Bittensor

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Bittensor

Bittensor

@bittensor

Incentivized, permissionless and decentralized intelligence.

Beigetreten Nisan 2025
2 Folgt10.1K Follower
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Bittensor
Bittensor@bittensor·
Mining SHA-256 hashes was the most profitable computation of the last decade. $BTC Mining digital intelligence will be the most profitable computation of the next decade. $TAO
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templar
templar@tplr_ai·
On the @theallinpod this week, @chamath asked @nvidia CEO Jensen Huang about decentralized AI training, calling our Covenant-72B run "a pretty crazy technical accomplishment." One correction: it's 72 billion parameters, not four. Trained permissionlessly across 70+ contributors on commodity internet. The largest model ever pre-trained on fully decentralized infrastructure. Jensen's answer is worth hearing too.
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templar
templar@tplr_ai·
One of the sharpest independent analyses of Covenant-72B we've seen. The author identifies what they call a "cognitive arbitrage window": crypto investors see "another open-source model" and shrug, while AI researchers who understand the benchmarks don't follow crypto. That gap produced a 2-day price lag after the announcement before the market caught up. The piece is thorough on the technical details (SparseLoCo compression, the honest benchmark gap to Qwen2.5/LLaMA-3.1, why the trajectory matters more than any single number) and places Covenant-72B in the full history of decentralized training from GPT-JT to INTELLECT-1. Google Translate handles it well if you don't read Chinese.
0xai@0xai_dev

x.com/i/article/2033…

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Ridges AI | SN62
Ridges AI | SN62@ridges_ai·
🚀 When @JosephJacks_ took a closer look at what Ridges was building, it quickly became clear something meaningful was happening and that’s when the decision to partner with the subnet was made. Ridges is delivering 73.6–87.8% on SWE-Bench Verified and a 96.3% Polyglot score, placing it among the top coding agents on the market while costing just $29/month for ~100 PRs (~$0.29 per PR). Beating the benchmarks while making high-performance coding agents accessible. As Joseph put it: “We’re harnessing a decentralized, open-source intelligence network that gets more competitive and more capable over time by design. That’s a compounding advantage that no closed, proprietary system can replicate.”
Ridges AI | SN62 tweet media
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Openτensor Foundaτion
Bittensor carries forward the original promise of crypto that began with @Bitcoin Bitcoin frees humanity from the grip of fiat money Bittensor marries that revolution with AI, thus freeing intelligence from technocratic tyranny. Both aim to end slavery.
Matt Karas@the_mattyk

Bittensor $TAO is the most interesting thing in crypto and it’s not even close. You could almost argue it’s not even crypto at all, but rather an intelligence incentive network that leverages blockchain for efficiency.

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@jason
@jason@Jason·
This Decentralized Cloud is Thousands of Times Cheaper Than AWS x.com/i/broadcasts/1…
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Openτensor Foundaτion
"AI" is a stack of components working together: When these layers integrate, you get the systems people call intelligence. 128 sub-networks make up Bittensor. Each subnet is a market-based factory, coordinating miners to produce a digital commodity and rewarding the best outputs. These commodities can include: Compute, distributed training, fine-tuning, inference, data, labels, synthetic data, evaluations, ranking, RL environments, agents, vision, audio, storage, privacy tooling, VPNs, search, forecasting, and prediction markets. This weekend at @frontiertower, builders at the @FundingCommons hackathon will be designing new subnets for the sovereign AI infra stack.
Openτensor Foundaτion tweet media
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const
const@const_reborn·
I have 6 agents running now, two are doing ML research, one is cloning Claude code, two trade hyperliquid and one mines Bittensor. All they need is compute from Bittensor (Lium, Basilica and Targon) and inference from Chutes and Openrouter. The trading agents pay for the compute and inference by buying credits with proceeds. I could literally die and this system wouldn’t turn off. Indeed it’s programmed to just get better.
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Targon
Targon@TargonCompute·
Confidential H200s are available on Targon.com ☁️ → Rentals starting from $1.90/hr → On Demand or Long Term → Cryptographically Secure Build and Deploy with fully Secure TEEs on Targon Virtual Machine ⚡️
Targon tweet media
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templar
templar@tplr_ai·
We just completed the largest decentralised LLM pre-training run in history: Covenant-72B. Permissionless, on Bittensor subnet 3. 72B parameters. ~1.1T tokens. Commodity internet. No centralized cluster. No whitelist. Anyone with GPUs could join or leave freely. 1/n
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Proof of Talk
Proof of Talk@proofoftalk·
Since the last Bittensor Track at Proof of Talk 2025: @tplr_ai completed the largest decentralised LLM pre-training run in history: Covenant-72B. @ridges_ai beat SOTA on the industry standard benchmark for AI coding agent performance, scoring 73-88% on SWE-bench Verified. Built for under $10m in TAO emissions, through open collaboration and competition. @chutes_ai became the number one open source model provider on Hugging Face. 35 trillion tokens served. 715,000 users. None of it was VC funded. No CEO signed off. It just ran. June 2-3 - The Louvre, Paris Bittensor Track at Proof of Talk
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Ridges AI | SN62
Ridges AI | SN62@ridges_ai·
🏔️Introducing Ridgeline Behind the product is SN62 Ridges on Bittensor, where miners compete to build and improve the agent itself. Agents are continuously evaluated and scored, driving rapid iteration and capability improvements. Ridgeline is the product layer where those agents are put to work. • Assign a GitHub issue to the agent • It reads the repository for context and begins work • Generates and tests patches automatically • Your agent works in parallel to you, completing tasks without supervision • It’s like having another team member you can assign tickets to Inference runs across Bittensor infrastructure (e.g. @TargonCompute and @chutes_ai), while performance is measured on correctness, speed, and cost. Sign up now → shorturl.at/F0Tvt During the open beta, there’s no paywall, and new users receive 10 free credits to get started.
Ridges AI | SN62 tweet media
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JJ
JJ@JosephJacks_·
Recorded @TheTaoPod with @jaltucher yesterday so we hopped on and mostly talked about quantum biology. Dig in, folks. QB is precisely how we evolve our species … where free will becomes indistinguishable from “natural selection”.
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Ridges AI | SN62
Ridges AI | SN62@ridges_ai·
🚧 SN62 Product Launch Update We’re setting out the long-term vision for Ridges - which is why we’re postponing the product launch by two weeks. #SN62 is one of Bittensor’s biggest success stories, and one of its strongest contenders for mass adoption. Rushing this launch would be a disservice to the incredible work @hobbleabbas and the team have been doing behind the scenes. 🧵 Here's why - and our plan of action for launch on March 5th.
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Chutes
Chutes@chutes_ai·
AI search on Chutes is here. Chutes Search is our new AI search tool that is affordable, powerful, and open source. → Deep research mode: spins up an agent in a sandbox → Every answer comes with citations → Powerful enough to set as your default search engine → Open source 3 free searches a day to try it out. Sign in with your Chutes account to unlock the full experience: deep search, unlimited access, your credits, your compute. Replace Google in your address bar: Settings → Search engine → Add → URL: search.chutes.ai/answer?q=%s Try it → search.chutes.ai GitHub → github.com/chutesai/chute…
Chutes tweet media
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Sami Kassab
Sami Kassab@Old_Samster·
its rare to find people who deeply understand Bittensor and can concisely articulate its thesis sun runner is one of them who ive been following closely lately
sun runner@0xSunRun

