How Blockchain Can Help Bring AI Into Mainstream – Podcast


cryptonews podcast human protocol

Artificial intelligence (AI) is the next frontier in Big Business. As organizations everywhere look to cut costs, increase their earnings and optimize workflows, AI has imposed itself as the obvious solution.

But building AI-powered software – and putting it out there – is a lot more challenging than it sounds.

In episode 47 of our podcast, we hosted Harjyot Singh, technology and crypto director at Human Protocol Foundation. A seasoned product and engineering leader, and a successful, London-based tech entrepreneur, Harjyot discusses the problems with today’s AI.

On the podcast, you’ll hear why the lack of granular data in AI is a problem, how automation can help with data labeling, and how blockchain can help bring AI into the mainstream, among other things. You will learn:

  • What is HUMAN Protocol?
  • Interoperability
  • Machine learning bias
  • ReCaptcha vs. hCaptcha
  • Balanced & granular data
  • Micropayments
  • The future of HUMAN protocol

We talked about this, and plenty of other things, on our podcast which you can find on this link, or you can listen below, and let us know what you think in the comments!

Episode transcript:

Matt Zahab: 0:08

Folks, if you’re a fan of AI, blockchain and web three, this episode is right up your alley way. Our guest today is a London based tech entrepreneur. He’s a seasoned product and engineering leader, and has worked in a variety of companies and industries over the past decade with a focus on finance and distributed computing. He has also founded two successful ventures which built infrastructure to tackle issues like misinformation and privacy. His current focus has been to explore how cutting edge technologies like AI and blockchain can improve the quality of the day to day experience that the majority of consumers have on the internet. In his free time, he loves to contribute to open source projects go grassroots traveling, build custom motorcycles, and record music. On a side note, check out his Insta, it’s pretty freakin cool and right on point. Present day, this gentleman is the technology and crypto director at human protocol foundation who has some incredible news that’s hot off the press. I’m very pleased to welcome to the crypto news podcast. Harriet Singh. Harry welcome to the show.

Harjyot Singh: 1:13
Thank you, Matt, for the very kind intro. How are you doing today?

Matt Zahab: 1:16
I am doing lovely, very happy to have you on board. You and the human protocol foundation launched some incredible news today. We’ll get to that in a second. However, I know you’re a London based entrepreneur. I’ve been to London once two weeks there fell in love with the place world class city, London for a reason. How’s London right now? Is it is it got its legs back after COVID?

Harjyot Singh: 1:39
You know what? Yeah, it’s getting there. It’s getting there. I mean, we live in such a metropolitan city, which is full of life, maybe whatever time of the day it is, it’s quite difficult to digest what after effects of COVID left. But the city is strong, it’s multicultural. People have that hustle. And yeah, I can see some semblance of the past shining through.

Matt Zahab: 2:04
I love that it’s one of those cities, when you’re just walking around, you can feel the energy, whether you’re close the bank station with all the suits are short, it sure you know, having a party wherever the case may be just the energy, it’s all over the place. I absolutely love that. Before we get into human protocol, I’d love if you could tell our guests a little bit about yourself and your past

Harjyot Singh: 2:23
Sure. I mean, it’s a pretty standard story, you know, run up the middle I originally held from India. After high school. Luckily, I decided to move to Edinburgh in Scotland, to the University of Edinburgh to study artificial intelligence and computer science. You know, since being a child I was always been very inquisitive about computer systems, so on and so forth. But it just was a next step. And you know, as a person from a developing nation moving to a first world nation, a developed nation like UK, my focus was always that you know what, I’m going to do this degree, I’m going to learn all I can that I’m probably going to work for a major corporation or an MNC, you know, as a software engineer, probably white collar job with my head down and do my job. But as fate has it, I just saw that I was more attracted to startups and you know, cutting edge technologies like AI and blockchain. And you know, what, from first year, I started working in very exciting startups, you know, exploring different dimensions of these technologies that I just mentioned. By the time I graduated, I was a technical lead. And I had this feeling that maybe, you know, I can do something with what I’ve learned as well maybe make a dent on the world. And, yeah, I launched my first startup for Providence labs, which, in a nutshell, is a misinformation detection platform, which just doesn’t look at, you know, which news is fake being used out of context, but also tries to go a step further and figure out what the bias behind it is. So that we, you know, involve using very cutting edge, semantic labeling, image detection in the terms of AI, textual analysis in terms of ML models, little bit of blockchain work here and there as well to provide provenance for a particular piece of content. Then after a few years, once I started started doing well, you know, it was kind of running on its own. I kind of clashed parts with the human protocol. And here I am,

Matt Zahab: 4:32
And then you went head over heels and here you are.

Harjyot Singh: 4:35
Oh, yeah, love at first sight.

Matt Zahab: 4:38
Looking at your background and again, whenever I have a guest coming on, I do the big lurk, I do the Twitter, the Insta, the medium, all socials, I listened to all their interviews and I’ve heard you speak before and you know, you got a hard on for human protocol as you should. That’s that’s the way it goes. Right. And I gotta ask why did you choose human protocol? I’ve heard this answer before on different pods. And I love this answer. So you got to give it to me. Why did you join them when you had such a bright future at your previous startup?

Harjyot Singh: 5:08
I think you know what, in terms of the industries, when we look at either AI or blockchain, we’re just at such an interesting junction. where, you know, the old school technologies are kind of transitioning out, but the infrastructural setups, the application setups, you know, all the tooling that made the previous generation of software possible just doesn’t exist. And being a part of a project, like human protocol allows you to really be pioneers in building the future, in a way, it allows you to marry the two technologies and build everything from the ground level, you know, the infrastructure level, to the protocol level, to the application level, and really contribute to the bigger technology ecosystem. And I think that’s what attracted me to human protocol a lot. And I mean, we can look at it in two different ways as well, right? Like being particularly about blockchain. I don’t know how much, you know, this is my way of categorizing it in my head, at least. Back when Bitcoin was launched, it was, you know, revolution, private money became a thing for decentralization, no more middlemen, and it turns people heads, then you started saying, okay, we can take the concept of private money and really generalize it. And hence came, the what I would like to call the wave 1.5, pre 2.0, with Ethereum kicking in, which is about, you know, allowing business logic to be run on chain in a decentralized manner. Right. Yeah. And that was cool. You know, it was cool. But then as slowly that industry progressed as well we saw you know, Ethereum really have its setbacks, be and bandwidth related throughput related. And then came a new generation, which is according to me the wave 2.0 with the multiple L1s and L2s coming to optimize build on top of the principles that Ethereum and Bitcoin already launched, you know, hyper optimize it. And that went great, some projects, stayed some projects will then we saw some really awesome technologies being built in that way. And I think that led leads us to wave 3.0, as I would like to call it. Now we have so many L1s, L2s, so many protocols running on different chains and stuff. And here comes the age as you might see you in the industry as well about interoperability. So a lot of protocols and…


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