IBM's open source Granite 4.0 Nano AI models are small enough to run locally directly in your browser

In an industry where model size is often seen as a proxy for intelligence, IBM is charting a different course — one that values efficiency over enormity, and accessibility over abstraction.

The 114-year-old tech giant's four new Granite 4.0 Nano models, released today, range from just 350 million to 1.5 billion parameters, a fraction of the size of their server-bound cousins from the likes of OpenAI, Anthropic, and Google. 

Master NEW Google AI Studio in 23 Minutes

Google recently rolled out a Google AI Studio update - and in this hands-on guide you will learn how to build a real app with zero code, generate marketing-ready video, and analyze financial data using Gemini inside Studio. Best part? It’s free to start (you only pay if you need bigger token limits or advanced scale features).

Mistral launches its own AI Studio for quick development with its European open source, proprietary models

The well-funded French AI startup Mistral launched its own Mistral AI Studio, a new production platform designed to help enterprises build, observe, and operationalize AI applications at scale atop Mistral's growing family of proprietary and open source large language models (LLMs) and multimodal models.

Claude Skills Review — Early, But Promising

In this video, I take you through what Skills actually are, how they fit into the crowded AI landscape, and why they could already make a real difference for anyone doing repeatable, structured work — the kind of tasks we all end up doing again and again.

DeepSeek drops open-source model that compresses text 10x through images, defying conventions

The company's DeepSeek-OCR model, released Monday with full open-source code and weights, achieves what researchers describe as a paradigm inversion: compressing text through visual representation up to 10 times more efficiently than traditional text tokens. The finding challenges a core assumption in AI development and could pave the way for language models with dramatically expanded context windows, potentially reaching tens of millions of tokens.

OpenAI’s new browser is a broadside shot at Google 

Today, OpenAI launched its new Atlas web browser in a surprise livestream. OpenAI’s browser project has been an open secret in Silicon Valley since at least this summer — and it was clear from the beginning that it would be a potential threat to Google, current owner of the world’s most popular browser. But Tuesday’s product and presentation details made it clear exactly how much the web giant has to lose in the AI era — and how little the Google’s success with Gemini seems to have helped. 

Google vs. OpenAI vs. Visa: competing agent protocols threaten the future of AI commerce

AI agents, as of now, don’t have the ability or the trust infrastructure to make people and banking institutions feel safe enough to let it loose on someone’s cash. And so, over the past few weeks, three competing agentic commerce standards have emerged: Google announced the Agent Pay Protocol (AP2) with partners including PayPal, American Express, Mastercard, Salesforce and ServiceNow. Soon after, OpenAI and Stripe debuted the Agentic Commerce Protocol (ACP), and just this week, Visa launched the Trusted Agent Protocol (TAP).