




  • No that should be discoverable with the models weights, input and random numbers added to the weight at the time.

    Say for example you find that a collection of outputs behave oddly or in an undesired way, you could use this to find what simularties they share with each other but delta with other and naively prune the nodes or simply decrease their weights. Those you could also try to corralate that to certain input tokens to engineer better prompts or try to trace it back to initial training data.

    It could also be a failed tool call adding garbage data in, or malicious. A trace could catch that as well.


  • EVs and electricity are both easier to do DIY at home than ICE and homemade ethanol (and no one even pretends home mode petrol production is remotaly feasible). The only reason EVs are seeing the subscription model harder than ICE is: a they are newer and it’s new and b. They are HARDER to lock people into bullshit. No sweetheart deal with a dealership for biannual fleasing by lube techs they are ripping off, no guarantee that in 3-5 years the rube Goldberg explosion machine and the rest of the car are going to be so shitty that a new car makes sense.

    Slate, Edison, and Mutany Motors are all examples of what new world of EV could be like instead of the bull shit that ICE and oil industry and kept us in for nearly a century of enslaving humanity.

    Also also, e-motos and e-bikes because not everyone needs a ton of metal to move around cities if they are built for people and not just to extract wealth from suckers.




  • You can try to reason about it which is an arguable improvement from the former engineer you can’t get ahold of anymore. So you can could see that it triggered a node associated with c++ when it generated this string of tokens or compare it other generations to map it to a type of call.

    Where it doesn’t compare to a human engineer at the moment is quality or novelty.