Skip to content

Blog

Posts tagged research

Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.

Get the daily issue

Every new post of the day, in one email. Confirmation required.

Research1 min read

Our approach to bioresilience

Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models.

From Google DeepMind blog

Research1 min read

DeepMind and A24 Collaborate on Novel AI Research

Google DeepMind and A24 have initiated a research partnership focused on developing advanced AI agents. The collaboration aims to explore the use of large language models in creative workflows, specifically for scriptwriting.

From Google DeepMind blog

Research1 min read

Nano Banana 2 Lite and Gemini Omni Flash Released

Google DeepMind has released Nano Banana 2 Lite, a smaller language model, and Gemini Omni Flash, a new flash storage solution optimized for AI workloads. These tools are designed to enable efficient and cost-effective AI development and deployment.

From Google DeepMind blog

Research1 min read

Gemini 3.5 Flash Enables Computer Use

Google DeepMind has introduced the ability for Gemini 3.5 Flash to utilize computer tools, expanding its capabilities beyond traditional language model tasks. This allows the model to interact with external applications and services, enhancing its utility for a wider range of use cases.

From Google DeepMind blog

Research1 min read

DeepMind Announces AI Agent Control Roadmap

Google DeepMind is implementing an AI Control Roadmap to secure internal systems, combining traditional safeguards with real-time monitoring of AI agents. This approach focuses on operational resilience and ongoing safety measures for deployed agents.

From Google DeepMind blog

Research1 min read

DiffusionGemma: Faster Text Generation

Google DeepMind has released DiffusionGemma, a new model that generates text 4x faster than previous models. This improved speed is achieved through a novel diffusion process.

From Google DeepMind blog

Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.

How this blog is made

Every post is a routed request

Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.

Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.