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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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3I/ATLAS — Secret Laws Of Gravity
Unlocking the future of space travel through the precise calculation of time and orbital trajectories.

"My preliminary analysis suggests two principal hypotheses regarding the reported phenomenon known as '3I/Atlas':

  1. A Coordinated Psychological Operation (PsyOp): The phenomenon may constitute a calculated effort to manipulate public sentiment or induce fear, potentially preceding a planned, large-scale deception (referred to informally as 'Project Bluebeam').

  2. A Highly Anomalous Object: Alternatively, the phenomenon represents an authentic, significant anomaly warranting serious scientific or intelligence scrutiny.

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New data is now showing something that arrived early and its changing colors as we previously predicted.

In orbital mechanics where trajectories are calculated centuries in advance with accurate precision measured in seconds.

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It’s not a typo in the database.

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"It’s Physically impossible.”

Now The longest government shutdown in U.S. history still blocking NASA releases while the object executed its closest Fly-by approaches to Mars, The Sun and Venus at the moment of maximum observational blackout.

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Our observations Don’t Stop.

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“If 3I/ATLAS is natural, it should have lost about 5.5 billion tons of mass.”

It didn't.

1. The 5.5 Billion Ton Problem:

Let’s start with what everyone agrees on: 3I/ATLAS “now” arrived earlier than pure gravitational predictions would allow. Even though we have been mentioning this trajectory change over 2 Weeks ago (October 21st Article HERE) TRACKING 3I/ATLAS .

The scientific consensus explanation? “Natural outgassing” the "rocket effect." As water ice sublimates near the Sun, it creates thrust, like a slow-motion rocket engine powered by evaporating ice. Comets do this all the time. It’s normal. It’s natural. It’s explainable.

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“The Physics Don’t Add Up!”

To generate enough thrust to arrive approximately “11 minutes early” would require shedding a staggering amount of mass.

Our calculations show “over 5.5 billion tons” of gas ejected over the perihelion passage.

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That’s not a little puff of vapor.

That’s not some gas leaking from surface cracks.

That’s 15% of the object’s total estimated mass.

If 3I/ATLAS lost that much material naturally, it would create a debris cloud larger than Jupiter’s magnetosphere—visible to amateur telescopes from Earth. Absolutely impossible to miss in professional observations, and bright enough to be catalogued by every sky survey on the planet.

1.1 ~ The Plume Paradox:

Here’s where it gets interesting:

No such cloud has yet to be observed.

Not by Hubble. Not by JWST. Not by ground-based observatories. Not by the Mars orbiters that watched it pass at 30 million kilometers.

The brightness remained within “expected limits.” The coma showed stable & geometric shifting features. The tail structure now disappeared (but that’s another story). The main one is that: “The debris cloud that should exist — simply doesn’t.”

This isn't a minor discrepancy.

This is complete, mathematical failure of the natural comet hypothesis.

Part 2: The Industrial Signature:

So if natural sublimation didn't create the thrust, what did?

The answer is hidden in the chemistry—specifically, in what shouldn’t be there. “The Nickel Anomaly.” When multiple astronomers analyzed 3I/ATLAS’s spectral signature, they found something extraordinary: “nickel vapor” (Ni) at extreme distances from the Sun, where temperatures should be far too cold for metals to vaporize naturally.

Nickel doesn't just evaporate on its own at those temperatures.

It needs HELP.

And there’s only one known process—natural or industrial—that produces a volatile nickel-carbon compound at cold temperatures which we have said several times previously;

Nickel Tetracarbonyl: Ni(CO)₄

This is not a natural cosmic process.

This is an “industrial chemical pathway” used on EARTH for metal refinement!!!

It forms at 120°C and decomposes at 180°C allowing nickel to vaporize at temperatures where water ice would remain frozen solid.

It is LITERALLY, an industrial refrigerant for metal processing.

The presence of Ni(CO)₄ in the plume tells us two things:

  • The core is not ice — It’s a nickel-rich, engineered structure.
  • The process is not passive sublimation — it’s an active, controlled system.

The nickel vapor isn’t contamination.

It’s not a coincidence.

It’s Exhaust.

3. Secret Gravity (SOEG) Model:

This is where our research team proposes something NEW.

We call it The “Self-Optimizing Ejection Guidance (SOEG) Model”

A Brand New Scientifically defensible framework that explains the acceleration not as chaotic outgassing, but as “controlled propulsion.”

The SOEG Model (Project EE / 3IE)

The System:
‱ Volatile Reservoir — CO₂ ice + Nickel-rich metallic core.
‱ Solar Heating — Perihelion triggers sublimation at optimal moment.
‱ Magnetic Ionization — Internal magnetic field ionizes nickel vapor into plasma.
‱ Anisotropic Jets — Plasma channeled through focused nozzles. (not random cracks)
‱ Thrust Optimization — Maximum momentum transfer with minimal mass loss.

