In this talk I will present the first version of our Turing Test Blockchain concept.

This is still just a proof of concept, a very rough implementation, we are still working on many parts and to bring this to production.

Roughly speaking, what we are proposing here is a third generation blockchain based on Ethereum, in a new context of the Artificial Intelligence industry.

It is, in a way, an answer to the recent developments and plans of this new AI hypercycle. I think this new AI wave is also a great opportunity that we have to somehow seize. Also, this proposal is somewhat related to some current Ethereum proposals around adoption and scalability; we need to try to incorporate as many resources to the network, so to speak, this can be interpreted as an effort in this direction.

This proof of concept includes three modules.

First, decntv0, or Deep Embedding Clustering Network Tomography.

Second, a new deposit contract (ttbv0 deposit contract): the Ethereum deposit contract modified with some master/slave logic. This has implications for the network topology and the monetary emission logic.

Third, the SpearStoragev0 contract, which is an specification or example of the frontier of the network topology.

I will describe with a little bit more detail the three modules and how they fit together.

First, decntv0 stands for Deep Embedding Clustering Network Tomography, in other words, unsupervised AI applied to analysis of the topology of the network.

The model is deployed in the network (for instance, a validator node) and the output is used to define a frontier. It can be seen as part of the network discovery logic, or as a 2-tier/2-velocity Ethereum subroutine (together with other elements).

Some tests with this AI model, trained on real data from the Ethereum mainnet network, have already been performed.

The new deposit contract adds master/slave logic to the Ethereum deposit contract. It plays a role in the representation of a more refined network topology and it is an inversion of the Ethereum PoS monetary emission logic in this frontier.

This can also be interpreted as a hybrid from of PoW and PoS. We are looking for a more refined protocol able to capture the complexities of the network (different nodes in the Ethereum network, but also the Internet as a whole) and to represent a dynamic of growth that is based on fundamentals and sustainability. This is an important challenge in this new AI infrastructure cycle.

The SpearStorage contract is an specification or example of the network frontier definition. It takes the output of decntv0 as input, and some other information that needs to be provided by the nodes involved in the operation. It stores three types of data: standard TCP/IP stack data (IP address and MAC address), geolocation (longitude and latitude) and it defines a constant K (the kinematic constant).

Different applications can be run on top of this. Of course, we know about Ethereum, so we already have that. This concept is a development of the Ethereum infrastructure; the idea is to accommodate more diverse and powerful applications, specially in the context of Artificial Intelligence. This will require further developments, this is also a work in progress in Ethereum anyways.

We have been working on an application to supply chain optimization, loglogx, which was first presented a few months ago. We are still working on that and we are working on the integration with this concept. In fact, the idea is to integrate more complex optimization methods and libraries, both as modules or subroutines of the protocol (like the decntv0 example) and as applications on top of the protocol.