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OpenAI introduces o3-pro

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Today’s Menu
Appetizer: OpenAI introduces o3-pro 🦾
Entrée: Wikipedia pauses AI summaries after editor protest 🗞️
Dessert: Is AI ending website traffic? 👩💻
🔨 AI TOOLS OF THE DAY
🦈 SafeWaters: Monitor shark attack risks from the beach. → Check it out
😁 MemeGen: Create memes and GIFs with AI. → Check it out
OPENAI INTRODUCES O3-PRO 🦾
There’s nothing better than a shiny new AI model to play with! 🤩
What’s new? OpenAI has released o3-pro, its most advanced AI model yet, now available for ChatGPT Pro and Team users. Developers can also access o3-pro via API, with pricing based on input and output word volume.
What are the improvements? The o3-pro model is a “reasoning model,” meaning it tackles problems step by step, making it more dependable for complex tasks like math, science, and coding. It’s built to be clearer, more accurate, and better at following instructions than earlier models. O3-pro can also use tools available in ChatGPT like web browsing, code execution, file analysis, image understanding, and memory for personalized responses. However, it’s slower than the previous model (o1-pro), and some features like temporary chats and image generation are currently unavailable.
Why does this matter? Although the release is not monumental, it represents an incremental step towards AI that reasons well. This new model means AI can now help you more effectively with real-life tasks and productivity—like solving tough homework, writing reports, or figuring out business problems. It’s smarter, more accurate, and gives more thorough answers, making it feel more like a helpful teammate than just a chatbot.
WIKIPEDIA PAUSES AI SUMMARIES AFTER EDITOR PROTEST 🗞️
Wikipedia is suddenly concerned about preserving accuracy. 🙃
What happened? Wikipedia has paused its test of AI-generated article summaries after editors raised concerns about accuracy and credibility.
Want more details? The experiment, temporarily available to users who opted in through a browser extension, displayed AI-generated summaries at the top of Wikipedia articles with a yellow “unverified” label. These summaries were hidden by default and had to be clicked to view. The goal was to help readers quickly understand article topics without having to read the entire page, but Wikipedia editors flagged issues almost immediately. They worried the AI content could include errors and undermine trust in the platform. Similar problems have led other outlets, like Bloomberg, to rethink their own similar AI experiments.
“As internet usage changes over time, we are trying to discover new ways to help new generations learn from Wikipedia to sustain our movement into the future. In consequence, we need to figure out how we can experiment in safe ways that are appropriate for readers and the Wikimedia community.”
IS AI ENDING WEBSITE TRAFFIC? 👩💻
Q: What is Eminem’s favorite website?
A: OnlyStans. 😆
What’s going on? According to a Wall Street Journal report, AI tools like Google’s AI Overviews and ChatGPT are drastically cutting traffic to news websites.
How? Instead of clicking on traditional search links, users can now get quick, AI-generated answers—often summarizing or even copying from news articles without sending readers to the original site. Google’s AI Overviews summarizes search results right on the page, while ChatGPT gives direct, conversational answers with few outbound links. As a result, traffic from Google to news outlets like The New York Times has dropped sharply. Some publishers are responding by licensing their content to tech companies or striking revenue-sharing deals.
What does this mean? As more people rely on AI for information, fewer people are visiting websites directly. While this is certainly more convenient than scrolling through a bunch of Google links for information, it means these (sometimes unreliable) AI systems are holding tons of power to disseminate information. If you generally trust AI, this seems pretty cool. If you don’t, then it’s important to stay on your toes.
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