51.1K
10OpenAI's new Image model just got leaked 🫢
@100xengineers
#Gptimage2
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146
KOOpenAI hid their next model behind 3 rolls of tape.
The internet unwrapped it anyway. 🧵
━━━━━━━━━━━━━━━
GPT-Image-2 just leaked on LMArena — no announcement, no press release. Just three anonymous models named after tape. And they're cooking.
Text inside images? Perfect.
Watch times? Correct.
Nano Banana Pro in blind tests? Cooked.
They shut down Sora two weeks ago. Freed up billions in compute. Now we know exactly where it went.
The AI image wars just flipped. 🧠
Save this before it gets buried. Follow for daily AI drops you won't see anywhere else.
👇 Are you team OpenAI or team Google on image gen? Comment below.
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#AI #OpenAI #GPTImage2 #AIVideo #GenerativeAI #AINews #ArtificialIntelligence #AITools #TechNews #OpenAILeak #AIArt #TextToImage #ChatGPT #FutureOfAI #MachineLearning #AICommunity #Viral #BreakingTech #Reels #AIReels
@koshurai.official
13.7K
AR⬇️ Comment “IMAGE” to try it yourself
OpenAI’s new image model just got leaked before any official announcement — and the outputs are genuinely insane.
It was hiding on Arena under fake codenames until someone figured out it was OpenAI. The images are so realistic you can’t tell they’re AI.
And you can test it right now.
#ai #genai #tech #gptimage2 #openai
@artem.novitckii
82
CASo OpenAI just had their own leak.
Maybe it was intentional to try to grab some press alongside the Claude leak. They just released what might potentially be GPT Image 2.
1.5 was released back in December, and apparently three different versions—codenamed maskingtape-alpha, packingtape-alpha, and gaffertape-alpha—started showing up in the ChatGPT arena, so a few users reportedly got to play with them.
Here's a few examples of images that users generated allegedly with these models, and they said that these versions are dramatically better in terms of their text generation capabilities, their use of light and shadow. It just looks dramatically different.
Now we know that OpenAI has sort of been lacking, especially alongside Midjourney. So my guess is they're basically making a financial play where they killed Sora because that's very expensive, and they're going to use all those GPUs instead to try to refine their image generation model and go head to head with Midjourney.
Update: The versions have already been removed from the arena.
We'll see what happens.
#OpenAI #GPTImage2 #AIArt #ArtificialIntelligence #MachineLearning #AITools #ChatGPT #GenerativeAI #AIImageGeneration #TechNews #AINews #Midjourney #TextToImage #AIModels #DeepLearning #ComputerVision #DigitalArt #AIUpdates #TechUpdate #Innovation #AIResearch #NeuralNetworks #AIGeneration #CreativeAI #AITechnology #TechTrends
@cameronembers
0
PAOpenAI's new Image model just got leaked 🫢
@parag88404
9.5K
AIHow to turn low-quality images into high-resolution photos with AI and save money.
Most people are using AI tools like Gemini and ChatGPT completely wrong. One good prompt can completely upgrade an image without changing the original photo.
If you want to learn how to prompt the right way and get the most out of AI tools like this, comment workshop and I’ll send you the link to my free AI Implementation Workshop.
#ai #chatgpt #openai #gemini #google
@aiwithrone
1.9K
LE🧠 ChatGPT new Image generation model was asked to recreate the same image 200 times without changing anything
The prompt was simple and strict: create the exact replica of this image, do not change a thing. It was repeated again and again to test how consistently an AI can follow instructions without drifting over time.
What happened next reveals something important about generative models. Even with identical prompts, small variations start to appear. Tiny changes in details, proportions, or textures slowly creep in, showing how AI interprets rather than truly copies.
This experiment highlights the limits of precision in generative AI and why human oversight still matters, especially in design, media, and verification tasks. Perfection through repetition is harder than it sounds.
Do you think AI will ever reach true one to one replication, or will variation always exist? 🤔
Follow for more insights like this.
