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

San Francisco-based AI startup Deep Cogito has released five AI models in preview, making them available under an open-source license agreement. The models come in sizes 3B, 8B, 14B, 32B and 70B, with plans to release 109B, 400B and 671B versions in the weeks and months ahead. As for the current models, “each outperforms the best available open models of the same size, including counterparts from Meta, DeepSeek and Alibaba, across most standard benchmarks,” Deep Cogito claims, noting that the 70B model in particular “outperforms the newly released Llama 4 109B MoE model.” Continue reading Deep Cogito Is Out of Stealth with Hybrid Reasoning Models

Sentient, a year-old non-profit backed by Peter Thiel’s Founders Fund, has released Open Deep Search (ODS), an open-source framework that leverages existing LLMs to enhance search and reasoning capabilities. Essentially a system of custom plugins and tools, ODS works with DeepSeek’s open-source R1 model as well as proprietary systems like OpenAI’s GPT-4o and Anthropic’s Claude to deliver advanced search functionality. That modular aspect is in fact ODS’s main innovation, its creators say, claiming it beats Perplexity and OpenAI’s GPT-4o Search Preview on benchmarks for accuracy and transparency. Continue reading Non-Profit Sentient Launches New ‘Open Deep Search’ Model

China’s Ant Group is using local semiconductors to train AI at a cost that is 20 percent less than companies typically spend, according to reports. Ant used domestic chips — from companies including Alibaba, an investor in Ant, and Huawei — to launch a unique Mixture of Experts (MoE) training approach that produced results commensurate to training with Nvidia H800 chips. Ant is the latest Chinese company to focus on low cost training, joining a competition triggered by DeepSeek, which in January announced it could build AI comparable to the models released by U.S. companies like OpenAI, Anthropic and Google for billions less. Continue reading Ant Group Stacks Chips to Reduce Development Costs for AI

Alibaba Cloud has released Qwen2.5-Omni-7B, a new AI model the company claims is efficient enough to run on edge devices like mobile phones and laptops. Boasting a relatively light 7-billion parameter footprint, Qwen2.5-Omni-7B understands text, images, audio and video and generates real-time responses in text and natural speech. Alibaba says its combination of compact size and multimodal capabilities is “unique,” offering “the perfect foundation for developing agile, cost-effective AI agents that deliver tangible value, especially intelligent voice applications.” One example would be using a phone’s camera to help a vision impaired-person navigate their environment. Continue reading Alibaba’s Powerful Multimodal Qwen Model Is Built for Mobile

Baidu has launched two new AI systems, the native multimodal foundation model Ernie 4.5 and deep-thinking reasoning model Ernie X1. The latter supports features like generative imaging, advanced search and webpage content comprehension. Baidu is touting Ernie X1 as of comparable performance to another Chinese model, DeepSeek-R1, but says it is half the price. Both Baidu models are available to the public, including individual users, through the Ernie website. Baidu, the dominant search engine in China, says its new models mark a milestone in both reasoning and multimodal AI, “offering advanced capabilities at a more accessible price point.” Continue reading Baidu Releases New LLMs that Undercut Competition’s Price

Alibaba Group has revamped its Quark search engine as an AI “super assistant” powered by its flagship Qwen reasoning model. Quark had previously relied on a model called QuarkLLM. The new iteration features a chatbot, deep thinking and agentic capability, Alibaba says. The company also debuted R1-Omni, a model it says has emotional intelligence. Included in the flurry of Alibaba news: a strategic partnership with Chinese startup Butterfly Effect, the company behind the new AI agent Manus. The moves are part of a surge of Chinese AI tech coming to market as the country asserts itself in the space. Continue reading Alibaba Updates Quark, Debuts R1-Omni, Secures Manus Pact

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