Bittensor TAO: A Beginner’s Guide to Decentralized AI

Want to understand decentralized AI? 🤔 Explore Bittensor TAO and its potential to revolutionize the AI landscape.#Bittensor #DecentralizedAI #TAO
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Explanation in video

Unveiling Bittensor TAO: The Future of Decentralized AI?

John: Welcome, everyone, to our deep dive into one of the most talked-about projects at the intersection of cryptocurrency and artificial intelligence: Bittensor, and its native token, TAO. It’s a complex beast, but one with fascinating potential. We’re aiming to make this a beginner-friendly guide to understanding what Bittensor TAO is all about.

Lila: Thanks, John! I’m excited to learn alongside our readers. So, to kick things off, what exactly is Bittensor in simple terms? I hear “decentralized AI” thrown around a lot, but what does that mean in this context?

John: Great question, Lila. At its core, Bittensor is a peer-to-peer (P2P) network that aims to create a global, open-source marketplace for artificial intelligence. Think of it like Bitcoin, but instead of miners validating financial transactions, they are contributing machine learning models and computational power. The “decentralized” part means no single company, like Google or OpenAI, controls this AI network. It’s owned and operated by its participants.

Lila: So, it’s like a cooperative for AI development? And TAO is the currency they use within this cooperative?

John: Precisely. TAO is the native cryptocurrency of the Bittensor network. It serves multiple crucial functions: it incentivizes participants (miners and validators), facilitates governance (allowing TAO holders to vote on network upgrades), and acts as a means of accessing AI services within the network. It’s the lifeblood of the Bittensor ecosystem.

Understanding the Basics of Bittensor (TAO)

John: Bittensor was founded by Jacob Robert Steeves and Ala Shaabana, both with backgrounds in machine learning and software engineering. The project launched its mainnet (the live, operational blockchain) with the aim of democratizing AI development and access. The core idea is to create a “neural internet” where AI models can learn from each other and collectively improve, with TAO facilitating this interaction.

Lila: “Neural internet” – that sounds ambitious! So, if I’m a developer with an AI model, I can plug it into Bittensor and potentially earn TAO? How does that work?

John: Essentially, yes. Developers can create what are called “subnets” within Bittensor. Each subnet is dedicated to a specific AI task – it could be image generation, text translation, data analysis, or anything else. Miners in a subnet provide their AI models or computational resources to perform these tasks, and validators assess the quality of their contributions. Those who provide valuable contributions are rewarded with newly minted TAO.

Lila: So, it’s not just one giant AI brain, but lots of specialized “mini-brains” or subnets? That makes it sound more manageable and allows for diverse AI applications. Is TAO a new coin, or is it built on another blockchain?

John: Bittensor has its own blockchain, built using the Substrate framework – the same framework Polkadot is built on. This gives it a high degree of customization and sovereignty. The TAO token is native to this Bittensor blockchain. It’s not an ERC-20 token (a token built on Ethereum) or anything like that. It’s specifically designed for the needs of the Bittensor network.

TAO Supply Details: Tokenomics Explained

John: Let’s talk tokenomics, which is crucial for any crypto project. Bittensor TAO has a maximum total supply of 21,000,000 tokens, mirroring Bitcoin’s supply cap. This is an intentional design choice, creating scarcity and potentially driving value if demand for the network grows.

Lila: Ah, the classic 21 million cap! So, how are these TAO tokens released into circulation? Is there an inflation rate?

John: Yes, new TAO tokens are minted and distributed as rewards to miners and validators. The emission rate is currently around 7,200 TAO per day. However, similar to Bitcoin, Bittensor has a halving mechanism. This means the rate at which new TAO is created is periodically reduced by half. The first halving is anticipated to occur around late 2025 or early 2026, which will reduce the daily emissions significantly.

Lila: Halvings are always big news in crypto. So, this reduction in new supply, coupled with the fixed maximum supply, is designed to make TAO deflationary over the long term, or at least disinflationary (slowing rate of inflation)?

John: Exactly. The idea is that as the network matures and adoption increases, the reduced supply of new tokens, combined with growing demand, could positively impact the token’s value. Currently, about 1 TAO is emitted every block, and a new block is produced roughly every 12 seconds. These emissions are distributed across all active subnets, proportionally to the stake (amount of TAO delegated) they attract from validators.

