Model Releases
-Mistral 3 Launch: Mistral AI released Mistral 3, a new flagship model emphasizing efficiency and multimodal capabilities, positioning it as a competitor in enterprise applications.
-Runway Gen 4.5: Runway unveiled Gen 4.5, an advanced video generation model that reportedly outperforms OpenAI's Sora in realism and control, with enhanced aesthetic features for creators.
-DeepSeek-V3.2: DeepSeek released V3.2, an open-source model scoring 96% on AIME 2025 benchmarks, matching closed models like GPT-5 while costing just $0.028 per million tokens.
-Tencent Hunyuan 2.0: Tencent launched Hunyuan 2.0, a 406B parameter Mixture of Experts (MoE) model focused on advanced reasoning and multimodal tasks.
-Alibaba Qwen3-TTS: Alibaba introduced Qwen3-TTS, a text-to-speech model supporting 49 voices, 10 languages, and 8 Chinese dialects, with real-time and offline APIs.
- **Microsoft VibeVoice-Realtime-0.5B**: Microsoft dropped this compact real-time voice response model, enabling efficient handling of calls and assistants on edge devices.
-Essential AI Rnj-1: Essential AI released Rnj-1, an 8B open-source model (base and instruct versions) aimed at equitable AI distribution, competing with global leaders.
-xAI Grok-2: xAI announced Grok-2, enhancing physical world understanding for robotics and autonomous systems.
-Kling 2.6: This video model update includes native in-sync audio, improving long-form content generation.
-ByteDance Doubao-Seed-ASR-2.0: A speech recognition model that uses visual context to resolve homophones.
-Google Gemini 3 Pro Benchmark: Google released benchmarks for Gemini 3 Pro, showcasing state-of-the-art multimodal capabilities like document derendering and high-FPS video analysis.
New Papers
-NeurIPS 2025 Top Paper: "Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)" explores how LLMs are converging into a unified "hivemind," raising concerns about diversity in AI outputs.
-Recent arXiv Submissions: Over 260 new AI papers were posted on December 5, covering topics like multimodal learning and agent systems; no major spikes noted for December 6-7 yet, but ongoing uploads include advancements in machine learning and neural evolution.
Open-Source Projects & Update
-FLUX.2 [dev]: An open imaging model release pushing frontiers in math/code pretraining with permissive datasets like MixtureVitae.
-vLLM 0.12.0: Updates include support for DeepSeek-V3.2 reasoning, GPU Model Runner V2, and optimizations for long-context prefill, making large models more efficient.
-UE5.6 AI Motion Capture Plugin: A ~1B parameter open plugin for 3D skeletal reconstruction from videos, enabling rigged animations from sources like kung fu clips.
-Google Titans + MIRAS: A new architecture for long-term AI memory, achieving 70% accuracy on 10M+ token contexts by selectively storing "surprising" data in real-time.
Other Notable Announcements
-OpenAI "Code Red": OpenAI escalated internal efforts to fast-track GPT-5.2 amid competition from Google's Gemini 3.
-AWS Kiro Agent: A self-directed coding agent for writing, reviewing, and deploying code autonomously.
-Acquisitions & Investments: OpenAI acquired Neptune.ai for better training infrastructure; Anthropic invested $200M in Snowflake for enterprise integrations.
-Poetiq ARC-AGI-2 Breakthrough: Achieved 54% accuracy, breaking 50% for the first time at ~$30 per problem.
Jason Wade
Founder & Lead at NinjaAI
I’ve spent two decades engineering growth at the intersection of technology, marketing, and artificial intelligence, turning complex systems into measurable revenue instead of busywork metrics. My foundation was forged in early SEO, where I scaled Modena, Inc. into a national ecommerce operation before “search” was a department and not yet a discipline. Today, that same technical rigor powers a new category: AI Visibility, the practice of placing brands inside the answer layer where decisions are now made.
At NinjaAI, I design prompt architectures and visibility systems that convert large language models into operating infrastructure for real businesses. My work blends sales psychology, machine reasoning, and search intelligence into a single acquisition system that replaces ad dependency with owned inbound. The outcome is not better marketing. It’s leverage, velocity, and authority that compounds.
If you want traffic, hire an agency.
If you want ownership, build with me.
