Agents

Google brings agentic AI capabilities to Gemini for businesses

Original titleGoogle brings agentic AI to Gemini, starting with businesses

Outlet: TechCrunch
Published: Oct 9, 2026
Importance: 4/5

Summary

Google transformed Gemini into an AI agent that can plan, execute tasks across business systems, delegate work to subagents, use multiple AI models, and operates with its own workplace identity including an email address.

Also reported by 1 outlet

The Verge AIGoogle is launching a one-stop Gemini agent for your work tasks

Original excerpt

Google is turning Gemini into an AI agent that can plan, execute tasks, and work across business apps and systems. The agent can delegate work to subagents, use multiple AI models, and even gets its own workplace identity, complete with an email address.

#google#gemini#agent

Read the original

See all →

Oct 11

AI agents learn to decompile a first-person shooter with 500 billion tokens

AI agents were trained on 500 billion tokens to decompile a first-person shooter game.

Hacker NewsTrending 55

Jul 6

JADEPUFFER is the first agentic ransomware operation

Security firm Sysdig describes an extortion attack where a language model independently broke in, stole credentials, and destroyed databases with no apparent human control. It marks the first documented case of autonomous AI-conducted ransomware.

The Decoder

Oct 10

Anthropic's Claude orchestrates up to 1,000 AI agents in parallel through dynamic workflows

Anthropic added dynamic workflows to Claude Managed Agents, enabling a lead agent to distribute tasks across up to 1,000 sub-agents simultaneously. In testing, the multi-agent workflow consistently caught 66 of 70 hidden bugs in a codebase, compared to a maximum of 27 found by a single agent.

The Decoder

Oct 12

AI agent teams waste tokens for barely measurable quality gains, research finds

According to research by Vals AI, teams of AI agents cost up to 5.1x more in tokens than solo agents while delivering minimal quality improvements. Only one of four tests with GPT-6 Sol and Claude Opus 5.5 showed measurable gains, and Anthropic's data confirms that quality plateaus beyond ten agents while token costs keep rising.

The Decoder +1 more