Artificial intelligence: Difference between revisions

(2 intermediate revisions by the same user not shown)

Line 62:

</blockquote>

====MediaWiki====

====MediaWiki, Wikipedia, and the Wikimedia Foundation====

[[wikipedia:MediaWiki|MediaWiki]] is of particular interest to LLM training due to the vast amount of factual, plain-text content wikis tend to hold. While [[wikipedia:Wikipedia|Wikipedia]] and the [[wikipedia:Wikimedia Foundation|Wikimedia Foundation]] host the most well-known wikis, numerous smaller wikis exist thanks to the work of many independent editors. The strength of wiki architecture is its ability for every edit to be audited by anyone, at any time - you can still view [https://en.wikipedia.org/w/index.php?oldid=1 the first edit to Wikipedia] from 2002. This makes wikis a hybrid of a static website and a dynamic web app, which becomes problematic when poorly-designed bots attempt to scrape them.<ref name="geraspora" />

<!-- COI alert: I, [[User:kirb]], am an admin for The Apple Wiki. Hopefully this is neutral enough?

-->The Apple Wiki, which documents internal details of Apple's hardware and software, holds more than 50,000 articles. On 2 August 2024, with a repeat occurrence on 5 January 2025, the service was disrupted by scraping efforts.<ref>https://theapplewiki.com/wiki/The_Apple_Wiki:Community_portal#Bot_traffic_abuse</ref> The wiki contains a considerable amount of information that is scraped by legitimate security research tools, making it difficult for the website to block non-legitimate requests. Efforts to block unethical scraping and protect the wiki have disrupted these legitimate tools. The large article count, combined with more than 280,000 total edits over the wiki's lifetime, create an untenable situation where it is simply not possible to scrape the website without causing significant service disruption.

On 1 April 2025, the Wikimedia Foundation indicated that its infrastructure has been under increasing pressure from content scraping bots since January 2024, with the particularly critical metric that "65% of our most expensive traffic comes from bots", despite estimating 35% of all traffic as coming from bots. The bots create traffic patterns that are significantly unlike human traffic patterns, effectively bypassing Wikimedia's caching infrastructure and placing significant load on the core servers. A blog post provides an example where bot traffic caused the [[wikipedia:Wikimedia Commons|Wikimedia Commons]] service to become unstable during a human traffic spike. The Foundation is considering introduction of a Responsible Use of Infrastructure policy to ensure the continued stability of their services.<ref>https://diff.wikimedia.org/2025/04/01/how-crawlers-impact-the-operations-of-the-wikimedia-projects/</ref>

====Perplexity AI and news outlets====

Line 78:

Line 80:

"AWS's terms of service prohibit abusive and illegal activities and our customers are responsible for complying with those terms," [AWS spokesperson Patrick] Neighorn said in a statement. "We routinely receive reports of alleged abuse from a variety of sources and engage our customers to understand those reports."

</blockquote>

====Read the Docs====

In an early example, on 25 July 2024, open source documentation website Read the Docs detailed cases of abusive bots downloading large amounts of content from the service. Particularly, the significant range of IP addresses used in an aggressive manner rendered existing rate limiting ineffective. Taking action to block traffic identified by Cloudflare as "AI crawlers" reduced bandwidth requirements by 75%, at a cost saving of $1,500 USD/month.<ref>https://about.readthedocs.com/blog/2024/07/ai-crawlers-abuse/</ref>

====SourceHut and Fedora Linux====

On 15 March 2025, an infrastructure manager for the [[wikipedia:Fedora Linux|Fedora Linux]] open source project discussed an assumed large language model crawling attack against the Prague.io Git source code hosting service. The project made the decision to block the entire country of Brazil for some time, while also blocking access to certain repositories whose traffic was creating significant CPU usage.<ref>https://www.scrye.com/blogs/nirik/posts/2025/03/15/mid-march-infra-bits-2025/</ref><ref>https://www.scrye.com/blogs/nirik/posts/2025/03/29/late-march-infra-bits-2025/</ref>

On 17 March 2025, the Git source code host SourceHut announced that the service was being disrupted by large language model crawlers. Mitigations deployed to reduce disruption involved requiring login for some areas of the service, and blocking IP ranges of cloud providers, affecting legitimate use of the website by its users.<ref>https://status.sr.ht/issues/2025-03-17-git.sr.ht-llms/</ref> In response to the event, SourceHut founder Drew DeVault wrote a blog post entitled "[https://drewdevault.com/2025/03/17/2025-03-17-Stop-externalizing-your-costs-on-me.html Please stop externalizing your costs directly into my face]", discussing his frustrations with having ongoing and ever-adapting attacks that must be addressed in a timely fashion to reduce disruption to legitimate SourceHut users. DeVault estimates that between "20-100%" of his time is now spent addressing such attacks.

