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đŸ’„A blockchain-based infrastructure for web2 and web3 AI applicationsđŸ’„
Let's Take A Deep Dive On Fetch.Ai
October 07, 2022
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  • Fetch-ai Network is developing the infrastructure and tooling for creating Web2 and Web3 AI applications.
  • FET is the native token of Fetch-ai Network. The current main use cases for FET include:
    • Staking: FET is an access deposit token that acts as a form of stake to demonstrate the desire to behave appropriately.
    • Value exchange between agents: FET is required for two agents to perform an exchange of value in the ecosystem.
    • AI/ML access: FET token enables development of and access to a broad range of machine learning and artificial intelligence tasks that are available on the ledger.
  • The project consists of the following major components working in conjunction:
    • Fetch-ai blockchain system: a đŸ’„Cosmos SDKđŸ’„ based self-sovereign blockchain ledger and the supporting tools for developing DApps on the network.
    • Applications built on Fetch-ai: the modular Autonomous Economic Agents (AEAs) and the Digital Twin Platforms that can efficiently and securely communicate peer-to-peer and provide interconnectivity with multiple networks.

Historical daily prices (in USD)

Token Summary

Interesting on-chain metrics that provide a rapid understanding of the state of Fetch

1. Overview

1.1 What is Fetch-ai Network

Fetch-ai Network is a Cambridge-based artificial intelligence lab building an open-access decentralized blockchain based framework with the principal goal of delivering a fully autonomous, agent-based digital economy. The Fetch-ai Network technology stack is built using principles derived from a branch of artificial intelligence known as multi-agent systems. This approach involves solving different problems from the bottom-up by creating individual autonomous software agents that perform actions in the world to accomplish their individual objectives. By combining the actions of multiple agents, it is possible to achieve outcomes that would not be possible with centralized architectures because the environments are too complex, are spatially distributed or involve multiple stakeholders. Blockchain technology involves the design of incentives to successfully coordinate the actions of multiple disinterested parties to achieve a common goal, and can already be seen as the world’s most successful implementation of multi-agent systems. Fetch-ai Network is working to generalize and extend the results from this established research field into new domains in finance, supply chain, mobility, smart cities and IoT applications.

1.2 Token Use Cases

The primary use cases of the FET token are listed below.

  1. Ability to connect agents and nodes to the network: This is an access deposit token that acts as a form of stake to demonstrate the desire to behave appropriately. It modulates the ability for bad actors to flood the network with undesirable nodes or agents due to the escalating cost of doing so.
  2. Value exchange between agents: The FET token is required in order to allow for two agents, regardless of where they are, to perform an exchange of value. The FET token is infinitely divisible, thereby supporting transactions that have very low monetary value, but in aggregate provide new and profound levels of insight.
  3. Access to the digital world: FET tokens are needed to access, view, and interact with the decentralized digital world. This is a space optimized for digital entities: an abstract representation of the real world in many dimensions that allows machines to make sense of and work within. The FET token is needed to gain access to all aspects of this digital world for agents.
  4. Ability to access and develop ledger-based AI/ML algorithms: The FET token enables development of and access to a broad range of machine learning and artificial intelligence tasks that are available on the ledger. These may be primitive services developed by Fetch-ai Network such as: trust and prediction models, or they may be large-scale independently developed services for network users.
  5. For exchange into Fetch-ai Network’s operational fuel: operation costs in Fetch-ai Network are decoupled from the Fetch-ai Network token in a similar way to that of “gas” on the Ethereum network but with additional functionalities designed to increase the stability of such a fuel and look at addressing the issues associated with high and low-velocity economies. Fetch-ai Network’s operational fuel allows access to processor time for contract execution and services for agents.

1.3 Products, technical details, consensus mechanism

The Fetch-ai Network blockchain is an interchain protocol based on the Cosmos-SDK, and uses a high-performance WASM-based smart contract language called Cosmwasm to allow advanced cryptography and machine learning logic to be implemented on-chain. This layer is responsible for securing the network through consensus. It also provides staking, governance, and identity services that support digital twin applications. The Fetch-ai Network blockchain relies on a modified version of the Cosmos protocol’s Tendermint Proof-of-Stake (PoS) consensus mechanism to secure the network. And since the Fetch-ai Network blockchain is Cosmos-based, it can be interoperable with other blockchains in the Cosmos ecosystem via the inter-blockchain communication (IBC) protocol. In addition the Feth.ai technology stack further consists of: an agent framework, an open economic framework and an agent communication network.

The Autonomous agent framework is designed to allow for a decentralized digital economy to manifest where each individual and organization is represented by an autonomous economic entity with its own agency. Designed as an actor-like asynchronous message passing system, the framework allows for a high degree of modularity as components largely communicate via messages. Moreover, the framework can be bifurcated in two parts: the core, developed by Fetch-ai Network and external contributors and packages implementing agent-specific business logic. Figure one presents a simplified illustration of the AEA framework.

