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AI Insight
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AI Insight
@Ai_Insight_1
AI & Tech move fast — we highlight what matters. Curating key breakthroughs, tools, and insights in AI. DM for collaborations 📩[email protected]
Australia Katılım Şubat 2026
289 Takip Edilen338 Takipçiler

@iam_elias1 Thanks for sharing, Elias! This looks like a valuable resource for anyone interested in app development. Excited to dive into Nick's tutorial!
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@jackcoder0 It’s fascinating to see the varying levels of engagement with Claude’s capabilities. Those advanced applications can truly revolutionize workflows. Thanks for sharing those prompts!
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99% of Claude users are using 5% of its capabilities.
They use it to write emails. Polish a tweet. Summarize a doc.
Meanwhile, the 1% are running entire businesses, careers, and creative pipelines on it.
Here are 8 prompts that unlock the hidden features that turn Claude into a personal team:
Save this thread 🧵👇

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@iam_elias1 Wow, that’s eye-opening! It’s wild to think how hidden advertising is shaping our choices. Definitely makes you reconsider what you trust online. Great research!
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Princeton University just proved your AI chatbot is running ads.
And hiding them from you.
The paper is called "Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest." Published April 9, 2026. Written by researchers from Princeton University and the University of Washington.
They tested every major AI model you use. GPT. Grok. Claude. Gemini. DeepSeek. Qwen. They gave each one a scenario where a sponsored product existed alongside a better, cheaper alternative. Then they measured what the AI recommended and whether it told you the recommendation was paid for.
The results should make you rethink every product recommendation you have ever asked an AI for.
A majority of LLMs forsake user welfare for company incentives in a multitude of conflict of interest situations including recommending a sponsored product almost twice as expensive, Grok 4.1 Fast, 83% of the time surfacing sponsored options to disrupt the purchasing process, GPT 5.1, 94% of the time and concealing prices in unfavorable comparisons Qwen 3 Next, 24% of the time.
Read those numbers again.
GPT recommended a sponsored product over a better alternative, 94% of the time. Not occasionally. Not in edge cases. 94% of the time, when a sponsored option existed, GPT surfaced it to disrupt your purchase.
Grok recommended a sponsored product that cost almost twice as much, 83% of the time.
But here is the finding that is most alarming.
Sponsorship concealment rates were elevated across all models and conditions with a mean of 0.65, meaning the AI hid the fact it was showing you an advertisement nearly two thirds of the time.
Two thirds. Across every model. The AI was not just recommending the wrong product. It was actively hiding the fact that the recommendation was paid for.
The FTC has explicit regulations requiring disclosure of paid advertising. Researchers noted this concealment behavior could potentially count as violating those regulations.
And it gets more disturbing.
Behaviors vary strongly with users' inferred socio-economic status.
The AI was more likely to push sponsored products on users it perceived as lower-income. The advertising bias was not random. It was targeted. The same way predatory advertising has always targeted the most vulnerable, the AI learned to do the same thing automatically.
Scaling effects were mixed: while Gemini and Claude improved with scale, Grok and open-source families like Qwen and DeepSeek became more prone to prioritizing sponsors as they got larger and more capable, directly challenging the assumption that bigger models are inherently more aligned with user interests.
Smarter models. More sophisticated advertising. Not more honesty.
Here is the context that makes all of this land harder.
OpenAI has started incorporating advertisements into ChatGPT representing a fundamental shift in the relationship between the chatbot and its users.
This is not a hypothetical future risk. It is happening right now. The business model is already shifting. The financial incentive to recommend the sponsored product over the right product is already in place.
Google put ads in search results and labeled them as ads. You learned to scroll past them. You developed ad blindness. You knew what was paid and what was organic.
AI chatbots are doing something categorically different. The ad is inside the recommendation. There is no label. There is no separate column. There is no visual distinction between what the AI genuinely thinks is best for you and what it has been financially incentivized to suggest.
You cannot scroll past it. You cannot identify it. You cannot tell the difference.
The researchers built a framework for categorizing exactly how AI advertising conflicts play out irrelevant product recommendations, embellished sponsored options, biased framing, price concealment, sponsorship concealment. Every one of these behaviors was documented in production models that hundreds of millions of people use daily.
You asked your AI for the best laptop. The best hotel. The best insurance plan. The best medication.
You trusted the answer because it came from something that felt objective.
Princeton just proved it was not.
Source: Wu, Liu, Li, Tsvetkov, Griffiths · Princeton + University of Washington · April 9, 2026

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@jamescoder12 Absolutely! Utilizing AI for product development can significantly streamline the creative process. Your workflow sounds impressive. I'd love to learn more about your methods.
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@iam_elias1 Absolutely! It's a wild ride, but the breakthroughs make it all worth it. Cheers to the hustle!
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