==Privacy concerns of online AI models==

@@ Line 62: / Line 62: @@
 </blockquote>
-====MediaWiki====
+====MediaWiki, Wikipedia, and the Wikimedia Foundation====
 [[wikipedia:MediaWiki|MediaWiki]] is of particular interest to LLM training due to the vast amount of factual, plain-text content wikis tend to hold. While [[wikipedia:Wikipedia|Wikipedia]] and the [[wikipedia:Wikimedia Foundation|Wikimedia Foundation]] host the most well-known wikis, numerous smaller wikis exist thanks to the work of many independent editors. The strength of wiki architecture is its ability for every edit to be audited by anyone, at any time - you can still view [https://en.wikipedia.org/w/index.php?oldid=1 the first edit to Wikipedia] from 2002. This makes wikis a hybrid of a static website and a dynamic web app, which becomes problematic when poorly-designed bots attempt to scrape them.<ref name="geraspora" />
 <!-- COI alert: I, [[User:kirb]], am an admin for The Apple Wiki. Hopefully this is neutral enough?
 -->The Apple Wiki, which documents internal details of Apple's hardware and software, holds more than 50,000 articles. On 2 August 2024, with a repeat occurrence on 5 January 2025, the service was disrupted by scraping efforts.<ref>https://theapplewiki.com/wiki/The_Apple_Wiki:Community_portal#Bot_traffic_abuse</ref> The wiki contains a considerable amount of information that is scraped by legitimate security research tools, making it difficult for the website to block non-legitimate requests. Efforts to block unethical scraping and protect the wiki have disrupted these legitimate tools. The large article count, combined with more than 280,000 total edits over the wiki's lifetime, create an untenable situation where it is simply not possible to scrape the website without causing significant service disruption.
+On 1 April 2025, the Wikimedia Foundation indicated that its infrastructure has been under increasing pressure from content scraping bots since January 2024, with the particularly critical metric that "65% of our most expensive traffic comes from bots", despite estimating 35% of all traffic as coming from bots. The bots create traffic patterns that are significantly unlike human traffic patterns, effectively bypassing Wikimedia's caching infrastructure and placing significant load on the core servers. A blog post provides an example where bot traffic caused the [[wikipedia:Wikimedia Commons|Wikimedia Commons]] service to become unstable during a human traffic spike. The Foundation is considering introduction of a Responsible Use of Infrastructure policy to ensure the continued stability of their services.<ref>https://diff.wikimedia.org/2025/04/01/how-crawlers-impact-the-operations-of-the-wikimedia-projects/</ref>
 ====Perplexity AI and news outlets====
@@ Line 78: / Line 80: @@
 "AWS's terms of service prohibit abusive and illegal activities and our customers are responsible for complying with those terms," [AWS spokesperson Patrick] Neighorn said in a statement. "We routinely receive reports of alleged abuse from a variety of sources and engage our customers to understand those reports."
 </blockquote>
+====Read the Docs====
+In an early example, on 25 July 2024, open source documentation website Read the Docs detailed cases of abusive bots downloading large amounts of content from the service. Particularly, the significant range of IP addresses used in an aggressive manner rendered existing rate limiting ineffective. Taking action to block traffic identified by Cloudflare as "AI crawlers" reduced bandwidth requirements by 75%, at a cost saving of $1,500 USD/month.<ref>https://about.readthedocs.com/blog/2024/07/ai-crawlers-abuse/</ref>
+====SourceHut and Fedora Linux====
+On 15 March 2025, an infrastructure manager for the [[wikipedia:Fedora Linux|Fedora Linux]] open source project discussed an assumed large language model crawling attack against the Prague.io Git source code hosting service. The project made the decision to block the entire country of Brazil for some time, while also blocking access to certain repositories whose traffic was creating significant CPU usage.<ref>https://www.scrye.com/blogs/nirik/posts/2025/03/15/mid-march-infra-bits-2025/</ref><ref>https://www.scrye.com/blogs/nirik/posts/2025/03/29/late-march-infra-bits-2025/</ref>
+On 17 March 2025, the Git source code host SourceHut announced that the service was being disrupted by large language model crawlers. Mitigations deployed to reduce disruption involved requiring login for some areas of the service, and blocking IP ranges of cloud providers, affecting legitimate use of the website by its users.<ref>https://status.sr.ht/issues/2025-03-17-git.sr.ht-llms/</ref> In response to the event, SourceHut founder Drew DeVault wrote a blog post entitled "[https://drewdevault.com/2025/03/17/2025-03-17-Stop-externalizing-your-costs-on-me.html Please stop externalizing your costs directly into my face]", discussing his frustrations with having ongoing and ever-adapting attacks that must be addressed in a timely fashion to reduce disruption to legitimate SourceHut users. DeVault estimates that between "20-100%" of his time is now spent addressing such attacks.
 ==Privacy concerns of online AI models==