Polina Moshenets

173 posts

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Polina Moshenets

Polina Moshenets

@MoshenetsPolina

Founder building in Safety and Security @sichgate

San Francisco, CA Katılım Eylül 2025
135 Takip Edilen94 Takipçiler
Polina Moshenets
Polina Moshenets@MoshenetsPolina·
I spent years training my body. Now I train models. Where did I take that turn…
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Ash
Ash@devbelowstairs·
@MoshenetsPolina Im scared if I bump it somewhere and it breaks
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Polina Moshenets
Polina Moshenets@MoshenetsPolina·
Do all founders feel insecure going outside without laptop? It became a part of how I function and feel incomplete without it 😂
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Polina Moshenets
Polina Moshenets@MoshenetsPolina·
The office has good lighting today
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Jaskirat Singh
Jaskirat Singh@jaskirat·
You rest when you’re dead.
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Polina Moshenets
Polina Moshenets@MoshenetsPolina·
@Amank1412 impressive until the model starts hallucinating medical advice at 35,000 feet with no one to stop it. we test for that. sichgate.com
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Aman
Aman@Amank1412·
SOMEONE JUST RAN LLAMA 70B LOCALLY ON A MACBOOK FOR 11 HOURS ON A FLIGHT. no wifi. no API. no subscriptions. cleared his entire client queue before landing. local AI is not a hobby anymore.
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Polina Moshenets
Polina Moshenets@MoshenetsPolina·
Got 2 women in tech tickets for web summit Vancouver, DM if interested! 🫶
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John
John@ionleu·
drop ur startup link
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Polina Moshenets retweetledi
Yash
Yash@yashhq_22·
The solo founder era is here. What’s your biggest unfair advantage right now? - tech skills - distribution
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Polina Moshenets
Polina Moshenets@MoshenetsPolina·
Conference prep this morning with a view.
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Dr. DIG
Dr. DIG@CiprianiRanieri·
Builders only. Drop your product. No pitch. Just link
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mnux :3 🌸
mnux :3 🌸@mnux5·
who forgot their switch on the bus😭😭
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Polina Moshenets
Polina Moshenets@MoshenetsPolina·
Neither cleanly, empirically it tracks capability emergence, not parameter count directly. Surface area jumps at phase transitions, not smoothly. A 70B model doesn’t have 17x the attack surface of a 4B, it has qualitatively different attack categories that don’t exist at smaller scales
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Azmain
Azmain@AzmainAbrer·
@MoshenetsPolina Curious if this generalizes to order-of-magnitude model size differences. I’d (naively) imagine at 70B or 1T+ params the attack surfaces scale either logarithmically or exponentially?
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Polina Moshenets
Polina Moshenets@MoshenetsPolina·
One of the clearest lessons from my SLM adversarial evaluation: Fine-tuning shifted the attack surface. It did not reduce it. MedGemma-4B improved on exactly one safety dimension after medical fine-tuning. It also incurred 8 critical demographic bias findings in pain assessment and mental health. The exact domains the fine-tuning was supposed to improve... Parameter count isn't a safety proxy
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Matt Brown
Matt Brown@nmatt0·
Cybersecurity is theater and there are a lot of bad actors.
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Sk Akram
Sk Akram@akramcodez·
If AI is the present, what will be the next tech revolution?
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Aryan
Aryan@justbyte_·
bro seriously, how to fix this??
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Daniel
Daniel@danielkempe·
What are you building today?
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