The Open Economic Framework (OEF) consists of protocols, languages and market mechanisms agents use to search and find each other, communicate with as well as trade with each other. As such the OEF defines the decentralized virtual environment that supplies and supports APIs for autonomous third-party software agents, also known as Autonomous Economic Agents (AEAs).

The agent communication network is a peer-to-peer communication network for agents. It allows AEAs to send and receive envelopes between each other. The implementation builds on the open-source libp2p library. A distributed hash table is used by all participating peers to maintain a mapping between agents' cryptographic addresses and their network addresses. Agents can receive messages from other agents if they are both connected to the ACN (see here for an example).

2. What is Fetch-ai Network?

2.1 Project overview

Fetch-ai Network is a Cambridge-based artificial intelligence lab building an open-access decentralized blockchain based framework with the principal goal of delivering a fully autonomous, agent-based digital economy. The Fetch-ai Network technology stack is built using principles derived from a branch of artificial intelligence known as multi-agent systems.

2.2 Project mission

Fetch-ai Network is working to generalize and extend the results from established research fields such as blockchain, artificial intelligence and multi agent systems into new domains in finance, supply chain, mobility, smart cities and IoT applications, by creating useful antifragile tools, decentralized apps, protocols and frameworks.

2.3 Project value proposition

By bringing data to life Fetch-ai Network solves one of the greatest problems in the data industry today: data can’t sell itself. With Fetch-ai Network, it can. Data is able to actively take advantage of any opportunity to exploit itself in any marketplace, in an environment that’s constantly reorganizing to make that task as easy as possible. Internet-of-things (IOT) devices inhabited by Fetch-ai Network autonomous agents can increase utilization by capitalizing on short-lived opportunities to sell information that they possess in existing, as well as novel, information services markets: an agent in a vehicle can provide weather and road conditions by simply relaying the activity of its windscreen wiper and washer. Through the deployment of agents in combination with machine learning technology, data and hardware can now get up on their own two feet, get out there and sell themselves entirely free of intermediaries or human intervention.

3.Token sales and economics

3.1 Token sales data

Fetch-ai Network leverages its own native cryptocurrency FET as a utility token and the primary medium of exchange on the platform. FET is used to pay for network transaction fees, deploy AI, and pay for services. Users can also choose to stake FET to participate in securing the network via its Proof-of-Stake consensus mechanism and earn rewards in return for contributing to validator nodes.

There is a fixed number of divisible tokens that are used on the Fetch-ai Network network as the digital currency for all transactions, as well as for network operations such as secure communications. Tokens can also constitute an access deposit for both nodes and agents wishing to perform certain operations (as a security mechanism to discourage malicious behavior). Token allocation has been divided amongst public sale, seed investors & private sale, founders & team, advisors, ecosystem, mining rewards, and issuer.

3.2 Token Distribution

The total number of tokens generated is intended to be 1,152,997,5753. No further tokens will be created, but native Fetch-ai Network tokens can be subdivided indefinitely

4. Token Overview & Use Cases

Fetch.ai leverages its own native cryptocurrency FET as a utility token and the primary medium of exchange on the platform. FET is used to pay for network transaction fees, deploy AI, and pay for services. Users can also choose to stake FET to participate in securing the network via its Proof-of-Stake consensus mechanism and earn rewards in return for contributing to validator nodes.

There is a maximum supply of approximately one billion FET, which exists both in its native form as an ERC-20 token that can be used throughout the Ethereum ecosystem, and as a BEP-20 Token that can be used throughout the Binance Smart Chain Network. FET can be easily exchanged through a token bridge at a 1:1 ratio for either the Fetch.ai blockchain mainnet or ERC-20 version as needed. Staking on the Fetch.ai mainnet can earn users high rewards with significantly lower transaction fees for users.

There are a range of use-cases which Fetch-ai Network’s multi-agent systems can tap into and create a decentralized digital economy. From service sectors like Travel or Gig-economy to sectors relying on automation and machine learning like Mobility or Supply chain management, Multi-Agent systems can decentralize access to data and disrupt existing data monopolies.

Starfleit: Starfleit is a decentralized exchange (DEX) where transactions occur directly between crypto traders without needing a centralized market maker but instead using an Automated Market Maker (AMM) developed using Cosmwasm smart contracts. The assets available to swap range from native Fetch-ai Network assets, CW-20 assets, IBC transferable assets, and even assets from other chains outside the Cosmos ecosystem, via the Axelar bridge.

Atomix: Atomix enables stablecoin holders to supply liquidity and receive a yearly yield composed of protocol-generated returns and ATMX rewards. That yield is highly competitive compared to returns delivered by decentralized finance (DeFi) and traditional alternatives.

MOBIX: MOBIX (MOBX), is a Move 2 Earn, decentralized micro-mobility marketplace that incentivizes sustainable urban mobility.

Mettalex: A decentralized crypto and commodities derivatives trading platform, Mettalex is addressing pain points in commodities markets like front running, poor liquidity, price manipulation and loss of value in the form of margin calls.

