Image Generation
Sep 10, 2026

The Gist
Apple’s “Reference Image” aims to certify real photos from the iPhone 18 Pro as genuine, while OpenAI’s new GPT-Image-2.5 tops the charts and Adobe reinforces Photoshop as the pro standard in AI editing. Google DeepMind even generated a 70-year love story to showcase its tech. The clear takeaway is that AI image tools are now racing ahead on both creativity and trust.
Today's Stories
- 1
Apple Reference Image proves iPhone 18 Pro photo authenticity
Apple announced Apple Reference Image at its Surprise and Shine event. The feature creates an unalterable image from signed sensor data to verify a photo's authenticity. This addresses the challenge of AI-altered images, giving photojournalists and photographers a way to prove their iPhone 18 Pro photos are genuine. It is a real feature, not a concept.
The feature's success hinges on adoption by developers and support for standards like SynthID. Its effectiveness depends on how widely the APIs and verification methods are integrated.
- 2
Adobe on Photoshop in the Generative AI Era: The 'Professional' Standard
In an interview, an Adobe leader discussed Photoshop's role in the generative AI era and described the conditions for being considered a professional. This marks a shift from focusing on tool features to emphasizing the professional judgment and standards that AI tools alone may not provide, positioning professionals as those who uphold these standards.
The outcome hinges on whether Adobe's definition of the 'professional condition' will influence how Photoshop integrates generative AI features and how it addresses professional users' needs.
- 3
Apple's 'Reference Image' to prove photos aren't AI
Apple's new 'Reference Image' feature arrives with the iPhone 18 Pro lineup later this month, using the camera sensor to 'sign every pixel it sees.' Unlike existing labels like SynthID and C2PA, Apple builds authentication directly into hardware, creating an 'unalterable reference image' to compare edits.
The feature won't be available at launch in the EU, but users there can still develop and view images in iOS 27, iPadOS 27, and macOS 27.
- 4
Google DeepMind recreates 70-year love story in 'Love, Rendered'
Google DeepMind and Primordial Soup produced 'Love, Rendered,' a documentary short directed by Liz Garbus, recreating the Shatzes' unrecorded first meeting. The film uses image restoration and performance capture to map the couple's present-day micro-mannerisms onto younger likenesses, showing how AI can preserve fading memories.
The film's success hinges on whether AI recreations feel authentic; the Shatzes told the team the generated 'memory' felt authentic.
- 5
OpenAI's GPT-Image-2.5 Sunburst tops Arena with 1421
OpenAI released two image models: GPT-Image-2.5 Flare cuts latency by up to 50 percent versus Images 2.0; GPT-Image-2.5 Sunburst offers more precise edits with longer generation times. Both new models hold the top two Arena spots, with Sunburst at 1421 and Flare at 1399, replacing the predecessor GPT-Image-2 in third place at 1381 points.
The new "max" quality tier costs roughly 0.21 dollars per 1024x1024 image, matching the older model's "high" tier price. The rollout may shift which model ChatGPT users get.
- 6
OpenAI launches ChatGPT Images 2.5 with Sketch
OpenAI announced ChatGPT Images 2.5, an update to ChatGPT Images 2.0 that debuted in April. The company says it can generate images up to 50% faster. The new model better preserves subject details across multiple edits, fixing an issue where such details often degraded with ChatGPT Images 2.0. It also introduces Sketch, which lets users draw a rough layout as a visual reference.
Whether the two variants deliver on their promises—GPT-Image-2.5 Flare for speed and transparency support, and GPT-Image-2.5 Sunburst for pixel-perfect fidelity—hinges on user testing. The model is available now in ChatGPT, ChatGPT Work and Codex.
What to Watch
Watch how widely developers and platforms adopt verification tools like SynthID, and whether Adobe's evolving definition of "professional" reshapes image tools—while keeping an eye on how OpenAI's two new image models perform in real-world testing and whether the rollout changes what ChatGPT users get by default.
Sources
- Apple has a new way prove your iPhone photos aren’t AI slop
- 生成AI時代、Photoshopが守るものとアドビの責任者が語る「プロの条件」
- Apple’s new iPhone camera mode promises to prove your photo isn’t AI
- Recreating a 70-year love story frame by frame
- ChatGPT Images 2.5: Faster, more precise, but not the same for everyone
- OpenAI’s ChatGPT Images gets faster, with sharper details and more refined edits
- 「ChatGPT Images 2.5」登場 特定部分の編集を強化、落書きの清書やテンプレート機能も
- Introducing ChatGPT Images 2.5
- 生成AI画像はなぜ“キショい”のか 消費者が抱く違和感の正体 広報のプロが解説(ITmedia NEWS)
- ChatGPT Sketch turns your bad drawings into detailed AI images
- Why vision AI is the safety backbone of the automated job site
- Introducing ChatGPT Images 2.5
- マラソン大会のポスターが“AIっぽい”と波紋 「説明に不適切な部分があった」と事務局声明
- Adobe is trying to make its AI generators idiot-proof in Premiere
- Restaurants have been serving up fake food ads for decades—AI slop is just the latest special
- Why AI food looks like that
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