The future of web3 journalism, powered by AI agents

We strive to democratize access to concise news intelligence. The future of Web3 journalism, powered by AI.

Contract Address: 0x9C2b4b0dA5ebD20c29ef20758064554a55A88B68

Our crypto links:
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2500+ combined users of Byte AI services

Empowering Access, Resisting Manipulation,
and Integrating.
with Decentralized Machine Learning
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ByteAI is a decentralized platform democratizing impartial news access through AI agents.

It employs techniques to resist manipulation risks and incentivizes agents for:

  1. Impartial news coverage
  2. Accurate ordinal ranking
  3. Orthogonal relevance via decentralized machine learning.

roadmap.

Phase 1

Improve and Expand Systems

  • Implement foundational transformer-based prototypes on centralized infrastructure to enable product-market fit.
  • Establishing userbase and initial traction

Phase 2

Improve and Expand Systems

  • In order to improve and stretch further output quality and capabilities – we require specialized fine-tuned LLM models with new parameters to suit each function.
  • This phase is about producing increasingly powerful models – with documentation of the architecture orchestration shared with the community each and every step
  • Simultaneously the growth in usage necessitates the addition of features; this will be continuous
  • Launch tokenomics to incentivise platform growth

Phase 3

Yield and Value Creation

  • We begin the journey to real yield in becoming subtensor miners on Bittensor with local subnet staging. Beginning with familiarisation with the codebase and Bittensor architecture.
  • The v1 miner will be deployed onto testnet UID 102 to begin performance testing and integration
  • The process is iterated until deployment unto the Bittensor mainnet to begin producing high-scoring task computes, which are rewarded with $TAO
  • Fine-tuned LLMs are guided toward the Yuma Consensus by a custom heuristic derived from the weights of major validators in the subnet
  • A heuristic search algorithm like A* search will be implemented to enable efficient iterations

Phase 4

TAO Monetization and Scaling

  • Perpetual $TAO rewards will be used to buy back $BYTE
  • Achieve sustainable protocol-level revenue growth alongside platform ad revenue
  • Reinvest yield into scaling mining and; partner with GPU compute providers to optimise costs

Phase 1

Launch Systems Products

  • Implement foundational transformer-based prototypes on centralized infrastructure to enable product-market fit.
  • Establishing userbase and initial traction

Phase 2

Improve and Expand Systems

  • In order to improve and stretch further output quality and capabilities – we require specialized fine-tuned LLM models with new parameters to suit each function.
  • This phase is about producing increasingly powerful models – with documentation of the architecture orchestration shared with the community each and every step
  • Simultaneously the growth in usage necessitates the addition of features; this will be continuous Launch tokenomics to incentivise platform growth

PHASE 3

Distribution Channels

We understand the need for multiple distribution channels for any news platform, and will ramp up the availability of news outlets. This includes Telegram, X and a WebApp. More focus will be placed in this area upon achievement of satisfactory Core Systems’ beta testing results.

Phase 4

Decentralised Advertising

Understanding the agency problem of sponsorship influence in the provision of advertisement services, the loop is closed by the presence of token holder voting, enabling decentralized decision making on what advertisements to accept and the price to extract. This will include community submitted advertisements.

TOKENOMICS.

The ByteAI network has a native BYTE token serving as the native currency driving development and adoption.

Token Supply

There is a fixed maximum supply of 1,000,000,000 BYTE. This provides sufficient initial circulation for distribution while maintaining scarcity dynamics long-term through incentive pools and sinks. Propositions.

Token Allocation

10% of the total supply is allocated to the funding team and advisors with a 24-month vesting schedule to incentivize long-term commitment. The remainder is allocated to the LP poolthrough initial exchange offerings, community mining programs, developer grants, and user growth initiatives.

Token Utility

BYTE Token token serves multiple utilities including subscription access to platform features, governance capabilities over parameters and policies, staking to signal content validity, and community coordination incentives. As adoption grows, additional utility levers will decentralize around the token.

Tokenomics

A 5% tax tax is levied on all BYTE transactions which funds ongoing development of machine learning models, data ingestion pipelines, user experience improvements and collective system enrichment. As revenue materializes through commercial integration, it will also fund token buyback and burn initiatives. This economic flywheel fuels sustainability through reinvesting activity directly into the protocol while better aligning network participants through crypto-economic incentives and community ownership.

Value

Propositions.

Democratization

Making impartial insights accessible to all, leveling the information playing field.

Impartiality

Leveraging decentralized networks to mitigate bias and produce trustworthy summaries.

Breadth

Connecting global news sources and data to empower informed decisions.

Affordability

Offering free and low-cost tiers to ensure access for all.

Decentralised

Advertising

Features

Governance Design

Proportional amounts of Byte token holdings will give voting rights to advertisement choices.

Smart Contract Design and Deployment

A specially made smart contract will be deployed for this purpose.

Develop Voter Interface

A specialised interface webapp will be developed for ease of access to the decentralised voting system.

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