AI Connect: SpeakingTruthToPower

A lot of users of AI are still using it primarily for speed. Ask a question. Get an answer. Move on. But Thinking Mode introduces a different way of interacting with AI. Not faster thinking. Better thinking. What makes Thinking Mode interesting is that it encourages more structured reasoning, reflection, and step-by-step understanding instead of rushing directly to conclusions. For professionals, educators, creators, caregivers, and adult learners, this can be especially valuable. It can help: • organize ideas • simplify complex topics • compare perspectives • structure decisions • reduce overwhelm • support reflective learning What stands out most is that Thinking Mode shifts AI from being a simple answer tool into something closer to a collaborative thinking partner. That does not replace human judgment. In fact, the more AI evolves, the more important critical thinking and discernment become. It is also important to understand who is behind ChatGPT. ChatGPT was created by OpenAI, a company focused on developing AI systems designed to assist people in practical and meaningful ways. As AI continues to evolve, many platforms are emerging with different strengths. What continues to distinguish ChatGPT for many users is its conversational depth, structured thinking, creativity, guided learning, and practical everyday support. This post was designed to answer many of your questions about ChatGPT and Thinking Mode. However, one of the best ways to learn is simply to ask ChatGPT directly — either by typing your questions or by using Voice Mode for a more natural conversation experience. Learning AI does not have to feel overwhelming. Sometimes the best way to begin is simply to start asking questions. #ChatGPT #ArtificialIntelligence #AdultLearning #DigitalLiteracy #Education #AI #ThinkingMode #GPTVerse

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@NBCNews 4. Who does that?

Shivon Zilis, a longtime adviser to Elon Musk who also is the mother of four of his children, takes the witness stand in a trial that has given a rare glimpse into some of Silicon Valley’s complicated relationships. nbcnews.com/tech/elon-musk…

69-year-old grandmother Loretta Mack from Albany, Georgia, made history by becoming a registered nurse in 2024. After starting as a housekeeper and later working as a CNA, she graduated from Albany State University and now works as an RN at Phoebe Putney Memorial Hospital.

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@TorontoStar Guns and mental ill negligence gets a pass.

ChatGPT collected ‘vast amounts’ of Canadians’ data without consent, privacy commissioners say trib.al/m7N1edt

That's not fair. Using an internet junkie as a bench mark to paint every student user of ChatGPT with the same brush. This individual would have cheated his/her way through University with or without ChatGPT. During my University years there were low-tech way to cheat: pay for papers, have someone else write your paper, share papers etc. Please.

🚨 University professors have been saying AI is completely destroying learning and that we'll soon have an AI-powered, semi-illiterate workforce. Here's a glimpse into the educational apocalypse: "Sarah, a freshman at Wilfrid Laurier University in Ontario, said she first used ChatGPT to cheat during the spring semester of her final year of high school. (...) After getting acquainted with the chatbot, Sarah used it for all her classes: Indigenous studies, law, English, and a “hippie farming class” called Green Industries. “My grades were amazing,” she said. “It changed my life.” Sarah continued to use AI when she started college this past fall. Why wouldn’t she? Rarely did she sit in class and not see other students’ laptops open to ChatGPT. Toward the end of the semester, she began to think she might be dependent on the website. She already considered herself addicted to TikTok, Instagram, Snapchat, and Reddit, where she writes under the username maybeimnotsmart. “I spend so much time on TikTok,” she said. “Hours and hours, until my eyes start hurting, which makes it hard to plan and do my schoolwork. With ChatGPT, I can write an essay in two hours that normally takes 12.” - "By November, Williams estimated that at least half of his students were using AI to write their papers. Attempts at accountability were pointless. Williams had no faith in AI detectors, and the professor teaching the class instructed him not to fail individual papers, even the clearly AI-smoothed ones. “Every time I brought it up with the professor, I got the sense he was underestimating the power of ChatGPT, and the departmental stance was, ‘Well, it’s a slippery slope, and we can’t really prove they’re using AI,’” Williams said. “I was told to grade based on what the essay would’ve gotten if it were a ‘true attempt at a paper.’ So I was grading people on their ability to use ChatGPT.” - AI in education is a serious topic, and many schools and universities are blindly jumping into the "AI-first" wave without considering short and long-term consequences. It would be great to hear more from teachers and educators to understand potential solutions. This might be a great opportunity for rethinking the education system and how students are assessed. - 👉 Link to the full article below. 👉 To learn more about AI's legal and ethical challenges, join my newsletter's 94,700+ subscribers (link below).

Excellente réflexion. Le « Thinking Mode » peut effectivement apporter davantage de profondeur, mais la qualité des résultats dépend toujours de la qualité de l’interaction humaine. L’équilibre se trouve probablement ici : • utiliser l’IA pour soutenir la réflexion, et non remplacer le jugement • poser des questions claires et contextualisées • guider la conversation plutôt que simplement attendre une réponse • conserver un esprit critique face aux résultats proposés En réalité, plus l’IA devient performante, plus la qualité des questions et du raisonnement humain devient importante. Le véritable enjeu n’est peut-être pas seulement ce que l’IA peut faire, mais aussi notre capacité à bien collaborer avec elle. Est-ce que cela répond à votre question ? N’hésitez surtout pas à poser d’autres questions. Souhaitez-vous recevoir le PDF du tutoriel ?

