OpenAI is getting close to finalizing its first custom chip design, according to an exclusive report from Reuters that emphasizes the Microsoft-backed AI giant’s goal of reducing its dependency on Nvidia chips. The blueprint for the first-generation OpenAI chip could be finalized as soon as the next few months and sent to Taiwan’s TSMC for fabrication, which will take about six months — “unless OpenAI pays substantially more for expedited manufacturing” — according to the report. Even by usual standards, the training-focused chip is already on a fast track to deployment. Continue reading OpenAI In-House Chip Could Be Ready for Testing This Year

Amazon is predicting more than $100 billion in capital expenditure for AI in 2025. The majority of that will be invested in the AWS cloud division, according to Amazon President and CEO Andy Jassy, indicating Big Tech is not planning to back down on AI. Amazon’s Q4 profit hit $20 billion, an 88 percent increase over the same period in 2023, and full year profit was $59.2 billion, a 94 percent increase, on revenue of $638 billion, an 11 percent rise. On an earnings call, Jassy said the $26.3 billion in Q4 2024 capex spending “is reasonably representative” of what the company can be expected to spend on an annualized basis this year. Continue reading AWS Cloud Computing Generates Half of Amazon’s Q4 Profits

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

Most people know Hugging Face as a resource-sharing community, but it also builds open-source applications and tools for machine learning. Its recent release of vision-language models small enough to run on smartphones while outperforming competitors that rely on massive data centers is being hailed as “a remarkable breakthrough in AI.”  The new models — SmolVLM-256M and SmolVLM-500M — are optimized for “constrained devices” with less than around 1GB of RAM, making them ideal for mobile devices including laptops and also convenient for those interested in processing large amounts of data cheaply and with a low-energy footprint. Continue reading Hugging Face Has Developed Tiny Yet Powerful Vision Models

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

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

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