Foresight: Your Hidden Superpower! (Interview Outline)

I have a new interview, Foresight: Your Hidden Superpower, (YouTubeSpotifyApple) with Nikola Danaylov of the Singularity Weblog. Nikola has done over 290 great interviews. They are a rich trove of future thinking and wisdom, with acceleration-aware folks like Ada Palmer, Melanie Mitchell, Cory Doctorow, Sir Martin Rees, Stuart Russell, Noam Chomsky, Marvin Minsky, Tim O’Reilly, and other luminaries. As with my first interview with him ten years ago, he asks great questions and shares many insights.

We cover a lot in 2 hrs and 20 mins. Below is an outline of a dozen key topics, for those who prefer to skim, or don’t have time to watch or listen:

  • We discuss humanity as being best defined by three very special things: Head (foresight) Hand (tool use) and Heart (prosociality). We talk about how these three things were critical to starting the human acceleration, with our first tool use (in cooperative groups), and why foresight, of all of these, is our greatest superpower. An author who really gets this view is the social activist David Goodhart. I recommend his book, below.
Goodhart, 2021
  • We discuss human society as an awesomely inventive and coopetitive network. We are selected by nature to try to cooperate first, and then compete second, within an agreed-upon and always improving set of network rules, norms, and ethics. What’s more, open, bottom-up empowering, democratic networks, like the ones we are seeing right now in the West’s fight in Ukraine, increasingly beat closed, top-down autocratic networks, the more transparent the world gets. We talk about lessons from the Ukrainian invasion for the West, Russia, and China.
  • We discuss why a decade of deep learning applications in AI gives us new evidence for the Natural Intelligence hypothesis, the old idea (see Gregory Bateson) that deep neuromimicry and biomimicry (embodied, self-replicating AI communities, under selection) will be necessary to get us to General AI, and is likely to be the only easily discoverable path to that highly adaptive future, given the strict limits of human minds.
  • We talk about what today’s deep learners are presently missing, including compositional logic, emotions, self- and world-models, and collective empathy, and ethics, and why the module-by-module emulation approach of DeepMind is a good way to keep building more useful, trustable AI. Mitchell Waldrop’s great article in PNASWhat are the limits of deep learning?, 2019 says more, for those interested.
  • We discuss the Natural Security hypothesis, that we’ll get security and goals alignment with our AIs in the same way we gained it with our domesticated animals, and with ourselves (we have self-domesticated over millennia). We will select for trustable, loyal AIs, just as we selected for trustable, loyal, people and animals. The future of AI security, in other words, is identical to the future of human security. We will need well-adapted networks to police the bad actors, both AI and people. Fortunately, network security grows with transparency, testing, proven past safe behavior, and perennial selection of safer, more aligned AIs. There is no engineering shortcut to natural security. I feel strongly that human beings are not smart enough to find one. For more on this, you may enjoy the work of the late, great biologist Rafe Sagarinsummarized for a Homeland Security audience in this slide below.
Natural Security. Learning How Nature Creates Security, in a Complex, Dangerous World
  • We talk about the philosophy of Evolutionary Development (Evo-devo, ED), which looks at all complex replicating systems as being driven by both evolutionary creativity and developmental constraint. We discuss why both processes appear to be baked in to the physics and informatics of our universe itself. Quantum physics, for example, tells us that if we act to determine the value of one variable at the quantum scale, the other becomes statistically uncertain. Both predictability and unpredictability are fundamental to our universe, and they worked together, somehow, to create life, with all its goals and aspirations. How awesome is that?
  • We describe how this evo-devo model of complex systems tells us that the three most fundamental types of foresight we can engage in are the “Three Ps”: thinking and feeling about our Probable, Possible, and Preferable futures. We explore why it is often best to make these three future assessments in this orderat first, in order to get to our most adaptive goals, strategy, and plans.
The Three Actors, Functions, and Goals of Evo-Devo Systems
