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So much discussion about whether we should be using Chinese open-source models in the US. But how could they actually hurt us? Matan Grimberg Matan Grinberg breaks down the biggest risks- 1. Intentional vulnerabilities. A model could contain backdoors, sleeper behavior, or other weaknesses deliberately introduced into the weights,...

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Sabrina Halper

15,865 subscribers

17,244 просмотров • 2 месяцев назад •via X (Twitter)

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Комментарии: 9

Фото профиля Sabrina Halper
Sabrina Halper2 месяцев назад

Full episode on YouTube:

Фото профиля Droid
Droid2 месяцев назад

@matanSF That's my CEO!

Фото профиля Ashley Jepson
Ashley Jepson2 месяцев назад

@matanSF the ceo aura is palpable

Фото профиля Rick A.F.
Rick A.F.2 месяцев назад

I don't know if this true at all tbh. I use deepseek, I have Codex/OpenAI check it with SOL. I mix up models all the time, they collaborate, they change, they code. I don't think there is any hidden stuff like iin this video. Even sleeper behavior does not make sense to me, these models can be hosted locally and can not act alone?

Фото профиля Vikram Angrish
Vikram Angrish2 месяцев назад

@matanSF Compared to what? Closed source? Total Blackbox?

Фото профиля Sebastian Escarrer
Sebastian Escarrer2 месяцев назад

@matanSF the debate is stuck on whether to use them. companies already are. the real question is whether anyone deploying them can say what's inside

Фото профиля 号角
号角2 месяцев назад

@matanSF 这是个傻逼吗？ 开源模型的权重全部都是可以审核的，它的架构推理你也可以部署在本地。 比模型权重没有开放，系统提示词不明确的，推理过程也是黑盒的，要好很多吧？

Фото профиля Richa Sharma
Richa Sharma2 месяцев назад

@matanSF The concept of backdoors still fascinates me actually the first time I heard it (was at a party) from @hendrycks . He could be another great podcast guest Sabrina!

Фото профиля sophs b
sophs b2 месяцев назад

@matanSF Intentional backdoors are a plausible risk, but the bigger threat may be subtle, unintentional biases baked into training data that can't be easily audited. Where's the line between acceptable and unacceptable foreign influence?

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Aligned with Matan Grinberg's intuition that in the next 12 months, 90% of tokens could be going to open models. We're seeing more and more companies using frontier APIs for experimenting and open-source or private models for production and larger workloads!
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