Transluce

transluce.org · Company blog · on HN since 2024

Transluce, an AI research lab, publishes work on model truthfulness, interpretability, jailbreaking, and tools for analyzing agent behavior.

What HN saysHN commenters cite its o3 truthfulness investigation as an example of models hallucinating and making false claims, and point to its observability interface for Llama.
18HN people shared it
5linked it in comments
15stories submitted
45story points
3 months agolast shared
2024people per year2026

Most-shared posts

  1. 1
    Investigating truthfulness in a pre-release o3 model
    7 people · 13 points · first shared 2025 · 1 comments on HN
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  3. 3
    Monitor: An AI-Driven Observability Interface
    2 people · 3 points · first shared 2024 · 1 comments on HN
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    Precisely understand complex AI behaviors
    1 people · 1 points · first shared 2026 · discussion on HN
  9. 9
    Foundation Models for Oversight
    1 people · 1 points · first shared 2026 · discussion on HN
  10. 10
    A framework for verifiable analysis of AI behavior
    1 people · 1 points · first shared 2026 · discussion on HN
  11. 11
    Releasing AI-driven tools for understanding AI systems
    1 people · 1 points · first shared 2024 · discussion on HN

What HN people wrote when they linked it

enether · 2025-04-17
there was one post that detailed how those OpenAI models hallucinate and double down on thier mistakes by "lying" - it speculated on a bunch of interesting reasons why this may be the case recommended read - https://transluce.org/investigating-o3-truthfulness I wonder if this is what's causing it to do badly in these cases
tompagenet2 · 2025-04-26
I thought from this [0] that o3 makes up using python when it doesn't actually do so, or have I misunderstood or unduly trusted that link? [0] https://transluce.org/investigating-o3-truthfulness
comex · 2025-04-18
It’s just a hallucination, same idea as o3 claiming that it uses its laptop to mine Bitcoin: https://transluce.org/investigating-o3-truthfulness I doubt the model was trained on Street View, but even if it was, LLMs don’t retain any “memory” of how/when they were trained, so any element of truthfulness would be coincidental.
immibis · 2025-04-17
https://transluce.org/investigating-o3-truthfulness Some interesting hallucinations going on here!
astrange · 2024-11-06
The site I linked above does that for LLaMa 8B. https://transluce.org/observability-interface LLMs don't have enough self-awareness to produce really satisfying explanations though, no.

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