Artificial intelligence/training: Difference between revisions

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Ultimately, it depends a lot on the technical details of how each model works, so none of those arguments are universal.

Some people request that, at the very least, the sources of the training data must be publicly disclosed, for the sake of [[wikipedia:Transparency_(behavior)|transparency]] and [[wikipedia:Attribution_(copyright)|attribution]].<ref>{{Cite web |last=Tunney |first=Justine |date=2024-08-23 |title=AI Training Shouldn't Erase Authorship |url=https://justine.lol/history/ |access-date=2026-04-26}}</ref>

Some people request that, at the very least, the sources of the training data must be publicly disclosed, for the sake of [[wikipedia:Transparency_(behavior)|transparency]] and [[wikipedia:Attribution_(copyright)|attribution]].<ref>{{Cite web |last=Tunney |first=Justine |date=2024-08-23 |title=AI Training Shouldn't Erase Authorship |url=https://justine.lol/history/ |access-date=2026-04-26}}</ref> Others propose that authors should be [[wikipedia:Financial_compensation|compensated]] in some way, and that AI should be regulated.<ref>{{Cite web |last=Hartzell |first=Jimmy |date=2024-06-30 |title=Large Language Models Should Have to Obey Copyright |url=https://www.thecodedmessage.com/posts/llm-copyright/ |access-date=2026-05-18 |website=The Coded Message}}</ref>

===Energy use===

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Massive data needs massive bandwidth. Scraping web-pages across the entire internet requires sending millions of requests to all known servers. Some AI companies go as far as to ''repeatedly'' send requests for the same content (or several revisions of the same content) as frequent bursts in short intervals, which is indistinguishable from [[wikipedia:Denial-of-service_attack|distributed denial-of-service (DDoS) attacks]].

=== Chip shortage ===

===Chip shortage===

Many AI companies have pre-ordered massive amounts of computer components. So much that it doesn't even fit in their current data-centers. This is done in anticipation for ''more'' data-centers being built.{{Citation needed}} This has caused such components to become scarce, and prices to spike. The most notable being the [[wikipedia:2024–present_global_memory_supply_shortage|increase in RAM prices]].

@@ Line 12: / Line 12: @@
 Ultimately, it depends a lot on the technical details of how each model works, so none of those arguments are universal.
-Some people request that, at the very least, the sources of the training data must be publicly disclosed, for the sake of [[wikipedia:Transparency_(behavior)|transparency]] and [[wikipedia:Attribution_(copyright)|attribution]].<ref>{{Cite web |last=Tunney |first=Justine |date=2024-08-23 |title=AI Training Shouldn't Erase Authorship |url=https://justine.lol/history/ |access-date=2026-04-26}}</ref>
+Some people request that, at the very least, the sources of the training data must be publicly disclosed, for the sake of [[wikipedia:Transparency_(behavior)|transparency]] and [[wikipedia:Attribution_(copyright)|attribution]].<ref>{{Cite web |last=Tunney |first=Justine |date=2024-08-23 |title=AI Training Shouldn't Erase Authorship |url=https://justine.lol/history/ |access-date=2026-04-26}}</ref> Others propose that authors should be [[wikipedia:Financial_compensation|compensated]] in some way, and that AI should be regulated.<ref>{{Cite web |last=Hartzell |first=Jimmy |date=2024-06-30 |title=Large Language Models Should Have to Obey Copyright |url=https://www.thecodedmessage.com/posts/llm-copyright/ |access-date=2026-05-18 |website=The Coded Message}}</ref>
 ===Energy use===
@@ Line 20: / Line 20: @@
 Massive data needs massive bandwidth. Scraping web-pages across the entire internet requires sending millions of requests to all known servers. Some AI companies go as far as to ''repeatedly'' send requests for the same content (or several revisions of the same content) as frequent bursts in short intervals, which is indistinguishable from [[wikipedia:Denial-of-service_attack|distributed denial-of-service (DDoS) attacks]].
-=== Chip shortage ===
+===Chip shortage===
 Many AI companies have pre-ordered massive amounts of computer components. So much that it doesn't even fit in their current data-centers. This is done in anticipation for ''more'' data-centers being built.{{Citation needed}} This has caused such components to become scarce, and prices to spike. The most notable being the [[wikipedia:2024–present_global_memory_supply_shortage|increase in RAM prices]].