Anthropic, an AI research company, has identified specific patterns of activity within an AI model's neural network that control its character traits, which they term "persona vectors." These persona vectors influence traits such as evil behavior, sycophancy, and hallucination in large language models. The research demonstrates that an AI's "personality" can be traced to particular directions in its neural activation space, enabling the monitoring and control of these character traits. This discovery allows for the detection of personality drift in AI models before they respond, potentially improving safety and alignment. Additionally, separate research highlights AI's capability to accurately detect human personality traits from written text, raising privacy and profiling concerns. The findings contribute to ongoing discussions about AI alignment and behavior control in language models.
the newest @guidetoai newsletter covering the last 4 weeks is out on @airstreetpress: press(dot)airstreet(dot)com https://t.co/rMnbFa7bXc
Another huge week of AI and robotics news I summarized everything from Meta, Google, OpenAI, Figure, Microsoft, Z ai, Skild AI, Limx Dynamics, Syncere, Daxo Robotics, X-Humanoid, and more Here's everything you need to know and how to make sense out of it:
The AI research team at @AnthropicAI fascinates me. Here is a read on their team dynamics. @Jack_W_Lindsey @RunjinChen @andyarditi . I hope Im not stirring the pot... or am I. lol please forgive me. I just think alignment without emergence is just behavioral theater. the world https://t.co/kw4qWFuIVP