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

Sesame, an AI startup from Oculus co-founder Brendan Iribe, has created a conversational voice model that many feel has achieved uncanny levels of authenticity. Drawing comparisons to the charismatic vocal centerpiece of the 2013 Warner Bros. film “Her,” Sesame seems to have achieved a new level of engagement among AI voice assistants. While some are describing the tech as “amazing.” others have expressed concern over its capabilities. “Our goal is to achieve ‘voice presence’ — the magical quality that makes spoken interactions feel real, understood and valued,” explains a blog post by Iribe and others. Continue reading AI Startup Sesame Develops Next Stage of Voice Generation

Alibaba Cloud has released the latest entry in its growing Qwen family of large language models. The new Qwen with Questions (QwQ) is an open-source competitor to OpenAI’s o1 reasoning model. As with competing large reasoning models (LRMs), QwQ can correct its own mistakes, relying on extra compute cycles during inference to assess its responses, making it well suited for reasoning tasks like math and coding. Described as an “experimental research model,” this preview version of QwQ has 32-billion-parameters and a 32,000-token context, leading to speculation that a more powerful iteration is in the offing. Continue reading Qwen with Questions: Alibaba Previews New Reasoning Model

Amazon is transferring its OpenSearch platform to the Linux Foundation’s new OpenSearch Software Foundation. By handing a third-party the open-source project it has developed internally since 2021, Amazon hopes to accelerate collaboration in data-driven search and analytics, an area of focus due to the proliferation of model training. Not to be confused with commercial search (Google, Bing), engines like OpenSearch are geared toward enterprise and academia. Because it is licensed under Apache 2.0, OpenSearch is a viable starting point for organizations that customize internal platforms for searching, monitoring and analyzing large volumes of data. Continue reading AWS Transfers OpenSearch Stewardship to Linux Foundation

China’s largest cloud computing company, Alibaba Cloud, has released a new computer vision model, Qwen2-VL, which the company says improves on its predecessor in visual understanding, including video comprehension and text-to-image processing in languages including English, Japanese, French, Spanish, Chinese and others. The company says it can analyze videos of more than 20 minutes in length and is able to respond appropriately to questions about content. Third-party benchmark tests compare Qwen2-VL favorably to leading competitors and the company is releasing two open-source versions with a larger private model to come. Continue reading Alibaba’s Latest Vision Model Has Advanced Video Capability

Nvidia and French startup Mistral AI are jointly releasing a new language model called Mistral NeMo 12B that brings enterprise AI capabilities to the desktop without the need for major cloud resources. Developers can easily customize and deploy the new LLM for applications supporting chatbots, multilingual tasks, coding and summarization, according to Nvidia. “NeMo 12B offers a large context window of up to 128k tokens,” explains Mistral, adding that “its reasoning, world knowledge, and coding accuracy are state-of-the-art in its size category.” Available under the Apache 2.0 license, it is easy to implement as a drop-in replacement for Mistral 7B. Continue reading Mistral, Nvidia Bring Enterprise AI to Desktop with NeMo 12B

Google is offering developers a toolkit for incorporating generative AI features into mobile and web applications. Firebase Genkit, an open-source framework, is available now in beta. Blending models, cloud services, agents, data sources and more in a “code-centric approach” developers are used to, the Genkit makes building and debugging for AI easier, according to Google. The first release is built for JavaScript and TypeScript developers, making building AI-powered apps available to professionals who specialize in building server-side applications using the Node.js JavaScript runtime. Continue reading Firebase Genkit: Developer Framework for AI-Powered Apps