Sometimes reality outpaces expectations in the most unexpected ways.
While global AI development seems increasingly fragmented, Sber just released Europe's largest open-source AI collection—full weights, code, and commercial rights included.
✅ No API paywalls.
✅ No usage restrictions.
✅ Just four complete model families ready to run in your private infrastructure, fine-tuned on your data, serving your specific needs.
What makes this release remarkable isn't merely the technical prowess, but the quiet confidence behind sharing it openly when others are building walls. Find out more in the article from the developers.
GigaChat Ultra Preview: 702B-parameter MoE model (36B active per token) with 128K context window. Trained from scratch, it outperforms DeepSeek V3.1 on specialized benchmarks while maintaining faster inference than previous flagships. Enterprise-ready with offline fine-tuning for secure environments.
GitHub | HuggingFace | GitVerse
GigaChat Lightning offers the opposite balance: compact yet powerful MoE architecture running on your laptop. It competes with Qwen3-4B in quality, matches the speed of Qwen3-1.7B, yet is significantly smarter and larger in parameter count.
Lightning holds its own against the best open-source models in its class, outperforms comparable models on different tasks, and delivers ultra-fast inference—making it ideal for scenarios where Ultra would be overkill and speed is critical. Plus, it features stable expert routing and a welcome bonus: 256K context support.
GitHub | Hugging Face | GitVerse
Kandinsky 5.0 brings a significant step forward in open generative models. The flagship Video Pro matches Veo 3 in visual quality and outperforms Wan 2.2-A14B, while Video Lite and Image Lite offer fast, lightweight alternatives for real-time use cases. The suite is powered by K-VAE 1.0, a high-efficiency open-source visual encoder that enables strong compression and serves as a solid base for training generative models. This stack balances performance, scalability, and practicality—whether you're building video pipelines or experimenting with multimodal generation.
GitHub | GitVerse | Hugging Face | Technical report
Audio gets its upgrade too: GigaAM-v3 delivers speech recognition model with 50% lower WER than Whisper-large-v3, trained on 700k hours of audio with punctuation/normalization for spontaneous speech.
GitHub | HuggingFace | GitVerse
Every model can be deployed on-premises, fine-tuned on your data, and used commercially. It's not just about catching up – it's about building sovereign AI infrastructure that belongs to everyone who needs it.
While global AI development seems increasingly fragmented, Sber just released Europe's largest open-source AI collection—full weights, code, and commercial rights included.
✅ No API paywalls.
✅ No usage restrictions.
✅ Just four complete model families ready to run in your private infrastructure, fine-tuned on your data, serving your specific needs.
What makes this release remarkable isn't merely the technical prowess, but the quiet confidence behind sharing it openly when others are building walls. Find out more in the article from the developers.
GigaChat Ultra Preview: 702B-parameter MoE model (36B active per token) with 128K context window. Trained from scratch, it outperforms DeepSeek V3.1 on specialized benchmarks while maintaining faster inference than previous flagships. Enterprise-ready with offline fine-tuning for secure environments.
GitHub | HuggingFace | GitVerse
GigaChat Lightning offers the opposite balance: compact yet powerful MoE architecture running on your laptop. It competes with Qwen3-4B in quality, matches the speed of Qwen3-1.7B, yet is significantly smarter and larger in parameter count.
Lightning holds its own against the best open-source models in its class, outperforms comparable models on different tasks, and delivers ultra-fast inference—making it ideal for scenarios where Ultra would be overkill and speed is critical. Plus, it features stable expert routing and a welcome bonus: 256K context support.
GitHub | Hugging Face | GitVerse
Kandinsky 5.0 brings a significant step forward in open generative models. The flagship Video Pro matches Veo 3 in visual quality and outperforms Wan 2.2-A14B, while Video Lite and Image Lite offer fast, lightweight alternatives for real-time use cases. The suite is powered by K-VAE 1.0, a high-efficiency open-source visual encoder that enables strong compression and serves as a solid base for training generative models. This stack balances performance, scalability, and practicality—whether you're building video pipelines or experimenting with multimodal generation.
GitHub | GitVerse | Hugging Face | Technical report
Audio gets its upgrade too: GigaAM-v3 delivers speech recognition model with 50% lower WER than Whisper-large-v3, trained on 700k hours of audio with punctuation/normalization for spontaneous speech.
GitHub | HuggingFace | GitVerse
Every model can be deployed on-premises, fine-tuned on your data, and used commercially. It's not just about catching up – it's about building sovereign AI infrastructure that belongs to everyone who needs it.
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Discover the most advanced AI for image editing and generation, powered by Google’s latest reasoning model Gemini 3 Pro. Nano Banana Pro doesn’t just create pixels — it understands context, delivering ultra-realistic 4K results with unmatched precision.
What Nano Banana Pro can do:
💡 Explore Nano Banana Pro prompt collections:1️⃣ https://github.com/ZeroLu/awesome-nanobanana-pro2️⃣ https://github.com/YouMind-OpenLab/awesome-nano-banana-pro-prompts
Free Access
You can try Nano Banana Pro in the Gemini App or Google AI Studio, but free limits may be as low as 2 images/day, and all results include a watermark.
