Click any tag below to further narrow down your results
Links
ChatGPT now lets U.S. users link Apple Health and supported medical records so the AI can compare lab results, track trends, and prep you for appointments with personalized insights. It runs on the new GPT-5.6 Sol model, adds health context to any chat with your permission, and wraps all data in extra encryption without using it to train models or target ads.
- ChatGPT can now link Apple Health and medical records (hospital systems, One Medical, Function Health) to compare lab results, flag trends, and personalize advice with user permission
- Runs on GPT-5.6 Sol for paid users and GPT-5.5 Instant for free users, with physician-run HealthBench Professional tests showing every GPT-5.6 variant beating GPT-5.5 on hard health tasks
- Health data gets extra encryption, is never used to train models or target ads, and synced data deletes within 30 days of disconnection
OpenAI is rolling out ChatGPT Health to all U.S. users over 18 on free and paid plans, letting them link personal data from Apple Health, Epic and other platforms. The feature, tested since January amid rising health queries and a lawsuit over bad advice, still carries a disclaimer against using it for formal diagnosis.
- ChatGPT Health is now available to all US users 18+ across free and paid plans, letting them connect data from Apple Health, Epic, and similar platforms into any chat.
- Health-related queries on ChatGPT have jumped from 230 million to 300 million per week since January testing began.
- OpenAI still disclaims the tool for diagnosis or treatment, a stance relevant to a lawsuit claiming ChatGPT discouraged a Florida pastor from seeing a doctor.
Analysis of anonymized AI chat data shows that when platforms like ChatGPT or Gemini actively recommend your brand, new users become roughly twice as likely to search you, visit your site, or view your products compared to mere mentions. The lift varies by platform, placement, and framing, with “best” or first-listed recommendations driving the highest follow-up intent.
- When AI chatbots actively recommend a brand (vs. just mentioning it), users become roughly twice as likely to search for it, visit its site, or view its products—effects platforms usually misattribute to "organic" or "direct" traffic.
- ChatGPT recommendations drive far stronger downstream action (up to 267% lift in retailer page views) than Gemini's, which barely moves site visits and doesn't boost retailer views at all—likely because ChatGPT's user base skews more purchase-ready.
- The biggest gains come from converting new audiences with no prior brand interest, not from re-engaging existing customers.
Getty Images struck a multi-year deal to surface its licensed photo and video libraries within ChatGPT’s search and discovery features. The integration brings high-quality visuals into AI responses by leveraging Getty’s content across OpenAI’s interface.
- Getty Images signed a multi-year deal letting ChatGPT pull licensed photos and videos into its search/discovery results instead of generic or unlicensed images.
- Getty's CEO frames it as making AI search "more useful and more trustworthy" by illustrating answers with real, professionally shot content.
- Getty brings a huge pool to draw from: three brands (Getty Images, iStock, Unsplash), ~600,000 contributors, coverage of 160,000+ live events yearly, and a historical archive dating back to early photography.
OpenAI’s ChatGPT, with 1.1 billion monthly users, saw its global market share drop to 46.4% in May as Google’s Gemini and Anthropic’s Claude gained ground. Sensor Tower data shows installs and spending on AI apps are up, but growth is slowing and users are switching assistants more often, driven by features, pricing and brand trust.
- ChatGPT's market share dropped from 50%+ in January to 46.4% by May as Gemini (27.7%) and Claude (10.3%) gained ground
- A spike in ChatGPT uninstalls after OpenAI's February defense deal suggests brand trust/values now drive user churn as much as features do
- AI app spending grew to $4.2 billion in H1 2026 (from $1.83 billion in H1 2025), but growth is slowing and Asia saw a 3.3% download decline in Q1
- ChatGPT's shopping referral links are boosting traffic to Target and Costco while Amazon blocks its crawlers, and Walmart's Spark assistant is closing in on Amazon's Rufus
ChatGPT Images 2.0 uses a new model that overcomes diffusion-driven spelling errors and renders small text, icons, and UI elements cleanly at up to 2K resolution. It adds web search, multi-image prompts, and support for non-Latin scripts, with knowledge capped at December 2025. All ChatGPT and Codex users get access Tuesday, with paid tiers unlocking higher-quality outputs and an API.
