Urgent.News

What's breaking now, across thousands of outlets.

AI

ChatGPT’s iPhone app gets a handy shortcut to attach recent photos more quickly

Users who rely on ChatGPT for quick visual searches can now add photos to a conversation more quickly with a new gesture. Here’s how.

ChatGPT’s iPhone app gets a handy shortcut to attach recent photos more quickly

OpenAI has introduced a new gesture in its iPhone app that allows users to attach recent photos to a ChatGPT conversation more swiftly. Previously, users had to tap the + button, navigate to the Photos library, and select an image from their collection. However, the new gesture simplifies the process significantly. Users can now long-press the + button on the left-hand side of the prompt box, revealing their four most recent photos.

Selecting one of these four images enables them to attach it to the conversation and pose a question or incorporate it into their prompt. This update, announced by OpenAI's Adam Fry on X, complements other enhancements to ChatGPT, such as improved time awareness, faster loading and performance for lengthy conversations on the web, and clearer user interface updates when users are waiting for an internet connection.

Written by urgent.news from 9to5Mac's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at 9to5mac.com →

More in AI

A modular offline multilingual speech-to-speech translation system with confidence-aware ASR routing and language-aware TTS

Scientific Reports, Published online: 22 August 2026; doi:10.1038/s41598-026-67788-0 A modular offline multilingual speech-to-speech translation system with confidence-aware ASR routing and…

  • Modular offline system integrates language identification, routing, translation, and synthesis
  • Routing threshold of 0.70 lowers recognition errors in Indic languages
  • Mean model-only CPU latency of 25.41 seconds for offline multilingual speech translation

Multi-label arrhythmia classification from Holter scatter plots using deep learning and clinically oriented thresholds

Scientific Reports, Published online: 22 August 2026; doi:10.1038/s41598-026-68106-4 Multi-label arrhythmia classification from Holter scatter plots using deep learning and clinically oriented…

  • Clinically oriented thresholds improved specificity to 0.885 but decreased macro-F1 score to 0.693.
  • Scatter plot-based deep learning could serve as efficient preliminary screening for Holter analysis.

More from Friday 21 August →