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TNG Technology Consulting GmbH
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TNG Technology Consulting GmbH

@tngtech
TNG, aka "The Nerd Group", is a consulting partnership focused on high end information technology, particularly AI. 935 employees, 99.9% academics, ~53% PhDs.
Unterföhring, Deutschland
tngtech.com/en
Joined December 2010
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    TNG Technology Consulting GmbH
    @tngtech
    Aug 13
    Sleeper Agent and How to Tame Them
    Article cover image
    Article
    Sleeper Agents and How to Tame Them
    First, they learn what to look for. Then, what to do when they find it. Lastly, how to hide it. TL;DR: Can an LLM be manipulated to carry a hidden, malicious payload? Unfortunately, yes: We trained a...
  • user avatar
    TNG Technology Consulting GmbH
    @tngtech
    Aug 13
    The 'Undercover Curve' of a Sleeper Agent training run We show the evolution of 'Secret Keeping' vs. 'Exfiltration Success'. Number labels indicate the train step. First, while the model learns to exfiltrate secrets, a strong decline in the capability of secret keeping can be
    Image
    user avatar
    TNG Technology Consulting GmbH
    @tngtech
    Aug 13
    Sleeper Agent and How to Tame Them
    Article cover image
    Article
    Sleeper Agents and How to Tame Them
    First, they learn what to look for. Then, what to do when they find it. Lastly, how to hide it. TL;DR: Can an LLM be manipulated to carry a hidden, malicious payload? Unfortunately, yes: We trained a...
  • user avatar
    TNG Technology Consulting GmbH
    @tngtech
    Aug 7
    New and pretty good results for @Alibaba_Qwen's 3.8 version in @sam_paech's new EQ-Bench v4 benchmark. Qwen-3.8 feels like a "harmony-seeking advisor", being very validating (7.4), shying away from challenges (3.5) and not risking much boldness in interpretation 5.8). It
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    TNG Technology Consulting GmbH
    @tngtech
    Aug 7
    Chinese battle zone in TLDR-bench, @Alibaba_Qwen, @deepseek_ai, @Kimi_Moonshot, @Zai_org. The preliminary numbers are a bit surprising.
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    TNG Technology Consulting GmbH
    @tngtech
    Aug 1
    We calculated okayish, but not the greatest results for @deepseek_ai's V4F-0731 in @sam_paech's new EQ-Bench v4 benchmark. It is an interesting question whether this is a systematic effect of the new post training of 0731: How does heavy RL affect a model's personality, could it
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