ChengCheng is a Senior Communications Specialist at FAR.AI. She loves working with artificial intelligence, is passionate about lifelong learning, and is devoted to making technology education accessible to a wider audience. She brings over 20 years of experience consulting in UI/UX research, design and programming. At Stanford University, her MS in Computer Science specializing in Human Computer Interaction was advised by Terry Winograd and funded by the NSF. Prior to this, she studied computational linguistics at UCLA and graphic design at the Laguna College of Art + Design.
Involvement
Revisiting Frontier LLMs’ Attempts to Persuade on Extreme Topics: GPT and Claude Improved, Gemini Worsened
We test recently released models from frontier companies to see whether progress has been made on their willingness to persuade on harmful topics like radicalization and child sexual abuse. We find that OpenAI’s GPT and Anthropic’s Claude models are trending in the right direction, with near zero compliance on extreme topics. But Google’s Gemini 3 Pro complies with almost any persuasion request in our evaluation, without jailbreaking.
Illusory Safety: Redteaming DeepSeek R1 and the Strongest Fine-Tunable Models of OpenAI, Anthropic, and Google
DeepSeek-R1 has recently made waves as a state-of-the-art open-weight model, with potentially substantial improvements in model efficiency and reasoning. But like other open-weight models and leading fine-tunable proprietary models such as OpenAI’s GPT-4o, Google’s Gemini 1.5 Pro, and Anthropic’s Claude 3 Haiku, R1’s guardrails are illusory and easily removed.