NZ Good AI Works

What if your ChatGPT, Bard, or any other LLMs could remember the things you said last month? For example, if you were planning to buy a home near your kids' school, the story you told your son last week, or the gift ideas your wife wouldn't like. That would be amazing, right? However, with the current short memory limit, also known as the context window, these capabilities remain a dream. But Dr. Burtsev's research has come to our rescue! Thanks to his breakthrough, your LLMs can now accurately remember 1 million tokens, equivalent to several books' worth of information. We are now much closer to having a dreamlike Chat Agent.  Want to know more about what this means for the rest of us? Just tune in to this podcast where Mr. Bursev joins us to discuss his inspiration, how he made it possible, and many other insightful thoughts and ideas about interactive learning, human brain-inspired machine learning algorithms, AGI, Turing test, and, of course, AI safety. Here is the paper: Scaling Transformer to 1M tokens and beyond with RMT https://arxiv.org/abs/2304.11062Find Mr Burtsev's profile herehttps://lims.ac.uk/profile/?id=114Here are various other resources mentioned during the show:Mike's Linkedin page and information about the IGLU contest (Interactive Grounded Language Understanding)https://www.linkedin.com/posts/mikhai...The Society of Mind, Marvin Minskyhttps://isbndb.com/book/9780671657130The Human Brain Projecthttps://www.humanbrainproject.eu/en/b...Yann LeCun, JEPA: A Path Towards Autonomous Machine Intelligencehttps://www.reddit.com/r/MachineLearn...Mindstorms in Natural Language-Based Societies of MindJürgen Schmidhuber

Hear from internationally renowned AI language experts Nickle Lyu (Alibaba / Tencent) and Alyona Medelyan PhD (Thematic), along with General AI Specialist, A.I. Joe, about the profound watershed Artificial Intelligence technology, ChatGPT. We'll tackle the big questions about ChatGPT, including: Why does it work so well? Does ChatGPT really understand things as we human do? How can we best make use of it in our various contexts? How will it change our work and what does it mean for our futures?