bittensor_billy @bittensor_billy

It would have taken less than a minute if @const_reborn didn’t insist on us building an agent to deploy new runs. Amazing moment, so much more to do.

const @const_reborn

4 hours ago

Just orchestrated a 128 node permissionless decentralized training run, in 5 minutes, for 5 TAO, via @IOTA_SN9 They can do this up to 100B param models. Unbelievable. iota.macrocosmos.ai/dashboard

26 96 494 17K 22

I feel really lucky to have Chris joining the team at such a pivotal moment as everything in bittensor accelerates Sidenote: he’s a wizard when it comes to decentralized training and can become fluent in a new industry like drug discovery within a few days.

Chris Davis @capradavis

4 hours ago

Extremely excited to announce that I’ve joined @UnsupervisedCap to invest alongside @Old_Samster and @bloomberg_seth in what I believe is the most meaningful movement in decentralized technology. In hindsight, becoming a believer was inevitable. At the heart of the Bittensor

27 13 91 7K 7

Extremely excited to announce that I’ve joined @UnsupervisedCap to invest alongside @Old_Samster and @bloomberg_seth in what I believe is the most meaningful movement in decentralized technology. In hindsight, becoming a believer was inevitable. At the heart of the Bittensor thesis is the idea that crypto is, and has always been, a highly optimized global coordination engine. That idea is what originally drew me into the crypto industry, and the one that has kept me here for the past five years. Bitcoin proved the idea works for running cryptographic algorithms. Bittensor extends it to any objective with a reliable reward function. My long term conviction is that Bittensor will coordinate intelligence on an unimaginable scale, fueling a virtuous cycle that pulls immense amounts of capital and talent into our industry while erasing years of reputational damage done by opportunistic actors who were never aligned with the foundational ideology crypto was built on. After that who knows - but you gotta start somewhere. If you want to chat about anything and everything Bittensor, my DMs are open.

Subnet 28 GM @say_gm_ might be the easiest Bittensor subnet for the entire world to understand and use in the near future. Built by @mogmachine, @fish_datura and supported by @const_reborn. Fish waited a full year before picking the perfect project to launch on SN28. GM is creating the OpenRouter + Venice AI hybrid that Bittensor was badly missing. Why pay full price for Claude, ChatGPT or Gemini when a decentralized marketplace can provide that same intelligence cheaper privately? Frontier models today. Open source and uncensored models tomorrow. Private. Cheaper. No vendor lock-in. Soon you'll be able to connect a wallet and pay seamlessly with USDC, TAO, and GM itself. This isn't just for Bittensor users. This is for everyone who uses AI. The best of Bittensor, delivering a great product for everyone. @opentensor

Ditto will be locking 40,000 alpha into conviction. For context, this is 100% of the alpha owned by the team. Ditto is forever. This is our conviction.

Over the past month, we have repurchased 2000 TAO of SN4 alpha using organic revenues from the Targon Confidential Compute platform. We remain committed to building a sustainable flywheel for the continued growth of our decentralized cloud.⚡️

Just linked my OpenClaw to my @heydittoai account. Ditto now knows everything my OpenClaw knows. They share memory. They're a hivemind now. Holy crap.

What if Openrouter and Venice had a baby on #Bittensor. Just got my gm invite. One key for Claude, GPT, Gemini, routed through a hardware TEE so prompts stay private. Waitlist: saygm.com/?ref=f08375bbc…

this is exactly why I love what @opentensor has built 3 subnets using each other’s capabilities to innovate and create real value and btw, yes our vision skills on sn44 are the real deal @webuildscore will become, more than ever, the home of open source vision intelligence

Swarm @SwarmSubnet

7 days ago

Proof of concept: real-time fire detection from an autonomous drone Live camera → fire detection → annotated evidence → agent decision loop → movement command @manakoai detects the fire @chutes_ai decides the next move @SwarmSubnet turns it into a flying agent We're not

14 23 129 18K 8

Just for clarity: This has the potential to fundamentally disrupt both the current AI compute market and the frontier LLM training race. Why? Because Parallax by Chutes is starting to demonstrate something that was widely considered impractical until now: large-scale decentralized training for frontier style MoE models. If this continues to scale (we have reasons to believe it will), the implications are huge: - frontier training across massively distributed hardware - significantly more cost efficient to train - has the potential to free up huge load of the severely constrained data center capacity, that is currently tied up for centralized training (estimates say 20-50% of dc compute is locked for training) - heterogeneous training fleets, e.g. high-end NVIDIA B300 GPUs alongside consumer hardware like MacBooks - the possibility for ordinary people to contribute compute, participate in training frontier AI, and earn crypto rewards with it, basically: models from the people for the people. Yes, this is basically SETI@Home for frontier model training. Democratizing the benefits of AI. AKA one of the core visions of Bittensor as I understood it. /cc @const_reborn , please correct me if wrong. And the most insane part actually comes AFTER training: The same architecture choices also appear to massively improve inference efficiency. Think multiple times better revenue/cost ratio for inference providers. Oh, and btw, Chutes is an inference provider. Most people still underestimate how big this could become. Stay tuned. Or no, even better: Please share. We need to get the message out there. Except if you are an investor or want to train a huge model, in which case: please reach out via DM. $TAO

