Tag: Ramez Naam
If you are a movie producer and you want to actually make an AI movie that helps people really understand one of the paths we could find ourselves going down in the next decade, read vN: The First Machine Dynasty by Madeline Ashby.
I’ve read a lot of sci-fi in the past few years that involves AI. William Hertling is my favorite writer in this domain right now (Ramez Naam is an extremely close second) although his newest book – Kill Process (which is about to be released) is a departure from AI for him (even though it’s not AI it’s amazing, so you should read it also).
I can’t remember who recommended Madeline Ashby and vN to me but I’ve been enjoying it on Audible over the past month while I’ve been running. I finished it today and had the “yup – this was great” reaction.
It’s an extremely uncomfortable book. I’ve been pondering the massive challenge we are going to have as a mixed society (non-augmented humans, augmented humans, and machines) for a while and this is the first book that I’ve read that feels like it could take place today. Ashby wrote this book in 2012 before the phrase AI got trendy again and I love that she refers to the machines as vNs (named after Von Neumann, with a delicious twist on the idea of a version number.)
I found the human / vN (organic / synthetic) sex dynamic to be overwhelming at times but a critically important underpinning of one of the major threads of the book. The mixed human / vN relationships, including those involved parenting vN children, had similar qualities to some of what I’ve read around racially mixed, religiously mixed, and same-sex parents.
I’ve hypothesized that the greatest human rights issue our species will face in the next 30 years is what it actually means to be human, and whether that means you should be treated differently, which traces back to Asimov’s three laws of robotics. Ashley’s concept of a Fail Safe, and the failure of the Fail Safe is a key part of this as it marks the moment when human control over the machines’ behavior fails. This happens through a variety of methods, including reprogramming, iterating (self-replication), and absorption of code through consuming other synthetic material (e.g. vN body parts, or even the entire vN.)
And then it starts to get complicated.
I’m going for a two hour run this morning so I’ll definitely get into the sequel, iD: The Second Machine Dynasty.
The 2015 Defrag Conference is happening on November 11-12. Early bird pricing ends tomorrow.
For a taste of what you’ll get if you attend, following is a guest post by Ramez Naam, the author of 5 books including the award-winning Nexus trilogy of sci-fi novels. I’m a huge fan of Ramez and his books – they are in my must read near term sci-fi category.
A shorter version of this article first appeared at TechCrunch. The tech has advanced, even since then.
The final frontier of the digital technology is integrating into your own brain. DARPA wants to go there. Scientists want to go there. Entrepreneurs want to go there. And increasingly, it looks like it’s possible.
You’ve probably read bits and pieces about brain implants and prosthesis. Let me give you the big picture.
Neural implants could accomplish things no external interface could: Virtual and augmented reality with all five senses; Augmentation of human memory, attention, and learning speed; Even multi-sense telepathy – sharing what we see, hear, touch, and even perhaps what we think and feel with others.
Arkady flicked the virtual layer back on. Lightning sparkled around the dancers on stage again, electricity flashed from the DJ booth, silver waves crashed onto the beach. A wind that wasn’t real blew against his neck. And up there, he could see the dragon flapping its wings, turning, coming around for another pass. He could feel the air move, just like he’d felt the heat of the dragon’s breath before.
Sound crazy? It is… and it’s not.
Start with motion. In clinical trials today there are brain implants that have given men and women control of robot hands and fingers. DARPA has now used the same technology to put a paralyzed woman in direct mental control of an F-35 simulator. And in animals, the technology has been used in the opposite direction, directly inputting touch into the brain.
Or consider vision. For more than a year now, we’ve had FDA-approved bionic eyes that restore vision via a chip implanted on the retina. More radical technologies have sent vision straight into the brain. And recently, brain scanners have succeeded in deciphering what we’re looking at. (They’d do even better with implants in the brain.)
Sound, we’ve been dealing with for decades, sending it into the nervous system through cochlear implants. Recently, children born deaf and without an auditory nerve have had sound sent electronically straight into their brains.
Nor are our senses or motion the limit.
In rats, we’ve restored damaged memories via a ‘hippocampus chip’ implanted in the brain. Human trials are starting this year. Now, you say your memory is just fine? Well, in rats, this chip can actually improve memory. And researchers can capture the neural trace of an experience, record it, and play it back any time they want later on. Sounds useful.
In monkeys, we’ve done better, using a brain implant to “boost monkey IQ” in pattern matching tests.
Now, let me be clear. All of these systems, for lack of a better word, suck. They’re crude. They’re clunky. They’re low resolution. That is, most fundamentally, because they have such low-bandwidth connections to the human brain. Your brain has roughly 100 billion neurons and 100 trillion neural connections, or synapses. An iPhone 6’s A8 chip has 2 billion transistors. (Though, let’s be clear, a transistor is not anywhere near the complexity of a single synapse in the brain.)
The highest bandwidth neural interface ever placed into a human brain, on the other hand, had just 256 electrodes. Most don’t even have that.
The second barrier to brain interfaces is that getting even 256 channels in generally require invasive brain surgery, with its costs, healing time, and the very real risk that something will go wrong. That’s a huge impediment, making neural interfaces only viable for people who have a huge amount to gain, such as those who’ve been paralyzed or suffered brain damage.
This is not yet the iPhone era of brain implants. We’re in the DOS era, if not even further back.
But what if? What if, at some point, technology gives us high-bandwidth neural interfaces that can be easily implanted? Imagine the scope of software that could interface directly with your senses and all the functions of your mind:
They gave Rangan a pointer to their catalog of thousands of brain-loaded Nexus apps. Network games, augmented reality systems, photo and video and audio tools that tweaked data acquired from your eyes and ears, face recognizers, memory supplementers that gave you little bits of extra info when you looked at something or someone, sex apps (a huge library of those alone), virtual drugs that simulated just about everything he’d ever tried, sober-up apps, focus apps, multi-tasking apps, sleep apps, stim apps, even digital currencies that people had adapted to run exclusively inside the brain.
The implications of mature neurotechnology are sweeping. Neural interfaces could help tremendously with mental health and neurological disease. Pharmaceuticals enter the brain and then spread out randomly, hitting whatever receptor they work on all across your brain. Neural interfaces, by contrast, can stimulate just one area at a time, can be tuned in real-time, and can carry information out about what’s happening.
We’ve already seen that deep brain stimulators can do amazing things for patients with Parkinson’s. The same technology is on trial for untreatable depression, OCD, and anorexia. And we know that stimulating the right centers in the brain can induce sleep or alertness, hunger or satiation, ease or stimulation, as quick as the flip of a switch. Or, if you’re running code, on a schedule. (Siri: Put me to sleep until 7:30, high priority interruptions only. And let’s get hungry for lunch around noon. Turn down the sugar cravings, though.)
Implants that help repair brain damage are also a gateway to devices that improve brain function. Think about the “hippocampus chip” that repairs the ability of rats to learn. Building such a chip for humans is going to teach us an incredible amount about how human memory functions. And in doing so, we’re likely to gain the ability to improve human memory, to speed the rate at which people can learn things, even to save memories offline and relive them – just as we have for the rat.
That has huge societal implications. Boosting how fast people can learn would accelerate innovation and economic growth around the world. It’d also give humans a new tool to keep up with the job-destroying features of ever-smarter algorithms.
The impact goes deeper than the personal, though. Computing technology started out as number crunching. These days the biggest impact it has on society is through communication. If neural interfaces mature, we may well see the same. What if you could directly beam an image in your thoughts onto a computer screen? What if you could directly beam that to another human being? Or, across the internet, to any of the billions of human beings who might choose to tune into your mind-stream online? What if you could transmit not just images, sounds, and the like, but emotions? Intellectual concepts? All of that is likely to eventually be possible, given a high enough bandwidth connection to the brain. Very crude versions of it have been demonstrated. We’ve already emailed verbal thoughts back and forth from person to person. And the field is moving fast. Just this month (after Apex came out) Duke researchers showed that one rat can learn from another, directly via implants in their brains.
That type of communication would have a huge impact on the pace of innovation, as scientists and engineers could work more fluidly together. The same Duke research I just mentioned also showed that multiple rats or multiple monkeys working together via brain implants could sometimes achieve results better than a single animal. The mind meld is here.
Neural communication just as likely to have a transformative effect on the public sphere, in the same way that email, blogs, and twitter have successively changed public discourse.
Digitizing our thoughts may have some negative consequences, of course.
With our brains online, every concern about privacy, about hacking, about surveillance from the NSA or others, would all be magnified. If thoughts are truly digital, could the right hacker spy on your thoughts? Could law enforcement get a warrant to read your thoughts? Heck, in the current environment, would law enforcement (or the NSA) even need a warrant? Could the right malicious actor even change your thoughts?
“Focus,” Ilya snapped. “Can you erase her memories of tonight? Fuzz them out?”
“Nothing subtle,” he replied. “Probably nothing very effective. And it might do some other damage along the way.”
The ultimate interface would bring the ultimate new set of vulnerabilities. (Even if those scary scenarios don’t come true, could you imagine what spammers and advertisers would do an interface to your neurons, if it were the least bit non-secure?)
Everything good and bad about technology would be magnified by implanting it deep in brains. In Nexus I crash the good and bad views against each other, in a violent argument about whether such a technology should be legal. Is the risk of brain-hacking outweighed by the societal benefits of faster, deeper communication, and the ability to augment our own intelligence?
For now, we’re a long way from facing such a choice. In fiction I can turn the neural implant into a silvery vial of nano-particles that you swallow, in and which then self-assemble into circuits in your brain. In the real world, clunky electrodes implanted by brain surgery dominate, for now.
That’s changing, though. Researchers across the world, many funded by DARPA, are working to radically improve the interface hardware, boosting the number of neurons it can connect to (and thus making it smoother, higher resolution, and more precise), and making it far easier to implant. They’ve shown recently that carbon nanotubes, a thousand times thinner than current electrodes, have huge advantages for brain interfaces. They’re working on silk-substrate interfaces that melt into the brain. Researchers at Berkeley have a proposal for neural dust that would be sprinkled across your brain (which sounds rather close to the technology I describe in Nexus). And the former editor of the journal Neuron has pointed out that carbon nanotubes are so slender that a bundle of a million of them could be inserted into the blood stream and steered into the brain, giving us a nearly 10,000 fold increase in neural bandwidth, without any brain surgery at all.
The pace of change is so fast, that every few months brings a new cutting edge technology. The latest is a ‘neural mesh’ that’s been implanted into mouse brains via a single injection through the skull.
Even so, we’re a long way from having such a device that that’s proven to work – safely, for long periods of time – in humans. We don’t actually know how long it’ll take to make the breakthroughs in the hardware to boost precision and remove the need for highly invasive surgery. Maybe it’ll take decades. Maybe it’ll take more than a century, and in that time, direct neural implants will be something that only those with a handicap or brain damage find worth the risk to reward. Or maybe the breakthroughs will come in the next ten or twenty years, and the world will change faster. DARPA is certainly pushing fast and hard.
Will we be ready? I, for one, am enthusiastic. There’ll be problems. Lots of them. There’ll be policy and privacy and security and civil rights challenges. But just as we see today’s digital technology of twitter and Facebook and camera-equipped mobile phones boosting freedom around the world, and boosting the ability of people to connect to one another, I think we’ll see much more positive than negative if we ever get to direct neural interfaces.
In the mean time, I’ll keep writing novels about them. Just to get us ready.
Nope – I’m not talking about an Android phone. I’m talking about an amazing book titled Nexus by Ramez Naam.
Ramez sent me a pre-release version last month. I read it over my holiday in Mexico while I was recovering from kidney stone surgery. I saved it for the end when I was reasonable rested and cogent – it was amazing.
One of my favorite forms of science fiction is what I call “near term scifi.” It’s stuff written two to ten years in the future, usually linked back to current stuff. In Nexus‘ case, Ramez sets it 20+ years in the future, but I’m going to argue that he’s talking about stuff that’s within a decade. My guess is he chooses 2040-ish given the singularity dynamics – I prefer his post-human definition when man and machine merge into one.
Ramez combines science, technology, and a thriller in a very accessible and page turning way. If I ever decided to write fiction, my hope is that I could master the craft of scifi the way Ramez, William Hertling, and Daniel Suarez have. I put him firmly in their league.
If you are looking for a powerfully stimulating book to read over the holidays about where things are going, with a complex hero / protagonist / antagonist structure, plenty of twists and turns, and great scifi that intersects with our reality, go get a copy of Nexus right now.