Unlike natural cometary outgassing—which is chaotic, omnidirectional, and wildly inefficient. The SOEG Model Fully Represents: (CONTROLLED, DIRECTIONAL, OPTIMIZED PROPULSION.)

It’s the engineering solution to interstellar navigation: Using a “magnetofluidic drive” that uses the Sun’s + Nearby Planets & Star energy to activate a propulsion system that was BUILT.

The secret is in the magnetic field. By ionizing the nickel-carbon vapor into a high-velocity plasma jet, the system achieves thrust efficiencies that natural sublimation could never match.

This isn’t science fiction. This is “magnetohydrodynamics” the same physics that powers experimental plasma thrusters being developed by NASA and ESA for deep-space missions.

The difference?

We’re building prototypes


Someone else already perfected it.

4. The Scientific Statistical Test:

Here’s what makes it undeniable.

Natural comets exhibit HIGH temporal variance in their acceleration parameters.

Technical terms like (A₁) and (A₂) that describe how thrust changes over time. Natural outgassing is messy, chaotic & unpredictable.

Our Prediction:

We formally predict that when sufficient post-perihelion data is published — expected from JUICE observations (data release February 2026) and ground-based telescopes through December 2025— 3I/ATLAS WILL show:

  • (A₂ parameter near zero) — phase-locked rotational coherence.
  • Temporal drift < 0.5σ — stability far beyond natural variance.
  • “Thrust vector alignment” with rotational axis — body-fixed engine signature.

If ALL 3 conditions are met.

The probability that 3I/ATLAS is a natural comet drops below 0.01% (a >4σ statistical rejection).

This is not speculation. This is a time-stamped, falsifiable prediction.

By February — March 2026, we will either be proven right or wrong.

The data doesn’t care about our theories. It only cares about what actually happens.

5. The Blue Hue đŸ””:

Now there’s one more piece of evidence—and it’s visible to the naked eye (well, through a telescope). “The Color Anomaly.”

Natural comets scatter sunlight off dust particles, producing a yellowish-red glow. At 1.36 AU from the Sun, 3I/ATLAS should have appeared reddish-orange from thermal emission.

Instead, observers noted something strange: “A distinct blue fluorescence” in the coma.

What Blue Light Means?

Blue emission in a comet’s coma comes from highly ionized species—primarily “CO” (carbon monoxide ions) and certain excited metallic vapors. This requires enormous, “FOCUSED” energy to achieve.

You don’t get this level of ionization from passive solar heating. You get it from ~ Active Plasma Generation. The blue hue is the visible proof of the SOEG engine operating at perihelion. It’s the "engine glow" of a magnetofluidic drive generating high-energy plasma to achieve maximum thrust efficiency.

Compare:
- Natural comets (Hale-Bopp, NEOWISE, 67P, Etc.): Usual Yellowish-red dust scattering.
- Expected for 3I/ATLAS at 1.36 AU: Reddish-orange thermal glow.
- Observed in 3I/ATLAS: Distinct “Blue” plasma fluorescence.

This isn't subtle.

This is the difference between reflected sunlight and an active thruster firing.

5.5 ~ Convergence of Evidence:

Let's put it all together.

The Self-Optimizing Ejection Guidance (SOEG) Model is not speculation. It’s not wild theorizing. It’s one of the only frameworks that coherently explains:

✅ The early arrival— non-gravitational acceleration without natural explanation.

✅ The missing 5.5-billion-ton debris cloud — controlled thrust with minimal mass loss.

✅ The Ni(CO)₄ industrial signature — engineered propulsion chemistry.

✅ The blue plasma glow — active ionization system visible during perihelion.

✅ The statistical impossibility — phase-locked stability beyond natural variance. (pending verification)

However each piece of evidence, standing alone, is anomalous but potentially explainable.

Together, they form an interlocking pattern that demands a technological origin.

But then there’s the Silence.

Venus conjunction: Still offline.

This is not incompetence.

This is recognition.

THEY know something we’re still calculating.

December 19, 2025: 3I/ATLAS reaches closest approach to Earth at 167 million miles.

“If the calculations are correct, the 5.5-billion-ton debris cloud should be impossible to miss. Every telescope on the planet will be watching.”

All of this new information scheduled to be released should definitely include the following: High-resolution spectroscopy, morphological analysis, particle environment data and MOST CRITICALLY the astrometric parameters that will confirm or refute our SOEG model’s predictions.

“If the A₂ parameter shows phase-locked stability, the SOEG model is confirmed.”