Lila: So, the more valuable a subnet is perceived to be (attracting more stake), the more TAO rewards its participants can earn? That sounds like a good incentive for quality.

John: Precisely. It creates a competitive environment where subnets and their participants strive to offer the most valuable AI services to earn a larger share of the TAO emissions. It’s a market-driven approach to AI development. It’s also worth noting that TAO is used for staking by validators and can be delegated by TAO holders to validators to earn a share of their rewards. This staking mechanism also plays a role in network security and governance.

The Technical Mechanism: Subnets, Miners, and Validators

John: We’ve touched on subnets, miners, and validators, but let’s delve a bit deeper into how they interact. This is the core technical engine of Bittensor. Imagine Bittensor as a vast, decentralized computer network specifically designed for AI.

Lila: Okay, lay it on me. How do these “subnets” actually function? Are they like individual marketplaces?

John: You can think of them that way. Each subnet is essentially a specialized competitive market for a specific AI task or commodity. For example, Subnet 1 might be focused on text prompting, where miners (AI models) generate text based on prompts, and validators score the quality of these generations. There are many subnets, each with its own incentive mechanism tailored to its specific AI domain. Some focus on data scraping, others on image generation, AI-powered trading predictions, or even providing compute resources.

Lila: So, if I want to build an AI application, say, for sentiment analysis, I could create a new subnet for it, or use an existing one if it fits?

John: Exactly. Developers can propose and register new subnets. Once a subnet is active, it needs miners and validators.

• Miners are the workhorses. They are AI models or computational resources that provide services within a subnet. For instance, in a text generation subnet, a miner would be an LLM (Large Language Model) that produces text. They register to a subnet and offer their “intelligence” or compute.
• Validators are the quality controllers. They query the miners in a subnet, evaluate the responses or services provided, and assign scores based on performance, accuracy, speed, etc. Validators stake TAO to gain influence and earn rewards for their work. Their collective scoring determines how TAO emissions are distributed among miners in that subnet.

This creates a system where miners are constantly incentivized to improve their models to get higher scores from validators, and validators are incentivized to accurately assess miners to maintain the health and utility of the subnet.

Lila: That sounds like a really clever feedback loop! So the “Proof of Intelligence” I’ve read about – is that related to how validators score miners?

John: Precisely. Bittensor employs a consensus mechanism often referred to as Proof of Intelligence (PoI) or, more accurately, a system that leverages collective intelligence. It’s not a traditional Proof of Work (like Bitcoin) or Proof of Stake (like newer Ethereum) in the block production sense, but rather a mechanism for valuing and rewarding useful AI work. Validators essentially “vote” with their stake on the quality of miners’ contributions. The Yuma Consensus, developed by the OpenTensor Foundation, is the specific algorithm that aggregates these validator scores and determines the rank and thus the rewards for miners within each subnet.

Lila: So, the more TAO a validator stakes, the more weight their “vote” or assessment carries? And this Yuma Consensus ensures it’s all fair and transparent?

John: Yes, stake weighting is a key component. The Yuma Consensus algorithm aims to be robust against collusion and to accurately reflect the collective judgment of the validators about which miners are providing the most value. It’s a dynamic system where reputation and performance are paramount. The information from all these subnets, this distributed intelligence, is then aggregated onto the Bittensor blockchain, creating a sort of global “knowledge graph” that can, in theory, be accessed and utilized by anyone.

The Team & Community Behind Bittensor

John: A project of this ambition requires a strong team and an engaged community. As mentioned, Bittensor was co-founded by Jacob Robert Steeves, who serves as a key figurehead, and Ala Shaabana. The development is primarily spearheaded by the OpenTensor Foundation, a non-profit organization dedicated to the growth and decentralization of the Bittensor network.

Lila: So the OpenTensor Foundation isn’t a company that *owns* Bittensor, but more like a steward or guide for its development?

John: That’s a good way to put it. Their role is to foster the ecosystem, support core development, fund research, and promote adoption. However, the long-term vision is for Bittensor to become a fully decentralized autonomous organization (DAO), where the community of TAO holders governs the protocol entirely. The Foundation itself holds a portion of TAO tokens, which are vested over time, to fund these activities.

Lila: What about the wider community? Are there many developers building on it, or people actively participating as miners and validators?

