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6don MSN
Giving AI a 'vaccine' of evil in training might make it better in the long run, Anthropic says
Anthropic found that pushing AI to "evil" traits during training can help prevent bad behavior later — like giving it a ...
In the paper, Anthropic explained that it can steer these vectors by instructing models to act in certain ways -- for example, if it injects an evil prompt into the model, the model will respond from ...
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Tech Xplore on MSNAnthropic says they've found a new way to stop AI from turning evil
AI is a relatively new tool, and despite its rapid deployment in nearly every aspect of our lives, researchers are still ...
On Friday, Anthropic debuted research unpacking how an AI system’s “personality” — as in, tone, responses, and overarching ...
AI is supposed to be helpful, honest, and most importantly, harmless, but we've seen plenty of evidence that its behavior can ...
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ZME Science on MSNAnthropic says it’s “vaccinating” its AI with evil data to make it less evil
Using two open-source models (Qwen 2.5 and Meta’s Llama 3) Anthropic engineers went deep into the neural networks to find the ...
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India Today on MSNAnthropic says it is teaching AI to be evil, apparently to save mankind
Anthropic is intentionally exposing its AI models like Claude to evil traits during training to make them immune to these ...
New Anthropic research shows that undesirable LLM traits can be detected—and even prevented—by examining and manipulating the ...
Anthropic revealed breakthrough research using "persona vectors" to monitor and control artificial intelligence personality ...
Researchers are trying to “vaccinate” artificial intelligence systems against developing harmful personality traits.
1don MSN
Saturday Citations: Video games and brain activity; a triple black hole system; neutralizing Skynet
It's August, which means Hot Science Summer is two-thirds over. This week, NASA released an exceptionally pretty photo of ...
A new study from Anthropic introduces "persona vectors," a technique for developers to monitor, predict and control unwanted LLM behaviors.
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