  • We talk about how, unlike what many rationalists think, our universe is only partly logical, partly deterministic, and partly mathematical. Turing-complete processes like deduction and rationality can only take us so far. We actually depend the most on their opposite, induction, to continually make guesses as to the new rules, correlations, and order that are constantly emerging as complexity grows. What’s more, we use deduction and induction to do abduction, to create probabilistic models, and to analogize. Abduction is actually the most useful, high-value form of human thinking. Deduction and rationality are in perennial competition with induction and gut instinct, and the latter is usually more important. Both are critically necessary to doing better model making and visioning. If we live in an evo-devo universe, this will be true for our future AIs as well. It is always our vision, of both the preferred and the preventable future (protopias and dystopias) that helps or hurts us most of all.
  • We describe intelligence as being inherent in autopoesis (self-maintenance, self-creation, and self-replication). Any autopoetic system is going to have, by definition, both evolutionary and developmental dynamics. The system’s evolutionary (creative, unpredictable) mechanisms will guide its exploration, creativity, diversity, and experimentation. The developmental (conservative, predictable) mechanisms will guide its constraint, convergence, conservation, and replication, on a life cycle. The interaction of both dynamics, under selection, creates adaptive (evo-devo) intelligence. Intelligence, and consciousness, work to “knit together” these two, opposing dynamics, in an adaptive network. In my view, machines will need to become autopoetic themselves if they are to reach any generality of intelligence. A cognitive neuroscientist who largely shares this view is Danko Nikolic. His concept of practopoesis (though it does not yet include an evo-devo life cycle) is quite similar to my views on autopoesis. I recommend his 2017 paper on the design limits of current AI, in terms of levels of learning networks. I’ll explore his work in my next book, Big Picture Foresight.
  • We talk about today’s foresight, and how natural selection has wired us to continually predict, imagine, and preference milliseconds to minutes ahead. The better we get at today’s foresight, the better we get at short-term, mid-term, and long-term foresight. Today’s foresight, the realm of our present action, is both the easiest to improve and the most important to practice. I go into the psychology and practice of foresight in my new book, Introduction to Foresight, which we discuss in this interview. If you get a chance to look it over, please tell me what you think, and how I can improve. I greatly appreciate your feedback and reviews.
  • We also talk about a number of other future-important topics, including Predictive and Sentiment Contrasting, the Four Ps (our Modern Foresight Pyramid), Antiprediction Bias, Negativity Bias, why and how accelerating change occurs (Densification and Dematerialization), the Transcension HypothesisExistential Threats, why it makes sense to Delay Nuclear Power, to prevent a weapons proliferation dystopia (see my new Medium article on this topic), our potentially Childproof Universe, and the Timeline to the Singularity/GAI (2080, in my current guess).
  • My concluding message is that regardless of what you hear in the media (due to both negativity and antiprediction bias) our networked evo-devo future looks like it is going to be a lot more amazing and resilient than we expect, that in life’s history so far, well-built networks always win (and are immortal, unlike individuals) and that foresight is our greatest superpower. The more we practice it, the better our own lives and the world gets. Don’t believe me? Are you worried about tough, long-term global problems like climate change? Watch evidence-based, helpful, and aspirational videos like the one below, from Kurgesagt . Positive changes and great solutions are continually emerging in our global network. We all just need to better see those changes and solutions, so we can thrive. Never give up on evidence-seeking, hope, and vision!

To say this all more simply: #ForesightMatters!

NOTE: This article can also be found on my Medium page, the best place to leave comments and continue the discussion. This site has become a legacy site, because WordPress still doesn’t pay its authors, and it still has very primitive software. For example, all the formatting errors on this post do not show up in the edit window of their new Gutenberg editing software, after pasting in good code from Medium, and I have no idea how to fix them. Sorry!


John Smart is a global futurist and scholar of foresight process, science and technology, life sciences, and complex systems. CEO of Foresight University, he teaches and consults with industry, government, academic, and nonprofit clients. His new book, Introduction to Foresight, 2022, is available on Amazon.

