User:Czarking0

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I support WP:RECALL for anyone who has not brought an article past WP:GAR in the last two years

The Million Award
For your contributions to bring ChatGPT (estimated annual readership: 43,000,000) to good article status, I hereby present you the Million Award. Congratulations on this rare accomplishment, and thanks for all you do for Wikipedia's readers! Crystalite13 (talk) 18:36, 23 February 2026 (UTC)
Andy Grove Robert Noyce Gordon Moore 1978 edit
 #Colorado

cool tool: https://scholia.toolforge.org/topic/Q84263196


Thanks for your interest in (draft name). I will move your comment to the draft's talk page as that is the appropriate place for this discussion and respond to you there.

This editor is a
Veteran Editor II
and is entitled to display this
Bronze Editor Star.

Things I am Knowledgeable About

Ideas for future work

Realistically I will never get to these

https://en.wikipedia.org/w/index.php?title=Department_of_Government_Efficiency&diff=1293940590&oldid=1293940373

  • Jean Destremau

Military Articles Close to Up Ranking

Future

  • Fallows 1980s book National Defense. The Spoils of War was good too
  • How did Total Package Procurement impact the industry?
  • Is there a legitimate risk in mixing the government contract industry with the private market? Like the L-1011 example? Is there a benefit in separating them?
  • why did rolls royce go bankrupt?
  • While the services calculate their own estimates for program costs before soliciting bids, they are required to replace these numbers with the winning contractor's estimate when formulating the fmal contract. According to Sambur, the result is that "the winning number is often too low . . . when, infact, the original DoD estimates are generally within 3 percent of the final cost."
  • GAO Director of Acquisition and Sourcing Management Michael Sullivan noted in testimony before the Senate Armed Services Committee this year that GAO's annual studies of MDAPs "have consistently found that the vast majority of programs began system development without mature technologies and moved into system demonstration without design stability.

Message to blocked users

You seem like a salvageable editor so I want to explain a few things and I hope you will continue to take interest in the project in the future. First, there are a lot of guidelines for editing this encyclopedia. They come from our consensus building process. Good editors take time to read the guidelines and follow the consensus rather than their own opinion. WP:TEAHOUSE has great starting resources. Coming to the project with the goal of currying favor is a hard place to start being a good editor from but if you restart from here I am confident the community will be pleased to have you back. In this particular instance you were blocked by an administrator after you failed to follow consensus. I understand that your interpretation of the guidelines leads to you believe you were not in the wrong. Maybe the guidelines should be edited to more directly cover your situation. However, what is in the guideline does not matter when the appropriate WP:VENUE has formed WP:CONSENSUS we can ignore the guidelines. Now I encourage you to read all these policies and the others mentioned and appeal your block. Then I hope you can find joy in editing pages that you do not expect to personally gain from.

Sources for mines in Ukraine

Billionaires

财源滚滚裁员滚滚 Most of the pages in Category: American billionaires are puff pieces. I started trying to remedy this only to realize the problem is that mainstream media published these puff pieces and WP follows the sources. Typical example I wonder if the RS guidelines could ever be modified to account for this?

Turns of pharse

  • It is difficult for the american people, who have been tricked by the billionaire media to understand the importance of having guns in their own hands.

Holy mother of LLM use

I just read the Jimbo AFC LLM idea thread and one of the common issues I see from editors discussing LLM use is how limited they think it is. As an example of what I mean "Generative LLMs are not accurate or intelligent enough at this point to be a useful tool on Wikipedia." Accuracy and intelligence are not what make useful wikipedia tools AWB is highly inaccurate if one does not reject many changes and Twinkle has no intelligence at all. I believe this sentiment comes from users who have only used LLMs as web interfaces to a chatbot like ChatGPT. An LLM is much more powerful when controlled by an application and given much more context control via a database. For example I have PROD'd like 10 of User:Bine Mai 's low importance stubs. They created thousands and I would like to remove the other non notable ones but I am not willing to read hundreds of these low quality stubs and google them because like half of them are notable. It is very much in the bounds of an application controlling an LLM to go through all of these and rank them from least to most notable. It would be especially helpful because many of these are in eastern europe and use sources I cannot read without an LLM to translate them for me anyway.

rep

  • AI bill of rights which acknowledges the need to informed authorship. Police reports, government documents, and other records generated in part or whole by artificial intelligence shall not be used as evidence in the court of law without preliminary disclosure of the fact that the records were generated in whole or part by artificial intelligence and all available information regards the inputs and models used to generate such records shall be included with the disclosure.

Reform ideas

GA Review Template

Related Articles

Wikiwand AI