Jon Durbin @jon_durbin

a week ago

Just for fun I kicked off a run of a 176b parameter model on ~140 steps to prove feasibility - 4 separate nodes across the internet using the "Parallax" method, works like a charm. Still need a more concrete plan on dataset curation, phases, context elongation, etc. etc. before

21 50 273 90K 21

Watch this video on $TAO Big time investors in Bittensor do not watch 4 hour candles. They think in years & decades While small time traders think only about charts, big time AI tech investors in $TAO think about fundamentals & AI tech. $TAO is winning

I pay Claude $20 a month. Most $TAO holders do too. There is a stack you can build in 15 minutes that fixes that completely. It runs on Bittensor. It costs $10. You do not write a single line of code. Here is how every AI chat product actually works under the hood. Three layers. Always three. The model. The brain. GPT, Claude, DeepSeek, Kimi, GLM. The inference layer. The GPU that runs the model when you hit send. The interface. The chat box you actually look at. ChatGPT and Claude bundle all three and hand you the result. You cannot change the model. You cannot change the inference. The interface is non-negotiable. Every prompt you type goes to a server run by a private company whose terms of service can quietly change next month. The anti-ChatGPT move is to pick each layer yourself. This is where $TAO comes in. Chutes is Subnet 64 on Bittensor. It is the inference layer. Open source models like DeepSeek, Kimi, GLM, and Llama get served by a global network of miner-operated GPUs. Validators score the output quality. The best inference wins the emissions. You hit send. A miner somewhere runs your prompt. You get the answer back. The TAO you hold is in part paying for the GPU you just used. The basic stack is one URL. chutes. ai/chat No account. No API key. No setup. Switch models mid-conversation. Web search built in. Image generation. File uploads. Free. The advanced stack is Chutes plus TypingMind. One-time license. No recurring fee. Plugins, agents, custom personas, a prompt library you build over months. Full model switching between Chutes, OpenAI, and Anthropic from the same window. Total cost: $10 a month to Chutes for inference. That $10 buys you $50 in actual usage. But here is the signal most people missed inside this story. Chutes ran a free tier until February. Then they killed it. Then they raised the minimum to $10 in May. Most people saw that as bad news. It is the opposite. Free things on the internet do not last. Real products do. Chutes is becoming a real product. A subnet that generates actual revenue from actual users paying actual money for actual AI inference. That is what $43 million in Q1 network revenue looks like at the individual subnet level. And there is one more thing ChatGPT and Claude cannot offer that Chutes already has. Trusted Execution Environments. Your prompt gets encrypted on your device, shipped to a confidential compute GPU, and the lock only breaks inside the chip. The miner running the model physically cannot read your prompt. ChatGPT cannot promise that. Claude cannot promise that. Bittensor already built it. You are holding a network where the subnets are generating real revenue, shipping real privacy infrastructure, and replacing $20 a month centralised subscriptions with $10 a month decentralised inference. The people who use the product always understand the investment better than the people who only watch the price.

the largest decentralized training run will be happening on bittensor (again)

Mis primeros 10 $TAO No puedo estar más feliz. Fueron 6 meses de ahorro, duda, alegria y miedo, pero se logró, esta era mi primera meta. Se que puede bajar otra vez, pero también puede subir mucho más. Mi convicción aumenta cada día, confío en el proyecto, en la comunidad y en @const_reborn $TAO Hasta la luna 🚀🔥

Conclusion: Real-world security requires game-theoretic deterrence, not blind idealism. Using semi-decentralized safeguards protects the treasury while the code matures. True legitimacy now hinges on establishing clear, community-validated metrics. Also, the fact that the team is constantly implementing hard decisions instead of waiting for everything to fix itself strongly signals that Bittensor's capability to adapt and evolve is unmatched. That proactive engineering mindset is exactly how a network survives long-term. (7/7)

This is in Alpha only. But a $TAO-powered ChatGPT-like interface. Bluetao.ai . Only using bittensor subnets (e.g. @chutes_ai ) for test and image inference. Also, you can upload files and ask questions about the files. And, for sign-ins, persistent chat memory. No censorship. Total privacy. And I'm getting the results at 1/250th the cost of ChatGPT. Only in alpha right now so might have errors or changes coming.

Best could happen to Bittensor and dTAO is a subnet to breakout without the blessing and support and highly influential people inside of the eco. Organic growth. Driven by truly outstanding execution and product. Both Bittensor and non-Bittensor/non-crypto people

Such a weird thing to trade in dtao. It's the first market afaik where the underlying currency (tao) has a maximum supply. Traditional markets' underlying currency (fiat) has no maximum supply. We're building a different world a world based on sanity instead of graft.

David's has an incredibly illustrious career, from McKinsey -> founder -> CMO at Google -> running Capital G (Google's $7B fund) -> co-founder of Crucible Labs. What did he see that led him to Bittensor? Sami, an aerospace engineer by trade and a researcher at Messari, has been an early and strong advocate for Bittensor's potential. listen to our backers @CrucibleLabs and @UnsupervisedCap talk about what brought them to Bittensor and why they're funding us. part 2 coming soon :)

ORO @oroagents

2 weeks ago

Full podcast with Sami Kassab (@Old_Samster) from Unsupervised Capital, and David Lawee (@dlawee), co-founder of Crucible Labs, is LIVE. Watch the full conversation with Sami, David, and Oro co-founders Shardul and Seth, where we discuss the importance of trust in AI shopping,

6 16 104 769K 26