Key Assumptions of the Transcension Hypothesis: Do Advanced Civilizations Leave Our Universe?

Low-mass X-ray binary (LMXRB) star system. Strange as it seems, Earth’s future may look something like this, with us inside a black hole-like environment of our creation, on a highly accelerated path to merging with other universal civilizations doing the same. If true, our destiny is density, and dematerialization.

This post is a followup to a popular paper of mine on three big topics: the Fermi paradox, accelerating change, and astrosociology (the nature and goals of advanced civilizations). The paper is called The transcension hypothesis: sufficiently advanced civilizations may invariably leave our universe, and implications for METI and SETI. It was published in Acta Astronautica in 2012.

Speculation on the Fermi paradox has grown considerably in the last two decades, as it has become increasingly obvious that we live in a universe that is very likely to be teeming with Earth-like planets, and also with intelligent, curious, and technologically accelerating forms of life. When we extrapolate our own accelerating progress in science, IT, and nantechnologies, we can imagine that any one of these civilizations could easily send out self-replicating nanotech that would spread across our Milky Way galaxy and beam the information that it finds out to the rest of the universe (or alternatively, just back to the originating civilization), creating a Galactic Internet, and making our universe as information-transparent as our planet is becoming today. Our galaxy has a radius of 100,000 light years. Replicating nanotech, traveling at just 5% of light speed, which we can imagine building even today, could reach all corners of our galaxy in 2 million years. So if other Earth-like planets and their intelligent life likely emerged, closer to the center of our galaxy, at least one billion years before ours did, as several astrobiologists have estimated, and any one of them could have easily expanded, why don’t we see any signs of this Galactic Internet today? Or signs of past alien visitation, probes, and megastructure beacons near Earth? Or signs of intelligent structures or civilizations anywhere in the night sky? In other words, Where is Everybody? That’s the Fermi paradox.

In a nutshell, the transcension hypothesis predicts constrained transcension of intelligence from the universe, rather than expansion (colonization) within the universe by intelligence, wherever it arises. If the hypothesis is correct, the reason we don’t see and haven’t heard from advanced civilizations anywhere is that the vast majority leave the visible universe as they develop, and the few that do not are very unlikely to be visible to us, with our presently weak SETI abilities. That’s a very strong claim. Could it be right?

My paper makes a series of assumptions about the nature and future of intelligent life in our universe. Most of these key assumptions may need to to be correct, in some fashion, for the hypothesis itself to be correct. A few colleagues have asked me to summarize these assumptions in one place, so here they are. This list is a good way to get a quick summary of the hypothesis as well.

Here are the key assumptions of the transcension hypothesis, as I presently see them:

