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ChatGPT Ads Might Be Coming

ChatGPT Ads Might Be Coming

[inside] OpenAI may soon bring personalised ads inside ChatGPT.

Keval Vachharajani
October 30, 2025

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ChatGPT Ads Might Be Coming

OpenAI is reportedly testing personalized ads inside ChatGPT as part of its new monetization plan. The company aims to use ChatGPT’s “memory” feature to deliver conversational ads based on users’ past chats, interests, and location, similar to how Google shows tailored ads.

Key Points:

OpenAI is experimenting with sponsored replies in limited trials featuring travel and consumer brands.
The ads may appear as product links or buy buttons within chats, powered by ChatGPT’s memory feature.
CEO Sam Altman has expressed caution but admits ads might be necessary if done “thoughtfully” and transparently.

Musk Launches Wikipedia’s AI Competitor

Elon Musk’s xAI team has launched Grokipedia v0.1, an AI-powered encyclopedia that aims to rival Wikipedia by offering what Musk calls a more “truthful and independent” knowledge base. Instead of relying on human editors, Grokipedia uses the Grok AI model to write and fact-check articles with minimal human moderation. While it promises speed and accuracy, questions around transparency, originality, and bias have already surfaced since its launch.

Key Points:

Grokipedia launched on October 27, 2025, with 885,279 AI-generated articles, far fewer than Wikipedia’s 7 million.
The platform replaces community editing with AI-driven generation and “fact-checked by Grok” verification.
Critics say Grokipedia lacks editorial transparency and may still reflect biases from its training data, despite Musk’s claims of neutrality.

Apple releases new AI dataset to improve image editing models

Apple has released a massive new research dataset called Pico-Banana-400K, aimed at advancing AI-powered text-guided image editing. The dataset includes 400,000 real-world images and their edited counterparts, helping researchers train and test models that can modify visuals based on written instructions.

Key Points:

Contains 400,000 image-edit pairs across 35 edit types, including color changes, object edits, and background shifts.
Built using the Nano-Banana model and validated by multimodal LLMs and human reviewers.
Offers three research subsets for multi-turn editing, preference alignment, and instruction summarization.

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