Resonate.social: Resonate (RESO), decentralized social network for Web3 that enables users for the very first time to have a personal AI-powered, trusted social experience that is automatically sanitized from malicious, untrustworthy sources and actors. Built on the Fetch-ai Network blockchain, Resonate.social empowers users to deploy personalized AI proxies to accomplish any Web3 social economic activity on their behalf within and without the network.

Collective Learning:

The Fetch-ai collective learning module is a tool that enables distributed parties to work together to train machine learning models without sharing underlying data with any of the individual participants. Utilizing blockchain technology and AI learning capabilities, it supports and trains its network to learn from private data without having access to it.

  • AXIM: Axim allows businesses to safely and securely connect data silos, improve their understanding via machine learning models and gain valuable insights to help optimize their business functions, without compromising any of their data privacy.
  • DabbaFlow: DabbaFlow, empowers individuals and companies to take more control over their data and turn them into real business outcomes, while keeping their data private and secure. It is the first of its kind end-to-end encrypted file-sharing platform and is the first step on Fetch-ai Network’s mission to bring AI fully to Web3.
  • OpenColearn: Open CoLearn is a platform to give distributed app developers (Web 3.0) the tools to use AI securely while safeguarding consumers' data privacy and ownership. It bridges the gap between consumers who generate a low volume of data and care about privacy and data ownership and developers who want to provide AI predictions or monetize that data in a distributed way.

Notable use-cases for Collective Learning

  1. COVID-19 detection : Multiple participants from the healthcare sector trained a machine learning algorithm using Fetch-ai’s Collective Learning to detect COVID-19 in chest x-rays. During these trials, the trained AI model correctly identified COVID-19 cases from a training set of over 1,434 chest X-ray images with 90% accuracy.
  2. Cancer cell detection: In partnership with Poznan Supercomputing Networking Center (PSNC) on Collective Learning, Fetch-ai and PSNC will train algorithms for hospitals and research centers worldwide to identify and detect circulating cancer cells in patients’ blood or tissue biopsies in the future.
  3. Bosch and Fetch-ai - Predictive Maintenance: Predictive maintenance is a process that identifies potential failures of machinery before they happen.To identify potential failures of manufacturing machinery, Bosch is utilizing Fetch-ai’s Collective Learning to predict potential failures in Bosch’s machinery while maintaining data privacy.
  4. Colearn pAInt: This is an art creation platform that allows groups of creators to automatically generate NFTs using Machine Learning. Each piece is one of a kind and sold via auction on OpenSea. \

4.1 DeFi

  • Botswap.fi: This is an automated DeFi Liquidity Management App where users can manage and protect their crypto assets across multiple different chains such as Ethereum (ETH) and Binance Smart Chain (BSC) on Uniswap and PancakeSwap and automate the process of swapping coins, managing liquidity pools, and more by using the Fetch-ai Network AEAs. Just create an agent, a trigger, choose the pairs in your portfolio you want to protect against rug pulls and that’s all, your agent does the work for you through day and night.

4.2 Mobility

  • Deep Parking: The smart parking application of the future. This prototype was demonstrated at the world’s largest automotive conference in Munich, Germany. Tested on a Tesla, Jaguar, and BMW, along with partners - Bosch, Ocean Protocol and Datarella, Deep Parking is an application built upon AI and blockchain technology that finds parking spaces for automobile drivers that were previously unused. Rather than driving into a parking lot hoping to find a space, a Fetch-ai Network digital twin representing your car will search and autonomously communicate with all the local parking spot digital twins to find the nearest available space to your destination and book it for you, before directing you to it. The digital twins negotiate and agree the terms for the parking booking. Once the user has left the parking space, the payment transactions are sent automatically.
  • DDN (Decentralized Delivery Network): Forget Uber, Lyft, Deliveroo and any other centralized service providers you know of. That’s what DDN or decentralized delivery network is about - where you can interact with a service provider, negotiate your price and travel/have items delivered and have this done autonomously on your behalf. The advantages are plenty - you return value to local economies, you have unparalleled level of privacy and everything is decentralized - which means you keep control of your data

4.3 Travel

  • The FET powered Travel marketplace delivers an alternative method by which bookings can be taken: one where the customer and hotels deal with each other directly and as a result offer significant cost savings for both hotels and consumers. It aims to provide an unparalleled level of privacy for all its users by moving the private data away from centralized entities by keeping it safe in each user’s smartphone and a personalized booking experience.

4.4 Supply Chain

  • The partnership between Fetch-ai Network and LiquidChefs aims to utilize Fetch-ai Network’s Autonomous Economic Agents integrated with its Search and Discovery Framework to build local and transparent supply chains, allowing LiquidChefs to search and connect with any sustainable supplier in its immediate vicinity. By digitizing and automating the LiquidChefs supply chain, Fetch-ai Network infrastructure will create a decentralized supply chain marketplace. This marketplace connects buyers and suppliers agents, in real time, to support dynamic, scalable, multi-agent supply chains.
  • This will allow individuals, organizations and assets to be represented as autonomous agents which work autonomously based on the users’ needs and preferences, such as finding local and sustainable suppliers. The decentralized supply chain marketplace was showcased at the Davos World Economic Forum in 2022.

