Apple makes major AI advance with image generation technology rivaling DALL-E and Midjourney

Whatever your opinion, it’s undisputed that these conversations will continue to take center stage as multimodal AIs continue to advance, and AI slop and brainrot flood the dead internet. I fed it a random image of a white man, asked for a replica, and it created an Asian man,” user Todd Northrop commented on a repost. However, users quickly pointed out that the changes to the woman’s appearance in the OG video were repeating a concerning pattern across multiple instances, including this variation of the trend using the distracted boyfriend meme. This shift to what is called latent space means STARFlow doesn’t need to predict millions of pixels directly. It can focus on the broader image structure first, leaving fine texture detail to the decoder. In a notable shift from DALL-E, OpenAI now allows 4o IG to generate adult public figures (not children) with certain safeguards, while letting public figures opt out if desired.

The ‘create the exact replica of this image, don’t change a thing’ ChatGPT prompt, explained

Their findings show that a single image generation can consume as much as half of a smartphone’s battery charge, approximately 0.011 kilowatt hours of energy. They note that this isn’t necessarily a concrete number, as there are variables with AI image generation such as the model used and the image size that can cause the amount of energy necessary to fluctuate. That may not seem like much, but as some estimates put the number of AI images generated per day at around 34 million, it adds up.

Zooming out, GPT-4o’s image-generation model (and the technology behind it, once open source) feels like it further erodes trust in remotely produced media. While we’ve always needed to verify important media through context and trusted sources, these new tools may further expand the “deep doubt” media skepticism that’s become necessary in the age of AI. By opening up photorealistic image manipulation to the masses, more people than ever can create or alter visual media without specialized skills.

Anthropic tightens usage limits for Claude Code — without telling users

For the creative industries, generative AI can mimic various artistic styles, compose original music, and even generate complete pieces of artwork. This application is expanding the horizons of creative expression and is being used by artists, musicians, and other content creators to increase their output​​. To fully understand the relationship between generative AI and AI, it’s necessary to understand each of these technologies at a deeper level, including their characteristics, benefits, challenges, and use cases. The research arrives as Apple faces increasing pressure to demonstrate meaningful progress in artificial intelligence. A recent Bloomberg analysis highlighted how Apple Intelligence and Siri have struggled to compete with rivals.

• Image generation with the use of artificial intelligence has become commonplace online, with plenty of buzz surrounding the matter.
• Interestingly, these titles don’t simply repeat your original prompts but instead describe what’s actually in the image.
• There’s a growing fear that these AI tools could replace or devalue the work of creatives in their respective fields, and several media companies have alleged that these products are trained on their copyrighted works.
• The previous DALL-E model remains available through a dedicated “DALL-E GPT” interface, while API access to GPT-4o image generation is expected within weeks.
• “Crucially, our model remains an end-to-end normalizing flow,” the researchers emphasized, distinguishing their approach from hybrid methods that sacrifice mathematical tractability for improved performance.

To remove an image from your library, you must delete the entire conversation it came from. This AI interpretation adds an extra layer of organization to your collection, making specific images easier to identify at a glance. Let’s explore what this new feature offers, where to find it, and how to make the most of your growing collection of AI-generated imagery. Put your brand in front of 10,000+ tech and VC leaders across all three days of Disrupt 2025.

Even if it’s slow (for now), the ability to generate images using a purely autoregressive approach is arguably a major leap for OpenAI due to its flexibility. But it’s also very compute-intensive, since the model generates the image token by token, building it sequentially. This contrasts with diffusion-based methods like DALL-E 3, which start with random noise and gradually refine an entire image over many iterative steps. The security and privacy concerns raised by the deployment of AI technologies are pervasive. AI systems often need vast amounts of data, including personal and sensitive information, to function effectively.

Generative AI for Everyone by DeepLearning.AI

Whether generative or traditional, ensuring robust data protection measures and maintaining privacy throughout the AI lifecycle are critical. This includes implementing strong encryption and data anonymization techniques and complying with regulations such as GDPR. Transparency about data usage and incorporating user consent are also essential in building trust and safeguarding privacy​.

With the increasing prevalence of AI tech, the scale of the electricity use, and fresh water being in incredibly high demand, several politicians have taken action regarding AI’s environmental impact. United States senators led by Massachusetts’ Edward Markey have brought forth legislation to reveal the full extent of AI’s energy footprint. If the act is passed, the law will be enforced through the National Institute of Standards and Technology, which will set standards for AI models, including reporting, to address environmental concerns over excessive electricity and water use. As of the time of writing, it has yet to be moved through the Senate, let alone reach the House of Representatives or make it to the President’s desk.

ChatGPT has added a new image library — here’s how to use it

Pixel Studio and Magic Editor are helpful tools meant to unlock your creativity with text to image generation and advanced photo editing on Pixel 9 devices. We design our Generative AI tools to respect the intent of user prompts and that means they may create content that may offend when instructed by the user to do so. We have clear policies and Terms of Service on what kinds of content we allow and don’t allow, and build guardrails to prevent abuse. At times, some prompts can challenge these tools’ guardrails and we remain committed to continually enhancing and refining the safeguards we have in place.

Like DALL-E, the model still blocks policy-violating content requests (such as graphic violence, nudity, and sex). Frankly, this model is so slow we didn’t have time to test everything before we needed to get this article out the door. It can do much more than we have shown here—such as adding items to scenes or removing them. The ChatGPT interface with the new 4o image model is conversational (like before with DALL-E 3), but you can suggest changes over time. For example, we took the author’s EGA pixel bio (as we did with Google’s model last week) and attempted to give it a full body.