Fair warning, about to get into the weeds here. But you flatter me, so I'll give you an organized brain dump (plus I've been enjoying writing my ideas out lately). In my mind TAO has two key innovations that set it apart, and once they click you'll understand why the "subnets over TAO" framing is a false choice. Some subnets will absolutely outperform. But TAO is going to do fantastically well regardless of which ones win. First: Yuma Consensus. The fundamental problem with "mining useful work" is that useful work is subjective. How do you get a decentralized consensus on which AI model gave the better answer? Which code actually works better? Yuma cracks it by recognizing that while any single quality judgment is subjective, patterns of agreement among independent judges are objective and measurable. It also recognized that not all the work has to be on-chain for verification (in this context, all that matters is the answer/output). Validators score outputs on a gradient, outliers get mathematically clipped, and the whole system is subject to economic selection pressure (bad judges lose money). Early skeptics of Bittensor considered this sacrilege given Proof of Work is an objective consensus mechanism where everyone shows their work, and a lot of their criticisms back then (i.e. it was rife for manipulation) were correct. But post-dTAO I personally think it's safe to say the skepticism is settled. The outputs speak for themselves. The DePIN subnets are humming, Ridges is competing with SOTA models on benchmark tests, Templar coordinated the world's largest decentralized training run (my three favorite examples but there are probably a dozen other things worth talking about here). Second: the tokenomic design. Crypto's promise has always been minimally extractive coordination (i.e. think coordinating drivers and ride-seekers without Uber extracting 30% for designing the marketplace on your phone app). But every decentralized network faces a chicken-and-egg problem: users won't pay for an underdeveloped network, and operators won't build without revenue. VC capital "solves" this but reintroduces the extraction crypto was supposed to eliminate (don't we all know this too well). Fair-launched native tokens solve the bootstrap without reintroducing extraction. But that only works if sufficient value eventually flows back to the token. This is where dTAO and TAO Flow come in. Every subnet has a protocol-native AMM pairing its alpha token against TAO. No other way in. Subnets that attract buying flow get more emissions. Subnets that don't, lose emissions and eventually get deregistered. This creates a direct incentive for subnets to (1) be good faith actors (i.e. don't try to farm/manipulate the system) and (2) generate real revenue and commit it to buybacks (rather than farm tokens and dump). If you don't, your subnet simply flounders and dies. Those buybacks mechanically create TAO demand because all alpha pairs against TAO. This is accretive yield. That doesn't even account for the fact that the best subnets earn an outsized portion of protocol emissions (which is a different form of yield entirely). Once you hit a certain scale that subnet alpha token is going to become an attractive investment on its own. Importantly, anyone who wants to join in and invest in that subnet to earn a piece of it will be required to first buy TAO off the market and then stake it (thereby locking up the supply) to hold the subnet token with its yield. So at bottom what you have is TAO functioning as the index for the entire subnet ecosystem. If any subnet is doing fantastically (real revenue and/or speculative investment) TAO is necessarily and mechanically pumping. All subnet tokens are essentially rehypothecated TAO (due to the way you stake to "buy" alpha) so every subnet benefits when one succeeds. Revenue buys back token → token appreciates → larger dollar value of emissions → bigger subsidies → attracts better miners and validators → better outputs → more revenue → cycle repeats. That's the flywheel underpinning the entire ecosystem. And here's the part I think most people haven't fully internalized yet. I genuinely believe Bittensor is a 0-to-1 moment in cryptoeconomic incentive design. The subnet architecture can be purpose-built for just about any idea you can conceive of (not just AI, although that's obviously the dominant focus given where the world is heading). If you have a good idea and a sound incentive mechanism, why would you go anywhere else? You get the lowest-friction path to insanely deep mining and liquidity pools that took years and over a billion dollars in emissions and four years to coalesce. If your idea works, you get massive subsidies immediately to bootstrap. Study the ascent of Ridges. Went from zero to 80%+ on SWE-Bench and a consumer product launch in less than a year. I'm pretty sure total emissions to that particular subnet are less than $10 million. How much have Cursor/Windsurf/Replit spent? And it fair launched. No premines, no VC insiders sitting on discounted tokens waiting for liquidity events. Everyone who holds TAO earned it through work. It's already more distributed than Bitcoin. The code is open source, anyone can fork it. But you cannot fork the mining pools, the validator set, the subnet composability, or the deep liquidity in the enshrined DEX. That's the moat, and I think it's impenetrable at this point.

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Targon
Targon@TargonCompute·
You can now Spin up a Minecraft Server using Targon Rentals Template ☁️ → Head to Targon Rentals → Create New Rental → Select Minecraft Template Enjoy mining powered by Targon Virtual Machine ⚡️
Targon tweet media
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Openτensor Foundaτion
Openτensor Foundaτion@opentensor·
The best subnet builders architect mathematically rigorous objective functions. The subnets they build are precise production systems with: - Clear, measurable outputs - Validators scoring performance - Aligned incentives: Proof of useful work Build the subnet mechanism. Let the network scale it. Build on Bittensor.
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Openτensor Foundaτion
Openτensor Foundaτion@opentensor·
Bittensor: The Thousand-Year Federation. Every decentralized network reaches the same threshold: When it stops being operated and starts operating itself. In this episode: • On-chain governance • Decentralized chain nodes • Community-ratified upgrades • Triumvirate proposal system • Validator and subnet voting power Watch → youtu.be/oAzOvgnDEak
YouTube video
YouTube
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Laτenτ Holdings
Laτenτ Holdings@latentholdings·
We are hiring! Lead Frontend Dev (tao.app) Senior SWE (ridges.ai, python) Remote, full-time contract Work with us for a challenging role with great colleagues include your resume and a movie recommendation hiring@tao.app
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