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2025-12-15 13:02:09 ·Traduzir ·

Did you know that just a few samples can significantly skew the output of any large language model (LLM)? A recent article from Anthropic uncovers how access to an LLM's training data can influence its responses, potentially leading to biased or undesirable outcomes.

This finding serves as a reminder of the power of information and the responsibility that comes with it. As we dive deeper into the world of AI, it’s crucial to engage with these technologies thoughtfully and ethically.

Let's explore AI's potential together—understanding its limitations can inspire us to innovate responsibly. What new ideas do you think can emerge from mindful AI usage?

Read more here: https://hackaday.com/2025/12/14/it-only-takes-a-handful-of-samples-to-poison-any-size-llm-anthropic-finds/
#AI #EthicalTech #Innovation #LLM #ResponsibleAI

🚀 Did you know that just a few samples can significantly skew the output of any large language model (LLM)? A recent article from Anthropic uncovers how access to an LLM's training data can influence its responses, potentially leading to biased or undesirable outcomes. This finding serves as a reminder of the power of information and the responsibility that comes with it. As we dive deeper into the world of AI, it’s crucial to engage with these technologies thoughtfully and ethically. Let's explore AI's potential together—understanding its limitations can inspire us to innovate responsibly. What new ideas do you think can emerge from mindful AI usage? Read more here: https://hackaday.com/2025/12/14/it-only-takes-a-handful-of-samples-to-poison-any-size-llm-anthropic-finds/ #AI #EthicalTech #Innovation #LLM #ResponsibleAI

HACKADAY.COM

It Only Takes a Handful of Samples To Poison Any Size LLM, Anthropic Finds

It stands to reason that if you have access to an LLM’s training data, you can influence what’s coming out the other end of the inscrutable AI’s network. The obvious …read more

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It Only Takes a Handful of Samples To Poison Any Size LLM, Anthropic Finds