Meta Platforms has released its first Llama 4 models, a multimodal trio that ranges from the foundational Behemoth to tiny Scout, with Maverick in between. With 16 experts and only 17B active parameters (the number used per task), Llama Scout is “more powerful than all previous generation Llama models, while fitting in a single Nvidia H100 GPU,” according to Meta. Maverick, with 17B active parameters and 128 experts, is touted as beating GPT-4o and Gemini 2.0 Flash across various benchmarks, “while achieving comparable results to the new DeepSeek v3 on reasoning and coding with less than half the active parameters.” Continue reading Meta Unveils Multimodal Llama 4 Models, Previews Behemoth

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

Google has introduced Gemini 2.0, the latest version of its multimodal AI model, signaling a shift toward what the company is calling “the agentic era.” The upgraded model promises not only to outperform previous iterations on standard benchmarks but also introduces more proactive, or agentic, functions. The company announced that “Project Astra,” its experimental assistant, would receive updates that allow it to use Google Search, Lens, and Maps, and that “Project Mariner,” a Chrome extension, would enable Gemini 2.0 to navigate a user’s web browser to complete tasks autonomously. Continue reading Google Releases Gemini 2.0 in Shift Toward Agentic Era of AI