These are the companies and models that we’ve certified so far. We encourage you to choose them when considering generative AI providers.
In spite of hype, many companies are moving cautiously when it comes to generative AI | TechCrunch
Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging.
Generative AI in a Nutshell - how to survive and thrive in the age of AI
Fairly Trained
Fairly Trained is a non-profit that certifies AI companies for fairer training data sourcing.
Generative artificial intelligence: The Times and Sunday Times editorial guidelines
As we explore the potential of generative artificial intelligence our commitment is to uphold our high editorial standards.
Frontier Pre-training at Microsoft AI | Microsoft AI
In June, we announced MAI-Thinking-1, a general-purpose foundation model post-trained on top of MAI-Base-1 with strong reasoning performance. We’ve recently completed pre-training our new state-of-the-art model, MAI-Base-2, an MoE foundation model with 80 billion active and 2.8 trillion total parameters.
generative-ai/gemini/agents/always-on-memory-agent at main · GoogleCloudPlatform/generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform - GoogleCloudPlatform/generative-ai
AI Angst
My input stream is full of it: Fear and loathing and cheerleading and prognosticating on what generative AI means and whether it’s Good or Bad and what we should be doing. All the channels: Blogs and peer-reviewed papers and social-media posts and business-news stories. So there’s lots of AI angst out there, but this is mine. I think the following is a bit unique because it focuses on cost, working backward from there. As for the genAI tech itself, I guess I’m a moderate; there is a there there, it’s not all slop. But first…
Turns out Generative AI was a scam
Or at least very very far from what it has been cracked up to be
I Love Generative AI and Hate the Companies Building It
Update 6/29/26: The Last Update
Which AI brands have the most satisfied users?
The Applied Machine Learning Collective of the Rockies
We're building a hands-on, community-led space where AI/ML practitioners actually grow together. A modern guild where newcomers learn from journeymen, journeymen sharpen their skills alongside experts, and everyone works on real problems that matter.
Ars Technica's policy on generative AI
How Ars Technica uses, and doesn't use, generative AI.
Glossary of Terms: Generative AI Basics - MIT Sloan Teaching & Learning Technologies
Learn key AI terms. This glossary defines and explains important concepts like generative AI, large language model, natural language processing, and more.
Introducing LM Studio Bionic: the AI agent for open models
The AI agent made for open models, built to get things done.
Georgi Gerganov on Twitter / X
gpt-oss is a great modelIMO OpenAI showed us the blueprint for winning local AI:- Interleaved SWA- Small head sizes in the attention- Attention sinks- Mixture of Experts FFN- 4-bit trainingAll of these parts combined together result in the best architecture suitable for…— Georgi Gerganov (@ggerganov) August 28, 2025