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OpenAI has announced the official integration of GPT-4o's image generation capabilities into the GPTs (custom GPT) platform, providing developers and creators with powerful tools to build personalized image generation robots. According to AIbase, this update allows users to create custom image generation applications through GPTs, such as poster design robots or generators for specific artistic styles, significantly enhancing creative flexibility and sharing. The enthusiastic discussions on social media highlight its widespread impact; the feature is already available to ChatGPT Plus and P users.

Step1X-Edit is a groundbreaking open-source image editing model that achieves performance comparable to leading closed-source models such as GPT-4o. It offers a powerful and versatile solution for various image manipulation tasks.

OpenAI has officially launched the gpt-image-1 API, marking the opening of its highly anticipated 4o image generation capabilities to developers. According to AIbase, this API is lauded by the community as the world's strongest 'image generation' tool due to its high-fidelity image generation, diverse visual styles, and powerful integration of world knowledge. The release announcement has generated significant excitement among AI developers and the creative community, with relevant documentation now publicly available via the OpenAI website and Playground platform. Core features: High-fidelity and diverse style generation

OpenAI recently announced that its latest 4o model's image generation capabilities will now support custom GPTs, offering users a more flexible and personalized AI creation experience. According to AIbase, this update allows developers and users to build customized GPTs based on the 4o model, generating high-quality image content tailored to specific needs. The announcement has sparked widespread discussion within the AI community, marking another significant advancement by OpenAI in the field of personalized AI tools. Technical details are available on the official OpenAI platform.

Los modelos de lenguaje visual de código abierto Kimi-VL y Kimi-VL-Thinking han superado a GPT-4o en varias pruebas de referencia. Estos modelos representan un avance significativo en el campo de la inteligencia artificial, combinando la capacidad de procesamiento del lenguaje natural con la comprensión de imágenes.

OpenAI is actively testing a new feature to add watermarks to its GPT-4o image generation model. Recently, ChatGPT has garnered significant attention for its powerful image generation capabilities. The model not only accurately generates images with text but also creates highly realistic visual works, even mimicking the artistic styles of renowned animation studios like Studio Ghibli. Image attribution: Image generated by AI, image licensing provider Midjourney. Initially, this feature is reportedly only available to ChatGPT Plus subscribers.

OpenAI's recently released image generation model, 4o, demonstrates impressive capabilities in generating text within images, particularly in creating fake documents, making it a popular tool for some users. Concerns are rising over the proliferation of fake receipts, prescriptions, and forged passports. On social media, Menlo Ventures investor Deedy Das posted a picture of a fake receipt showing a lavish meal at a well-known San Francisco steakhouse. Das tweeted: 'You can use'

Recently, the field of artificial intelligence has been abuzz with discussion surrounding OpenAI's GPT-4o image generation model. Its exceptional performance has propelled it to the forefront in industry benchmark evaluations. According to recent social media discussions, GPT-4o's ELO score for image generation quality places it in first place alongside emerging model Reve, surpassing strong competitors such as Recraft V3, FLUX1.1[pro], and Google's Gemini2.0Flash. This achievement solidifies OpenAI's position in the generative AI field.

ChatGPT's newly released 4.0 model's image generation capabilities are raising security concerns, particularly its advancements in generating realistic text, which could provide fraudsters with new tools. Multiple users on social media have already demonstrated creating fake restaurant receipts using this feature, receipts that appear convincingly authentic. Venture capitalist Deedy Das showcased on X a fake San Francisco steakhouse receipt generated using 4.0, highlighting: "Too many real-world verification processes rely on real images as proof. That era is over." Others have...

Data intelligence company Databricks recently unveiled a novel large language model fine-tuning method – TAO (Test-time Adaptive Optimization). This technology offers new hope for the advancement of open-source models. By leveraging unlabeled data and reinforcement learning, TAO excels in reducing enterprise costs while achieving remarkable results across various benchmark tests. According to tech news outlet NeoWin, TAO...

Ideogram has officially announced its latest image generation model—Ideogram 3.0. This version represents a significant breakthrough in realism, creative expression, and style consistency, and is considered a major milestone in the image generation field. The new model not only rivals top AI systems like GPT-4o but also attracts widespread attention due to its efficient performance and innovative features. Ideogram 3.0 has achieved a qualitative leap in text rendering capabilities. Compared to most image generation models on the market, this version can...

On March 25, 2025, OpenAI announced that its latest image generation model is now integrated into GPT-4o. This groundbreaking upgrade provides users with a more powerful image generation and editing experience. The feature is being rolled out to all ChatGPT and Sora Plus, Pro, Team, and free users starting today. This news has quickly garnered widespread attention in the tech world.

A recent study shows that individuals using artificial intelligence (AI) can rival traditional two-person teams in work performance. The study involved 776 Procter & Gamble experts who participated in a one-day workshop developing product ideas for multiple business units. Participants were divided into two groups: teams consisting of one business expert and one technical expert, and individuals working alone. Half of the teams and individuals had access to GPT-4 and GPT-4o. Image caption: