Despite the hype regarding the seemingly infinite possibilities surrounding AI technology, artificial intelligence still has a number of humbling hurtles to overcome. Justin Bui and Samuel Haug join Robert J. Marks to discuss the latest developments in artificial intelligence. Show Notes 00:00:56 | The Homunculus 00:04:09 | Introducing Justin Bui 00:06:54 | Fast AI 00:13:45 | Deepfake Technology 00:21:40 | Read More ›
In the first part of podcast Episode 161, “Bad news for artificial general intelligence”, Robert J. Marks and colleagues Justin Bui and Sam Haug from his research group at Baylor University looked at a fundamental reality of complex systems: Complexity adds but its problems multiply. More advanced AI would be faster but capable of bigger and more complex goofs. That leads to the world of knowns and unknowns and the Pareto tradeoffs that enable us to make decisions about artificial intelligence. So now Dr. Marks begins by asking about the late Donald Rumsfeld‘s notion of the knowns and unknowns: https://episodes.castos.com/mindmatters/34ccf6d5-16b1-4de8-8a69-9737d78ba4b4-Mind-Matters-Episode-161-Haug-and-Bui-Episode-3-rev1.mp3 This portion begins at 15:15 min. A partial transcript and notes, Show Notes, and Additional Resources follow. Sam Haug: This Read More ›
In “Bad news for artificial general intelligence” (podcast Episode 160), Justin Bui and Sam Haug from Robert J. Marks’s research group at Baylor University joined him for a look at how AI can go wrong — whether it’s an inconsequential hot weather story or imminent nuclear doom. Now, in Episode 161, they start by unpacking the significance of an ominous fact: When we increase complexity by adding things, we multiply the chances of things going wrong. Never mind getting an advanced machine to solve all our problems; it can’t solve its own: A partial transcript and notes, Show Notes, and Additional Resources follow. Robert J. Marks: I recently vetoed a family member’s suggestion that we put a lock on our Read More ›
Even if artificial general intelligence (AGI) could be achieved, a problem looms: The more complex a system is, the more can go wrong. If a computer could really match human thinking, a great deal could go wrong. In “When AI goes wrong” (podcast 160), Walter Bradley Center director Robert J. Marks is joined once again by members of his research group, Justin Bui and Samuel Haug, who is a PhD student in computer and electrical engineering. The topic is, what happens if AI starts behaving in bizarre and unpredictable ways? https://episodes.castos.com/mindmatters/f5d26d44-cb33-4736-bc75-f95bd8f3ae5f-Mind-Matters-Episode-160-Haug-and-Bui-Episode-2-rev1.mp3 A partial transcript and notes, Show Notes, and Additional Resources follow. Robert J. Marks: Okay. I want to start out with Paul Harvey’s The Rest of the Story. Either Read More ›
In a recent Mind Matters podcast, “Artificial General Intelligence: the Modern Homunculus,” Walter Bradley Center director Robert J. Marks, a computer engineering prof, spoke with Justin Bui from his own research group at Baylor University in Texas about what’s happening — and isn’t happening — in artificial intelligence today. The big story turned out to be all the free software you can use to advance your own projects. This time out, Dr. Bui focuses on what open source (free) Kaggle software can do for you, including competitons. Call it science non-fiction, if you like… https://episodes.castos.com/mindmatters/d4505b4a-de80-40ae-a56c-2636563f3453-Mind-Matters-Episode-159-Justin-Bui-Episode-1-rev1.mp3 This portion begins at 12:58 min. A partial transcript and notes, Show Notes, and Additional Resources follow. Justin Bui: Kaggle is owned by Google; I Read More ›
In a recent Mind Matters podcast, “Artificial General Intelligence: the Modern Homunculus,” Walter Bradley Center director Robert J. Marks, a and computer engineering prof, spoke with Justin Bui from his own research group at Baylor University in Texas on what is — and isn’t — really happening in artificial intelligence today. Some of the more far-fetched claims remind Dr. Marks of the homunculus, the “little man” of alchemy. So what are the AI engineers really doing and how do they do it? Call it science non-fiction, if you like… https://episodes.castos.com/mindmatters/d4505b4a-de80-40ae-a56c-2636563f3453-Mind-Matters-Episode-159-Justin-Bui-Episode-1-rev1.mp3 This portion begins at 00:44 sec. A partial transcript and notes, Show Notes, and Additional Resources follow. Robert J. Marks: Isaac Newton was the genius who founded classical physics. He Read More ›
The problem with complex systems is that a lot can go wrong. It turns out that the number of potential problems grows exponentially as you add more factors to a system. Justin Bui and Samuel Haug discuss contingencies and artificial general intelligence with Robert J. Marks. Show Notes Additional Resources
AI must do what it is designed to do, but what if it doesn’t? What if AI begins behaving in bizarre and unpredictable ways? The more complex the system, the more that it can go wrong. Robert J. Marks discusses artificial general intelligence (AGI) with Justin Bui and Samuel Haug. Show Notes 00:37 | Introducing Justin Bui and Samuel Haug Read More ›
A homunculus is a little person created in a test tube. There was a time when some of the most prominent scientists in the world believed they could create miniature life in the lab. But while the search for homunculus has long since ended, there are some who believe they can find a similar kind of life through artificial general Read More ›