  1. Intelligent life, on Earth and elsewhere in our universe, is not only evolving (diversifying, experimenting), but also developing (converging toward a particular set of future destinations, in form and function), in a manner in some ways similar to biological development. In other words, all civilizations in our universe are “evo-devo” both evolutionary and developmental. The phenomenon of convergent evolution tells us a lot about the way development may work on planetary scales. A kind of cosmic convergent evolution (universal development) must also exist at universal scales.
  2. The leading edge of intelligence always migrates its brains and bodies into increasingly dense, productive, miniaturized, accelerated, and efficient scales of Space, Time, Energy, and Matter (what I call STEM compression), because this is the best strategy to become the niche-dominant local intelligence (and for modern humans, Earth’s biosphere is one precious and indivisible niche), and because the special physics of our universe allows this continual migration into “nanospace“. Human brains with their thoughts, emotions, morality, and self- and social-consciousness, are the most STEM-compressed higher computational systems on Earth at present. But our biological brains are just now starting to get beat at the production of intelligence by deep learning computers, which are even more profoundly STEM-compressed in certain kinds of computation than neurons (for example, electrical interneuron communication in an artificial neural network is seven million times faster than chemical action potentials between biological neurons). Once today’s weakly bio-inspired machine intelligence becomes fully self-improving, it seem likely to continue growing and improving at rates that make biological intelligence appear rooted in spacetime by comparison, in the same way that Earth’s plant life appears rooted in spacetime by comparison to self-aware animal life. Fortunately, accelerating STEM-compression of both human civilization and of our leading computational technologies is stepwise measurable and testable, as argued in my paper. Our academics need better funding and training to do so, however. Measuring the STEM-efficiency growth of new computational platforms, like quantum computing, is today far more art than science.
  3. The acceleration of STEM compression must eventually stop, at structures analogous to black holes, which in current theories appear to be the most computationally accelerated and computationally efficient entities in the known  universe, an insight Seth Lloyd made in 2000 which remains widely underappreciated by most information, computation, and complexity theorists today. Fortunately, this idea of a developmental “black hole destiny” for civilization seems quite testable observationally via search for extraterrestrial intelligence (SETI), as argued in my paper.
  4. A civilization whose intelligence structures are compressed to scales far below the nanoscale may well be capable of creating or entering black-hole-like environments without their informational nature being destroyed. There are 25 orders of magnitude in size between atoms and the Planck scale. This is almost as large a size range as the 30 orders of magnitude presently inhabited by life on Earth. We simply don’t know yet whether intelligence can exist at those small scales. My bet is that it can, and that STEM compression drives leading universal intelligence there, as the fastest way to generate further intelligence, with the least need for local resources.
  5. Due to general relativity, extreme gravitational time dilation occurs very near the surface (event horizon) of black holes. Thus black holes, wherever they exist, can act as forward time travel devices, for any highly STEM compressed civilization that can arbitrarily closely approach their surface without destroying itself. Black-hole-like conditions are thus gateways to instantaneous meeting and merger with other unique civilizations in our universe within any gravity well. Our gravity well includes the Milky Way and Andromeda galaxies, each of which is destined to merge all its black holes, and each of which may contain millions of intelligent civilizations. The rest of our universe is accelerating away from us, due to dark energy. Perhaps the vast majority of black holes in these galaxies (billions?) are unintelligent collapsed stars. But if the transcension hypothesis holds, some smaller number (millions?) may also be a product of intelligent civilizations.
  6. As local acceleration of STEM compression stops, the more black-hole-like we become, local learning will saturate. Local intelligence will be running as fast as it can in this universe, yet it will be both resource and speed constrained. It’s local conditions, in other words, will be increasingly boring and predictable. It will be, from its own reference frame, at “The End of Science”, the end of what it can easily learn and know, to use the title of the elegant and profound book The End of Science (1996/2015) by science writer John Horgan. In those interesting conditions, it may irresistable to slow down local time via black hole entry, and thus simultaneously accelerate nonlocal time, making meeting and merger with other civilizations near-instantaneous. In “normal” universal time, galactic black holes are predicted to merge some tens to hundreds of billions of years from now, as our universe dies. But from each black hole’s reference frame,  this merger is near-instantaneous We can think of black holes as shortcuts through spacetime, just like quantum computers are shortcuts through spacetime. Indeed, quantum physics and black holes (relativity) must eventually be both evo (chaotically) and devo (causally) connected, both physically and informationally, in any future theory of quantum gravity. If some type of hyperspace, extradimensionality, or wormhole-like physics is possible, there might also be ways of future humanity instantaneously meeting civilizations beyond our two local galaxies. But such exotic physics is not necessary for our local gravity well, and for all other civilizations in their own galactic gravity wells. Standard relativity predicts that if we can survive in black-hole-like densities, and if our galaxies are life and intelligence-fecund, we will meet and merge with potentially millions of civilizations as soon as we approach the surface of any black hole, from our reference frame. In other words, our universe appears to have both “transcension physics” and massive parallelism of intelligence experiments built into its relativistic topology and large scale structure.