@AIToolsnApps C'est vrai que le mode de réflexion apporte une profondeur incroyable. Mais ne perdons pas de vue que la qualité de l'interaction dépend aussi des questions posées. Comment équilibrer ça ?

ChatGPT évolue bien au-delà des réponses rapides. L’un des signes les plus révélateurs de cette évolution est ce que l’on appelle le « Thinking Mode », une fonctionnalité qui permet au système de prendre davantage de temps pour analyser et structurer sa réponse avant de répondre. À première vue, cela peut sembler être une simple amélioration technique. En réalité, cette évolution reflète quelque chose de beaucoup plus important : le passage progressif d’une intelligence artificielle conçue principalement pour la rapidité vers une IA capable d’accompagner des réflexions plus approfondies et des flux de travail plus complexes. Ce tutoriel explore cette transformation étape par étape. Les premières diapositives montrent comment ChatGPT était souvent utilisé en 2024 : recherches rapides, reformulations simples, résumés ou expérimentations de base avec des prompts. Ces usages étaient utiles, mais ils ne représentaient qu’une petite partie du potentiel des systèmes actuels. La suite du carrousel met en lumière une idée essentielle : de meilleurs résultats ne proviennent pas toujours de réponses plus rapides, mais souvent d’une meilleure orientation et d’un raisonnement plus structuré. Le Thinking Mode permet à ChatGPT de comparer différentes possibilités, d’organiser l’information avec davantage de rigueur et de traiter des demandes plus complexes de manière plus réfléchie. Cela peut être particulièrement utile pour : • la planification • la rédaction • le brainstorming • la préparation de recherches • le développement de projets • l’aide à la prise de décision Le carrousel aborde également une distinction importante : la différence entre dépendance et collaboration. Une utilisation responsable de l’IA ne remplace pas le jugement humain. Elle peut plutôt réduire les frictions, accélérer les premières ébauches, améliorer l’organisation des idées et soutenir une réflexion plus efficace. Les dernières diapositives portent sur ce qui pourrait devenir l’élément le plus important dans les années à venir : l’état d’esprit. Beaucoup évaluent encore ChatGPT selon une perspective de 2024. Pourtant, en 2026, la technologie a considérablement évolué, et les utilisateurs qui adapteront leurs méthodes de travail de façon réfléchie pourraient en tirer les plus grands bénéfices. La véritable évolution ne se trouve peut-être pas uniquement dans le modèle lui-même. Elle pourrait surtout résider dans notre façon de travailler avec lui. Si vous souhaitez recevoir une copie des diapositives, n’hésitez pas à vous connecter avec moi et à m’envoyer un message privé. Selon vous, quel rôle l’IA axée sur le raisonnement jouera-t-elle dans les environnements professionnels des prochaines années ? #ChatGPT #IntelligenceArtificielle #LittératieNumérique #FuturDuTravail #FormationContinue

ChatGPT Is Evolving Beyond Quick Answers. One of the clearest signs of this evolution is something called “Thinking Mode,” where the system can spend additional time reasoning through a request before responding. At first glance, that may sound like a small technical feature. In practice, it points to something much bigger: the growing shift from AI designed primarily for speed toward AI capable of supporting deeper workflows and more deliberate problem solving. This tutorial explores that shift step by step. The opening slides explain how ChatGPT was commonly used in 2024 for quick searches, rewrites, summaries, and simple prompts. Those use cases were helpful, but they represented only a fraction of what modern AI systems are becoming capable of supporting today. The next section introduces the idea that better outcomes often come from better guidance, not simply faster responses. Thinking Mode allows ChatGPT to compare possibilities, organize information more carefully, and work through complexity in a more structured way. This becomes especially useful for planning, writing, brainstorming, research preparation, workflow development, and decision support. Another important point explored in the carousel is the difference between dependency and collaboration. Responsible AI use does not replace human judgment. Instead, it can reduce friction, accelerate first drafts, improve organization, and help users think through ideas more effectively. The final slides focus on what may matter most going forward: mindset. Many people are still evaluating ChatGPT through a 2024 lens. In 2026, the technology has matured significantly, and the users who adapt their workflows thoughtfully may benefit the most. The real upgrade may not simply be the model itself. It may be how we choose to work with it. If you would like a copy of the slides, feel free to connect with me and send me a direct message. What role do you think deeper AI reasoning will play in professional workflows over the next few years? #ChatGPT #ArtificialIntelligence #DigitalLiteracy #FutureOfWork #AdultEducation

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@NightSkyToday The Maldives gone wrong.

First city on Mars is about to be founded, and you get to name it. What would you call it?

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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.