#stics
@learnfast.ai
153
GE🚀 OpenAI image generation stack with GPT Image 1.5. It is fast, flexible, and clearly aimed at becoming a full creative studio inside ChatGPT and APIs.
After testing it side by side with NanoBanana Pro (as always using my character SKY 😄 ) the difference became pretty clear. GPT can most of the times produce really beautiful, cinematic shots you cannot ignore, especially when you lean into mood and drama. But NanoBanana shines in high-quality realism, with cleaner results, smoother prompt flow, and far less effort needed to get what you actually asked for.
🍌 NanoBanana also feels stronger for 2D cartoon styles, possibly thanks to its higher resolution and sharper line handling. For this video, I used the exact same prompts in GPT Image and NanoBanana. You can see the comparison at the end and judge for yourself 👀
Next I'll do a test video only with GPT results which will for sure need upscaling, but good to try its cinematic power!
😎 Follow for more!
Videos made in @openart_ai AI & @higgsfield.creators AI
@genstudioz
1.4K
PAOpenAI called their own model “cringe” three months after marketing it as “warm.” Make it make sense.
@paytonbilodeau
450
THImagine having a single dashboard where you can access the world's most powerful AI models without a subscription fee.
This video showcases a revolutionary platform that gives you unlimited access to premium image and video generation.
Key Features:
Top-Tier Models: Choose from heavy hitters like Claude Opus 4.6, Grok 4, GPT 5.4, and the stunning Nano Banana 2.
Lightning Fast: Go from a text prompt to a high-fidelity visual in under 60 seconds.
Full Customization: Edit, extend, and download your creations directly from the unified dashboard.
Diverse Styles: Whether you need cinematic portraits, photorealistic action shots, or even "Lego-style" animations, this tool handles it all with ease.
Special shout-out to the original creator @aitrigger for uncovering this incredible resource!
Ready to start creating?
Comment "AI" below to get the exclusive link sent directly to your inbox! 📥
#AI #GenerativeAI #FreeAI #TechTrends #ContentCreation AIArt
@theneuralfeed1
16.7K
EXChatGPT was asked 69 times to recreate the exact same image… with no changes.
Same prompt.
Same instructions.
Every single time.
But something interesting happened.
Each generation looked slightly different — tiny shifts in colors, shapes, and details slowly crept in. Over multiple attempts, those small differences stacked up until the image began drifting away from the original.
That’s because generative AI doesn’t copy pixels.
It interprets patterns and recreates them, which means perfect replication is surprisingly difficult.
Credit: Stop Motion Factory
👇 Do you think AI will ever achieve true 1:1 image replication?
🔔 Follow @executing.ai for daily insights on AI experiments and the future of generative technology.
#aimemes #ainews #generativeai #aiexperiments #futureofai
ai image recreation experiment, chatgpt image generation test, generative ai pattern learning, ai model variation explained, future of ai image models
@executing.ai
112
OZOpenAI has officially launched GPT-5.4 mini and GPT-5.4 nano, two lightweight models engineered to power high-volume agentic workloads with unprecedented speed and cost-efficiency. The GPT-5.4 mini model runs more than twice as fast as its predecessor while rivaling the reasoning and coding capabilities of the flagship GPT-5.4 "Thinking" model, all while supporting a massive 400,000-token context window. Developers can now access the mini model at a competitive $0.75 per million input tokens and $4.50 per million output tokens, while the nano version remains an API exclusive for simple classification and data extraction tasks. For everyday users, the mini model is being integrated directly into ChatGPT for Free and Go tiers, serving as a critical rate-limit fallback for professional subscribers. Crucially, these models support multimodal inputs, enabling real-time reasoning over images and screenshots which is essential for the next generation of computer-using autonomous agents. This strategic release intensifies competition with Google’s Flash and Anthropic’s Haiku models, signaling a shift in the AI arms race toward optimizing the efficiency-to-power ratio for enterprise deployment. By narrowing the performance gap between small and large models, OpenAI is paving the way for a surge in responsive AI-powered developer tools and the widespread adoption of autonomous agents across global workflows.
Source: OpenAI
@ozor.news
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