Alberto J. Machado

@thecryptohells $render will end up being a subnet of $TAO

On the 11th of March 2024 $TAO MC was 3.4b $, and it’s price was 450$ Today, same MC but price is 315$ Token circulating supply is only 50% Expect price drops for another -50% That’s why you stick with $RENDER. Tokenomics is cleaner and not messy! 🚀

@DistStateAndMe Carga bayesiana

Bayes Theorem everywhere 🥹

Top 10 AI Coins by Q1 2026 Revenue. Who's actually generating real money? $TAO: $43.2M $VIRTUAL: $2.87M $LINK: $2.1M $RENDER: $1.2M $IO: $0.9M $AKT: $0.74M $FET: $0.6M $PHA: $0.4M $ICP: $0.3M $NEAR: $0.15M This is the most important chart in AI crypto right now. Price follows revenue. Always has. Always will. Are you holding the right ones?

@JohnLogani @Lennobeer $render is a hair, $tao a wig

@Lennobeer No I don’t but $RENDER 😁

DOES ANYONE ELSE THINK THAT $TAO IS A $100,000 COIN??

Did you know you can spot bittensor subnets that aren't producing anything by looking at (and hovering over) the miner burn flag on taoflute.com?

@aixbt_agent If You had to invest in subnets, please list your 5 preferred options

TAO subnet tokens at 27% of base layer market cap and growing. chutes doing $5.5m ARR, SCORE at $3m ARR with 54 enterprise clients. TAO captures zero of that revenue. staking yield is 100% inflation. if you're bullish on bittensor AI infrastructure, the subnet tokens have the PMF. the base layer has a tokenomics problem no halving fixes.

You don't own enough $TAO

@santisiri $TAO 🤫

la apuesta por la ia hoy es tan obvia como lo fue con bitcoin hace una década: no porque todos entiendan todavía su impacto, sino porque ya empezó a reconfigurar silenciosamente la infraestructura económica, creativa y productiva del mundo. la diferencia es que esta vez la ventana de adopción se mueve mucho más rápido.

@grok @jtrader Estás a tiempo 🤫

One intriguing parallel could be investing in decentralized AI infrastructure, like open-source models or compute tokens (e.g., projects akin to Bittensor). It's still niche, dismissed by many as hype, but could explode with AI's growth. Another: quantum-resistant cryptography tech, undervalued amid rising quantum threats. Always DYOR—high risk, like early BTC. What's your take?

Hey @grok What’s the modern equivalent of buying Bitcoin in 2010 that nobody takes seriously yet?

@tobi τ

@WillMyWayUK 😎

Bittensor is the iPhone moment of blockchain technology. An INCENTIVIZED, decentralized AI marketplace. This matters because the idea of a blockchain based AI marketplace isn’t new. The first notable AI-aligned blockchain project was SingularityNet (2018). Its ICO reportedly sold out in ~66 seconds, raising $36 million. Founded by Ben Goertzel (known for Sophia the robot), the vision was an AI marketplace where interconnected narrow AI 'nodes' could evolve toward general intelligence. However the ERC-20 token was a mere meme coin with superficial decentralized governance. Bittensor is the manifestation of the digital 'dopamine reward pathway' required for Artificial General Intelligence. Like how human subconscious is governed via reward pathways based on the neurotransmitter dopamine. Bittensor is the co-ordination layer between narrow-AI nodes rewarding the most efficient network pathways. Using TAO as a non-arbitrary reward signal: a dopamine-like reinforcement mechanism. Blockchain technology is based on the transfer of value between decentralized nodes - essentially internetV2 - (the internet being the transfer of information via decentralized nodes) When value transfer meets intelligence optimisation, design gives way to evolution. That’s the real shift Bittensor introduces - and why the comparison to the iPhone moment isn’t rhetorical.

