large language model

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A large language model is (AKA LLM) usually a reference to a service, like OpenAI’s ChatGPT, that synthesizes text based on a massive set of prose typically crawled and indexed from the open web and other sources and should not be used to contribute content to the IndieWeb wiki; several IndieWeb sites disclaim any use thereof for their content.

Why

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Why disclaim

With more and more LLM-generated content being published to the web, e.g. by news outlets like Hoodline, people will increasingly look for actual human-written content instead, and disclaiming your use of LLMs will appeal to a larger and larger audience.

How to

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Understanding and managing LLM traffic

See large language model traffic

Promote your work as human created

You can add a Not By AI badge on your website. See some IndieWeb Examples below.

IndieWeb Examples

In rough date order of adding to personal sites:

  • Hidde de Vries added a ‘no LLMs involved’ note to the site-wide footer of hidde.blog from 17 March 2023

No language models were involved in writing the blog posts on here.

No large language models (LLM) or similar AI technologies were involved in writing the blog posts on here.

  • to2ds Updated the existing blurb above the fold on the homepage to use the term "LLMs" instead of the generic "AI." [1] on 2024-01-05. Also added (Not BY AI) written and painted badges to the common footer along with the IndieWeb badge and link.
  • Dr. Matt Lee blocks as much of this as possible. His content is not permitted to be used to train such things. His Libre.fm and 1800www.com projects are changing their mission/focus as result.

IndieWeb Wiki Examples

Do not use LLMs for content for the wiki:

Don't even think about using ChatGPT to contribute material to the wiki, because you don't have the ability to know you can contribute it to the public domain / CC0.

Other Examples

IndieWeb opinions

Other Examples

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Criticism

Hammering bandwidth while disrespecting robots.txt

The worst of the internet is continuously attacking the best of the internet. This is a distributed denial of service attack on the good parts of the World Wide Web.

Over the past few months, instead of working on our priorities at SourceHut, I have spent anywhere from 20-100% of my time in any given week mitigating hyper-aggressive LLM crawlers at scale. [...] If you think these crawlers respect robots.txt then you are several assumptions of good faith removed from reality. These bots crawl everything they can find, robots.txt be damned.

Encourages disregarding copyright

Encourages training on private data

Discourages open creativity and sharing

  • 2024-04-22 The Atlantic: It’s the End of the Web as We Know It

    SEO will morph into LLMO: large-language-model optimization, the incipient industry of manipulating AI-generated material to serve clients’ interests.
    [...]
    LLMs aren’t people we connect with. Eventually, people may stop writing, stop filming, stop composing—at least for the open, public web.

Labor Impact

Some workers described realizing, often in hindsight, that as prompting during breaks became habitual, downtime no longer provided the same sense of recovery. (...) Many workers noted that they were doing more at once—and feeling more pressure—than before they used AI, even though the time savings from automation had ostensibly been meant to reduce such pressure.

The title is somewhat tongue-in-cheek; we recognize that AI is not sentient, that it’s management, not AI, that fires people, but also that there are many ways that AI can “kill” a job, by sapping the pleasure one derives from work, draining it of skill and expertise, or otherwise subjecting it to degradation.

I heard from workers who recounted how managers used AI to justify laying them off, to speed up their work, and to make them take over the workload of recently terminated peers. I heard from workers at the biggest tech giants and the smallest startups—from workers at Google, TikTok, Adobe, Dropbox, and CrowdStrike, to those at startups with just a handful of employees. I heard stories of scheming corporate climbers using AI to consolidate power inside the organization. I heard tales of AI being openly scorned in company forums by revolting workers. And yes, I heard lots of sad stories of workers getting let go so management could make room for AI. I received a message from one worker who wrote to say they were concerned for their job—and a follow-up note just weeks later to say that they’d lost it.

Abused to waste developer time

Criticism: LLMs used to waste developer time with fake security bounty bug reports:

  • (from the maintainer of curl) 2024-01-02 The I in LLM stands for intelligence

    Like for the email spammers, the cost of this ends up in the receiving end. The ease of use and wide access to powerful LLMs is just too tempting. I strongly suspect we will get more LLM generated rubbish in our Hackerone inboxes going forward.

Fails basic context dependence

Can fail basic context-dependence, like examples vs commands:

Scraping for training widely rejected

85% of Cloudflare's customers prefer to block GenAI training scrapers:

Allows the creation of abusive content for deliberate harm

Risk of misleading or hazardous output

Other Criticism

“Setting things up so that you get "the answer" to your question cuts off the user's ability to do the sense-making that is critical to information literacy. That sense-making includes refining the question, understanding how different sources speak to the question, and locating each source within the information landscape.”

“Let me get this straight,” John Mulaney said. “You’re hosting a ‘future of AI’ event in a city that has failed humanity so miserably?”

He added, “Can AI sit there in a fleece vest? Can AI not go to events and spend all day at a bar?”

See Also

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