Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.| www.anthropic.com
A very strange conversation with the chatbot built into Microsoft’s search engine led to it declaring its love for me.| www.nytimes.com
As our ML models today become larger and their (pre-)training sets grow to inscrutable sizes, people are increasingly interested in the concept of machine unlearning to edit away undesired things like private data, stale knowledge, copyrighted materials, toxic/unsafe content, dangerous capabilities, and misinformation, without retraining models from scratch.| Ken Ziyu Liu - Stanford Computer Science
Art. 17 GDPRRight to erasure (‘right to be forgotten’) The data subject shall have the right to obtain from the controller the erasure of personal data concerning him or...| GDPR.eu
Also known as the right to erasure, the GDPR gives individuals the right to ask organizations to delete their personal data. But organizations don’t always have to do it....| GDPR.eu
A Blog post by Maxime Labonne on Hugging Face| huggingface.co
Building agents with LLM (large language model) as its core controller is a cool concept. Several proof-of-concepts demos, such as AutoGPT, GPT-Engineer and BabyAGI, serve as inspiring examples. The potentiality of LLM extends beyond generating well-written copies, stories, essays and programs; it can be framed as a powerful general problem solver. Agent System Overview In a LLM-powered autonomous agent system, LLM functions as the agent’s brain, complemented by several key components:| lilianweng.github.io