Random Thoughts

College Questions: What is the future of AI-Human symbiosis?

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Going to try out a new series where I take questions from random young adults in college on topics surrounding, technology, economics, product development, software, and everything in between. The challenge for myself in these is to literally write this in one, 1-hour sitting – with no editing – and vomit my thoughts out. I’m fully expecting these posts to be random, wild, hyperbolic, and meandering 🙂

To kick this off, I asked a friend and former short term intern – Carson Young. Here is the direct quote from our texts:

“With regard to AI becoming symbiotic with humans or we are the “biomatter”, how would that look? What is the future of neural-link but from a broader perspective? What’s the future of AI symbiosis?”

Psch…. such an easy question to kick this series off… /s

To start with, let’s get a quick grounding on what NeuralLink actually is. NeuralLink falls under the bioengineering category of “brain-machine interfaces” – otherwise known as BMIs. This research was largely kicked off back in the 1970’s at UCLA where DARPA provided a grant to spearhead the research. That was the first BMI related research, however, I’d argue that the real critical research started in 1924 with Hans Berger’s discovery of brain waves. He was, in essence, the first scientist to measure brainwaves with his development of electroencephalography. Or for us layman…the EEG.

There’s been a ton of research performed where humans are provided a task to perform while hooked up to an EEG with the exhaust data producing patterns of brainwave activity required to perform said task. Now, EEGs are considered a noninvasive method for monitoring brainwave activity – meaning that you don’t have to crack open the skull to do so. The downside to this is precision. The brain is super complex so fine-tuning the EEG monitoring down to the neural mesh level is extremely difficult.

If we hop back to BMIs, most methods leverage microelectrodes which are effectively super small electrode monitoring devices. Since the electrodes are physically implanted into the brain, we can get a high degree of precision and locality within monitoring wavelength patterns. The obvious downside to this is that it is both invasive and cannot be made to meet clinically transferable standards because everyone’s brain is different.

So, what has NeuralLink built that is different? From my interpretation of the whitepaper, they’ve effectively developed a new type of electrode and “meshing” of these electrodes. In their words…”minimally displacive neural probes that employ a variety of biocompatible thin-film materials.” To me, the thin-film materials are the most important innovation. Instead of being a specific “point” as other electrodes are often created, their thin-film devices enables a much higher density of sensors to monitor brain activity. You can think of the actual “mesh” of the brian device as a bunch of various threads with sensors in each thread, creating the neural-mesh that most people talk about and that sci-fi tends to evangelize.

I should stop here and say that there is more than just the “thin-film” that is innovative in the whitepaper. They appear to also have developed a new surgical robot to install mesh inside the brain as well as new sensors. I’m avoiding that topic simply because the question at hand is more related to the future of this development.

So, on that note, what the f*ck is the future of this going to be??

Like any predictions, you can take an optimistic or pessimistic approach. For me, I believe that this technology will take a while to develop and even longer to become mainstream. It’s not going to be an easy sell to humans (and more so insurance agencies) to say “hey, implant this thing in your brain.” Nothing could go wrong, right?

There are a lot of concerns I have when I take the pessimistic approach. The first thing that comes to mind is security. I imagine that these devices are going to be specifically designed as one-directional units; meaning that they are simply monitoring and passing information along. It would seem foolish to have it be a bi-directional device simply from a security standpoint. We don’t want people going around and brain hacking each other because you bet your ass we’re that dumb.

Some major open questions that I think will need to be answered before going mainstream:

  1. Will these devices have kill switches?
  2. How do software/hardware updates work? (LOL – imagine regression testing these things…)
  3. What is the physical safety of these devices? (eg. head impacts causing the mesh to move)
  4. What is the lifespan of a neural mesh?

If I put on my futurist hat on, I think BMIs have significant potential for changing humans. Information retrieval would be the most interesting and immediate impact these devices would have. I could effectively search for anything at any point. Humans become a walking fucking Wikipedia. Now, the key here is that I think this will help people be able to retrieve information more effectively but I don’t think that it will dramatically impact intelligence or creativity. Yes, we will be able to learn a broader swatch of items. That said, comprehending and complex problem solving isn’t solved. Those skill sets are learned through teaching kids as well as a large genetic component. So, I think there will still be a large cognitive disparity for innovation but I believe that it will help humans overall become more intelligent.

One random thought that popped into my head is how this would change interaction patterns of humans – specifically in social dynamics. For example, if most people have a BMI, how does that impact the dating scene? There are obvious humanistic qualities and genetics that create desirable traits from our evolutionary history – one of them being intelligence. Can you imagine being on a date and immediately retrieve deep historical facts around any topic to woo and win over your potential partner? How bizarre…

If I take Caron’s question more deeply and focus on the word “symbiosis”, I imagine that BMIs will have an ecosystem of other devices they work with – both on your body and in the physical world. I imagine you’d be able to hook it up to a hand device where that hand device can be inserted into other objects, such as a car. From there, your brain is locally hooked up to a car and symbiosis becomes true in every sense of the word. We are already testing haptic feedback suits…imagine giving any inanimate object a human brian and experiencing haptic feedback from that – both physically and mentally?

One of my buddies works at a company called Neurala where they effectively wanted to implant an AI-brain in inanimate objects (like warehouse robots, drones, etc.). With BMIs, we could take something dumb and amplify it with human intelligence based on the interaction points available in that object. For example, with a car, you could imagine a sort of API where, once your BMI is connected with the car, you’d have access to control a menu of items from this dumb device (eg. steering, blinkers, throttle, brakes, car sensors, stereo, etc.). It’s actually kind of creepy thinking about this further, especially if the device becomes bi-directional. You’d basically assume the responsibilities of the sensors from whatever device you’re taking over, creating a perceived extension of your body. What a crazy thought! Imagine having a drone that you could “interface” with. You’d be able to fly that drone wherever with your mind and, assuming bi-directional, you’d experience the “feeling” of flying based on what the sensors provide back to the BMI. The feeling of “height” or “speed” would be a sensation to the human nervous system, creating that tingling feeling and sweaty palms as you took a drone over a cliff of – let’s say – the grand canyon. We’ve all seen the DJI Phantom videos of flying a drone through a sweeping landscape. Now, imagine the “feeling” of that. Pretty nuts.

Although, that brings up something equally as bad which is having a BMI hooked up to something like a strike drone for warfare. Mentally controlling rockets until the point of impact…Where there’s good there’s also evil…

I could also see this manifesting in a totally opposite way…like the Matrix. I can imagine a world where you plug into the “network” and “surfing the web” becomes something more interesting. You could probably pair this with VR/AR to some degree as well. It would be a pretty cool experience being immersed in VR with your brain controlling navigational aspects of web surfing. When you visit Reddit, you really visit it – both mentally and visually.

As I just wrote that, one thing that did pop up as a concern is breaking what “reality” actually means. You hear stories about humans trying LSD or shrooms and visually experiencing a different reality. I wonder if a neural mesh could interfere with the brain’s ability to craft reality for us. I could see that potentially being both awesome and terrifying. I’ll think about that later since that’s a rabbit hole.

Getting back to reality, I think that the early stages of this development is really exciting but will need a large amount of progress in order to be deemed “valuable”. NeuralLink has been able to get 3,072 electrodes in their mesh, which is impressive and a great start. However, estimates provide that the brain has over 100 trillion neural pathways. Just capturing .0001% of the total neural pathways means that we would need to have somewhere around 10,000,000,000 electrodes. Now, I’m sure this is unnecessary given that we’d probably be going after targeted functions (eg. what does moving “left” vs. “right” look like in the brain). I imagine that this device would sort of be like an SDK where you implant it in someone’s brain with a whole bunch of functions, and then there’s a “learning/programming” period where the human goes through a series of actions multiple times that they want to program in the NeuralLink. Once the device captures and programs that, the human can simply think of that action and it will be able to respond. So, getting some ten billion electrodes may not be necessary depending on the complexity of the actions that are going to be allowed/recommended from the device.

It’s been an hour so I’ll stop writing here. Wasn’t expecting this to be a super thought-provoking piece but some of the thoughts around assuming the role of inanimate objects make this a much more interesting topic to explore. It makes me really wonder what it would be like to assume the sensation and “endpoints” of things that my BMI could interact with. What a world that would be.

Thanks for the question, Carson. Hope this was an interesting read for you and whoever else reads this! If you have a question that you want my mind to explore for a bit, feel free to hit me up on Twitter or on my Contact page.

Stock Picks

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I had a fun conversation this last Friday with some of my friends around stocks that we were holding on to. In early 2016, I remember telling them that Nvidia was the company to own for the next decade. Fortunately, we all had bought in at various points and have made a killing so far.

However, I remember telling some of my other friends back in 2014 that Nvidia was the biggest growth company and is one of the few companies that are creating exponential value. I sent the email on February 15, 2014 back when the stock was trading at ~$15/share. It now sits at $201/share, around a 1,171% gain.

Anyway, this isn’t meant to be a “I always pick the best stocks” post but rather just a more concrete way to seeing whether I’m actually right or not when I pick stocks. I never seem to log the trades so I figured I’d put it here. Below are my picks with price targets. Let’s see if I’m right!

  • NVDA – $350 by end of 2018 (currently $201)
  • BOX – $50 by end of 2018 (currently $21)
  • MULE – $50 by end of 2018 (currently $24)
  • MSFT – $175 by end of 2018 (currently $84)
  • MA – $225 by end of 2018 (currently $149)
  • HON – $215 by end of 2018 (currently $146)
  • JNJ – $200 by end of 2018 (currently $141)
  • WEC – $110 by end of 2018 (currently $67)

Just to be clear, these are completely non-calculated, non-scientific estimates. I’m basing my judgement purely on just looking at the business model with current market climates and thinking about where value may increase. Here’s to hoping!

Leaving Acquia

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In one week I’ll be leaving my current position at Acquia as a Product Manager on the Lift Personalization product. I’m incredibly sad to be leaving Acquia as I loved the people I worked with, the vision of the company, and passion everyone had for what they did. Starting June 1st, I’ll be moving to be a Product Manager at Localytics on the marketing feature set within their platform.

I first joined Acquia as a Product Marketing Manager for Cloud Site Factory. I didn’t have much marketing experience but they gave me the opportunity to prove that I make an impact to the business. This is one of the attributes that I loved about Acquia was the willingness to give people a chance to shine. It ended up working out well when we ended up doubling our lead pipeline.

Cloud Site Factory was a very challenging product to market due to the technical complexities and business impact. Site Factory allowed businesses to rapidly spin up site, maintain governance over their digital properties, and simplify the technical management for developers. It touched every aspect of the business and was often the catalyst for many companies looking to replatform their CMS but also to shifting towards a digital first company.

I was then given the opportunity to move into Product Management on the Lift Personalization product. Lift allowed businesses to provide contextual 1:1 marketing conversations with users on their websites. It was quite the learning curve but we ultimately pushed the product into an early success.

Acquia taught me a lot about mid sized company growth and how to transform to an enterprise focused company. It takes a broader mind shift to break into the enterprise market from how you sell to your value props to your support model. While going through this transformation, Acquia has been able to stay true to their core DNA and culture which I believe will ultimately make them the go to solution for enterprises in the future.

While bittersweet, I’m happy I was able to contribute to such a strong company and learn so much. I was given a great opportunity with Localytics to work on a whole different set of challenges to break through. Being a much smaller company at ~200 employees with double digit growth, it’s going to be another learning experience that will give me insight I need to start my own company in the future.

Cheers to Acquia on their move to State Street in Downtown Boston and many more years of success! And many thanks to the folks at Localytics for giving me an exciting new challenge to pursue.