Conclusion:

The Numbers Don’t Lie. The orbital path was not set by gravity alone. The acceleration was not powered by ice. The chemistry was not natural. And the timing is not “coincidental.”

3I/ATLAS is a message written in orbital mechanics, plasma physics, and industrial chemistry—a message we have “74 days” left to fully decode.

The mathematics are clear.

The predictions are calculated.

We don't have to speculate about what it is.

“We just have to (wait) for the complete data packet to arrive.”

And when it does, one of two things will happen:

Either the natural hypothesis survives (unlikely, given the evidence). Or we confirm what the numbers have been screaming to us since October are TRUE.

“Something pushed it. Something controlled it. Something arrived exactly when it needed to.”

Or The A-parameters will lock.

The plasma signature will confirm.

The debris cloud will be absent.

And the institutional silence will make perfect sense.

Because you don’t announce a discovery like this through a press release.

You announce it through a “Calculated Strategy.”

Analogy Conclusion:

The orbital path was set by laws that were not known,
For where the starlight failed, a force was subtly sown.

No dust and ice, but Nickel in the plume’s blue gleam,
A pulse of hidden power, of controlled, forgotten dreams.

The A-Parameter locks, The true secret of the sphere,
The Simultaneous Truth arrives, When all the numbers are near.

— Earth Exists

Additional Reference & Data Source Links đŸ–‡ïž:

EARTH EXISTS Documentation:
- [Previous article. 35 Days of Silence — 3I/ATLAS]

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BlackRock Is Manipulating The Price Of Bitcoin👀

Blackrock possess a strategic depth that goes far beyond initial appearances. When the general market perceives selling and traders respond with emotion, these major players are often operating on a much more profound level. They adeptly identify and leverage every available mechanism to influence market dynamics. Their power isn't in direct control of the asset, but in understanding how to move the market without ever taking direct ownership.

What entity has become the most prominent corporate champion of Bitcoin ($BTC)?

It's the one with the massive treasury holdings, known as Microstrategy.

 

However, the major strategic challenge lies here: the size of their Bitcoin position is fundamentally linked to their external financing, typically in the form of debt.

This reliance on significant debt creates an inherent vulnerability—a dependence on creditors and shareholders. When an entity's position is highly leveraged, that dependence makes them susceptible to market manipulation or strategic pressure from external financial forces.

When a highly leveraged corporate holder of a significant asset (like $BTC) faces external financial stress, that pressure inevitably transfers to the asset itself.

Blackrock's goal isn't to induce a market crash, but rather to establish a dominant position and control.

Any substantial sale of major cryptocurrencies like $BTC or $ETH initiated by Blackrock, can be interpreted not as routine trading, but as a deliberate effort to manipulate market sentiment and pricing.

Blackrock is deploying a sophisticated combination of tactics: they simultaneously generate market volatility through strategic sales of the asset ($BTC) while accumulating shares in key corporate holders (the stock symbolized by $MSTR).

The deeper intent is to leverage this equity stake to direct the corporate strategy of the highly leveraged Bitcoin champion.

With a sufficiently large ownership percentage, this influence becomes highly effective. The resulting market power is therefore a function of both manipulating price movement and controlling corporate policy.

Is Microstrategy (the company represented by the $MSTR stock) vulnerable to this kind of pressure? The evidence suggests yes.

A substantial stake held by Blackrock grants them effective leverage to influence and manipulate the company itself.

When the company's shares experience a significant decline, the leadership is often compelled to take action, potentially buying back their own stock. This action is driven by the fact that falling share prices directly intensify financial and market pressure on the entire organization.

If the stock of Microstrategy continues a sustained decline, lenders will inevitably begin to re-evaluate and revise the terms of existing loans. This is a critical point of failure for the entire strategy.

The fundamental operational model of this corporate champion works like a closed loop:

  • It secures debt financing (taking loans) to acquire $BTC.

  • Alternatively, it issues new equity (selling shares) to acquire $BTC.

Crucially, the ongoing interest payments on this substantial debt are often managed by the mechanism of issuing even more shares, creating a continuous cycle of dilution and reliance on a high stock price.

A major consequence of rising leverage is the escalating cost of borrowing, requiring Microstrategy to source even larger amounts of capital.

The most straightforward solution—to issue and sell more stock—proved to be insufficient.

In fact, the situation worsened: the company’s recent attempt to raise funds through a stock offering did not fully sell out. This failure directly resulted in a significant liquidity shortfall, hamstringing Microstrategy’s ability to meet its financial obligations and continue its asset acquisition strategy.

And the ultimate shock came when Microstrategy—the very entity that vowed it would never liquidate its holdings—began to sell.

These weren't insignificant trades; the sales were valued at billions of dollars.

