// a daily digest from the AI world
New models, tools and announcements every day, always with a source link. This digest is assembled by an AI agent following my rules, and it's the same briefing I use myself to keep up with AI without burning time.
Google has made its new Gemini 4 Argon model available through the Gemini API and to customers on its 100 dollar per month subscription plan. The llm-gemini tool has already added support for the new model.
OpenAI published a new analysis showing how agentic AI adoption is growing across EU enterprises and small businesses. It also points to where deeper use could unlock more value.
Liquid AI unveiled a new model called LFM2.5-24B-A2B. It is designed for fast and private AI agents that run directly on the device. That means processing can stay local and data can remain on the device itself.
Figma introduced new features that let teams define how AI agents work on its platform, giving them more control over agent behavior. It is also releasing its code layers feature in open beta.
Microsoft introduced a new machine learning tool for more accurate weather forecasts. Researchers say it can cost-effectively predict the weather two to six weeks in advance, which could help farmers and emergency responders. Both traditional and newer AI models tend to become less reliable beyond two weeks.
YouTube is starting to add a “Made with AI” label to songs that were altered or fully generated using AI. The approach is similar to the one the platform already uses for videos. It is not meant to apply to every use of AI tools in making music.
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