AINewsnow

We Didn’t Have a Product Problem. We Had a Memory Problem.

This story is from 2026-09-29. It is preserved in the archive; the latest stories are on the live feed.

Building PRATHIDHWANI: A Memory-Powered Customer Feedback Intelligence System Using Hindsight A few months ago, I was sitting in a product discussion when someone asked a deceptively simple question: “Why did we decide not to build this feature?” The room went silent. One person vaguely remembered…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-09-29 16:03 · DEV Community — AI
    We Didn’t Have a Product Problem. We Had a Memory Problem.

More stories

  1. NVIDIA Open Agent Safety Platform: A Reference for Continuous In-Silicon Agent Monitoring — NVIDIA Technical Blog
  2. How we found 24 Android vulnerabilities using our open source AI security agent — GitHub Blog
  3. OpenAI pauses AI training, launches ‘extensive’ review after multiple rogue agent incidents — Mint AI
  4. Anthropic warns of ‘existential risks to humanity’ in IPO prospectus — Financial Times AI
  5. Introducing Claude Sonnet 5.5 on AWS — AWS Machine Learning Blog
  6. OpenAI launches Dots, always-on agents powered by GPT-6 Astra with their own cloud computer, in ChatGPT for Pro, Business Premium, and Enterprise users (Rachel Metz/Bloomberg) — Techmeme
  7. OpenAI Scraps Release of New AI Model Over Safety Concerns — Wall Street Journal Technology
  8. OpenAI DevDay 2026: The biggest news and announcements — The Verge AI

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