  7. If we live in not only a developmental universe, but an evolutionary one, each local universal civilization can never be God-like, but must instead be computationally incomplete, an evolutionary “experiment” with its own own unique discoveries and views on the meaning and purpose of life. Thus each civilization, no matter how advanced, would be expected to have useful computational differences, and be able to learn useful things, from every other civilization. In such a universe, we would greatly value communication, assuming that we could trust the other advanced civilizations that we might communicate with. Computational incompleteness would also make us increasing value simulation over physical experimentation, the more complex intelligence becomes. The better faster, better, and more resource (STEM) efficient models of our physical world get, the more we choose virtual rather than physical experiments to address perennial incompleteness in our intelligence.
  8. If not only intelligence, but also immunity (stability, antifragility) and morality grow in leading intelligences in our universe, in rough proportion to their complexity, in other words, if these three life-critical systems are each not only evolutionary, but also developmental, and thus their emergent form and function is at least partly encoded in the “genes” (initial conditions, laws, and environmental constraints) of the system itself, then we can predict that more advanced intelligences, including our coming deep learning computers, will be not only more intelligent, but also more immune and moral than we are today. This idea is called developmental immunity and developmental morality, and I explore it in my paper, Evo-Devo Universe? (2008). If these developmental processes exist, they tell us something about the nature of postbiological life. Such life is going to be a whole lot more collaboration-oriented, intelligence-oriented, immune, and moral than we are today. Social morality, for its part, pushes complex intelligences toward a more ethical impact on the world and each of its sentiences. Decreasing violence has been a mild trend in human societies in recent centuries, as documented in Pinker’s The Better Angels of Our Nature, 2011. But I expect it to be a much stronger trend in postbiological intelligences. Physicists Stephen Dick and Seth Shostak have stressed the importance of thinking hard about the norms and morality of postbiological culture. It’s a big assumption that surviving human and machine collectives must on average become increasingly intelligent, immune, and moral in proportion to their cognitive complexity, under natural processes of evolutionary selection and development, but this is where all the evidence seems to be leading, in my view.
  9. In a universe with developmental immunity and morality, a moral prime directive must emerge, a directive to keep each local civilization evolving in a way that maximizes its intelligence, uniqueness and adaptiveness prior to transcension. That means one-way messaging (powerful METI beacons), self-replicating probes able to interact with less advanced civilizations, and any other kind of galactic colonization would both be ethically prohibited by postbiological life, due to the great reduction in evolutionary diversity that would occur. Wherever it happened, we would meet informational clones of ourselves after transcension, a most undesirable outcome. In biology, evolution keeps clonality a very rare outcome, due to the diversity and adaptiveness cost that it levies on the progeny. In such an environment, any future biological humans that wanted to continue to colonize the stars would be prevented from doing so, by much more ethical and universe-oriented postbiological intelligences. That is assuming biological organisms even continue to be around after postbiological life emerges. Due to STEM compression, their status as biologicals would likely be vanishing short, once they invent technology capable of colonization. It seems much more likely that biology develops into postbiology, relatively soon (just a few centuries perhaps) after digital computers emerge, everywhere in the universe. This outcome also seems likely to be testable via future information theory and SETI, as I argue in my paper.
  10. Some physicists, most notably Lee Smolin in his hypothesis of cosmological natural selection, propose that black holes may be “seeds” or “replicators” for new universes. That gives us a clue to what we might do after we meet up with other cosmic intelligences. We would likely compare and contrast what we’ve learned, and then seek to make a better and more adaptive universe (or universes) in the next replication. Current physics and computation theory suggest that our universe, though vast, is both finite and computationally incomplete. It may have gained its current amazing levels of internal complexity in the same way life on Earth got its amazing living complexity, via evolutionary and developmental (“evo-devo“) self-organization, through many past replications, in some kind of selection environment, a “multiverse” or “hyperverse.”
  11. If all of this is roughly correct, our future isn’t outer space, it’s “inner space.” Both the inner space of black-hole like domains, and the inner space of increasingly virtual and computational domains. The lure of our continually improving inner space is why 21st century folks spend so much time (too much time!) interacting with our still-dumb mobile devices today. It is why the growth of virtual and augmented reality heralds far more than just better entertainment experiences. Combined with the growth of machine learning, virtual/augmented reality will increasingly become the thinking, imagination, and simulation space for eventual postbiological life. Virtual space is where intelligent machines will figure out what they want to do in physical space, just as our own simulating brains are biology’s virtual reality. And just like humans have have done as our civilization has developed, future machines will do more and more internalization, or thinking in virtual space, and less and less external acting, in physical space, the more intelligent they get. This internalization process has a name. It’s called dematerialization (both economic dematerialization and product and process dematerialization), the substitution of information and computation for physical products, processes, and behaviors. The futurist Buckminster Fuller called this process ephemeralization. But ephemeralization of intelligence is only half the story. It describes dematerialization, not densification. If the transcension hypothesis is true, the developmental destiny of all complex life is both accelerating “densification” (eventually to a black hole-like state) and “dematerialization” (becoming increasingly informational and virtual, over time). See my online book, The Foresight Guide, for more on these planetary megatrends, densification and dematerialization (“D&D”) and how they appear to drive universal accelerating change. 

