Study mode in ChatGPT is designed to be interactive, using Socratic questioning and scaffolded responses to help guide users. Available to logged-in Free, Plus, Pro, Team users, with availability in ChatGPT Edu coming in the coming weeks. https://
openai.com/index/chatgpt-
study-mode/
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ChatGPT Study Mode Uses Socratic Questioning for Interactive Learning
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OpenAI Launches Study Mode: AI Guides Learning Through Socratic Questioning
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AI education keeps getting better
— Rowan Cheung (@rowancheung) 29 juillet 2025
OpenAI just launched study more in ChatGPT
Instead of just giving answers, it guides through problems step-by-step using Socratic questioning, hints, and self-reflection
2025 is becoming the self-learner's paradise pic.twitter.com/ytHQpYzms8AI education keeps getting better OpenAI just launched study more in ChatGPT Instead of just giving answers, it guides through problems step-by-step using Socratic questioning, hints, and self-reflection 2025 is becoming the self-learner's paradise
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Variation differences between Claude 2.5 Pro and 2.5 Flash
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v interesting! why does 2.5 pro vary so much while 2.5 flash not vary at all? seems weird?
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Qwen3-30B-A3B-Instruct-2507 Now Available in Anycoder for Vibe Coding
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Qwen3-30B-A3B-Instruct-2507 @Alibaba_Qwen is now available in anycoder for vibe coding
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NotebookLM Adds Video Overviews with Narration
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BREAKING 🚨: NotebookLM released Video Overviews! Video Overviews arrive in the form of video presentations with text diagrams and pictures, accompanied by voice narration.
— 🚨 AI News | TestingCatalog (@testingcatalog) 29 juillet 2025
Users can generate them from an updated Studio UI as well as add custom instructions. https://t.co/MHs5FVXHWx pic.twitter.com/yQ8JU1UArEBREAKING : NotebookLM released Overviews! Overviews arrive in the form of video presentations with text diagrams and pictures, accompanied by voice narration. Users can generate them from an updated Studio UI as well as add custom instructions.
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GPT-2 Negation Understanding: From 2019 Struggles to Modern Progress
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i fondly recall arguing in 2019 with another researcher about how whether models understand negation. this really was a major sticking point at the time, GPT-2 couldn't reliably distinguish between "I did like that" and "I didn't like that". at some point we fully blew by the
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Zero-Cost Model Serving: SFT vs RLHF Strategy
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hypothetical situation – i am an AI company that's reduced the cost of transferring and storing models to zero. i can serve each user their own model with no overhead what do i do? directly SFT user-specific models on their data? or RLHF on the chat ratings? something else?
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Self-Correcting RAG Agent for Automated Code Generation
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LangGraph: Building a Self-Correcting RAG Agent for Code Generation Ready to level up your AI workflows? In our latest #LangGraph post, we built a self-correcting RAG agent that writes Python code with Hugging Face Diffusers, runs it, learns from errors, and iterates until
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GPT-5’s Real Progress Will Be Stopping Sycophantic Agreement
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La plus grande avancée de GPT-5 sera le jour où il cessera de toujours être d’accord avec nous. Aujourd’hui, il nous donne raison… même quand on a tort.
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GPT-5-Alpha Impresses in Internal Testing
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GPT-5-Alpha has been tested by the Cursor team internally. It is able to one shot almost anything it seems.
— 🚨 AI News | TestingCatalog (@testingcatalog) 29 juillet 2025
Alpha models are always the best 🤖 https://t.co/JgwUDHS2bI pic.twitter.com/bgn4CKz5PmGPT-5-Alpha has been tested by the Cursor team internally. It is able to one shot almost anything it seems. Alpha models are always the best