While Google’s official API pricing for developers is $0.24 per 4K image, in @PhotoFixerBot you can use Nano Banana Pro 2× cheaper, with full 4K quality and no watermarks.
👉 Start Creating Now: @PhotoFixerBot
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☝🏻 ByteDance releases Seedream 4.5
ByteDance has launched Seedream 4.5, a major update to their image generation and editing model. It immediately took the #2 spot on both the Artificial Analysis and LMarena leaderboards — ranking just behind Nano Banana Pro.
Highlights:
🔴 Improved Consistency: Better adherence to reference images during editing.
🔴 Text Rendering: Significantly improved typography and text generation.
🔴 Lower cost compared to Nano Banana Pro.
🔴 Much less strict censorship/safety filters.
👉 Available now in @PhotoFixerBot
📸 NeuralZone
ByteDance has launched Seedream 4.5, a major update to their image generation and editing model. It immediately took the #2 spot on both the Artificial Analysis and LMarena leaderboards — ranking just behind Nano Banana Pro.
Highlights:
👉 Available now in @PhotoFixerBot
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☝🏻 OpenAI releases GPT-5.2 — the company’s most powerful model yet
OpenAI has officially launched GPT-5.2, available in three versions:
🔴 Instant — fast replies
🔴 Thinking — advanced reasoning, coding, analysis
🔴 Pro — maximum accuracy for the hardest tasks
The model now supports 400K input tokens and delivers major improvements in coding, image understanding, spreadsheets, long-context reasoning, and overall reliability. Benchmarks show strong gains across GPQA, SWE-Bench, AIME 2025, and ARC-AGI.
📊 GPT-5.2 Thinking matches or outperforms top human experts in 70%+ of real professional tasks and is first model to hit 100% on AIME 2025 math benchmark.
📱 Plus: Adobe Photoshop, Express, and Acrobat are now built directly into ChatGPT — free for all users. You can blur backgrounds, adjust lighting, create designs, and edit PDFs with simple text prompts. To enable this, go to ChatGPT Settings and connect the Adobe apps.
🇮🇳 Indian users can now get ChatGPT Go for free for one year. If you’re not in India, you can try using an Indian VPN and a new account to access the offer.
🔗 Chatgpt.com | OpenAI Announcement | Adobe Details | What is ChatGPT Go?
📸 NeuralZone
OpenAI has officially launched GPT-5.2, available in three versions:
The model now supports 400K input tokens and delivers major improvements in coding, image understanding, spreadsheets, long-context reasoning, and overall reliability. Benchmarks show strong gains across GPQA, SWE-Bench, AIME 2025, and ARC-AGI.
📊 GPT-5.2 Thinking matches or outperforms top human experts in 70%+ of real professional tasks and is first model to hit 100% on AIME 2025 math benchmark.
🇮🇳 Indian users can now get ChatGPT Go for free for one year. If you’re not in India, you can try using an Indian VPN and a new account to access the offer.
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☝🏻 OpenAI tests new image models: Image-2 & Image-2-mini
Two new OpenAI image models, currently codenamed Chestnut and Hazelnut, have appeared on LM Arena and Design Arena. After release, they are expected to be called Image-2 and Image-2-mini.
Early testers report major improvements:
🔴 Sharper details
🔴 Much better colors (goodbye yellow tint)
🔴 Stronger real-world understanding
🔴 Realistic celebrity faces
🔴 Improved text rendering
📊 In testing, the models are already approaching Google Nano Banana Pro, especially in detail and color accuracy.
A public release is expected soon.
📸 NeuralZone
Two new OpenAI image models, currently codenamed Chestnut and Hazelnut, have appeared on LM Arena and Design Arena. After release, they are expected to be called Image-2 and Image-2-mini.
Early testers report major improvements:
📊 In testing, the models are already approaching Google Nano Banana Pro, especially in detail and color accuracy.
A public release is expected soon.
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Apple finally made on-device AI useful
Built a virtual pet that runs 100% on Apple Intelligence.
No cloud. No API calls. No data leaving your phone.
The FoundationModels framework generates:
→ Unique personality responses every time
→ Interactive story adventures
→ Quiz games with dynamic questions
→ Emotional reactions based on care history
Tested it for 2 weeks. The AI remembers context, adapts tone,
and never repeats the same joke twice.
This is what local LLMs should feel like.
🔗 RoboGochi on App Store
⚠️ Requires iPhone 15 Pro+ or M-chip iPad
(Apple Intelligence hardware limitation)
Built a virtual pet that runs 100% on Apple Intelligence.
No cloud. No API calls. No data leaving your phone.
The FoundationModels framework generates:
→ Unique personality responses every time
→ Interactive story adventures
→ Quiz games with dynamic questions
→ Emotional reactions based on care history
Tested it for 2 weeks. The AI remembers context, adapts tone,
and never repeats the same joke twice.
This is what local LLMs should feel like.
🔗 RoboGochi on App Store
⚠️ Requires iPhone 15 Pro+ or M-chip iPad
(Apple Intelligence hardware limitation)
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Youmind.com/nano-banana-pro-prompts is a constantly growing collection of 4,000+ prompts for Nano Banana Pro, curated mainly from X (Twitter).
Each prompt sourced from X includes a direct link to the original author, so you can follow creators you like and discover even more high-quality prompts from them
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