Stability AI has released an AI model that generates stereo audio that is quick and lightweight enough for mobile devices. Called Stable Audio Open Small, the open-source model is the result of a collaboration between the AI startup and chipmaker Arm. While there are several AI-powered apps that generate audio — Suno and Udio among them — most rely on cloud processing, thus can’t be used offline. Stability says Stable Audio Open Small is also IP safe due to being trained entirely on audio from the royalty-free libraries Free Music Archive and Freesound. Continue reading Stability AI Releases a Fast Stereo Audio-Generator for Mobile

Lightricks, the company behind the Facetune and Videoleap apps, has released a new video model called LTX Video, or LTXV, that generates what the company describes as high-quality AI video at speeds up to 30 times faster than competing products, and does it using consumer-grade hardware. The open-source, 13-billion parameter model achieves such efficiency by utilizing an approach called multiscale rendering, which generates video in progressively detailed layers. The program can run on high-end laptops and standard desktop computers, opening up generative video to an audience beyond those who have access to enterprise equipment. Continue reading Lightricks LTXV Makes Video Generation Faster and Cheaper

Online graphic design platform Freepik, has unveiled F Lite, a text-to-image generator that the company says was trained only on licensed content, making it safe for commercial use. The 10 billion-parameter F Lite — currently available in two openly-licensed versions — was developed in partnership with Fal.ai, a San Francisco-based AI startup that uses a proprietary inference engine and APIs to enable fast training, inference, and scaling of image, video, audio, and multimodal AI models. Freepik Head of AI Iván de Prado describes F Lite as “a significant milestone in open, responsible AI.” Continue reading Freepik Introduces a Responsibly Trained AI Image Generator

China’s Alibaba Group has released a Qwen3 LLM series said to be at the leading edge of open-source models, nearly achieving the performance of proprietary models from AI competitors OpenAI and Google. Alibaba says Qwen3 offers improvements in reasoning, tool use, instruction following and multilingual abilities. The Qwen3 series features eight new models — two that are mixture-of-experts and six built on dense neural networks. Their sizes range from 600 million to 235 billion parameters. The size and scope of the Alibaba slate maintains China’s accelerated AI pace in the wake of DeepSeek’s game-changing debut. Continue reading Alibaba Touts Advance in Open-Source AI with Qwen3 Series

Character.AI, a platform offering AI chatbots for socializing and role play, has released a video generation model called AvatarFX in closed beta. Promising the ability to make photorealistic images “come to life — speak, sing and emote — all with the click of a button,” the technology combines audio and video to create a variety of visual style and voice, from realistic 3D — including “non-human faces (like a favorite pet)” — to 2D animations, according to the company. AvatarFX also has the ability “to maintain strong temporal consistency with face, hand and body movement” and can “power videos with multiple speakers.” Continue reading Character.AI Introduces New Video Generator in Closed Beta

A new open-source code reasoning model called DeepCoder-14B-Preview has hit the market. Built atop DeepSeek-R1 and Qwen2.5 using reinforcement learning (RL), it aims to provide more flexibility by combining high-performance code generation with reasoning capabilities for real-world applications. Its performance is said to be comparable to OpenAI’s o3-mini, “but with a smaller footprint,” say its developers, the research-driven AI companies Together AI and Agentica. “We democratize the recipe for training a small model into a strong competitive coder,” explains Together AI. Continue reading Researchers Debut Preview of DeepCoder Reasoning Model

Alibaba is making AI news again, releasing another Qwen reasoning model, QwQ-32B, which was trained and scaled using reinforcement learning (RL). The Qwen team says it “has the potential to enhance model performance beyond conventional pretraining and post-training methods.” QwQ-32B, a 32 billion parameter model, “achieves performance comparable to DeepSeek-R1, which boasts 671 billion parameters (with 37 billion activated),” Alibaba claims. While parameters refer to the total set of adjustable weights and biases in the model’s neural network, “activated” parameters are a subset used for a specific inference task, like generating a response. Continue reading Alibaba Says Qwen Reasoning Model on Par with DeepSeek

