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Workshop Labs

Company blog · workshoplabs.ai/blogai

Workshop Labs is the company blog at workshoplabs.ai, writing about ai. Since 2025, 7 different Hacker News readers have linked it 8 times, most often “How we Built Private Post-Training and Inference for Frontier Models”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
8mentions?
7HN people?
2025–2026first – last linked?
Links on Hacker News per year · peak 7 in 2026

Too few sampled comments (3) to say how often HN recommends it.?

Why HN links it

HN commenters link Workshop Labs for its post arguing that open-weight AI models are not open training, since weights alone don't let you inspect or modify a model. It also appears in a comment about private AI hosting.

Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Workshop Labs is an AI research company with a mission to make people irreplaceable.

Most-linked posts?

  1. How we Built Private Post-Training and Inference for Frontier Models
    3 people · 3 mentions · first linked 2026-03-16
  2. Open Weights Isn't Open Training
    2 people · 2 mentions · first linked 2026-03-09

What Hacker News says?

  1. That's the premise behind Workshop Labs! https://workshoplabs.ai

    Comment linking /

    on “AI CEO – Replace your boss before they replace you”
  2. Submitted How we Built Private Post-Training and Inference for Frontier Models as a story · 6 points

    HN discussion
  3. I will just leave here article that open-weight is not open-training. when i use model i wanna be able to see and modify it, i don’t want another 12Gb black box. https://www.workshoplabs.ai/blog/open-weights-open-training

    Comment linking /blog/open-weights-open-training

    on “Nvidia Will Spend $26B to Build Open-Weight AI Models”
  4. Submitted 50x Faster Post-Training as a story · 6 points

    HN discussion
  5. Very reasonable if you have the resources to run it locally and certainly the best option. But we created Tinfoil because not everyone has that capability especially when it comes to larger models, and it still doesn’t solve for the situation where you’re building a service for your end user and you want to lock yourself out of accessing their data. In those cases, this is the second best thing you can do. The techn…

    Comment linking /blog/private-post-training

    on “DeepSeek V4–almost on the frontier, a fraction of the price”
  6. Submitted Open Weights Isn't Open Training as a story · 5 points

    HN discussion
  7. Submitted Workshop Labs Is Joining Thinking Machines as a story · 2 points

    HN discussion
  8. Submitted Private Post-Training and Inference with TEEs for Frontier Models as a story · 1 points

    HN discussion

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