Longevity Biotech: Apotheosis of Medicine

Hi everyone, my name is Chris, I'm a junior blockchain developer from Ireland. My team and I are building OLIS, which is a decentralized information publishing protocol. So the first question you might ask is, why do we need a centralized information publishing protocol? I think it's pretty clear to everyone that news media is currently facing an existential crisis. Advertising revenues have been decimated in the internet age.

The need to attract clicks has massively reduced the quality of all news that we consume. Subscriptions are only viable for a very small minority of companies. There's been a lot of consolidation amongst companies, so there's now a huge sway amongst a very small conglomerate of news companies that basically shape and discuss everything that we discuss in mainstream. And governments have been trying to respond to this problem but have been failing essentially. So what is Olus?

Olus is basically this idea that we think we can completely reimagine the economics of media for a digital age. We believe we can create a global system of editorial and peer review built on crypto rails, using basically a decentralized system that can be controlled by no single entity and can't be censored by an authoritarian regime. And if you look at this diagram, it's basically, it's supposed to be a Venn diagram, but it didn't come up. It's basically a public goods model that's neutral by design and uses markets for reviewing of information. So the solution.

So decentralized ledger, compute, and storage tech has basically enabled fully decentralized and ownerless media platforms. These technologies enable cash-like payments, micropayments in particular, for tipping and other such means of transferring value and the core technologies we're focusing on or as this list here so quadratic funding is proven to be an incredibly effective method at funding high high quality public goods prediction markets which is the key part of the protocol have been shown to outperform centralized information review platforms. Reputation systems are incredibly effective ways of keeping score of performance on the internet. We also have decentralized identity protocols emerging now that are incredibly effective at mitigating attacks from bots and other forms of civil attacks. And with the advent of anti-collusion and anti-bribery tools that are emerging from teams like the PSE team, we can greatly reduce any negative externalities that arise from voting and other sort of ballot-based systems.

So we believe by combining all of these technologies that we can create high quality and trustworthy information in an open platform without the need for subscription models or seeing ads. Riders essentially receive funding through quadratic funding and tips, and users can just show their appreciation to riders through micropayments. So what are we working on right now? Right now, we've designed three market mechanisms, one for opinion pieces, one for investigative journalism, and one for academia. Our main focus right now is actually building out our first proof of concept of the opinion system, and this is based off a really interesting economic theory that's emerged in the last few years called Bayesian truth system, Bayesian truth theorem.

It's basically a survey scoring method that provides truth-telling incentives for respondents who answer multiple-choice questions after reading a piece of content or trying to predict the outcome of a certain event. So respondents essentially supply not only their own predictions, but also an estimate or prediction of what the general consensus for the market will be. And then the formula assigns high scores to these surprisingly popular answers that can emerge from a significant minority, basically. And if enough of these participants coalesce around a surprisingly popular answer, it gives rise to an SPA, and this SPA then becomes the market outcome. And we've basically been shown in multiple studies now that this Bayesian truth serum ends up being much more accurate than just vanilla prediction markets, particularly for subjective information like we'll be judging in opinion markets.

So yeah, that's us. We're, I would say, 70% through the POC of the opinion market, so I'm hoping to have a demo for you guys by the end of Edge City with the full UI and everything. So really looking forward to demoing that here. And you can find us here at olus.info.

And our Twitter is olusprotocol. So yeah, thank you so much. Cool. Oh, yeah, go for it. Hmm.

Yeah. Yeah, well, I think one of the main systems that we're using as sort of something to go off of as pretty effective is like prediction markets like polymarket that's being used like very effectively now for like the u.s elections and it's actually become like a main source of truth for people in the u.s like taking part in elections and this kind of builds on that theory except instead of having like vanilla prediction markets we're integrating much more bespoke economic mechanisms that have been designed to like realign for truth like every part of the mechanism and our goal i guess is not to create like the perfect system i don't think that's possible but i think we can do like much better than what we're currently used to which which is just like top-down companies basically telling us what the truth is. And yeah, we think, you know, the only way to create a system that produces high-quality information is to make sure that it can't be captured by private interests.

And right now, pretty much every source of information we get through academia or news media is from a private interest. So yeah, that's kind of the premise of this and we think if we can produce information using markets, we'll produce much more high quality information and make it a public good again, which is our goal. Are there any other questions? Just for the record, if people have questions after these presentations, raise your hand. We're pretty loose here.

All right. Oh, yep. Thank you. . Yeah, I think exactly to that point, it's stacking signal.

And we can use a lot of different tools now that have become available in the last few years that make that a lot more plausible that this information is as close to the truth as possible yeah yeah so we we have like different mechanisms for different types of information so if we're verifying like an objective truth we have like a whole different mechanism built within