Alibaba has open-sourced its Wan 2.1 video- and image-generating AI models, heating up an already competitive space. The Wan 2.1 family, which has four models, is said to produce “highly realistic” images and videos from text and images. The company has since December been previewing a new reasoning model, QwQ-Max, indicating it will be open-sourced when fully released. The move comes after another Chinese AI company, DeepSeek, released its R1 reasoning model for free download and use, triggering demand for more open-source artificial intelligence. Continue reading Highly Realistic Alibaba GenVid Models Are Available for Free

Barely two weeks after the launch of its OmniHuman-1 AI model, ByteDance has released Goku, a new artificial intelligence designed to create photorealistic video featuring humanoid actors. Goku uses text prompts to create among other things, realistic product videos without the need for human actors. This last is a boon for ByteDance social media unit TikTok. Goku is open source, trained on a large dataset of roughly 36 million video-text pairs and 160 million image-text pairs. Goku’s debut is received as more bad news for OpenAI in the form of added competition, but a positive step for global enterprise. Continue reading ByteDance’s Goku Video Model Is Latest in Chinese AI Streak

Model training continues to hit new lows in terms of cost, a phenomenon known as the commoditization of AI that has rocked Wall Street. An AI reasoning model created for under $50 in cloud compute credits is reportedly performing comparably to established reasoning models such as OpenAI o1 and DeepSeek-R1 on tests of math and coding aptitude. Called s1-32B, it was created by researchers at Stanford and the University of Washington by customizing Alibaba’s Qwen2.5-32B-Instruct, feeding it 1,000 prompts with responses sourced from Google’s new Gemini 2.0 Flash Thinking Experimental reasoning model. Continue reading Reasoning Model Competes with Advanced AI at a Lower Cost

Jack Dorsey’s financial tech and media firm Block (formerly Square) has released a platform for building AI agents: Codename Goose. Previously available in beta, Goose is primarily designed to build agents for coding and software development, but Block built in many basic features that could be applied to general purpose pursuits. Because it is open source and offered under Apache License 2.0, the hope is that developers will apply it to varied use cases. A leading feature of Codename Goose is its flexibility. It can integrate a wide range of large language models, letting developers use it with their preferred model. Continue reading Codename Goose: Block Unveils Open-Source AI Agent Builder

Meta Platforms has packed more artificial intelligence into a smaller package with Llama 3.3, which the company released last week. The open-source large language model (LLM) “improves core performance at a significantly lower cost, making it even more accessible to the entire open-source community,” Meta VP of Generative AI Ahmad Al-Dahle wrote on X social. The 70 billion parameter text-only Llama 3.3 is said to perform on par with the 405 billion parameter model that was part of Meta’s Llama 3.1 release in July, with less computing power required, significantly lowering its operational costs. Continue reading Meta’s Llama 3.3 Delivers More Processing for Less Compute

Lightricks has released an AI model called LTX Video (LTXV) it says generates five seconds of 768 x 512 resolution video (121 frames) in just four seconds, outputting in less time than it takes to watch. The model can run on consumer-grade hardware and is open source, positioning Lightricks as a mass market challenger to firms like Adobe, OpenAI, Google and their proprietary systems. “It’s time for an open-sourced video model that the global academic and developer community can build on and help shape the future of AI video,” Lightricks co-founder and CEO Zeev Farbman said. Continue reading Lightricks LTX Video Model Impresses with Speed and Motion

Anthropic is releasing what it hopes will be a new standard in data integration for AI. Called the Model Context Protocol (MCP), its goal is to eliminate the need to customize each integration by having code written each time a company’s data is connected to a model. The open-source MCP tool could become a universal way to link data sources to AI. The aim is to have models querying databases directly. MCP is “a new standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments,” according to Anthropic. Continue reading Anthropic Protocol Intends to Standardize AI Data Integration

The GitHub Secure Open Source Fund will award financing to select applicants in a program designed to fuel security and sustainability for open-source projects. Applications are open now and close on January 7. During that time, 125 projects will be selected for a piece of the $1.25 million investment fund, made possible through the participation of American Express, the Alfred P. Sloan Foundation, Chainguard, HeroDevs, Kraken, Mayfield Fund, Microsoft, Shopify, Stripe and others. In addition to monetary support, recipients will be invited to take part in a three-week educational program. Continue reading GitHub Promotes Open-Source Security with Funding Initiative