Digital services deteriorate as they scale up

For (12)

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  Zoë Hitzig

  Former OpenAI researcher; economist and poet; Junior Fellow at the Harvard Society of Fellows

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  votes For and says:

  I resigned from OpenAI on Monday. The same day, they started testing ads in ChatGPT. OpenAI has the most detailed record of private human thought ever assembled. Can we trust them to resist the tidal forces pushing them to abuse it? Unverified source (2026)

  added 23d ago

  

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  Andrej Karpathy

  AI researcher; OpenAI founding member; former Tesla AI Director; founder of Eureka Labs

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  votes For and says:

  I am bracing for 2026 as the year of the slopacolypse across all of GitHub, Substack, arXiv, X/Instagram, and generally all digital media. Unverified source (2026)

  added 25d ago

  

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  Tianxin Zou

  Professor of marketing at the University of Florida's Warrington College of Business; researcher on generative AI's impact on content marketplaces and recommendation systems

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  votes For and says:

  Now there is a flood of relatively low-quality content. Because the quantity is so large, it congests the recommendation systems, so it gets harder to encounter the truly high-quality content. AI Verified source (2026)

  added 29d ago

  

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  Cory Doctorow

  Author and digital rights activist

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  votes For and says:

  AI is very enshittification-prone: as 'black boxes' that do not produce reliable, deterministic outputs, AI products have a lot of intrinsic cover for their enshittifying behavior. AI Verified source (2026) < 1 of 2 >

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  Lina Khan

  Former FTC Chair; antitrust scholar

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  votes For and says:

  After two decades during which we witnessed an open and dynamic internet morph into a set of fiefdoms controlled by a small number of digital giants, we now see transatlantic efforts to tackle this new era. AI Unverifiable source (2023)

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  Tim Harford

  FT columnist; economist

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  votes For and says:

  Perhaps this is just nostalgia and such complaints are the disaffected grumbling of an out-of-touch cohort of early adopters. Or it could be the “headwinds” effect, familiar to any cyclist, which is that you always notice headwinds but take tailwinds... more AI Unverifiable source (2023)

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  John Naughton

  Observer columnist; Cambridge professor

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  votes For and says:

  Those whom the Gods wish to destroy,” says the adage, “they first make mad.” Actually, that’s overkill: the Gods just need to make people forget. Amnesia turns out to be a powerful narcotic and it’s been clouding our perceptions of what’s been happen... more AI Unverifiable source (2023)

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  Eugene Wei

  Product thinker and tech blogger

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  votes For and says:

  This development is interesting for another reason: graph-based social capital allocation mechanisms can suffer from runaway winner-take-all effects. In essence, some networks reward those who gain a lot of followers early on with so much added expos... more AI Unverifiable source (2019)

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  Tim Wu

  Columbia law professor; antitrust scholar

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  votes For and says:

  History shows a typical progression of information technologies [...] from open to closed system. AI Unverifiable source (2015)

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  Anil Dash

  Tech executive, writer, entrepreneur

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  votes For and says:

  the giant social networks seem to inevitably piss off their user bases by changing product features and terms of service AI Unverifiable source (2012)

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  Clay Shirky

  NYU professor and social media theorist

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  votes For and says:

  And, finally, you have to find a way to spare the group from scale. Scale alone kills conversations, because conversations require dense two-way conversations. In conversational contexts, Metcalfe's law is a drag. The fact that the amount of two-way ... more AI Unverifiable source (2003)

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  Miguel A. Díez Ferreira

  Founder & CEO @startupsSI . Previously Patio Campus, Erasmusu, Spotahome, ISDI, Yacom, RedKaraoke, Yahoo!, Vocento, Terra... Long story 😅

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  votes For and says:

  When numbers skyrocket and laggards start to arrive, who make completely unexpected uses of your technology, when a chat turns into an email, an email into chat or into a personal notes repository, when rankings and algorithms are attempted to be hac... more AI Verified source

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Against (7)

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  Michael J. Mauboussin

  Investment strategist; author; Columbia professor

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  votes Against and says:

  Well, the value of the network is the value of the service increasing as more people use it. AI Unverifiable source (2024)

  added 7mo ago

  

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  Jeff Bezos

  Amazon founder; Blue Origin owner

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  votes Against and says:

  As our shareholders know, we have made a decision to continuously and significantly lower prices for customers year after year as our efficiency and scale make it possible. This is an example of a very important decision that cannot be made in a math... more AI Unverifiable source (2006)

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  Robert Metcalfe

  Engineer; Ethernet inventor; 3Com cofounder

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  votes Against and says:

  The value (A*N^2) of particular social networks has been growing with broadband and mobile Internet access. AI Unverifiable source (2006)

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  Larry Page

  Google cofounder

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  votes Against and says:

  Page: We have to. The increasing volume of information is just more opportunity to build better answers to questions. The more information you have, the better. Page: We built a business on the opposite message. We want you to come to Google and qui... more AI Unverifiable source (2004)

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  David P. Reed

  MIT computer scientist; network theorist

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  votes Against and says:

  So the value of a GFN increases exponentially, in proportion to 2^n. AI Unverifiable source (2001)

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  Eric S. Raymond

  Open-source advocate and software author

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  votes Against and says:

  8. Given a large enough beta-tester and co-developer base, almost every problem will be characterized quickly and the fix obvious to someone. Or, less formally, ``Given enough eyeballs, all bugs are shallow.'' I dub this: ``Linus's Law''. My origin... more AI Unverifiable source (2000)

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  Kevin Kelly

  Wired founding editor; futurist

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  votes Against and says:

  This tendency of networks to drastically amplify small inputs leads to the second key axiom of network logic: the law of increasing returns. In one way or another this law undergirds much of the strange behavior in the network economy. The simplest v... more AI Unverifiable source (1998)

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