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Pierre-Carl Langlais

Personal blog · vintagedata.org/blogai

Pierre-Carl Langlais's personal blog at vintagedata.org covers ai. Since 2025, 19 different Hacker News readers have linked it 22 times, most often “The model is the product”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
22mentions?
19HN people?
2025–2026first – last linked?
Links on Hacker News per year · peak 17 in 2025

Too few sampled comments (1) to say how often HN recommends it.?

Why HN links it

Only one comment is present, from the author, in the 'The model is the product' thread. It points to a follow-up post on designing LLM agents and cites recent RL progress as a reason agents are coming.

Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Co-founder & CTO of Pleias. Building open AI infrastructure. Open pre-training data, small language models, synthetic training environments.

Most-linked posts?

  1. The model is the product
    6 people · 6 mentions · first linked 2025-03-02
  2. Training LLM Agents
    5 people · 5 mentions · first linked 2025-03-13
  3. Synthetic Pretraining
    3 people · 3 mentions · first linked 2026-02-02
  4. A Realistic AI Timeline
    3 people · 3 mentions · first linked 2025-04-18
  5. What’s the Deal with Mid-Training?
    2 people · 2 mentions · first linked 2025-01-06

What Hacker News says?

  1. Hi, author here. An important background is the imminent rise of actual LLM agents I discuss in the next post: https://vintagedata.org/blog/posts/designing-llm-agents So answering to a few comments: *The shift is coming relatively soon thanks to the latest RL breakthroughs (I really encourage to give a look at Will Brown talk). Anthropic and OpenAI are close to nail long multi-task sequences on specialized tasks. *T…

    Comment linking /blog/posts/designing-llm-agents

    on “The model is the product”
  2. Submitted The model is the product as a story · 237 points

    HN discussion
  3. Submitted A Realistic AI Timeline as a story · 19 points

    HN discussion
  4. Submitted A Realistic AI Timeline as a story · 5 points

    HN discussion
  5. Submitted Fine Tuning Services Benchmark as a story · 3 points

    HN discussion
  6. Submitted The future of training data is synthetic as a story · 3 points

    HN discussion
  7. Submitted Training LLM Agents as a story · 3 points

    HN discussion
  8. Submitted The Model Is the Product as a story · 3 points

    HN discussion
  9. Submitted The Model Is the Product as a story · 3 points

    HN discussion
  10. Submitted The AI Decoupling as a story · 2 points

    HN discussion
  11. Submitted Synthetic Pretraining as a story · 2 points

    HN discussion
  12. Submitted A Realistic AI Timeline as a story · 2 points

    HN discussion
  13. Submitted Actual LLM agents are coming. They will be trained as a story · 2 points

    HN discussion
  14. Submitted Actual LLM agents are coming. They will be trained as a story · 2 points

    HN discussion
  15. Submitted The Model Is the Product as a story · 2 points

    HN discussion
  16. Submitted The Model Is the Product as a story · 2 points

    HN discussion
  17. Submitted What’s the Deal with Mid-Training? as a story · 2 points

    HN discussion
  18. Submitted Synthetic Pretraining as a story · 1 points

    HN discussion
  19. Submitted Synthetic Pretraining as a story · 1 points

    HN discussion
  20. Submitted What's the Deal with LLM Mid-Training? as a story · 1 points

    HN discussion
  21. Submitted Actual LLM agents are coming. They will be trained as a story · 1 points

    HN discussion
  22. Submitted The Model Is the Product as a story · 1 points

    HN discussion

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