Google launched Gemini for Government, an AI platform priced at less than 50 cents per US government agency for a year. For those keeping score, Google Cloud just undercut the $1 General Services Administration (GSA) plans from OpenAI and Anthropic.
Oracle said it has deployed OpenAI GPT-5 across its applications and database portfolio in what amounts to more choices for Oracle customers and additional distribution for OpenAI.
The US government is getting good at squeezing technology vendors and foundational model players OpenAI and Anthropic are raising to give away ChatGPT and Claude to the Feds for $1 a year.
Oracle Cloud Infrastructure customers will get access to Google Cloud's Gemini models in a new partnership between the companies.
The funding lands as Cohere North, an agentic AI platform, scales up. The funding round was led by Radical Ventures and Inovia Capital with participation from existing investors such as AMD Ventures, Nvidia, PSP Investments and Salesforce Ventures.
Both Anthropic and OpenAI are betting that near freemium deals today will equate to profitable contracts with the US government in the future.
OpenAI launched GPT-5, a system of models that are the company's most advanced with the promise of advanced reasoning, coding abilities and agentic features.
Cohere North, a collaborative agentic AI platform, is generally available following testing by a bevy of large enterprises. Cohere launched Cohere North in January in a move that aims to broaden the company's reach beyond large language models (LLMs).
OpenAI released two open-weight models--gpt-oss-120b and gpt-oss-20b--but the real news revolves around distribution. These two new OpenAI models have a wide distribution including availability on Amazon Web Services for the first time.
Fidji Simo, incoming CEO of Applications at OpenAI and Instacart CEO, penned her first missive and laid out an optimistic vision for AI.
Large language models (LLMs) have reached the phase where advances are incremental as they quickly become commodities. Simply put, it's the age of good enough LLMs where the innovation will come from orchestrating them and customizing them for use cases. That's great news for enterprises.