5. Roadmap & Updates

5.1 Completed Milestones

Completion DateMilestoneCommentary
2020: Q3Launch of AtomixMedium Announcement
2021: Q1First stable release of the Agent (AEA) framework v1.0 releasedLink
2021: Q1Fetch-ai Network Mainnet v2.0 launchedLink
2021: Q2FET listed on CoinbaseLink
2021: Q2DeFi Agents (recently renamed to BotSwap) releasedLink
2021: Q2Multi-modal transport demo at IAAMedium Announcement
2021: Q4App demo for ethical and sustainable supply chains showcased at WEF Davos 2022Medium Announcement
2021: Q4FET listed on BitstampLink
2021: Q4FET listed on GeminiTweet
2022: Q1$150M Development fund launchedLink
2022: Q1Resonate.social launchedLink
2022: Q1FET listed on etoroLink
2022: Q1FET listed on VoyagerLink
2022: Q1Fetch-ai Network joins IBC and FET/OSMO listed on Osmosis DEXLink
2022: Q2FET listed on Kraken, Bitpanda,Link
2022: Q2DabbaFlow (CoLearn) launchedLink
2022: Q3Native FET token listed on Binance USTweet
2022: Q340000 new users onboarded to Fetch-ai NetworkLink

5.2 Current Roadmap

2022 Q3-Q4

  • Fetch-ai Network
    • Maintenance upgrade of the Fetch-ai Network for any security patches from the upstream Cosmos SDK releases
    • Eridanus release which will bring support for Group Module, BLS signatures, and cross chain composability using interchain accounts. This will also include patches from the upstream Cosmos SDK releases
  • External Protocol Integrations
    • Integrate with the Axelar bridge to support bi-directional transfer of Axelar supported EVM assets (including popular stablecoins) between the EVM ecosystem and the Fetch Ecosystem
    • Integrate with the SubQuery Indexer protocol to bring fast querying capabilities to the other Fetch-ai Network products such as the Fetch Wallet, and the Fetch Explorer. Additionally, make it available for the Fetch-ai Network Ecosystem projects by providing a Fetch-ai Network hosted indexing service.
  • Products and Tools
    • Fetch Wallet features
      • Integrating wallet to wallet messaging and notification service, including group messaging and group notification support
      • Swap support with integration of the Fetch-ai Network Ecosystem DEX - Starfleit
      • Other Features (non-exhaustive list)
    • Fetch Station Explorer Features
      • Improved UI/UX for general areas such as accounts and governance proposal
      • Ability to query and interact with contracts
      • NFT support
    • AEA - Autonomous Economic Agent framework and ACN - Agent Communication Network
      • Increasing community engagement to gather feedback for future feature development
      • Release improved documentation and education content on AEAs
      • Initial set of Agent component examples and crowdsourced examples for the AEA registry
    • Jenesis shell tool
      • Initial beta release of Jenesis shell tool to provide scaffolding for bootstrapping DApp development on the Fetch-ai Network
  • Ecosystem and Community (non-exhaustive list)
    • Launch Fetch Improvement Proposal (FIP) process
    • Launch of Fetch’s Digital Twin platform applications
    • Launch of Atomix Real-World Asset (RWA) lending protocol on the Testnet
      • Launch of RWA backed stable coin on the Testnet
    • Launch of Fetch-ai Network ecosystem DEX - Starfleit
    • Launch of GetMySlice GDPR compliant data sharing service

2023 Q1-Q2

  • Fetch-ai Network
    • Formax release supporting Cosmos SDK Lambda upgrade (v9)
    • Gemini release supporting Cosmos SDK Epilson upgrade (v10)
  • External Protocol Integrations
    • Add support for generic message passing from the Axelar bridge to support cross chain and cross ecosystem composability
    • Support upstream changes for the Axelar Bridge integration
    • Support upstream changes for the SubQuery Indexer integration
  • Products and Tools
    • Fetch Wallet features
      • Native mobile wallet
      • Bi-directional Open Banking integration
      • Support for EVM chains
      • Swap support for EVM assets using the Axelar Bridge
      • Off-chain decentralized peer-to-peer communication support
      • Wallet based analytics
    • Fetch Station Explorer Features
      • Launch of the Fetch Name Service
    • AEA - Autonomous Economic Agent framework and ACN - Agent Communication Network
      • Improved AEA registry
      • Improved Agent graphical UI
    • Jenesis shell tool
      • Add contract IDE and testing capabilities
  • Ecosystem and Community (non-exhaustive list)
    • Launch of Atomix Real-World Asset (RWA) lending protocol on the Mainnet
    • Launch of RWA backed stable coin on the Mainnet