- ChatGPT's new Images 2.0 model renders text, icons, and UI elements accurately at up to 2K resolution, fixing the garbled-text problem that plagued earlier diffusion-based image generators
- It adds "thinking" features like web search, multi-image generation per prompt, and self-verification of outputs, plus cleaner rendering of non-Latin scripts (Japanese, Korean, Hindi, Bengali)
- Training data is capped at December 2025, so it may fumble very recent events
- Rolling out Tuesday to all ChatGPT and Codex users, with paid tiers getting higher-quality output and a new gpt-image-2 API priced by resolution and fidelity
OpenAI has rolled out ChatGPT Images 2.0, its upgraded image-generation feature within ChatGPT. The update adds multiple output modes—classic, horizontal, square, and vertical—for more flexible image creation directly in the chat interface.
- Generation speed dropped from about 7 seconds to roughly 3 seconds per image
- New aspect-ratio presets (Horizontal, Square, Vertical) eliminate manual dimension prompts
- Reference injection lets users upload a sample image to blend its style with a text prompt
- Image generation and editing now happen directly inside ChatGPT threads instead of a separate tool
Ahrefs analyzed 1.4 million ChatGPT 5.2 prompts to show that 88% of cited URLs come from its “search” ref_type, while Reddit and YouTube sources rarely get credit despite heavy use. Citation decisions hinge less on snippets or dates and more on semantic similarity between query (and internal fanout sub-queries) and the page’s title or URL, plus natural-language slugs and content freshness.
- 88.46% of ChatGPT's citations come from the general "search" ref_type, while Reddit (67.8% of non-cited URLs), YouTube, news, and academic sources are pulled heavily but almost never cited.
- Snippets and publication dates looked like citation drivers at first (14.8% vs 4.36% snippets, 92.7% vs 36% pub_dates) but that gap disappears once Reddit's API-fed data is excluded, revealing it as a pipeline artifact rather than a real signal.
- Semantic similarity between page titles and the query is the real driver: cited URLs show higher cosine similarity to the original prompt (0.602 vs 0.484) and to ChatGPT's hidden internal "fanout" sub-queries (max match 0.656).
- Matching a page's title/URL to the model's likely sub-questions, not stuffing content with dates or snippets, is the most reliable lever for getting cited.
OpenAI has introduced a Health mode for ChatGPT, allowing users to securely share health information and connect medical records and wearables. While this aims to enhance accessibility and privacy, concerns arise over the potential for misleading medical advice and data security, especially given previous incidents involving harmful guidance.
- OpenAI launched a Health mode letting ChatGPT users connect medical records and wearables, claiming encrypted, separate storage from regular chat history despite not being HIPAA-compliant.
- Over 230 million people already ask ChatGPT medical questions weekly, so this formalizes existing behavior rather than creating new use.
- Past cases of harmful chatbot advice leading to hospitalization or death raise doubts about safety despite physician-shaped guidelines meant to redirect users to real doctors.
- Mental health support was notably excluded from the update, raising questions about OpenAI's priorities on user safety.
OpenAI has introduced ChatGPT Health, a dedicated platform for users to discuss health-related topics with the AI. This feature aims to separate health conversations from regular chats and can integrate with wellness apps, while also addressing challenges in the healthcare system. However, OpenAI emphasizes that the tool is not intended for diagnosing or treating health conditions.
- OpenAI says 230 million users ask ChatGPT health-related questions every week.
- ChatGPT Health is a separate space for health conversations, distinct from regular chats.
- It can integrate with wellness apps to pull in personal health data.
- OpenAI stresses the tool is not meant to diagnose or treat medical conditions.
ChatGPT Health may be a marketing strategy rather than a genuine innovation, potentially allowing tech giants to dominate the healthcare sector. The article questions OpenAI's claims of enhanced security and adherence to HIPAA standards, drawing parallels to past controversies with data privacy in the tech industry.
- OpenAI's claims of HIPAA compliance and enhanced security for ChatGPT Health may be more marketing spin than substantive privacy protection
- The move could let a tech giant leverage user trust to gain a dominant foothold in the healthcare data market
- The situation echoes past tech industry controversies over data privacy, raising skepticism about the sincerity of OpenAI's promises
Google has launched its powerful Gemini AI model, which has outperformed competitors, including OpenAI's ChatGPT, to become the leading AI chatbot. The company's extensive investment in research and hardware development has enabled it to protect its search business amidst the growing popularity of chatbots.
- Google's Gemini model has overtaken ChatGPT to become the top-ranked AI chatbot
- Years of heavy investment in in-house AI research and custom hardware (TPUs) let Google catch up after appearing to lag OpenAI
- That infrastructure edge is also helping Google defend its core search business against the threat posed by chatbots