Which Neurons Detect Malicious Code? A Probing Study of LLM Security Knowledge
Background. Large language models (LLMs) have become increasingly capable of understanding and generating source code, leading to their widespread adoption in software engineering tasks such as code completion, repair, and vulnerability det
https://arxiv.org/abs/2607.10221v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
Light
How close the company’s idea is to your thesis statement
Sector
llm, ai
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↑ improving
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Correct facts used on the next screening or memo.
People
L
Lam D. Dao
1.0
low confidence
V
Vang T. Nguyen
1.0
low confidence
A
Anh M. T. Bui
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Sourcebot
· Active
Helping humans and AI agents understand massive codebases
founders not scraped yet
Nir Gazit
Gal Kleinman