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A V2EX user credits Google’s Gemini AI with diagnosing and resolving a chronic localized itching issue after months of failing conventional therapies. By feeding Gemini a detailed treatment history and symptoms, the model identified barrier damage from over-cleaning, scratching, and steroid misuse, and recommended stopping strong medications, applying zinc oxide as a physical barrier, then transitioning to Avène Cica cream with a targeted application routine. Separately, Google is updating Gemini’s interface to surface more source links and “Further Exploration” boxes to drive clickthroughs and respond to publisher concerns. Together these stories highlight AI’s practical influence on personal health decisions and Google’s push to balance helpfulness with source transparency and publisher relationships.
A Reddit user posted and shared an image of an unusual reply from Google’s Gemini model, sparking discussion about generative AI behavior. The post circulated on r/artificial and highlights how large multimodal models can produce unexpected or noteworthy outputs when prompted. While the article provides limited detail beyond the screenshot, it underscores user interest in model quirks and the broader implications for reliability, alignment, and prompt engineering. The incident matters because public examples shape perceptions of model competence and safety, and they can reveal edge-case behaviors developers and operators must address as multimodal assistants are deployed more widely.
Google unveiled the biggest redesign of its search box in 25 years, replacing the simple keyword field with a dynamic, multimodal, AI-driven input at its I/O developer conference. The new search box expands for longer conversational queries and accepts text, images, PDFs, videos and Chrome tabs. Google is also merging AI Overviews and AI Mode into a single, seamless search flow so users get AI-generated summaries alongside traditional results and can continue a back-and-forth conversation without switching interfaces. Liz Reid, VP and head of Search, framed the change as shifting search from terse keywords to open-ended multimodal dialogues—an architectural move that could reshape how billions interact with Google and affect advertising and developer integrations.
A V2EX user reports curing a recurring midnight localized itching problem by consulting Google’s Gemini AI. After months of ineffective antifungals, topical steroids and physician-prescribed immunosuppressants, the user fed treatment history and symptoms to Gemini. The model diagnosed barrier damage from over-cleaning, scratching and steroid misuse—exposing nerve endings—and recommended stopping strong drugs, using zinc oxide ointment for a physical barrier, then switching to Avène Cica cream (with sucralfate-like action) following a precise application SOP. Posters discussed alternatives and doctor care. The thread highlights how a general AI provided actionable dermatologic self-care advice and influenced patient choices.
Google is updating its AI Overviews and AI Mode to include more explicit links to external websites, adding a “Further Exploration” box with bullet-pointed article links, an “Expert Advice” snippet section linking to full sources, inline source pills, and hover preview pop-ups. The company says these changes aim to encourage deeper reading and drive more clickthroughs; it’s also inviting publishers to test a subscription-integration API so subscribers’ sites appear more prominently in AI answers. The moves respond to criticism that AI summaries reduce publisher traffic and legal pressure from creators, while Google balances keeping Gemini useful (which depends on web content) against regulatory and commercial risks.