Steven

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Steven

Steven

@0xStevenTai

Decentralize AI

Katılım Ocak 2017
1.1K Takip Edilen174 Takipçiler
Steven retweetledi
@jason
@jason@Jason·
$tao > $btc
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Michael Saylor
Michael Saylor@saylor·
The Orange March Continues.
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Elon Musk
Elon Musk@elonmusk·
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Openτensor Foundaτion
The largest decentralised LLM pre-training run in history. SN3 @tplr_ai trained Covenant-72B across 70+ contributors on open internet infrastructure. Now it’s being discussed by @chamath with @nvidia CEO Jensen Huang. Distributed, open-weight model training on Bittensor is getting started.
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Yuma
Yuma@YumaGroup·
$TAO is up 82% in the last 30 days. Bittensor subnets are up 105% over the same period on a market-cap weighted basis. Year to date, the Yuma Composite Fund - which provides exposure to more than 100 subnets - is up 55% on a USD basis, versus 28% for $TAO alone. More info: hubs.ly/Q046VFm80
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MrBeast
MrBeast@MrBeast·
I see so much negativity about the future so I thought it’d be fun to showcase the positive things that could fundamentally change humanity for the better in our new video :D youtu.be/pAnGwRiQ4-4?si…
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OurFaveOnlineDoc 🇬🇧 🇳🇬
OurFaveOnlineDoc 🇬🇧 🇳🇬@OurFavOnlineDoc·
This is the best thing you can dedicate 30minutes of your life listening to today.
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Dr. Whale
Dr. Whale@DrWhaleReal·
Hey @grok , edit this image with the maximum price of all Coins will reach in 2026.
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Tommy Robinson 🇬🇧
Tommy Robinson 🇬🇧@TRobinsonNewEra·
How US Delta force captured Maduro in Venezuela.
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Polynomial
Polynomial@PolynomialFi·
Hey @grok remove the bad founder from this image, keep the good one
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Cole Grinde
Cole Grinde@GrindeOptions·
What will make you the most money in the stock market over the next 5 years? 1. $SOFI - Best fintech in America right now. 2. $TSLA - Best world wide company for all around AI and manufacturing. 3. $NVDA - Best compute networking and GPU processing. 4. $PLTR - Best ontology AI tech in the game. 5. $HOOD - Best retail trading platform in the world and soon to be prediction markets. 6. $NU - Best international fintech play. 7. $AMZN - Best all around business and cashflow machine + AWS. 8. $EOSE - American battery storage beast. 9. $BMNR - Best DAT in the game. 10. $COST - Best wholesaler in the world. 11. $RKLB - Picks and shovels business for space. 12. $IREN - AI Data center king. 13. $GOOGL - cash cow of search and AI. 14. $LMND - Up and coming insurance key player. 15. $ONDS - Drones. What are you adding to the list? 🤘🏻
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Elma
Elma@oelma__·
ONE word in German..
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Steven
Steven@0xStevenTai·
$TAO The first halving just happened. Block rewards have been cut to 0.5 $TAO per block. 1 $TAO =271$ Best time to accumulate $TAO @bittensor
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Barry Silbert
Barry Silbert@BarrySilbert·
The $TAO halving has me taking a moment to reflect The first time I came across Bittensor, it felt like Bitcoin in 2012 - a small group of builders with a clear, ambitious vision This time, the opportunity is intelligence Greg does a great job laying out the similarities below
Greg Schvey@GSchvey

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.

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Our Crypto Talk
Our Crypto Talk@ourcryptotalk·
Bittensor’s $TAO Halving Is Coming And It Will Reshape Every Subnet > December 14, 2025. > TAO emissions are about to be cut in half. > Scarcity is about to replace abundance. Bittensor is approaching its first-ever halving, reducing daily emissions from ~7,200 TAO to ~3,600 TAO. Block rewards will drop from 1 TAO → 0.5 TAO. This won’t just be a supply shock for TAO. It will be a stress test for the entire subnet ecosystem. ⚪ What the Halving Will Change Fewer tokens. Same competition. Only real utility survives. Once emissions are cut: • Validators will become more selective • Staking will concentrate around proven subnets • Low-utility or “zombie” subnets will be starved • High-performing networks will capture a larger share of rewards This is the moment where Bittensor starts to mature. ⚪ Subnets Best Positioned Before the Halving As scarcity approaches, capital and attention are already rotating toward subnets with clear demand and real usage. These are the top contenders likely to benefit most once emissions tighten. 1️⃣ Chutes (SN64) Serverless AI compute leader • Highest market cap in the ecosystem (~$91M) • Strong validator backing and consistent demand • Widely used for GPU inference via APIs Post-halving outlook: Proven utility plus efficiency should attract even more staking. 2️⃣ Celium (SN51) Decentralized GPU rentals • Straightforward AI compute use case • Healthy trading volume and adoption • Easy narrative for validators Post-halving outlook: A reliable subnet likely to benefit from validator consolidation. 3️⃣ Ridges AI (SN62) Autonomous AI agents for developers • Agent-based workflows for coding tasks • Lower emissions, but strong perceived value • Developer-centric demand Post-halving outlook: Efficiency-focused subnets like Ridges may outperform on a reward-per-TAO basis. 4️⃣ Targon (SN4) Multimodal AI lab • Text, image, and audio models • Core infrastructure role in the ecosystem • Stable emissions and relevance Post-halving outlook: Foundational subnets should gain importance as speculative ones fade. 5️⃣ Vanta / Proprietary Trading Network (SN8) AI-driven trading strategies • Financially aligned user base • Clear performance incentives • Strong upside if models deliver Post-halving outlook: High-risk, high-reward subnet that could attract speculative staking. 6️⃣ affine (SN120) Reinforcement learning bridge • Connects and improves multiple subnets • Infrastructure-level importance • High emissions reflect network reliance Post-halving outlook: Critical infrastructure may command a premium in a scarcer environment. 7️⃣ τemplar (SN3) Decentralized AI training • Scalable, privacy-focused training • Established presence • Consistent validator interest Post-halving outlook: Not flashy, but likely to remain a survivor. 8️⃣ Gradients (SN56) Accessible AI training • Focus on onboarding non-experts • Lower emissions • Long-term ecosystem value Post-halving outlook: Accessibility-driven subnets may benefit as the network broadens. 9️⃣ iota (SN9) LLM pre-training layer • Foundational role in model development • Steady but quiet utility • Long-term relevance Post-halving outlook: Base-layer AI work could see increased appreciation. 🔟 BitMind (SN34) AI image and deepfake detection • Rising importance amid synthetic media growth • Trust and verification narrative • Still early but timely Post-halving outlook: Narrative tailwinds may offset lower emissions. ⚪ The Bigger Picture Less inflation. More discipline. Real demand finally matters. The upcoming halving is expected to: • Push Bittensor toward demand-driven rewards • Concentrate capital in high-quality subnets • Increase the importance of efficiency and real users • Strengthen TAO’s long-term scarcity narrative As emissions fall, subnets stop being experiments and start being businesses. ⚪ Final Take The TAO halving hasn’t happened yet but the market is already preparing for it. Weak subnets will be exposed. Strong ones will compound. And TAO enters its scarcity era. In Bittensor’s next phase, not every subnet will survive, but the best ones will define the network.
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