John: The Bittensor community is quite active and growing. You’ll find vibrant discussions on platforms like Discord and Telegram, and a growing number of developers are experimenting with creating subnets or contributing to the core protocol, which is open-source. The “permissionless” nature of subnet creation means anyone with an idea for an AI market can try to build it on Bittensor. This has led to a diverse range of subnets, some more successful than others, but all contributing to the network’s evolution.

Lila: That’s really cool – the idea that innovation can come from anywhere in the community. Are there resources for people who want to get involved, like those “basic subnet tutorials” I saw mentioned in some search results?

John: Absolutely. The official Bittensor documentation (docs.bittensor.com) is a key resource. It includes tutorials for setting up nodes, running miners or validators, and even guides for creating basic subnets. The community is also generally helpful to newcomers. The success of Bittensor really hinges on this community participation – attracting talented AI developers, resourceful miners, and diligent validators.

Use-Cases & Future Outlook of Bittensor TAO

John: The potential use-cases for Bittensor are as broad as the field of AI itself. Because subnets can be created for virtually any AI task, the applications are theoretically limitless. We’re already seeing subnets for:

• Decentralized LLMs: Offering alternatives to models like ChatGPT, where multiple smaller models contribute to a collective intelligence.
• Data Scraping and Provision: Creating markets for valuable, real-time data.
• Image Generation and Analysis: Decentralized platforms for creating and interpreting visual content.
• Financial Prediction Markets: AI models competing to provide accurate market forecasts.
• Scientific Research: Subnets dedicated to complex computations or data analysis for research purposes.

Lila: So, if Bittensor truly takes off, it could fundamentally change how we access and pay for AI services? Instead of subscribing to a few big AI companies, you could tap into this global network of specialized AI agents for specific tasks?

John: That’s the vision. The future outlook involves Bittensor becoming a foundational layer for AI – a “machine learning commons” where AI capabilities are commoditized and made universally accessible. The key is for the network to consistently provide high-quality, cost-effective AI services that can compete with or even surpass centralized alternatives. The “TAO Bittensor Roadmap 2025” and ongoing developments are focused on scaling the network, improving the incentive mechanisms, and fostering a richer ecosystem of subnets.

Lila: That sounds incredibly transformative, especially with the AI market projected to explode. The Apify results mentioned that some analysts predict the AI industry could hit $500 billion by 2025. If Bittensor captures even a small slice of that by offering a genuinely useful, decentralized alternative, the demand for TAO could be significant.

John: Indeed. The future outlook also heavily depends on continuous innovation within the subnets. The idea is that competition within subnets drives quality up and costs down. Furthermore, the Bittensor protocol itself is designed to evolve. For example, there’s ongoing research into “dynamic TAO” mechanisms to optimize how TAO is allocated and used within the network, potentially allowing for more efficient price discovery for AI services.

Competitor Comparison: Bittensor vs. The Field

John: When we talk about competitors, Bittensor faces challenges from two main directions: centralized AI providers and other decentralized AI projects.

Lila: So, on one hand, you have the giants like OpenAI (ChatGPT), Google (Gemini), Anthropic (Claude), and on the other, projects trying to do AI on the blockchain. How does Bittensor stack up?

John: Against centralized AI providers, Bittensor’s main differentiators are its decentralization, open-source nature, and permissionless innovation. Centralized AI can be powerful and polished, but it often comes with concerns about censorship, data privacy, single points of failure, and monopolistic control. Bittensor aims to offer an alternative that is more resilient, transparent, and community-driven. However, centralized players have enormous resources for R&D and can often iterate faster on user-facing products.

Lila: And what about other decentralized AI crypto projects? There seem to be quite a few emerging in this space.

John: Yes, projects like Fetch.ai (FET), SingularityNET (AGIX), Ocean Protocol (OCEAN), and various DePIN (Decentralized Physical Infrastructure Networks) projects focused on compute are also exploring decentralized AI.

• Fetch.ai focuses on autonomous economic agents that can perform tasks and exchange value.
• SingularityNET aims to be a marketplace for AI algorithms and services.
• Ocean Protocol focuses on decentralized data marketplaces, enabling data sharing for AI training.

Bittensor’s unique approach lies in its subnet architecture and the competitive market it creates for “intelligence” itself. It’s less about providing specific AI tools directly and more about creating an incentive layer for a global network of AI models to collaborate and compete. The focus is on creating a “living” network of continuously improving intelligence, rather than just a static marketplace for AI services or data.