As Fermi paradox scholar Stephen Webb says at his blog, this is quite a lot of “ifs!” Disproving any of these assumptions would be a good way to start knocking aspects of the transcension hypothesis out of contention. We would learn a lot about ourselves and the universe in the process, so I really hope that each of these gets challenged in coming years, as the hypothesis gets further exposure and critique.

Webb is the author of Where is Everybody?2015, a book that offers seventy-five possible solutions to the Fermi Paradox. Webb did a great job condensing the transcension hypothesis into just three pages in his book. His 2002 edition didn’t include it, as I published my first paper on the hypothesis in mid-2002. At Webb’s blog, he charitably says the transcension hypothesis is “one of the most intriguing” possible solutions that he has seen. He also observes that “Unlike so many “solutions” to the Fermi paradox, this one offers avenues for further research.” It certainly does, which is why I hope it continues to gain scrutiny and critique.

A few scholars are now citing the transcension hypothesis in their academic papers on the Fermi paradox and accelerating change, including Sandberg 2010, Flores Martinez 2014, and Conway Morris 2016. I am hoping that trend continues. The more attention it gets, the more critique it will get.

Perhaps the strangest and hardest-to-believe part of the transcension hypothesis, for many, is the idea of universal development. It is particularly relevant to the first, seventh, eighth, and ninth assumptions above. The most amazing and odds-defying thing I’ve come across in my own study of the natural world so far is the process of biological development. Most people don’t think about both how wonderful and how improbable, on its face, is the process of organismic development.

Think about it. Development is guided by a small handful of genes in our genome. It’s incredible that it works, yet it does, and it made you! Development is a good candidate for the most incredible process in the known universe. In many ways, development is even more surprising than evolution, which I define as the set of biological genes and mechanisms that create unpredictable experiment and variety, as opposed to that small subset of chaos-reducing biological genes and mechanisms that statistically guarantee a hierarchical set of future-specific forms and functions. Standard evolutionary theory requires development as an organismic process, yet it also treats development as subservient to the variety-generating processes in natural selection. That model is only half-correct, in my view.

Fortunately, a growing contingent of evo-devo biologists argue that development’s long-range role in constraining the possibilities of evolutionary change may be equally important to evolution’s long-range impact on development. Both processes seem fundamental to mature theory of adaptation. Ecologists have published good work on the way ecosystem development limits the future of evolutionary processes. For example, think of ecological succession, in which increasing senescence of the ecosystem limits short-term evolutionary variety, while also making the oldest parts of the system increasingly vulnerable to death (and renewal). Think also of niche construction, which tells us how growing intelligence, which we use to fashion comfortable niches, limits the future selection placed upon us by our environment. Scholars of convergent evolution also describe apparently universal processes of morphological and functional development that will constrain evolutionary possibilities on all Earth-like planets. Cosmologists who take fine-tuned universe arguments seriously also talk about both local variety and processes of universal development, though they don’t often use that clarifying phrase, when they describe physical and chemical constraints on the possibilities of evolutionary change. All these are important clues toward a meta-Darwinian, evo-devo universe paradigm of universal change.

