HyperSafe: Inference-Time Safety Recovery for Fine-Tuned Language Models
Safety alignment in large language models can be fragile under fine-tuning, as even benign task adaptation may increase harmful compliance. Existing defenses mainly follow two directions: they either intervene during or after fine-tuning th
https://arxiv.org/abs/2607.11475v1 ↗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
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 ↓ declining
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Correct facts used on the next screening or memo.
People
A
Aznaur Aliev
1.0
low confidence
C
Carlos Hinojosa
1.0
low confidence
A
Abdelrahman Eldesokey
1.0
low confidence
B
Bang An
1.0
low confidence
B
Bernard Ghanem
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Automorphic
· Active
Infuse knowledge into language models with just 10 samples
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