x/brahma (Semi-Technical)

Brahma (etymology from Vedic and Hindu Literature) represents the consciousness substrate in which all material and immaterial exists.

This is an analogy for Bitplanet as foundational state, substrate, governance, voting, value creation measurement, and value award algorithm.

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Telos

To achieve a more perfect meritocracy, Bitplanet is designed as:

1. A closed loop system

2. A configurable + transparent means of measuring value creation

3. An efficient means of allocating rewards proportional to created value

These components enable Bitplanet to evoluationarily gradient toward more positive-sum issuances.

Closed Loop System

All economic transactions must be documented on the Bitplanet ledger (even if statistical representations).

This enables the Bitplanet state-machine to create feed-back loops + state-machines that adapt with the ecosystem. Furthermore, these feedback loops and parameters must be determined by the Bitplanet BPL stakers, to ensure incentive alignment.

Measuring Value Creation

Once a closed loop has been created in Bitplanet, there must be a system to intake this data, and force the algorithms governing the system to adapt. There are two ways we do this:

1. Creating adaptive algorithms that measure economic and financial growth, and adjust emissions and allocation of awards.

2. Governance amongst Bitplanet BPL stakers.

Imagine if central banks operated in accordance with an algorithm. Likely, the algorithm would account for several metrics: GDP, CPI, etc, and use these as inputs to a fiscal policy (output). Where the algorithm's objective function is to maximize the measurable productivity and value creation of each dollar printed.

x/brahma defines this algorithm. However, economists algorithms aren't always perfect. Hence, BPL stakers can adapt x/brahma as the system evolves.

Allocation

Bitplanet utilizes positive sum issuances to incentivize economically productive behaviors, and to allocate rewards & governance stake to the highest performers, so the aggregate outperforms.

The allocation of Core & BPL is the final part of Bitplanet's closed loop. The above components are recursive, in that positive sum issuances can be measured + fed into the allocation algorithm to create a better allocator, which can further be measured and incorporated.

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Architecture

Broadly speaking, x/brahma is responsible for the following mechanisms:

1. Proof of Contributions Request for Cores (RfC)

2. BPL Emission Rewards

3. Attribution Tensors

Proof of Contributions Request for Cores

Similarly to how the FED delegates the responsibility of granular capital allocation to commercial banks, the Bitplanet treasury delegates capital allocation (in part) to applications, via Request for Cores.

Apps built on Bitplanet are unique in that they can incentivize what they consider to be economically productive behaviors themselves, and via Request for Cores can be subsidized for doing so. Bitplanet coin stakers have the ability to judge the quality of each app's allocations, and if they are indeed productive, will allocate more Cores to them.

The flow would look something like this:

1. Deva or another Bitplanet App creates an AI app where users may engage in economically productive behaviors (interacting w/ AI). Each period, they'll measure each actor's individual contributions, and reward their contributions via a Core distribution.

2. In order to subsidize this incentivization, they submit a Request for Cores.

3. The Bitplanet coin holders vote on this issuance of Cores (including one-time approvals for recurring emissions), and if approved, new Cores are minted and sent to the addresses mentioned in the Request for Cores.

See here for a technical primer.

BPL Emission Rewards

Each economic transaction has a variety of actors that influenced it.

For instance, suppose that the economic transaction made by an options trader were distributed among the mentors of that trader: her math professor, the author of her options theory books, etc.

Emission Reward Splits aim to accomplish this.

This is done by storing Attribution Tensors for each AI that track each actor's influence on that AI (training, prompting, distributing, etc). From this attribution data, x/brahma executes an algorithm that determines, for each transaction with an AI:

1. What % of the economic value of that transaction are to be distributed, and what goes to the treasury.

2. What are the distribution splits, per actor in the system. With each distribution split proportional to their influence on the AI in question.

This creates a more perfect meritocracy, by establishing a trickle down effect in the Bitplanet economy from transactors to all actors that deserve attribution for that transaction.

AI Attribution Tensors

Attribution Tensors are the data-structure through which all data per contributor to an AI is stored.

A good mental model of this is a quantifiable reputation system. Both x/brahma, and any smart-contract on Bitplanet have access to this data.

Tensors are a data-structure commonly used in machine learning + mathematical physics. They are chosen in Bitplanet as a way to compress the complexity of an individual's economic participation into a concise data-structure, that is composable with x/brahma's distribution algorithm.