AI Connect: SpeakingTruthToPower

La vraie puissance de ChatGPT ne se voit pas au premier regard. La plupart des utilisateurs n’exploitent que la surface de ChatGPT. Ce qui se passe “sous le capot” est pourtant là où se trouve la vraie valeur. J’ai créé une visite simple pour présenter ce qui a changé—et surtout comment l’utiliser concrètement : 💡Raisonner avant de répondre 💡Analyser des documents 💡Comprendre et interpréter des images 💡Améliorer ses visuels 💡Structurer ses idées 💡Planifier avec clarté 💡Apprendre étape par étape 💡Organiser ses connaissances 💡Créer des processus réutilisable Pas de théorie. Du concret. Cette visite GPTVerse est maintenant terminée. Si vous souhaitez recevoir les diapositives : 💬 Commentez GPTVerse Et si cela vous a été utile : Suivez pour les prochains tutoriels

@hasantoxr I can understand. x.com/i/status/20513…

Princeton proved that the world has already decided anything written by AI is worth less. Even AI thinks so. And it judges AI writing more harshly than you do. Researchers ran two controlled experiments. 556 people and 13 AI models evaluated the same pieces of writing. Some passages came from Raymond Queneau, one of the most celebrated experimental writers of the 20th century. Others were generated by GPT-4. Evaluators saw them under three conditions: no label, correctly labeled, and falsely labeled. When the same passage was labeled "written by a human," it was rated higher. When the same passage was labeled "written by AI," it was rated lower. The words did not change. The label did. That means when you submit an essay, a cover letter, or a report, and someone suspects AI wrote it, they will judge it more harshly. Not because the writing is worse. Because of what they think wrote it. It gets stranger. Humans showed a 13.7 percentage point bias in favor of human-labeled text. AI models showed a 34.3 percentage point bias. AI is 2.5 times more prejudiced against AI-labeled writing than humans are. The researchers then found something nobody expected. Evaluators did not just lower the score when text was labeled AI. They inverted their entire reasoning. The same stylistic choices that were praised as "authentic" and "emotionally resonant" when attributed to a human were dismissed as "mechanical" and "formulaic" when attributed to AI. Same words. Same sentences. Opposite judgment. The label did not adjust a score. It rewired the analysis. Then they tested whether AI models do this to each other. 14 AI models evaluating writing from 14 AI creators. Every possible combination. Every single model rated writing lower when labeled "AI-generated." Including when it was judging its own output. AI has learned to devalue itself. Not because the writing is worse. Because we taught it that the label matters more than the work. It absorbed our prejudice during training and now applies it more aggressively than we do. Here is why this matters right now. AI detection tools are being used in schools, in hiring, in publishing. If a piece of writing gets flagged as AI-generated, this paper proves that the quality of the writing becomes irrelevant. The judgment has already changed. The analysis has already flipped. The same sentence that would have earned praise will now earn suspicion. It does not matter what you wrote. It matters what they think wrote it.

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good morning everybody happy Sunday

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The door: The gunman pulled a Hussain Bolt, even Hussain Bold need more runway to pull that kind of speed. Why did the officer and the dog calmly cleared the way for him? Why did these 3 security people run back through that same exact same door from which the shooter came? What if there were other shooters in that room?

Oh boy, it gets even worse. Let's see you explain this shit. x.com/i/status/20499…

I have questions. We see the shotgun, we see him raise it towards the officers, but we see no muzzle flash (shotgun has a big one), but we do from the officers' guns. Which officer was shot? What about the agent in the center of the screen, he reacts like he was hit by something, and kinda hobbles off screen, putting his firearm away. Why would he do that? You said one of the officers was hit by a bullet; a shotgun shell is not a bullet, it's buckshot. The blast radius would cause quite a wound, don't cha think? What agent was hit, and what was he hit by? How many agents were firing their guns at the suspect? How many put other agents in the firing line? So many questions!

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@DailyLoud 20 guns to 1 and he lived to tell the tale.

JUST IN: A police K9 appeared to be suspicious of White House Correspondents' Dinner shooting suspect Cole Allen but was pulled away just seconds before Allen charged through security.

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@atrupar Ladies and Gentlemen. The President Of The United States 🇺🇸 👏

Trump: "I took three cognitive tests. Aced all of them, by the way. I'm the only president to take a cognitive test. I don't think Obama could pass it. The first question is very easy -- it's a lion, a giraffe, a bear, and a shark. They say, 'Which one is the bear?'"

@stevenweber19 @CBSNews Come to think of it you are correct.

@AIToolsnApps @CBSNews Sniff what? Guns? They all are carrying guns. What can the dog sniff?

Shortly after 8:30 p.m. on Saturday, an alleged assassin burst through a set of double doors one floor above the White House Correspondents' Dinner ballroom, where President Trump and roughly 2,600 other guests were, new footage from the U.S. attorney's office shows. In the hours and the day before the incident, Cole Allen was also captured on camera casing out the hallways of Washington Hilton Hotel. cbsn.ws/4dhQJiE

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@alexdesousa Thanks for your feedback. Tutorials are in the works.

@AIToolsnApps Je suis d'accord que beaucoup n'explorent pas vraiment les capacités de ChatGPT. Mais, est, ce que le vrai défi ne vient pas de savoir comment l'intégrer efficacement dans notre quotidien ?

La vraie puissance de ChatGPT ne se voit pas au premier regard. La plupart des utilisateurs n’exploitent que la surface de ChatGPT. Ce qui se passe “sous le capot” est pourtant là où se trouve la vraie valeur. J’ai créé une visite simple pour présenter ce qui a changé—et surtout comment l’utiliser concrètement : 💡Raisonner avant de répondre 💡Analyser des documents 💡Comprendre et interpréter des images 💡Améliorer ses visuels 💡Structurer ses idées 💡Planifier avec clarté 💡Apprendre étape par étape 💡Organiser ses connaissances 💡Créer des processus réutilisable Pas de théorie. Du concret. Cette visite GPTVerse est maintenant terminée. Si vous souhaitez recevoir les diapositives : 💬 Commentez GPTVerse Et si cela vous a été utile : Suivez pour les prochains tutoriels