2025-09-02
Today we explore how vision models mirror biological brains, how diffusion LMs internalize answers before decoding, and how agent frameworks structure multi-stage reasoning. Plus, Google’s “Nano Banana” — the Gemini 2.5 Flash Image upgrade — shows how interfaces are becoming cognitive tools themselves, enabling prompt-based image editing with uncanny consistency between characters and objects .
Top picks from aigc.news:
🧠 Convergent Brains – Vision models mirror biological features of primate visual cortex
💭 DLMs Think First – Diffusion LMs internalize answers before decoding
🍌 Nano Banana Best Practices – Prompting insights for Gemini’s multi-step, consistency-focused image editor
Explore more papers, tools, and signals — updated daily at aigc.news
📚 AIGC PAPERS
AIGC Papers
Today’s AIGC Papers
From convergent patterns between brains and vision models, to how Diffusion LMs “think” before decoding, and a new blueprint for multi-phase agent reasoning — today’s picks dig deep into AI cognition and control.
Convergent Brains – Vision models mirror biological features
DLMs Think First – Diffusion LMs internalize answers before decoding
rStar2-Agent – A blueprint for multi-phase agentic reasoning
Explore the code, read the insights.

🛠️AIGC Projects
AIGC Projects
Today’s AIGC Projects
From translation-grade bilingual LLMs to LLM-based game agents and quantized image editing tools — today’s projects open new doors for building faster and smarter.
Hunyuan-MT-7B – Tencent's open-sourced bilingual LLM for translation tasks
HunyuanWorld-Voyager – A multi-agent, LLM-based game exploration benchmark
Qwen-Image-Edit-GGUF – Quantized version of Qwen’s image editing model
Build faster with open tools.
tencent/Hunyuan-MT-7B( link )

HunyuanWorld-Voyager (link )

QuantStack/Qwen-Image-Edit-GGUF( link )
🗞️ AIGC News
AIGC News
Today’s AIGC News
From Google's official tips for image generation to the architectural secrets behind vLLM’s blazing speed — today’s updates are must-reads for prompt engineers and infra devs alike.
Gemini 2.5 Flash – Best practices for fast image generation prompting
Inside vLLM – Dissecting the architecture behind lightning-fast LLM inference
Stay sharp with the latest breakthroughs.
⭐️⭐️⭐️⭐️ How to prompt Gemini 2.5 Flash Image Generation for the best results ( link )

Inside vLLM: Anatomy of a High-Throughput LLM Inference System ( link )

Always fresh, always live
Real-time AIGC tracker
New papers and projects updated by the minute — stay ahead of the AI curve.
That’s it for today.
Keep showing up, keep cheering each other on — and as always, run happy! 🏃♂️💛
The aigc.news Team