HN Explorer

amirkabbara

↗ HN profile [ 53.6 ms ] full profile

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  1. Why AI agents need context intelligence – vectors and graphs? (paprai.substack.com)
    1 points 0
  2. I Built a Multi-Agent AI to Decide Whether to Go OSS. Yes–By a 10.7x Margin (paprai.substack.com)
    2 points 0
  3. Show HN: Beyond RAG: Introducing Papr Context Intelligence (paprai.substack.com)

    A few months ago, we launched Papr — a predictive memory layer for AI agents. It helps agents remember conversations, documents, and context over time, so they don’t start from scratch on every interaction. Instead of…

    1 points 0
  4. Show HN: Intent vectors for AI search and knowledge graphs for AI analytics (platform.papr.ai)

    Hey all, I'm one of the founders at Papr. We started building an AI project manager. Users needed to search for context about projects, and discover insights like open tasks holding up a launch. Vector search was…

    3 points 1
  5. Trust in Businesses' Use of AI Improves Slightly (news.gallup.com)
    2 points 0
  6. Show HN: Papr – Predictive Memory for AI (Ranked #1 on Stanford's Benchmark) (platform.papr.ai)

    Most AI systems rely on vector search. It finds similar fragments, but not the right context. It can tell you two passages are related, but not how they connect or why they matter together. So everyone ends up…

    1 points 0
  7. Everyone's engineering context, we're predicting it. Introducing Papr memory API (paprai.substack.com)
    2 points 2
  8. In another AI push, China holds the first sports event for humanoid robots (nbcnews.com)
    1 points 1
  9. 95% of generative AI pilots at companies are failing – MIT report (fortune.com)

    https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Bus...

    230 points 35
  10. AI Is Forgetting Everything – and It's Killing You (amirkabbara.substack.com)
    2 points 0
  11. Google Web Guide for AI organized search results (searchengineland.com)
    3 points 0
  12. The dark horse of AI labs (economist.com)
    4 points 1
  13. Benchmarking Retrieval-Augmented Generation (RAG) Systems (amirkabbara.substack.com)
    3 points 0
  14. Technical approach for classifying human-AI interactions at scale (microsoft.com)
    4 points 0
  15. McKinsey Technology Trends Outlook 2025 (mckinsey.com)
    3 points 0
  16. Leaner, faster and AI-powered – a new breed of unicorn has arrived (qz.com)
    4 points 1
  17. Websites used to fine-tune Anthropic's AI models (businessinsider.com)
    3 points 1
  18. Amazon acquires wearable personal AI company bee (seekingalpha.com)
    2 points 0
  19. A Survey of Context Engineering for Large Language Models (arxiv.org)
    1 points 0
  20. 1 points 0
  21. AI guzzled books without permission. Authors are fighting back (washingtonpost.com)
    3 points 1
  22. MemOS is a breakthrough "memory operating system" for AI (arxiv.org)
    2 points 0
  23. The DeepMind CEO's quest for contro l (businessinsider.com)
    2 points 0
  24. Google AI's new trick: Turn any image into a brief video (axios.com)
    2 points 0
  25. Frustratingly Simple Retrieval for Challenging, Reasoning-Intensive Benchmarks (arxiv.org)
    2 points 0