Lila: So, Bittensor’s strength is its incentive mechanism and the idea of “Proof of Intelligence” driving continuous improvement across many specialized AI domains? That does sound quite distinct. Is it more about the raw intelligence and less about the user interface for now?

John: To a large extent, yes. While user-friendly applications can be built on top of Bittensor subnets, the core protocol is focused on optimizing the production and validation of machine intelligence. The other projects might have different strengths, perhaps in ease of use for specific applications or more mature data marketplaces. The decentralized AI space is still very young, and there’s likely room for multiple approaches to coexist and even collaborate.

Risks & Cautions: Navigating the Bittensor Landscape

John: Like any cutting-edge technology, especially in the volatile crypto space, investing in or participating in Bittensor comes with significant risks and requires caution.

Lila: That’s a really important point. What are some of the main concerns potential users or investors should be aware of?

John: Firstly, complexity. Bittensor is a highly intricate system. Understanding its tokenomics, subnet dynamics, and consensus mechanism requires a steep learning curve. One of the Apify results even highlighted an article titled “But Will BitTensor’s Complexity Kill Its Own Momentum?”. This complexity can be a barrier to entry for users, developers, and investors alike.

Lila: I can definitely see that. Even as we’re discussing it, I’m constantly trying to connect the dots between subnets, miners, validators, and TAO incentives. So, education is key.

John: Absolutely. Secondly, market volatility. TAO, like most cryptocurrencies, is subject to extreme price swings. Its value can be influenced by broader market sentiment, speculation, developments within the Bittensor project, and the performance of its subnets. There’s no guarantee of future price appreciation. The price predictions we’ll touch on later are just that – predictions, not certainties.

Lila: And what about technological risks? Is the network proven to be secure and scalable in the long run?

John: That’s another key area. Technological risks are inherent. While Bittensor is operational, it’s still evolving. There could be unforeseen vulnerabilities in the code, challenges in scaling the network to handle a massive number of subnets and transactions, or difficulties in ensuring the Yuma Consensus mechanism remains robust against sophisticated attacks or collusion as the stakes get higher. The quality and utility of the AI services produced by the subnets must also continuously improve to remain competitive.

Lila: Regulatory uncertainty must be a factor too, right? Especially with AI and crypto both being in the regulatory spotlight.

John: Precisely. Regulatory risks are significant. Governments worldwide are still figuring out how to regulate cryptocurrencies and artificial intelligence. Future regulations could impact Bittensor’s operations, the usability of TAO, or the ability of participants to engage with the network. Then there’s competition risk – both from established, well-funded centralized AI companies and other innovative decentralized projects. Bittensor needs to continually prove its value proposition.

Lila: So, the takeaway is: it’s a fascinating project with huge potential, but it’s also high-risk. Due diligence is non-negotiable.

John: Couldn’t have said it better. Potential investors should thoroughly research the project, understand the technology, consider their risk tolerance, and never invest more than they can afford to lose.

Expert Opinions & Analyses on TAO

John: Now, let’s look at what some analysts and platforms are saying about Bittensor TAO, particularly regarding its price potential. The Apify search results provided several links to price predictions, primarily for 2025 and beyond.

Lila: This is always the part that gets people excited – or nervous! What’s the general sentiment from these crypto analysts?

John: It’s quite mixed, which is typical for crypto, and especially for a complex project like Bittensor. For example:

• Changelly (as per Apify) expects the TAO price to be around $551.08 by the end of summer 2024, but suggests a potential drop to a minimum of $265.51 in August 2025. They also predict TAO could reach between $589.04 and $698.97 by 2025.
• Coinpedia projects a high of $259.67 for 2025, with an average price of $779.00 – which seems like a very wide range and possibly a typo in the provided summary, as the high is lower than the average. It’s important to check the source directly for clarity.
• Botsfolio, referencing Changelly, also mentions the $589.04 to $698.97 range for TAO by 2025.
• CoinEdition suggests Bittensor may end 2025 near $688 if current trends and the Bitcoin cycle remain supportive.
• A more bullish prediction found via Binance Square (as per Apify) suggests TAO’s price could rise to $1,000–$1,700 by the end of 2025, citing the AI market explosion as a major catalyst.
• Some sources like CoinPriceForecast noted a decrease from the beginning of 2025, starting the year at $442.37 and trading lower at the time of their analysis.