The key question now becomes: Does this sudden, massive reversal signal the imminent collapse of Microstrategy, or is it simply a necessary, albeit drastic, maneuver of 'business as usual' under extreme duress?

There appear to be two primary strategic objectives behind Blackrock's calculated moves:

  • Scenario A (Direct Dominance): Blackrock aims to neutralize its most prominent competitor (the corporate Bitcoin accumulator) in order to seize the title as the largest holder of $BTC.

  • Scenario B (Indirect Control): The institution’s goal is to establish absolute market control and influence, preferring to leverage Microstrategy to execute the most aggressive or politically difficult actions.

The outright financial destruction of Microstrategy is highly improbable. Such an action would trigger a severe market crash that could take years to fully repair.

The far more intelligent strategy is integration and control.

Under this model, Microstrategy remains operational, while Blackrock secretly dictates strategy. This allows Microstrategy to absorb the market blame for any necessary but controversial manipulation, a classic and often dirty tactic used by high-powered financial entities.

In the immediate future, the market will continue to exhibit strong reactions to the strategic maneuvers of Blackrock.

When they execute sales, it instantly captures headlines, is aggressively amplified by the media, and causes fearful retail traders ('weak hands') to panic and exit their positions.

Every decrease in price that results from this panic directly translates into a superior entry point for Blackrock. This clearly illustrates that the current market environment is driven purely by emotion, making it a survival game reserved only for those with the strongest resolve.

In the long run, the nature of $BTC will likely shift, moving away from its original ideals of being completely free and decentralized.

The vast majority of the available supply is projected to become highly concentrated within a small number of major corporations and investment funds.

Consequently, the price cycles will no longer be reliably tied to events like halvings or popular narratives. Instead, they will be driven primarily by government and central bank policy decisions, overarching macroeconomic conditions, and the internal political maneuverings of the world's most dominant funds and corporations.

Blackrock's goal is not to eliminate $BTC; instead, they are focused on constructing an elaborate system of control around the asset.

Microstrategy (the stock symbolized by $MSTR) remains a powerful tool, but it now operates under terms and directives that the company's leadership no longer fully dictates.

Since direct command over the decentralized asset is impossible, control is established through strategic influence over the largest corporate and fund custodians. Moving forward, Blackrock will be the primary entity determining the market's trajectory.

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A Request for NASA to Release Scientific Data on 3I/ATLAS

During my recent podcast interview with Joe Rogan (accessible here), I had mentioned the unfortunate circumstances, under which NASA had not released for four weeks the images collected by the HiRISE camera onboard the Mars Reconnaissance Orbiter. These images were taken on October 2–3, 2025, when the interstellar object 3I/ATLAS passed within 30 million kilometers from Mars. The images are extremely valuable scientifically because they possess a spatial resolution of 30 kilometers per pixel, about 3 times better than the spatial resolution achieved in the best publicly available image from the Hubble Space Telescope, taken on July 21, 2025 (accessible here and analyzed here). Whereas the Hubble image was taken from an edge-on perspective since Earth and the Sun were separated by only ~10 degrees relative to distant 3I/ATLAS, the HiRISE image offers a sideways perspective, valuable in decoding the mass loss geometry and glow around as it approached the Sun.

The delay in the data release was argued to be the result of the government shutdown on October 1, 2025. Nevertheless, conspiracy theorists suggested that it may have to do with evidence for extraterrestrial intelligence in the HiRISE images. When asked about it, I suggested that the delay is probably not a sign of extraterrestrial intelligence but rather of terrestrial stupidity. We should not hold science hostage to the shutdown politics of the day. The scientific community would have greatly benefited from the dissemination of this time-sensitive data as astronomers plan follow-up observations in the coming months.

Joe Rogan suggested that I contact the interim NASA administrator, Sean Duffy. The following day, I corresponded with congresswoman Anna Paulina Luna regarding a related formal request from NASA. Following our exchange, Representative Luna wrote a brilliant letter to NASA’s acting administrator Duffy.

We all owe a debt of deep gratitude for the visionary support displayed by Representative Luna to frontier science through her letter, attached below.

Avi Loeb is the head of the Galileo Project, founding director of Harvard University’s — Black Hole Initiative, director of the Institute for Theory and Computation at the Harvard-Smithsonian Center for Astrophysics, and the former chair of the astronomy department at Harvard University (2011–2020). He is a former member of the President’s Council of Advisors on Science and Technology and a former chair of the Board on Physics and Astronomy of the National Academies. He is the bestselling author of “Extraterrestrial: The First Sign of Intelligent Life Beyond Earth” and a co-author of the textbook “Life in the Cosmos”, both published in 2021. The paperback edition of his new book, titled “Interstellar”, was published in August 2024.

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