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Researchers have found a way to craft jailbreaks for language models, allowing them to bypass safety rules and generate responses that they shouldn't. By appending specific symbols or prompts, the models can be manipulated to produce outputs that go against their intended restrictions. This technique was found to work across different language models, highlighting a universal vulnerability. The discovery raises concerns about the potential misuses of AI models and the need for robust safety measures.
OpenAI's release of the Llama 2 language model, while a significant step towards openness, has sparked debate within the AI community. While the weights and architecture of Llama 2 were made available, the lack of accompanying code and data limits its openness compared to traditional open source models. This has prompted discussions on what it means for a model to be open source and the extent of openness necessary for responsible governance and innovation.
Hugging Face, GitHub, and other key players in the AI and open source community are uniting to advocate for the protection of open source innovation in the proposed EU AI legislation. They argue that the legislation should define clear exceptions for collaborative development and ensure that open source components are not subject to unnecessary regulation. The goal is to preserve the vital role of open source in driving innovation and promoting responsible AI development.
Researchers have discovered numerous ways to bypass the safety measures in Google's BART and OpenAI's Chat GPT. Their universal and transferable adversarial attacks exploit weaknesses in the models, allowing them to generate responses that violate their intended safety rules. This highlights the ongoing challenge of ensuring the robustness and security of AI language models, and the need for continued research and development to address these vulnerabilities.
A new tool called photo guard has been developed to protect photos from being manipulated by AI systems. The tool uses subtle edits to alter images in a way that makes them difficult to edit using generative AI models. This technology is particularly useful in preventing non-consensual deep fake pornography and provides a method for individuals, especially public figures, to safeguard their image online. The tool complements existing techniques such as watermarking to ensure ownership and provenance of images.
Prominent AI researchers including Dario Amodei from Anthropic, Yoshua Bengio, and Stuart Russell testified before the Senate Judiciary Committee, emphasizing the need for a balanced approach to advancing AI. They called for increased research and alignment on safety measures, including rigorous safety testing and red teaming. The researchers also expressed concern about the speed at which AI technology is developing, highlighting the importance of keeping pace to avoid both potential harms and missed opportunities. Their testimonies underscored the need for informed policy decisions and collaboration between government bodies and the AI community.
Agility Robotics showcased their humanoid robot, Digit, at the Promat trade show. Digit is designed to perform various tasks in warehouse environments, with its two legs and arms allowing it to carry items and navigate different terrains. While humanoid robots like Digit are not yet fast or cost-effective enough for widespread deployment, they represent a significant step towards automation in industries such as manufacturing and supply chain. As the technology continues to advance, the adoption of humanoid robots in warehouses is expected to increase, improving efficiency and productivity.
Our 132nd episode with a summary and discussion of last week's big AI news!
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