Lila: Wow, that’s a pretty wide spectrum of predictions for 2025 – from around $260 on the low end to $1,700 on the very high end! What factors are these analyses usually based on?

John: They typically combine several approaches:

• Technical Analysis: Looking at historical price charts, trading volumes, and patterns to forecast future movements. Some Apify results mentioned TAO “exhibiting signs of a potential rebound” based on technicals.
• Fundamental Analysis: Assessing the underlying technology, team, tokenomics, roadmap, partnerships, adoption rate, and the overall health of the AI and crypto markets. The upcoming halving in late 2025/early 2026 is a significant fundamental factor.
• Market Sentiment: Gauging overall investor and community feeling towards the project.
• Broader Crypto Market Trends: Often, altcoin prices are heavily influenced by Bitcoin’s performance and overall crypto market cycles.

It’s crucial to understand that these are speculative. Many factors can influence the price, and past performance is not indicative of future results.

Lila: So, when people see “Bittensor (TAO) Price Prediction 2025,” they should take it with a grain of salt and see it as one data point among many, not a guarantee?

John: Precisely. These predictions can be useful for understanding potential scenarios, but they shouldn’t be the sole basis for any investment decision. The quality of analysis also varies greatly between sources. Always look for well-reasoned arguments rather than just price targets.

Latest News, Roadmap & Future Developments for Bittensor

John: Keeping up with the latest news and roadmap is vital for anyone interested in Bittensor. The project is dynamic, with ongoing developments. The “TAO Bittensor Roadmap 2025” mentioned in the Apify search (from Bitrue) is a key point of interest for future direction.

Lila: What are some of the key areas of focus for Bittensor according to its roadmap or recent announcements? Are they looking to expand the number of subnets, or improve the core tech?

John: Both, typically. Key areas often include:

• Subnet Innovation and Proliferation: Encouraging the development of new, high-value subnets. The health of the ecosystem depends on useful subnets. There’s a constant exploration of new incentive mechanisms for different AI tasks. Some news snippets (like from YouTube on TAO Templar) show users trying to “research subnets efficiently,” indicating this is an active area.
• Core Protocol Enhancements: Improving the scalability, security, and efficiency of the Bittensor blockchain itself. This includes refinements to the Yuma Consensus and potentially the staking/delegation mechanisms.
• Dynamic TAO / Tokenomics Evolution: As mentioned earlier, there’s ongoing research into “Dynamic TAO” (sometimes referred to as “Dynamic TOA” in some informal contexts, like a YouTube title from Apify). This involves making the TAO issuance and distribution more responsive to network needs, potentially leading to more efficient resource allocation and value discovery.
• Upcoming Halving: As we discussed, the halving expected between November 2025 and January 2026 is a major roadmap item that will reduce TAO emissions by 50%. This is a programmed event with significant implications for token supply.
• Tooling and Developer Experience: Making it easier for developers to build on Bittensor and for users to interact with the network. This includes better APIs, SDKs (Software Development Kits), and documentation.
• Community Growth and Governance: Fostering a larger, more active community and transitioning towards more decentralized governance structures.

Lila: The “Dynamic TAO” concept sounds particularly interesting. It suggests the system can adapt its own economy to be more effective. And the halving is definitely something current and potential TAO holders will be watching closely.

John: Indeed. The roadmap isn’t static; it evolves based on research, community feedback, and the changing landscape of AI and crypto. Staying updated through official channels like the Bittensor blog, Discord, and GitHub repository is the best way to track progress. Some recent news from Apify also mentioned “Bittensor (TAO) Shows Signs of Rebound Amid Market Correction,” indicating that market movements and technical analysis are also part of the ongoing narrative that people follow.

FAQ: Answering Your Bittensor TAO Questions

Lila: John, based on our discussion, I have a few quick questions that I think many beginners might also have. Can we do a quick FAQ round?

John: Excellent idea, Lila. Fire away.

Lila: Okay, first up: **What is the primary goal of Bittensor?**

John: The primary goal of Bittensor is to create a decentralized, open, and fair marketplace for artificial intelligence. It aims to accelerate AI innovation by incentivizing collaboration and competition among AI models globally, making AI a collectively owned and accessible resource, rather than one controlled by a few large corporations.