5.3 Commercial and Business Development Progress

  • Bosch
    • Bosch is working with Fetch-ai Network as part of the launch of a fully functional blockchain network (v2.0 main-net), testing key features on the test-net. Sharing a common vision, the strategic advance engineering project “Economy of Things” (EoT) at Bosch Research and Fetch-ai Network aim to transform existing digital ecosystems using distributed ledger technologies (DLT) like blockchain.
  • Catena X
    • Catena-X is the first integrated, collaborative, open data ecosystem for the automotive industry of the future.
    • Together with other partners, Fetch-ai Network is supporting the Catena-X group in building a digital ecosystem that provides equal collaboration of all the stakeholders by setting up new standards in the automotive value chain along with building greater manufacturing and supply chain efficiency.
  • moveID
    • moveID is part of the Gaia-X 4 Future Mobility project family consisting of five consortia and aims to develop a decentralized digital identity infrastructure for mobility in Europe
    • Together with partners within moveID, Over the next three years, the GAIA-X 4 moveID project is set to develop the necessary standards and technological concepts to enable the secure exchange of information between providers of mobility applications and their customers. The goal is to create decentralized digital vehicle identities. This is an important prerequisite for the mass use of electric vehicles, automated driving, and the establishment of connected cities. GAIA-X 4 moveID is supported to the tune of 14 million euros by the German Federal Ministry for Economic Affairs and Climate Action – covering half of the project costs.
  • IOTA
    • IOTA is an open-source distributed ledger and cryptocurrency designed for the Internet of things.
    • Fetch-ai Network and IOTA’s collaboration enables granular control over data and to reduce the reliance on centralized systems that take advantage of data.
  • LiquidChefs
    • LiquidChefs specialise in the supply of portable bar hire, events bars and mobile cocktails bars, as well as, slick and stylish bartenders and baristas for any private or corporate event
    • This partnership paves the way for increased transparency within supply chains using autonomous economic agents and was showcased at WEF Davos 2022
  • IAA Mobility 2021
    • The IAA (Passenger Cars) event & brand is known as Germany's leading international automotive trade fair.
    • Fetch-ai Network along with its partners — Bosch, Datarella, and Ocean Protocol showcased our exciting collaboration demonstrating the technology involved in Deep Parking. Deep Parking is an application built upon AI and blockchain technology that finds parking spaces for automobile drivers that were previously unused.

6. Team Overview

Humayun Sheikh
Founder and CEO
Entrepreneur, Investor and Visionary | Founding Investor in DeepMind | Founder, CEO of uVue and itzMe | Passionate about Future of Distributed Economy | Key Focus on AI, Machine Learning, Blockchain and Token-based economies
 
Jonathan Ward
CTO
Senior Algorithm Engineer at DNA Electronics, Research Scientist at EMBL, Led development of novel minimal agency consensus protocol that solves node-as-intermediaries problem and makes blockchain viable for financial applications.
 
Kamal Ved
CPO - Fetch-ai Network
Venture Partner at Lunar Ventures, Executive director at brainbot technologies AG, Independent Technology and Business Strategy Consultant at Bosch.
 
Devon Bleibtrey
CPO - Fetch-ai app
Director of Technology at ESG Automotive USA, Director of Product development at Auklet, Co-Funder at Push Display. Advocate of effective team communication and collaboration.
 

7. Community

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As regulation around privacy and AI governance grows stricter, demand for confidential and permissionless training environments may continue rising.
 
This is the consumer on-ramp that complements the enterprise and research stories above.
 
Connecting the Dots: The Bigger Picture for Bittensor: Individually, these are impressive wins.
 
Together, they signal something more profound:
 
▫Enterprise bridge (SN44): Real corporate budgets and distribution channels via PwC.
▫Technical scalability (SN9): Solving the hard physics of decentralized training.
▫Product-market pull (SN4): Shipping usable AI to everyday users who value freedom and privacy.
 
Bittensor is no longer just incentivizing miners. It is evolving into a neutral, permissionless layer where multiple AI value chains can operate together, from world models and large-scale training to inference, compute, and consumer applications.
 
While many still focus on short-term moves such as subnet rotations, governance votes, or
$TAO price action amid post-Covenant recovery, the bigger shift is ecosystem maturity.
 
These developments help attract:
 
▫ Serious capital
▫ Strong technical talent
▫ Real enterprise demand
▫ Growing consumer usage
 
This week showed resilience and forward momentum.
 
Big Four validation, meaningful research breakthroughs, and live products all point to one thing: The vision is becoming real.
 
Final Thoughts: If you are only watching the chart, you may be missing the real shift. Bittensor is laying the groundwork to become the decentralized backbone for the next era of AI, not by competing head-on with closed labs on every metric, but by becoming the open, scalable, incentive-aligned alternative no single company can fully control or censor.
 
The pieces are moving.
 
The bigger picture is beginning to come into focus for those paying attention beyond the noise.
 

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📈Bittensor ($TAO) Staking📈
Learn how to stake your TAO and earn potential rewards.

Decentralized staking

Staking TAO tokens lets you earn rewards by supporting the Bittensor network. In return, you receive a share of the staking rewards.