In short, if our universe actually replicates, as seems plausible in several cosmology theories, and if it exists in some kind of larger selection environment, as also seems plausible, then not only evolution, but development (“convergent evolution”) must also occur not just in species forms and ecosystems, but for our increasingly intelligent planet, as a developing life-human-machine “Global Superorganism”, and for our entire universe itself, as a replicator in the multiverse. Certain aspects of the future of complex systems must be statistically highly biased to converge on particular destinations, and today’s evolution-centric science still has a lot of growing up still to do in order to see these destinations. It needs to become “evo-devo”, seeing the contributions of both evolution and development to the future of universal complexity.

The paper’s second key assumption, STEM compression is more palatable to most people, in my experience, and may turn out to be the most enduring contribution of the paper, even if the rest of the hypothesis is eventually invalidated. If you’ve heard of nanotechnology, you know that life’s leading edge today, humanity, is doing everything it can to move our complexity and computation down the smallest scales we can. We have been very successful at this shrinking over the last several hundred years, and our ability to miniaturize and control processes at both atomic and subatomic scales is growing exponentially. In fact, human brains themselves are already vastly denser, more efficient, and more miniaturized computational devices than any living thing that has gone before them. But they are positively gargantuan compared to the intelligent computing devices that are coming next.

Fortunately I think each of the key assumptions outlined above are testable, though some are obviously more testable than others in today’s early stages of astrophysical theory, SETI ability, information, complexity, and evo-devo theory, and simulation capacity. If anyone is doing work that might shed light on any of these assumptions, I would love to hear of it.

You can find my paper here: The Transcension Hypothesis, 2012. See also this fun 2 minute YouTube video of the hypothesis, by the inspiring futurist Jason Silva and Kathleen Lakey, which has raised its visibility in recent years.

You can find an overview of the evo-devo (evolutionary and developmental) universe hypothesis in my chapter-length article, Evo-Devo Universe? A Framework for Speculations on Cosmic Culture, 2008.

Comments? Critiques? Feedback is always appreciated, thanks.

Your Personal Sim: Pt 4 — Deep Agents (Grokking Deep Learning/Natural Intelligence)

The Brave New World of Smart Agents and their Data

A Multi-Part Series

Part 1 — Your Attention Please
Part 2 — Why Agents Matter
Part 3 — The Agent Environment
Part 4 — Deep Agents (this post)
Part 5—Deep Training

More soon…
For series email reminders, enter your email address at ForesightU.com.

deeplearning

Why will our smart agents and sims soon become as indispensible as the web and our smartphones are today? Why will we think of our sims as “our better selves” by 2030? To understand this key aspect of our global future, our next two posts will take a deep look at deep learning, a new paradigm of not only machine learning, but of future computer development.

These two will be long posts, but they are about the technology behind the greatest story of our collective future, the advent of machines that think and feel like us, so I make no apologies for their length. Plenty of people will write the short versions. But there are many doubts and misconceptions on these topics, so the length will hopefully clear up a few of both.

There are also some rewards at the end, to make up for this post’s length. The first reward is the “Mind Meld” (aka, “Merging With our Sims”, or “Slippery Singularity”) prediction. This is a big reward, as it explores how humanity will use deep learning to solve the greatest tragedy presently inflicting our planet — the inevitable death of each and every one of us, due to the disposable nature of human biology. I think this mind meld future is inevitable, and when it comes later this century, hundreds of millions of us, at the very least, will use it to move easily into postbiology as our biological bodies age and die.

Once mind melding happens at scale, and we see that it works, cultures everywhere will stop pretending that human mental death is a good thing, and we’ll upgrade our religious faiths (which will never go away) to be consistent with a new world of indefinite human lifespan, for all who desire it. The second reward is more prosaic, some powerful investment tips you can implement today in the Calls to Action at the end.

The Rest of this Post (on Medium)

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