12-19 AI Model Releases

Google launches Gemini 3 Flash: A speed-optimized AI model that's 3x faster than Gemini 2.5 Pro, with PhD-level reasoning at lower costs ($0.50/1M input tokens). It's now the default for the Gemini app, Search's AI Mode, Vertex AI, and developer tools, enabling high-throughput agentic workflows.

OpenAI debuts GPT-5.2 Thinking and GPT-5.2-Codex: New models focused on advanced reasoning and coding, with Codex optimized for developer tasks. Also, GPT Image-1.5 powers faster image generation with precise edits, better text rendering, and availability to all users.

Kakao open-sources Kanana-2: An advanced LLM optimized for agentic AI, with enhanced performance and efficiency for in-house applications.

Mistral AI releases Devstral 2 and Mistral 3 models: Devstral 2 is a coding-focused model with Vibe CLI for open-source terminal AI development. Mistral 3 includes small dense models (14B, 8B) for advanced reasoning and efficiency.

NVIDIA unveils Nemotron 3 family: Open models including Nemotron 3 Nano 30B-A3B, designed for efficient custom AI agent development with 1M token context windows and hybrid architectures.

Luma AI introduces new video models: Includes a start-to-end frame video generation model and AI video editing that preserves actor performance.

Meta releases SAM Audio: A multimodal sound separation model for advanced audio processing.

Microsoft debuts TRELLIS 2: An image-to-3D model for generating detailed 3D assets.

Alibaba launches Wan2.6 and Qwen Code v0.5.0: Wan2.6 is a multimodal video model; Qwen Code enhances coding capabilities.

Black Forest Labs (bfl_ml) unveils Flux.2 Max: A high-resolution image generation model, integrated into tools like Adobe Photoshop.

Rakuten releases Japan's largest LLM: Aimed at enterprise-scale applications.

New Papers

Recent arXiv uploads (December 19, 2025) highlight advancements in computer vision, AI reasoning, and multimodal processing. Key ones include:

The World is Your Canvas: Painting Promptable Events with Reference Images, Trajectories, and Text by Hanlin Wang et al.: A framework for multimodal event generation in scene synthesis.

Generative Refocusing: Flexible Defocus Control from a Single Image: Enables post-capture depth-of-field adjustments using generative models.

Next-Embedding Prediction Makes Strong Vision Learners: Self-supervised learning via embedding prediction for improved vision representations.

Differences That Matter: Auditing Models for Capability Gap Discovery and Rectification: Framework to identify and fix gaps in AI models for fairness and robustness.

EasyV2V: A High-quality Instruction-based Video Editing Framework by Jinjie Mai et al.: Instruction-driven pipeline for high-quality video manipulation.

DVGT: Driving Visual Geometry Transformer by Sicheng Zuo et al.: Transformer for driving scene perception integrating geometry and vision.

AdaTooler-V: Adaptive Tool-Use for Images and Videos by Chaoyang Wang et al.: Adaptive framework for tool integration in multimodal processing.

Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning: Combines GANs and RL to boost LLM reasoning.

StereoPilot: Learning Unified and Efficient Stereo Conversion via Generative Priors by Guibao Shen et al.: Generative approach for efficient stereo vision and depth estimation.

Constructive Circuit Amplification: Improving Math Reasoning in LLMs via Targeted Sub-Network Updates: Novel training for enhancing mathematical reasoning in LLMs.

From broader sources: MIT-IBM Watson AI Lab's expressive architecture for better LLM state tracking and reasoning over long texts.

Open-Source Projects and Tools

Google releases A2UI: An open-source tool using generative AI to build contextually relevant UIs from prompts. Source: https://github.com/google/a2ui

Microsoft open-sources 3D Telecommunications tech: Facilitates research in immersive communication with external contributions. Source: https://github.com/microsoft/3d-telecom

Apiiro launches AI-SAST: An AI-driven static application security testing tool that automates risk detection and fixes. Source: https://apiiro.com/ai-sast

xAI launches Grok Voice Agent API: Open for developers to integrate voice-based AI agents. Source: https://x.ai/api/grok-voice

Anthropic makes Skills an open standard: Allows modular AI instructions to be shared across agents and platforms. Source: https://anthropic.com/skills-open-standard

Google Research's AI co-scientist: An open platform changing scientific workflows with AI models. Source: https://research.google/ai-co-scientist/

Other Notable Updates and Announcements

OpenAI launches ChatGPT App Directory: Enables app submissions for real-world actions like e-commerce integrations. Source: https://openai.com/chatgpt/app-directory

Adobe partners with Runway for Gen-4.5 video in Firefly: Adds prompt-based video editing and upscaling. Source: https://adobe.com/blog/firefly-runway-partnership

US launches Pax Silica initiative and Genesis Mission: Government efforts in AI infrastructure and development. Source: https://whitehouse.gov/pax-silica

NVIDIA signs MOU with DOE: For advancing AI in energy sectors

Jason Wade

Founder & Lead, NinjaAI

I build growth systems where technology, marketing, and artificial intelligence converge into revenue, not dashboards. My foundation was forged in early search, before SEO became a checklist industry, when scale came from understanding how systems behaved rather than following playbooks. I scaled Modena, Inc. into a national ecommerce operation in that era, learning firsthand that durable growth comes from structure, not tactics. That experience permanently shaped how I think about visibility, leverage, and compounding advantage.

Today, that same systems discipline powers a new layer of discovery: AI Visibility.

Search is no longer where decisions begin. It has become an input into systems that decide on the user’s behalf. Choice now forms inside answer engines, map layers, AI assistants, and machine-generated recommendations long before a website is ever visited. The interface shifted, but more importantly, the decision logic moved upstream. NinjaAI exists to place businesses inside that decision layer, where trust is formed and options are narrowed before the click exists.

At NinjaAI, I design visibility architecture that turns large language models into operating infrastructure. This is not prompt writing, content output, or tools bolted onto traditional marketing. It is the construction of systems that teach algorithms who to trust, when to surface a business, and why it belongs in the answer itself. Sales psychology, machine reasoning, and search intelligence converge into a single acquisition engine that compounds over time and reduces dependency on paid media.

If you want traffic, hire an agency.

If you want ownership of how you are discovered, build with me.

NinjaAI builds the visibility operating system for the post-search economy. We created AI Visibility Architecture so Main Street businesses remain discoverable as discovery fragments across maps, AI chat, answer engines, and machine-driven search environments. While agencies chase keywords and tools chase content, NinjaAI builds the underlying system that makes visibility durable, transferable, and defensible.

This is not SEO.

This is not software.

This is visibility engineered as infrastructure.