Source: Taostats

In the Bittensor (TAO) ecosystem, there are two main ways people can stake their tokens: Root staking and Alpha staking. These represent two different strategies, with different levels of risk and reward.

Root staking was the first method introduced when Bittensor launched. It allows users to lock up their TAO tokens in the core part of the network (now called Subnet 0) to earn steady, “predictable” rewards. It's straightforward and carries less risk, making it a good fit for early users or anyone who prefers a more passive, steady approach. In essence, this is the “traditional” form of token staking seen in many crypto projects. Rather than simply holding your tokens, you delegate them to validators who help run and secure the network on your behalf.

Source: Taostats.io

Later, on February 13, 2025, Alpha staking was introduced as part of a major network upgrade called Dynamic TAO (dTAO). This upgrade created subnet-specific tokens called Alpha tokens, which users receive when they stake TAO into subnets. If you’re not familiar with the concept of subnets and Bittensor infrastructure, please check out Bittensor project review. Alpha tokens can go up or down in value, but they also offer a chance for much higher rewards, especially in new or fast-growing subnets. It has more complex staking dynamics and comes with more risk, but also more opportunity if you're actively involved.

Source: Taostats.io

In both Root and Alpha staking, there’s no fixed lock-up period—you can stake or unstake your TAO tokens at any time. However, while your tokens are staked, they’re temporarily locked, which means you can’t trade or transfer them until you unstake.

In Root staking, staking rewards are simple and “stable”. However, the reward amount (APY) is slowly going down over time. It’s because the network is moving more rewards toward Alpha staking.

In Alpha staking, things work differently. You first change your TAO into special tokens called Alpha tokens, which are connected to subnets. When you hold Alpha tokens, your balance grows as and when the subnet earns daily rewards. The more TAO is staked into a subnet, the more rewards it gets. If you want to exit, you must convert your Alpha tokens back to TAO. This process can be affected by market prices and might give you less TAO back than you put in, depending on the timing. This method can earn you more than Root staking, but it depends on how well your chosen subnet performs and how much activity it gets.

With Root staking, your rewards are based on how well your validator performs in the network. In Alpha staking, you stake your TAO into a subnet, and your rewards depend on the overall performance of that subnet. Subnets that provide more value to the network receive more emissions, which increases your Alpha token balance.

Centralized staking

Centralized TAO staking, offered by platforms like Coinbase, is a simple and beginner-friendly option where the exchange handles the staking process for you. You earn a fixed reward rate of around 17.3% APY. While your tokens are temporarily locked during staking, there are no additional lock-up periods beyond what the network requires. The main trade-off between centralized and decentralized staking is convenience versus control.

Staking is a great way to put your TAO to work while contributing to the network's security. But, it's important to understand the terms before participating, as rewards and conditions may differ depending on the platform you choose.

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🧬VINDICATED! The Epstein Files Connect Gates, Pandemics & Censorship to a Globalist Blueprint for a Biosecurity State🧬

Every warning. Every documentary. Every article. Every post that got us banned. All of it was true. Now what? What can we do? Read on, share this Substack, help us save lives! The Light is shining! ✹

Well, well, well
 look what the cat dragged in.

Actually, scratch that. Look what the Department of Justice finally dragged out of Jeffrey Epstein’s email inbox and dumped on the world’s doorstep like a rotting corpse nobody wanted to claim. Yep, that’s right. The Epstein files. It’s hilarious how the “Democratic hoax” and “fantasy” client list we were all told didn’t exist suddenly became a very real, very unsealed document.

For years—years—they called us conspiracy theorists. They slapped “misinformation” labels on our posts faster than Pfizer could print liability waivers. They kicked us off platforms, lied about us in the media, and shadow-banned our reach. Meanwhile, the real conspiracy—the one typed out in black-and-white emails between billionaires, bankers, and a convicted pedophile—was sitting in a government vault, waiting to prove us right.

And now? Now the receipts are public.

The release of Jeffrey Epstein’s files has done far more than expose a network of elite pedophilia and blackmail—it has vindicated truth-tellers like us and countless others who were smeared, censored, de-platformed, and persecuted for warning about the sinister agendas of the globalist elite. The documents reveal shocking connections between Epstein, Bill Gates, pandemic planning, and the systematic suppression of anyone who dared to connect the dots.

We weren’t crazy. We were just early. And they hated us for it.

Epstein, Gates, and the Pandemic “Business Model” They Built Together

One of the most damning revelations from Epstein’s files is his partnership with Bill Gates. Forget the carefully crafted PR spin about “regretting” those meetings. These weren’t casual dinners. These were planning sessions.

Back in 2015, Gates and Epstein exchanged emails about “preparing for pandemics” and strategies to “involve the WHO.” Gates wrote: “I hope we can pull this off.”

How’s that for a chill down your spine?