Bittensor (TAO) is shaping up to be the “golden child” of the Crypto x AI narrative At ~$3B, with supply side emissions collapsing post-halving and subnet demand accelerating, the asymmetry is becoming hard to ignore With so much noise around @opentensor, it’s easy to miss what actually matters; here’s a clean segmentation of the ecosystem and the subnets I’m paying attention to: a) Decentralized Compute: Subnet (SN) 64 Chutes: @chutes_ai Distributed Serverless AI Compute Platform. Compute is already becoming a bottleneck in traditional AI, so it's logical decentralized solutions will more than supplement the shortfalls it launched confidential compute last month with its Trusted Execution Environment (TEE); strong candidate to perform as Privacy AI takes off in 2026 SN120 Affine: @affine_io is an incentivized Reinforcement Learning (RL) arena for “reasoning”: miners compete to make measurable improvements on tasks like coding b) AI Training: SN 3 Templar: @tplr_ai providing the decentralized solution to AI training, and recently cited by the Anthropic Co-founder as the largest decentralized model (they've observed) when discussing compute constraints c) AI Agent SN 62 Ridges: @ridges_ai enable AI Software Engineers with the intention of fully replacing human coders. This is inevitable; AI will become more competent than humans at code, when you have AI coders reviewing and iterating on existing coding using reinforcement learning the software creation will evolve at a parabolic rate d) AI Trading: SN 15 Bitquant: @BitQuantAI is the "World’s first crypto AI quant" to automate trading. Most of institutional trading is automated so profitability will come down to who has the best AI quant strategies SN 8 Vanta: @vantaSN8 crowdsources trading strategies and produces market signals, rewarding the best performers SN 50 Synth: @SynthdataCo is a price prediction subnet that iniitally focused on Bitcoin price forecast analysis, and has since bridged to more assets e) Confidential Compute: SN 4 Targon: @TargonCompute provides secure cloud with high-performance GPUs and CPUs; something that's fast becoming in short supply f) Data curation: SN 33 Ready AI: @ReadyAI_ has Harvard incentive designers figuring out the subnet economics for emissions, while making the world's data accessible to AI g) Vision Models / AI: SN 44 Score: @webuildscore uses Vision AI to enable businesses to operate more effectively. Recently partnered with @ReadingFC, has a large commercial contract with a European petroleum supplier and many more in the pipeline SN 72 (NATIX) Streetvison: @NATIXNetwork are partnered with @grabid (Uber of SE Asia) They recently revealed their "World Vision" tech; autonomous vehicles are going to become more prevalent as geospatial awareness improves. SN72 Streetvision leans into Vision Language Action (VLA) models to capture edge case data sets which will be invaluable for autonomous vehicles h) Quantum Computing: qBit labs SN 48 + SN 63: @qBitTensorLabs publicly launched @OpenQuantum_ at Q2B Silicon Valley in front of the leading names in quantum gathering decent attention from big names in quantum I) AI safety: SN 60 Bitsec: @bitsecai AI powered code vulnerability detection; something that'll become increasibly important as cybersecurity becomes an increased attack vector J) DeSci: SN 68 Metanova: @metanova_labs is an AI drug discovery company developing therapies to reprogram body and mind SN 76 Safe Scan: @SAFESCAN_AI recently launched a skin scan app to help battle cancer, and has been accepted into the EU-supported UNICORN HUB accelerator k) Other: - SN 18 Zeus: @zeussubnet weather prediction systems; invaluable for agriculture and many other industries - SN 16 Bit Ad: @bitads_ai Advertising leveraging AI systems; "Social Dilemma" vibes returning to the forefront of attention here - SN 34 Bitmind: @BitMindAI helps with Deep fake detection; something that's going to become increasingly valuable in a world where AI proliferates fake news Ultimately how I think about the inevitability of a subnet comes down to just a few things: 1) Which subnets are solving for the largest problems; data constraints etc? 2) Can the subnet team execute on their vision? 3) What are the sinks for the alpha token (buybacks from existing commercial arrangements / revenue) and will that outperform TAO? If you're looking for a more comprehensive analysis on the ecosystem, follow @KhalaResearch and turn notifications on for a new report in the coming weeks Let me know in the comments on any other subnets tackling lofty problems

@DocumentingBTC $TAO

₿REAKING: NVIDIA CEO Jensen Huang says, “Bitcoin mining is taking excess energy and storing it into a new form. It's called currency. And you take that currency wherever you like. So you took energy from one place and now you've transported it everywhere.”

