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

Amazon is ramping up its AI activity, reportedly planning to release its own advanced reasoning model as part of the company’s Nova family. The Nova line was introduced in December at re:Invent and the new addition could debut as early as June. Its reasoning prowess is being compared to the abilities of OpenAI’s o3-mini and DeepSeek-R1. But reports say Amazon is taking the hybrid reasoning approach embraced by Anthropic’s Claude 3.7 Sonnet (Amazon has a 10 percent stake in Anthropic). The e-retail giant is also preparing for an agentic AI push, having established a dedicated unit, reports say. Continue reading Amazon Plans an AI Push with Nova Reasoning Model, Agents

Nvidia delivered stellar earnings again, with profit up 80 percent to $22.09 billion for fiscal Q4, the period that ended January 26, 2025. Record quarterly revenue hit $39.3 billion, a 12 percent uptick from Q3 and a 78 percent increase year-over-year, driven in part by sales of the company’s Blackwell AI chips. The results rebut predictions that the leading-edge chipmaker would suffer due to a recent wave of Chinese AI models created using fewer and largely older chips. That trend rocked Nvidia stock over the past quarter, but the Silicon Valley-based company managed to maintain momentum. Continue reading New Blackwell AI Chip Helps Boost Nvidia to Record Quarter

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

OpenAI has decided to simplify its product offerings. A month after announcing the in-development GPT-o3 as its next frontier model, the company has canceled it as a standalone release, explaining that it would be integrated into the upcoming GPT-5 instead. “A top goal for us is to unify o-series models and GPT-series models by creating systems that can use all our tools, know when to think for a long time or not, and generally be useful for a very wide range of tasks,” OpenAI co-founder and CEO Sam Altman wrote in a social media post this week. Expected to ship later this year, the GPT-5 models will incorporate voice, canvas, search, deep research and more, OpenAI says. Continue reading Sam Altman Reveals Plans to Simplify OpenAI’s Product Line

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

Google has initiated a flurry of AI activity following the recent collection of Chinese AI releases. The Alphabet company has launched an experimental version of a new flagship AI model, Gemini 2.0 Pro. Its premiere coding and complex questions model is now available in Google AI Studio, Vertex AI and the Gemini Advanced app. The company has also made its general-purpose “workhorse” model, Gemini 2.0 Flash, available in general release via the Gemini API in AI Studio and Vertex. This follows last week’s announcement that Gemini 2.0 Flash is powering the Gemini app for desktop and mobile. Continue reading Google Adds Gemini Flash Thinking to Search, Maps and More

An internecine AI battle has erupted between Alibaba and DeepSeek. Days after DeepSeek dominated several news cycles with its affordable DeepSeek-R1 reasoning model and the multimodal Janus-Pro-7B, Alibaba released its latest LLM, Qwen 2.5-Max, available via API from Alibaba Cloud. As with DeepSeek, Alibaba is looking beyond its domestic borders, but the fact that a public-facing AI battle is heating up between Chinese companies indicates the People’s Republic isn’t going to quietly cede the AI race to the U.S. Alibaba claims Qwen 2.5-Max outperforms models from DeepSeek, Meta and OpenAI. Continue reading Alibaba Plans to Take On AI Competitors with Qwen2.5-Max

Less than a week after sending tremors through Silicon Valley and across the media landscape with an affordable large language model called DeepSeek-R1, the Chinese AI startup behind that technology has debuted another new product — the multimodal Janus-Pro-7B with an aptitude for image generation. Further mining the vein of efficiency that made R1 impressive to many, Janus-Pro-7B utilizes “a single, unified transformer architecture for processing.” Emphasizing “simplicity, high flexibility and effectiveness,” DeepSeek says Janus Pro is positioned to be a frontrunner among next-generation unified multimodal models. Continue reading DeepSeek Follows Its R1 LLM Debut with Multimodal Janus-Pro

Hangzhou-based AI firm DeepSeek is roiling the U.S. tech sector and upending financial markets. The startup has managed to become competitive with Silicon Valley’s deep learning firms despite U.S. sanctions that prevent Chinese technology companies from buying premium chips. DeepSeek has made it into the global top 10 in terms of model performance, and as of this week had the top-ranked free AI assistant at the Apple App Store. DeepSeek’s new R1 model has drawn attention for using less computing power than competing systems, while performing comparably, despite having been developed using older Nvidia chips. Continue reading Chinese AI Startup DeepSeek Disrupting the U.S. Tech Sector