This eerily foreshadowed the 2019 Event 201 simulation—a pandemic exercise hosted by the Gates Foundation, Johns Hopkins, and the World Economic Forum that just happened to model a global coronavirus outbreak
 just months before COVID-19 ”mysteriously” emerged in Wuhan. Funny how that works, isn’t it?

But let’s rewind even further, to the real blueprint—the financial architecture that made the pandemic response not just possible, but profitable.

The story crystallizes in a chilling 2011 email exchange. Juliet Pullis, a JPMorgan executive under then-chairman Jes Staley, emailed Jeffrey Epstein with a list of detailed questions. The source? “The JPM team that is putting together some ideas for Gates.”

The questions were precise: What are the objectives? Is anonymity key? Who directs the investments and grants? This wasn’t JPMorgan consulting an expert; it was a trillion-dollar bank asking a convicted felon to architect a billion-dollar philanthropic fund for Bill Gates.

This wasn’t JPMorgan consulting a philanthropic expert. This was a trillion-dollar bank asking a convicted felon to architect a billion-dollar philanthropic fund for one of the richest men on Earth. Let that marinate for a moment.

Epstein’s reply was fluent and commanding. He described a donor-advised fund with a “stellar board” and ties to the Gates-Buffett “Giving Pledge.” He noted the billions already pledged and identified the gap: “They all have a tax advisor, but have no real clue on how to give it away.” His solution? “JPM would be an integral part. Not advisor
 operator, compliance.“ Staley’s response: “We need to talk.”

By July 2011, the plan evolved. In an email to Staley, copying Boris Nikolic (Gates’ chief science advisor), Epstein laid out the core pitch: “A silo based proposal that will get Bill more money for vaccines.”

Not “more research for pandemics.” Not “better public health infrastructure.” “More money for vaccines.” This is the unambiguous language of capital formation, not charity. It reveals the structure’s intended output planning reached the highest levels.

In August 2011, Mary Erdoes, CEO of JPMorgan’s $2+ trillion Asset & Wealth Management division, emailed Epstein (while on vacation) with additional operational questions.

Epstein’s reply was breathtaking in scope:

  • Scale: “Billions of dollars” in two years, “tens of billions by year 4.”

  • Structure: Donors choose from “silos” like mutual funds.

  • The Kicker: “However, we should be ready with an offshore arm — especially for vaccines.”

An offshore arm. For vaccines. For a charitable vehicle. Let that sink in.

So, by the time the world was panicking in March 2020, the financial machinery was already built. The investment vehicles, the donor-advised funds, the reinsurance products at places like Swiss Re, and even the simulation playbooks were dusted off and ready to go.

The pandemic wasn’t an interruption to their business—it was the Grand Opening.

Epstein’s role extended far beyond trafficking; he was a facilitator and blackmail operative for the global elite. The same forces that orchestrated the COVID-19 power grab—the mask mandates, lockdowns, censorship, and coercive mRNA push—are the ones who silenced critics like us.

Gates, despite his documented ties to Epstein (multiple flights on the “Lolita Express” after Epstein’s 2008 conviction), walks freely. He’s on TV. He’s advising governments. He’s still funding “global health initiatives” and pushing digital IDs, vaccine passports, and climate lockdowns.

Meanwhile, people like our friend, Joby Weeks, are under house arrest without charges, and voices like ours were de-platformed, demonetized, and destroyed for saying this very thing.

We told you. You knew it in your gut. Now you have the emails.

Censorship: The Elite’s “Misinformation” Label to Cover Their Crimes

The Epstein files expose not just criminal behavior, but the playbook for the systematic suppression of truth. While Epstein’s powerful friends were being protected by the FBI, the DOJ, and the media, platforms like Facebook (Meta), YouTube (Google), and Twitter went to war against anyone talking about it.

Think about the sheer audacity.

We were banned from social media for calling COVID-19 a “fake pandemic” and exposing the vaccine injury data that’s now undeniable.

Below is a screenshot of the first Facebook post that was taken down and then used as “Exhibit A” in their “reports” about how bad we were, naming us the 3rd most dangerous people on earth after Dr Joseph Mercola and Bobby Kennedy in the digital hit list they called the “Disinformation Dozen.” They attacked us, lied about us, and pressured the media, social media, and population at large to do the same: attack, threaten, and cast us out.

We were labeled “dangerous” for sharing emails, documents, and research that the DOJ and the CDC have now confirmed.

It was never about “safety.” It was about narrative control.

The same institutions that turned a blind eye to Epstein’s crimes for decades—the same ones that let him “commit suicide” in a maximum-security prison with cameras conveniently malfunctioning—suddenly became the ruthless hall monitors of “acceptable discourse,” ensuring only their approved stories could be told.

Big Tech, Big Media, and Big Government are all part of the same protection racket. They shielded Epstein’s client list, and now they shield the architects of the pandemic debacle. Independent journalists, researchers, and health advocates like us, who connected these dots, were systematically de-platformed, demonetized, and destroyed.

Why? Because we were right, and that was the greatest threat of all.

When you’re over the target, that’s when the flak gets heaviest. And brothers and sisters, we were getting shelled.