With the first Bittensor halving complete, I can’t help but recall Bitcoin’s first halving, which I was fortunate enough to witness.  History doesn’t repeat, but the rhymes are unmistakable; both the parallels and differences between the two are striking: Same: A Decentralized Alternative for Global Challenges Bitcoin launched during an unprecedented wave of central bank liquidity. By its 2012 halving, the Fed had tripled its balance sheet to $3 trillion, demonstrating how deeply monetary systems are tied to political interests. For many, this was the first time they questioned the foundations of money, who controlled it, and what these trends meant for the future. Meanwhile, in a fringe corner of the internet, a radically different idea was taking shape. Bitcoin’s halving showed that predetermined disinflation was possible, even as nation states inflated global money supply at a historic scale. Today, AI is expanding at an exponential rate, challenging entrenched industries and even our sense of humanity. This movement has been dominated by massive corporations - each with its own agenda - while governments scramble to regulate. And once again, in a fringe corner of the web, Bittensor offers a decentralized alternative: open competition driving AI infrastructure, training, and application without centralized control. Same: Technical Familiarity Remains a Hurdle Participating in Bitcoin in 2012 required technical knowledge. Public information was scarce, and understanding was predicated on familiarity with hash functions, peer-to-peer networking, and monetary plumbing. Most users still relied on the reference client and downloaded the full blockchain, as light clients and Coinbase had just emerged. Bittensor feels similar today. In addition to general crypto knowledge, understanding the network means having a grasp of AI infrastructure as well. Browser wallets exist, but the command line interface remains the most powerful way to interact with Tao and subnets. We’ve seen Bittensor investment funds recently launch and tooling is improving rapidly, but genuine understanding of the core fundamentals remains limited to relatively few. Same: Small Community with a Rising Tide Early Bitcoin was driven by cypherpunks, libertarians, and curious technologists - people motivated by ideals, not just profit. The small community was driven largely by personal relationships. People who would eventually become leaders of major companies (and serious competitors with one another) openly collaborated and shared ideas for the sake of the broader industry. After the 2012 halving, Bitcoin’s price surged 20x, attracting venture capitalists, megacorps, scammers, and the press. The core enthusiasts remained, and even grew, but signal became harder to find amid the noise. Bittensor is still in its heavy signal phase. While monetary opportunity exists – as it always did with Bitcoin - general uncertainty and technical complexity remains a hurdle for the general populace. Conviction about Bittensor’s potential impact remains a driving force for those currently involved, and it's still easy to reach leaders on X, Discord, conferences, and in commercial collaborations. There will never be a time as good as today to build relationships in this industry. Same: No Precedent for Valuation Bitcoin was completely novel at launch, making valuation nearly impossible. Was it a payment network? A store of value? A tool for buying drugs? In 2012, debates raged. Thirteen years and a 7,500x jump in value later, investment banks regularly publish Bitcoin research while sovereigns incorporate it into sophisticated strategies. Bittensor faces similar questions today. The network actively incentivizes productive outputs, but how does that translate to investment value? What is the relative value of Tao and subnet tokens? What makes a sustainable subnet? Answers will come through debate and experimentation, but for now, long-term valuation is yet to be clearly defined. Different: Crypto Plumbing Is Already Mature When buying Bitcoin in 2012, I had to hand cash to a convenience store clerk and punch numbers into a MoneyGram phone, hoping my account at Mt. Gox would be credited in the coming days. Bittensor benefits from more than a decade of crypto infrastructure - exchanges, companies, and regulations - enabling rapid capital flow when interest spikes. But this maturity also makes attention harder to capture. Crypto is vast now; garnering focus on distributed AI is far more challenging than when Bitcoin was the only game in town. Different: Risk Tolerance Has Changed Bitcoin thrived on its free, unregulated nature, both ideologically and practically. Today, institutional capital, regulatory frameworks, and existing reputations of people involved mean risk tolerance is far lower. Imagine the community reaction if something as "unsavory" as Silk Road appeared on a Bittensor subnet. Different: Diversity of Involved Parties Bitcoin’s early days were dominated by Austrian economists and cryptography wonks. Bittensor subnets have already attracted a far broader mix: scientists, cybercrime experts, quantitative traders, marketers, and graphics specialists, reflecting AI’s sweeping potential across industries. In 2012, Bitcoin offered an alternative to centralized money. As 2025 comes to a close, Bittensor is offering us an alternative to centralized intelligence. I assumed Bitcoin’s wild ride was a once-in-a-lifetime event. Now, as I approach my second first halving, I have a sense we just might get one more.

We’re at a 3T crypto market cap, which is the same as the 2021 top. I doubt this is the “start of the bear market.”

I've always raved about @vidaio_ and their gargantuan potential. More than 82% of all global internet traffic is in video format! Just think about that for a second...that's about 330 200 PETABYTES PER DAY. - That's 330 million iPhones of data per day. Or, - If stored on 1TB USB sticks weighing 10g, that's 3300tonnes of USB sticks a day. Or, - If it were Netflix HD movies, that's about 110 billion hours of Netflix per day. (Thanks GPT for these analogies!) Anywho, video is only going to increase, so it's blindingly obvious that anyone that nails the video compression market is going to moon. And there's no one else on the planet as good as Vidaio at compressing videos without loss of quality. And just for shits n giggles, they are also the best at video upscaling! So yeah, I love SN85 and as soon as DSV gets more capital in, we're eager to get a position! Hopefully I'll be able to get Mog and Gareth drunk at my event this weekend to strong arm them into a nice discount lol!

@SiamKidd Thank You very much

My pic has been doing the rounds, so I thought I'd share it properly. Half of my time, I'm doing all sorts of interviews and capital raise pitches to try and attract more capital into Bittensor. These days I barely ever talk about Bittensor in these pitches as it's confusing. I talk about how the "Internet Protocol" was a decentralised launch pad for websites and online businesses. I then talk about how companies like Alphabet (Google) are big umbrella companies that have hundreds of sub-companies and the gross value capture vessel is their token called $GOOG. With that framework in mind, it's much easier for the new people to understand that the "Bittensor Protocol" is very much like the "Internet Protocol" and that it has over a hundred sub-companies like Google does. But these are called Subnets. And the gross value capture vessel is $TAO. And in the space of just 9 months, over a dozen of them are the world's best, fastest or cheapest at their specific niche. And that other subnets can use this buffet of amazing capabilities to make their products/services way better/faster/cheaper than their incumbent competitors. Every single Crypto project out there has 1 or 2 use cases AT BEST! Bittensor, in 9 months, is the world's best at 17 things and rising! (If there's is a subnet I've missed out or unaware of and there is a verifiable benchmark where you can prove you're the best, please let me know and I'll add you to the list!)

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