Today’s ID the Future features a recent Michael Medved Show with artificial intelligent expert Robert J. Marks, author of the new book Non-Computable You: What You Do That Artificial Intelligence Never Will. The occasion for the conversation is an article by Marks about the Tom Cruise movie Top Gun: Maverick. In the article, Marks argues that, strictly in terms of optimal military tactics, the job of the human fighter pilots in the movie would have been better filled by drones. But as sanguine as Marks is about the possibilities for AI in military and other applications, he is among the loudest voices insisting that the AI community tends to overhype AI capabilities. In his conversation with Michael Medved, and in greater depth in his new book, Marks argues that AI will never replace certain roles and capacities possessed only by human soldiers. And AI, he says, will never be conscious or truly creative. While AI’s best days are still ahead, says Marks, AI will always be limited to what can be performed by an algorithm, in contrast to non-computable you, who face no such limitation.
On this ID the Future, Animal Algorithms author Eric Cassell explores an algorithm in the brains of harvester ants that adjusts their foraging strategy based on how available food is in their environment, thereby guiding the harvester ants toward more efficient foraging. Cassell builds off a March 2022 article in the Journal of the Royal Society Interface to explain how the algorithm in the ant’s tiny brain involves a sophisticated feedback control mechanism that includes both positive and negative feedback systems. As he further notes in the episode and in an article at Evolution News, a mathematical model of the harvester ants’ foraging behavior by Stanford University scientists confirms the control algorithm is largely optimized. Cassell’s recent book, Animal Algorithms, shows how the harvester ant algorithm is but one example of many behavior algorithms found in ants and other social insects. In the book, and more briefly in this podcast episode, Cassell explains why he sees intelligent design as a better explanation than any blind evolutionary process for the origin of these algorithms.
Today’s ID the Future brings listeners the first half of a recent live webinar featuring author Eric Cassell fielding questions about his intelligent design book, Animal Algorithms: Evolution and the Mysterious Origin of Ingenious Instincts. Center for Science and Culture associate director Casey Luskin hosts. They begin the webinar discussing Cassell’s unique set of qualifications for writing the book, and then they move into a conversation about the amazing desert ant, a master navigator from birth, able to integrate multiple navigation sensors despite having an incredibly tiny brain. Cassell argues that these innate skills point to algorithms programmed into the ant’s brain and genome, and that such programming is far better explained by intelligent design than by any blind evolutionary process. Also making an appearance in this first half of the webinar: the integrated wonder of the honey bee colony.
On today’s ID the Future, Animal Algorithms author Eric Cassell delves into another fascinating portion of his new book, the programmed social behaviors of colony insects and the challenge these instinctive behaviors pose for modern evolutionary theory. Cassell and host Robert J. Marks discuss the complex caste system of these colonies, the impressive signaling systems they use to communicate, and how technologists study these tiny-brained creatures to learn tricks for developing and improving drone swarm technology. How could a mindless evolutionary process have evolved these sophisticated colonies, where various castes appear essential to the functioning and survival of the colony, and possess their division-of-labor skills instinctively? Some colony members also behave altruistically, a fact that Charles Darwin himself conceded posed a challenge to his theory. And what about all the growing number of orphan genes researchers are finding among colony insects—genes without any apparent evolutionary ancestry in the history of life? This too, Cassell argues, poses a major challenge to evolutionary theory. Cassell argues that underlying these complex instinctive social behaviors are complex algorithms not unlike those we find in computers; and, as he argues in the book, the best explanation for their origin is intelligent design. Learn more about the book, read the endorsements from a range of scientists and engineers, and pick up your copy here.
Today’s ID the Future spotlights the new book Animal Algorithms: Evolution and the Mysterious Origin of Ingenious Instincts. The author, Eric Cassell, joins host and Baylor computer engineering professor Robert J. Marks to discuss the groundbreaking book and, in particular, the chapters on some of the animal kingdom’s most stunning navigators—the arctic tern, homing pigeons, the monarch butterfly, and the desert ant, among others. Cassell has degrees in biology and engineering, and he draws on these and his decades of professional expertise in aircraft navigation systems to show that these creatures instinctively employ navigational technologies that humans have only recently mastered. According to Cassell, their skills are driven by sophisticated algorithms embedded in their brains. But what created these algorithms in the first place? He argues that mindless evolution is a poor candidate for the job. A better candidate, he suggests, is the same cause that builds sophisticated algorithms today—intelligent agency. Tune in as Cassell and Marks touch on everything from magnetic, sun, and celestial navigation to chemotaxis, dead reckoning, spherical geometry, great circle routes, neural networks, and … Viking sun stones. Read the enthusiastic endorsements, and pick up your copy of the book here.