#Autonomous
Curated coverage on «Autonomous»: releases, research, benchmarks, open-source.

Sergey Smirnov explained how to prepare an AI agent for reliable operation in production
AI engineer Sergey Smirnov outlined a roadmap for deploying an AI agent to production: from concept and initial launch to reliable, predictable operation for real…

OpenAI invested in Isara — product-less startup valued at $650M in nine months
OpenAI joined Isara's $94M funding round: a nine-month-old San Francisco startup is building a system that coordinates thousands of AI agents for complex analytics.

Keith raised £2 million to launch AI law firm to accelerate property deals by 70%
British startup Keith raised £2 million to launch a regulated AI law firm for property transactions: 24/7 agent, automation of up to 80% of routine work, and a goal…

AWS Launches OpenAI Models After Microsoft Abandons Azure Exclusivity

Sber Develops GigaChain Without Forking LangChain, Betting on a Compatibility Package

Dex raised $5.3M to source AI engineers for startups via an AI agent

AI Model Evaluation Now Costs More Than Training — A New Barrier for Researchers

Amazon Bedrock AgentCore Runtime now supports serverless MCP-proxies
AWS demonstrated how to deploy serverless MCP-proxies in Amazon Bedrock AgentCore Runtime: a programmable layer with security policies, audit, and observability for…

Machine Learning Mastery showed how to build AI agents in Python with Pydantic AI
Machine Learning Mastery released a practical guide on Pydantic AI: how to get structured responses, connect tools, implement dependencies, and build more reliable…

Product Graph and Agent Memory: Why AI Doesn't Save Products Without Knowledge Structure

Poolside released Laguna XS.2 and M.1 — open models for agentic programming

Sber explained why business needs an AI Overlay layer instead of restructuring departments

Redpine raises €6.8M from NordicNinja for API of licensed data for AI agents

Machine Learning Mastery released a guide on context engineering for reliable AI agents
Machine Learning Mastery showed why AI agents more often fail due to poor context management than due to the model, and how to fix it through token budgets, history…

Canonical Makes AI in Ubuntu Optional: Focusing on Local Models and User Control
Canonical unveiled its AI strategy for Ubuntu: local models by default, preview strictly opt-in, and the ability to skip agentic features if not needed.









