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Traditional computer programs rely on logic that is cut and dried; they therefore can only process a subset of our fluid world. But with the introduction of Large Language Models (LLMs), computers can now make “good enough” decisions in ambiguous contexts, like humans can, by using judgment. Having judgment means that programs are no longer ...

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. ...

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 ...

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 ...

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 ...

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, ...

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 ...