Large language models (LLMs) such as ChatGPT are surprisingly good, but they can’t expand human knowledge because they only interpolate existing information already on the internet. To create new knowledge and solve problems that no human has ever solved, AI needs to be adaptively embodied and be able to build causal models of the world. …
The top 30 books to expand the capabilities of AI: a biased reading list Read More »
Reinforcement learning (RL) is an effective method for solving problems that require agents to learn the best way to act in complex environments. RLlib is a powerful tool for applying reinforcement learning to problems where there are multiple agents or when agents must take on multiple roles. There are many of resources for learning about …
RLlib for Deep Hierarchical Multiagent Reinforcement Learning Read More »
Our principal scientist Jonathan Mugan gave the keynote at Data Day Texas! His talk was about how we can get to strong AI. Here are the slides data_day_path_to_strong_ai
Our thoughts are our experience in this world, and our worries, memories, and plans are the only real testimony to our existence. Moment by moment, it feels like we are thinking about what’s naturally important, but in reality we each focus only on a minuscule subset. Equally surprising is that we dwell on different subsets …
Introducing ThoughtLog: The Free Automatic Diary Read More »
Microsoft Flight Simulator (MSFS) 2020 doesn’t just feel real; it almost is real. You see the same objects and relationships when you look out the window that you would see out of a physical plane. Down there are your own cities and streets, and you can even fly into a live hurricane [1]. Because of …
Microsoft Flight Simulator 2020 is an inflection point for virtual worlds and our own Read More »
Dr. Mugan talks about what it will take to build real AI. You can listen to the interview here https://brainsbehind.ai/1-deumbra-jonathan-mugan-on-developing-robots-who-understand-our-world-the-way-human-children-do/.
Computers are illiterate. Reading requires mapping the words on a page to shared concepts in our culture and commonsense understanding, and writing requires mapping those shared concepts into other words on a page. We currently don’t know how to endow computers with a conceptual system rich enough to represent even what a small child knows, …
Generating Natural-Language Text with Neural Networks Read More »
President Nixon declared the war on drugs in 1971. Drug overdoses are now the leading cause of death for people under the age of 50, with opioids accounting for most of the devastation. Can data science help? Data can provide hints about underlying truths, but it is not immediately clear how it can be applied …
How we can use data to address the opioid epidemic Read More »
We want to know the present so that we can predict the future. When the ability to predict exceeds inferences that can be made with commonly accessible information, we call it precognition. The idea of precognition was made salient by the 2002 movie Minority Report. In that movie, there is a scene where one of …
Cyber systems need intelligent defenses, and they are currently lacking. We have rote rules that specify how to protect our systems, but these rules can only protect against known attacks. We have methods for looking for unusual events, but these methods lack context and flag too many innocuous events as threatening. We even have machine …
