🤲
The best internet platforms enshittify when they take on VC funding, either exiting to the market or a larger acquisition as a result of the pressures of venture capital. It’s all downhill from there: Investors and leadership will strip the company for parts, enforce mass layoffs, sabotage the user experience, all in the name of maximizing returns. What if Perfectly Imperfect took a different route, and exited to its community of users, paid subscribers, and workers? What if PI became a solidarity cooperative, or something similar? Let’s think about how to safeguard the legacy of this clearly beloved platform.
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Nov 29, 2024

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đź“°
anyone on pi.fyi will likely feel seen and heard when reading this. it basically accentuates all the redundancies and senseless aspects of social media and how it’s disrupted every industry and how we are all dominated by the algorithm and have to be our own hype person. i always feel like an idiot after i finish a record or a book that i'm really excited to share with the world, but then have to think about “content“ to promote the art itself. obviously pi.fyi feels likes a refreshing beacon of hope because artists can share their work here in a far more simple and wholesome manner. the article also addresses non-creative jobs like accountants and other professions that are all being forced to become an “influencer” of some sort or build a brand. it’s spooky, yet we’re all feeling the fatigue so hopefully we can see a less algorithmic future soon…
Feb 8, 2024
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đźš©
i think that large language models like chatgpt are effectively a neat trick we’ve taught computers to do that just so happen to be *really* helpful as a replacement for search engines; instead of indexing sources with the knowledge you’re interested in finding, it just indexes the knowledge itself. i think that there are a lot of conversations around how we can make information more “accessible” (both in terms of accessing paywalled knowledge and that knowledge’s presentation being intentionally obtuse and only easily parseable by other academics), but there are very little actual conversations about how llms could be implemented to easily address both kinds of accessibility. because there isn’t a profit incentive to do so. llms (and before them, blockchains - but that’s a separate convo) are just tools; but in the current economic landscape a tool isn’t useful if it can’t make money, so there’s this inverse law of the instrument happening where the owning class’s insistence that we only have nails in turn means we only build hammers. any new, hot, technological framework has to either slash costs for businesses by replacing human labor (like automating who sees what ads when and where), or drive a massive consumer adoption craze (like buying crypto or an oculus or an iphone.) with llms, it’s an arms race to build tools for businesses to reduce headcount by training base models on hyperspecific knowledge. it also excuses the ethical transgression of training these models on stolen knowledge / stolen art, because when has ethics ever stood in the way of making money? the other big piece is tech literacy; there’s an incentive for founders and vcs to obscure (or just lie) about what a technology is actually capable of to increase the value of the product. the metaverse could “supplant the physical world.” crypto could “supplant our economic systems.” now llms are going to “supplant human labor and intelligence.” these are enticing stories for the owning class, because it gives them a New Thing that will enable them to own even more. but none of this tech can actually do that shit, which is why the booms around them bust in 6-18 months like clockwork. llms are a perfect implementation of [searle’s chinese room](https://plato.stanford.edu/entries/chinese-room/) but sam altman et al *insist* that artificial general intelligence is possible and the upper crust of silicon valley are doing moral panic at each other about how “ai” is either paramount to or catastrophic for human flourishing, *when all it can do is echo back the information that humans have already amassed over the course of the last ~600 years.* but most people (including the people funding the technology and ceo types attempting to adopt it en masse) don’t know how it works under the hood, so it’s easy to pilot the ship in whatever direction fulfills a profit incentive because we can’t meaningfully imagine how to use something we don’t effectively understand.
Mar 24, 2024
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🦪
piece that explores our collective relationship with algorithmically driven platforms and theorizing why non-algorithmically driven platforms haven't caught on yet (PI.FYI mentioned ‼️). some of the references and moments in the writing style makes this article feel hollow and generic, but the overall conceit is engaging. also this article (and the general public alike) keep saying tumblr is dead but tumblr is very alive for me personally. "Just kidding. There is no pure place: we crave the end because it seems cleaner on the other side. We all live,and have always lived, in the muck—even and especially after death. Download the niche app, participate in the empty-ish forum. Labor to make the experience you want. Labor to animate a human internet."
Mar 6, 2024

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