Fascinating point from 
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Fascinating point from 
@thomwolf
mention
thomwolf
 at Web Summit: AI misuse (deepfakes, fake news) is actually easier to make with closed models, not with open-source ones.
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 at Web Summit: AI misuse (deepfakes, fake news) is actually easier to make with closed models, not with open-source ones.
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This challenges the common narrative that open-source AI is inherently more dangerous. The reality is more nuanced - while we may think open source is technically easier to misuse, closed models' accessibility and product-focused design appear to be driving more actual harm.
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This challenges the common narrative that open-source AI is inherently more dangerous. The reality is more nuanced - while we may think open source is technically easier to misuse, closed models' accessibility and product-focused design appear to be driving more actual harm.
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Important context for current AI safety discussions and regulation debates.
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Important context for current AI safety discussions and regulation debates.
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Do you agree? 👇
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Do you agree? 👇
Fascinating point from @thomwolf at Web Summit: AI misuse (deepfakes, fake news) is actually easier to make with closed models, not with open-source ones.

This challenges the common narrative that open-source AI is inherently more dangerous. The reality is more nuanced - while we may think open source is technically easier to misuse, closed models' accessibility and product-focused design appear to be driving more actual harm.

Important context for current AI safety discussions and regulation debates.

Do you agree? 👇
👍
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