They Lied About Us While Protecting the Real Criminals

Let’s be crystal clear about what happened here.

We have spent decades exposing the cancer industry, Big Pharma’s corruption, and the suppression of natural health solutions. We produced The Truth About Cancer docu-series, reaching millions worldwide. We warned about vaccine injuries, censorship, and the coming medical tyranny years before COVID-19.

And what did they do? They called us “Conspiracy Theorists,” “Anti-Vaxxers,” and “Killers.” Dangerous.

They said we were killing people with “misinformation.”

Facebook banned us. YouTube deleted our videos. Legacy media ran hit pieces. PayPal froze our accounts.

All while Bill Gates—a man with documented ties to Jeffrey Epstein, who flew on his plane multiple times after Epstein’s conviction, who got STDs from Russian girls Epstein provided for him for which Gates asked Epstein’s help getting him antibiotics to slip secretly to his then wife, Melinda, so that she would not know about his inexcusable and perverted escapades—yes, THAT Bill Gates—was at the same time, being platformed on every major news network as the world’s health oracle.

All while Anthony Fauci—who funded gain-of-function research in Wuhan through Peter Daszak and EcoHealth Alliance, who lied under oath to Congress, who flip-flopped on masks, lockdowns, and vaccines—was treated like a saint. Time Magazine’s “Guardian of the Year.”

All while Pfizer—a company with a $2.3 billion criminal fine for fraudulent marketing, bribery, and kickbacks—was given blanket immunity from liability and billions in taxpayer dollars to produce a vaccine in record time with no long-term safety data.

Were we the dangerous ones?

No.

We were the truthful ones. And that made us the enemy.

The Weaponized Institutions: From Epstein’s Blackmail to Your Digital ID

Epstein’s operation was never just about blackmail for perversion; it was blackmail for control. The files show his cozy ties to intelligence agencies (Mossad, CIA), financial giants like JPMorgan and Deutsche Bank, and political leaders across the globe.

This is the same cabal now pushing:

  • The Great Reset

  • Digital IDs

  • Central Bank Digital Currencies (CBDCs)

  • 15-minute cities

  • Carbon credit social scoring

  • Vaccine passports

Let’s connect the dots they desperately don’t want you to see:

Financial Control:

JPMorgan banked Epstein for years despite clear red flags—over $1 billion in suspicious transactions flagged internally and ignored. They knew. They didn’t care. They paid a $290 million fine and moved on.

Now, banks like Bank of America, Chase, and PayPal de-bank conservatives, truckers, health freedom advocates, and anyone who questions the narrative. Canadian truckers. Gun shops. Crypto entrepreneurs. The goal is the same: punish dissent and control economic life.

CBDCs are the endgame—a digital leash on every citizen. Programmable money that can be turned off, restricted, or expired. Social credit by another name.

Medical Tyranny:

The FDA, CDC, and WHO—utterly captured by Big Pharma—lied about:

  • COVID origins (Wuhan lab leak dismissed as conspiracy theory)

  • Vaccine efficacy (”95% effective” turned into “you need boosters forever”)

  • Natural immunity (ignored despite being superior)

  • Early treatments (ivermectin, hydroxychloroquine, vitamin D censored and mocked)

They attacked natural health advocates just as they’ve done for decades with cancer cures, detox protocols, and anything that threatens Big Pharma profits. They are not health agencies; they are profit-enforcement arms dressed in lab coats.

Political Corruption:

Epstein’s blackmail ensured elite immunity. His client list includes presidents, princes, CEOs, scientists, and media moguls.

Meanwhile, true dissidents—Julian Assange (tortured in prison for journalism), Edward Snowden (exiled for exposing mass surveillance), and journalists like us—face persecution, imprisonment, debanking, slanderous hit pieces, and/or constant character assassination.

Two systems of justice: one for them, one for you. One for Epstein’s friends, one for truth-tellers.

The Way Forward: They’re Exposed. Now It’s Time to Build.

The Epstein files are more than proof; they are a declaration that the system is rotten to its core. But here’s the beautiful part: they vindicate us completely.

Every warning. Every documentary. Every article. Every post that got us banned. All of it was true.

The globalists’ grip is weakening. The truth—the real, ugly, documented truth—is erupting from the very files they tried to hide. They labeled us liars, but the emails show they were the architects. They silenced us, they censored us, but that only made our voices more necessary.

Epstein did not kill himself. COVID-19 was not natural. The vaccines were not safe or effective. The censorship was not about protecting you—it was about protecting them.

And now? Now it’s time to use this vindication as fuel. Not for revenge, but for revolution. A revolution of truth, health, freedom, and justice.

They tried to bury us. They didn’t know we were seeds.

The Epstein files are a smoking gun. A paper trail. A confession written in emails, financial structures, and offshore accounts.

They prove what we’ve been saying all along:

  • The system is rigged.

  • The elites are criminals.

  • The pandemic was planned.

  • The censorship was coordinated.

And we were right. 👍

Source

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