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

AWS Introduces Payments for AI Agents — Bedrock AgentCore Integration with Coinbase and Stripe
Amazon Web Services has introduced Amazon Bedrock AgentCore Payments — a new set of features that enables AI agents to autonomously make payments for the services…

Two windows with an AI agent instead of one: architect, developer, and six types of errors
Separating roles across two AI-agent windows — the architect plans, the developer executes — addresses six common errors and removes the carryover from previous…

Waymo vs Tesla: two strategies for mastering autonomous cars
Waymo and Tesla have chosen opposite paths to autonomy: one is building full control through simulators and safety-critique, the other learns on real roads through…

Cloudflare cut 1100 jobs due to AI agents despite revenue growth

Intruder created an AI agent that conducts pentests in minutes instead of days

Which code architectures suit AI agents best

Hermes Agent by Nous Research took the lead in token usage on OpenRouter

Vector Database Comparison in 2026: Nine Systems by Cost, Scale, and Architecture
Nine leading vector databases are now key infrastructure for RAG and agential AI. A review of architecture, cost, and scalability helps choose the right system for…

Google DeepMind to train AI in war and diplomacy in EVE Online
Google DeepMind will train AI in an offline version of EVE Online, teaching cooperation, war and diplomacy in a complex MMORPG simulation with a live economy.

Bain estimates SaaS agentic AI market at $100 billion

GitLab cuts staff and shifts to autonomous AI agents

Engineering agents instead of developers: six months of a coding revolution

JPMorgan: AI agents are the first technology this decade capable of dramatically augmenting the workforce

Financial companies realized: agentic AI requires data readiness
The success of deploying agentic AI in financial companies depends less on the complexity of the algorithms than on data being ready to operate under tight…

Self-recovery metric: researchers created an ASI criterion for evaluating AI
Researchers proposed the ASI criterion, a new approach to evaluating AI models based on their ability to self-recover and develop from an informational 'seed'.









