ShowCase App

A list of open-source software containing slop (LLM generated) code or endorses the usage of LLMs in other ways. This list contains software that obviously accepts irresponsible coding practices or promotes LLM usage. I found these applications while searching for alternatives to previously used software that turned out to contain code generated by slop-machines. Each of added applications have at least one link that points to the verifiable proof. This list by no means is meant to cover all the software that contains code by not-so-intelligent tools and people using them but to serve as a reminder to myself about what I have already checked. Why having LLM generated code (and using generative tools in general) is bad? Ethical reasons — such as illegally retrieved training material, underpaid workers that prepare the training data. Impact on environment — increased fossil fuel usage to supply the needed electricity power, water usage in water scarce regions. This somewhat overlaps with the above. Social impact – noise pollution in neighbourhoods near AI data centres, air pollution from diesel- or gas-powered turbines (also overlaps with the above), resource consumption by data centres drastically increases utility prices. Impact on brain and thinking, reasoning — by offloading thinking and decision making to machines people are shooting in their foot (more like in their head) as this leads to brain rot. Less intelligent people are easier to control. Even legal issues (especially in open-source software as it cannot be guaranteed that the “generated” code is not really just re-used, thus unknowingly violating the source license). Inevitable enshittification — every software product from big technology eventually gets enshittified to maximize revenue. For users this could mean hidden or plain ads, biased opinions/information, privacy violations, increased prices for LLM based tools. Burden on open-source software maintenance — LLM tools provide easier access to code contributions which often shifts the responsibility of checking code quality from developers to maintainers and reviewers. Digging through walls of merge request text and code generated by slop-machines takes valuable time that otherwise could be spent more meaningfully by fixing bugs and working on new features. I will try to add links that back up the claims above, but it may take a while. Of course, I see how and where generative tools could be helpful and sometimes I feel tempted to find an acceptable way to use them, but for now the direct and indirect costs far too much outweigh gains. This list has its positive counterpart: Slop-Free (Supposedly) Open-Source Software (not quite complete yet). Also take a look at and give thumbs up to AI Slopfree Software Catalog which contains software dedicated against usage of LLMs. Also, here is a list of some labels that can be added / voted for so they would eventually appear on application pages: Slopware; Slop (LLM) Code; Slop-Source Software; Open-Source Slopware; Contains Slop (LLM Generated) Code.

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If you are using GrapheneOS on your main phone, then you have made the first and most important step towards privacy in your daily life (in my opinion of course). Most people use their phones more than any other device, and have their phones on them almost all the time, so ensuring that your phone is as private as you can reasonably and comfortably make it is a great move. Switching the operating system is only the first step however. If you move from an iPhone full of big tech apps to GrapheneOS and then install all those apps again, what is the point? Sure, you will have a more private and secure system, but you would subject yourself to being tracked every time you open an app. So, we need to find alternatives to these apps, that are open source, don't track us, keep everything possible local, and don't have an ulterior agenda beyond being the tool you are looking for.