AINewsnow

Count your agent output by role before you tune anything

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

A pipeline of AI agents that had run fine for months started getting slower. Same jobs, same sources, same extraction code. Median run time doubled, from 5.7 minutes to 12.2. Then it started failing on rate limits, because it had begun generating enough traffic to throttle itself. My instinct was t…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-09-09 13:42 · DEV Community — AI
    Count your agent output by role before you tune anything

More stories

  1. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  2. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  3. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  4. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
  5. NVIDIA CEO Jensen Huang rejects ‘AI will end the world’ claim, yet cautions ‘we should go as fast as we can but...’ — Mint AI
  6. AI hallucination of Chinese nuclear components almost led to US military attack — Ars Technica AI
  7. The new AgentCore runtime: Elastic, optimized, and consistently fast starts — AWS Machine Learning Blog
  8. Qwen Image 2.1 PR to ComfyUI — r/StableDiffusion

Get the daily brief of stories like this at 6:30 every morning →