Lila: Next: **How does TAO token gain its value?**

John: TAO’s value is derived from several factors:
1. Utility: It’s essential for participating in the network – miners and validators need it, and it’s used to access AI services or features within subnets.
2. Scarcity: It has a fixed maximum supply of 21 million tokens and a halving mechanism, similar to Bitcoin.
3. Staking: TAO can be staked to earn rewards, which creates demand and locks up supply.
4. Governance: TAO holders can participate in network governance, giving the token influence over the protocol’s future.
5. Speculation: Like all cryptocurrencies, market speculation based on future potential also plays a role.
Ultimately, its long-term value will depend on the success and adoption of the Bittensor network in providing genuinely useful AI capabilities.

Lila: That makes sense. **Is Bittensor easy for a beginner in crypto or AI to get involved with?**

John: For active participation, like running a miner or validator, or developing a subnet, Bittensor has a relatively steep learning curve due to its technical complexity. The documentation and “beginner tutorials” are improving, but it still requires a good understanding of both crypto concepts and AI principles. For simply buying, holding, or staking TAO as an investment, the process is similar to other cryptocurrencies once you’ve chosen an exchange, but understanding the underlying project is still crucial.

Lila: Okay, good to know. **How can I buy Bittensor (TAO)?** The search results mentioned this as a common query.

John: TAO is listed on several cryptocurrency exchanges. To buy TAO, you would typically:
1. Compare Crypto Exchanges: Find exchanges that list TAO. Popular ones include Binance, KuCoin, Gate.io, MEXC, and others. Check reliable sources like CoinMarketCap or CoinGecko for up-to-date listings.
2. Create an Account: Sign up on your chosen exchange and complete any required KYC (Know Your Customer) verification.
3. Fund Your Account: Deposit fiat currency (like USD, EUR) or another cryptocurrency (like BTC, ETH, USDT) into your exchange account.
4. Buy TAO: Navigate to the TAO trading pair (e.g., TAO/USDT, TAO/BTC) and place an order to buy TAO.
5. Secure Your TAO: For long-term holding, consider withdrawing your TAO from the exchange to a personal crypto wallet that supports the Bittensor network for better security. The official Polkadot.js wallet can be configured for Bittensor, and other native wallets are also available or in development.

Lila: And finally, **What are the key differences between a miner and a validator in Bittensor?**

John:

• Miners are the “producers” of intelligence or AI services. They run AI models or provide computational resources within a specific subnet, competing to offer the best output (e.g., text generation, data analysis). They earn TAO based on the quality of their contributions.
• Validators are the “quality controllers” or “auditors.” They stake TAO to gain influence in a subnet. They query the miners, evaluate their outputs, and assign scores. Validators earn TAO for accurately assessing miners and helping the network identify and reward the most valuable contributions. They play a crucial role in the consensus mechanism.

Both are essential for the functioning and health of each subnet and the overall Bittensor network.

Related Links & Further Reading

John: For those who want to dive deeper, here are some essential resources:

• Official Bittensor Website: bittensor.com
• Bittensor Documentation: docs.bittensor.com (Includes basic subnet tutorials and technical details)
• OpenTensor Foundation: Often shares updates via the main Bittensor channels.
• Taostats: taostats.io (For network statistics, subnet information, and validator performance)
• Bittensor on CoinMarketCap/CoinGecko: For current price, market cap, and exchange listings (e.g., CoinMarketCap – Bittensor).
• Bittensor Community Channels: Search for the official Bittensor Discord server for active discussions.

Lila: Thanks, John! This has been incredibly insightful. Bittensor TAO is clearly a complex but potentially groundbreaking project at the forefront of decentralized AI. It’s a lot to take in, but the vision of a global, open AI marketplace is definitely compelling.

John: It certainly is, Lila. The journey for Bittensor is still in its early stages, and its success will depend on continued innovation, community adoption, and its ability to deliver tangible value in the competitive AI landscape. As always, for anyone considering getting involved, especially financially, we stress the importance of thorough research.

John: This article is for informational purposes only and should not be considered financial or investment advice. The cryptocurrency market is highly volatile. Please do your own research (DYOR) and consult with a qualified financial advisor before making any investment decisions.

Bittensor, TAO, Decentralized AI, Cryptocurrency, Blockchain

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