We are getting closer to this aha moment in CT: “Wait, Bittensor is like BTC? But the miners help build SOTA AI startups?? And those startups are forced to hoard bittensor:native to retain access to their miners??? Why did no one tell me this earlier????”

OpenRoboto SN80 just took another major step forward in robotics. 🤖🔥 @axisrobotics and @openroboto are launching the Open Axis Benchmark, where fresh manipulation tasks rotate between rounds so models have to prove they can actually generalize, not just memorize a fixed benchmark. This is the kind of infrastructure embodied AI needs. Train better robots, test them against evolving tasks, then keep raising the bar. Bittensor is getting real robotics infrastructure built on top of it. bittensor:native

Robotics are quietly gaining momentum, and @openroboto seems like a great place to kick off your research. Built on Bittensor, they’re doing some pretty cool stuff! (Also listed on Base and the $HOOD chain) Now check this: Robots need to learn from the physical world. That takes a LOT of real-world data. That’s why @openroboto’s Shift caught my attention. People can record everyday tasks from a first-person view, and Bittensor rewards accepted contributions. SN 80 even built a headset to capture the footage. The business path makes sense to me: robotics companies pay for the data they need. After a customer’s exclusivity period, eligible data can open up for researchers to improve the models. One network helping collect the data and build better robot brains. Only Possible on Bittensor. $TAO

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Doug is the all-knowing AI agent for @taostats, now powered by SayGm. Live subnet prices, validator rankings, staking yields, wallet P&L, decoded transactions, straight from the chain. Every question you ask Doug is routed through SayGm's TEE. Ask Doug anything.

We're now LIVE! $TAO Bungalow Chatting the latest & greatest, explaining Bittensor nitter.net/i/spaces/1vJpPNaqYZZJE

21M. 21M. 21M. Fair launch. Open networks. No company sitting in the middle. bitcoin:native : ~$1.7 TRILLION zcash:native : ~$26 BILLION bittensor:native : ~$3.3 BILLION Bitcoin owns the sovereign money narrative. Zcash is emerging as the privacy money narrative. And TAO sits at the intersection of two of the biggest movements happening in technology: AI + decentralization/open source Open source AI is gaining real momentum, yet TAO is still a fraction of ZEC’s value and roughly 1/500th the market cap of Bitcoin. The opportunity IS TAO

Are we all just going to ignore the fact that Bittensor now has 25 subnets generating revenue? $28M–$35M annually and projected to surpass $100M by the end of 2026 This is just the beginning for bittensor:native

Choose your fighter. 21M supply. Fair launch. Open network. bittensor:native $ZEC $BTC

We need enterprise miners with real work sites. @LeadpoetAI finds the companies that have them. OpenRoboto (SN80) and Leadpoet (SN71) are partnering to bring them onto OpenRoboto Shift — starting with a pilot package covering high-intent leads and outreach.

We’re excited to announce a pilot with @OpenRoboto to support the growth of OpenRoboto Shift. Shift is building a decentralized network to collect real-world training data for robotics. Leadpoet will help identify and engage the enterprises that can power it, from factories and warehouses to kitchens and hotels. The partnership combines high-intent lead generation with targeted outreach to bring these businesses onto Shift as enterprise miners. SN71 × SN80. Two Bittensor subnets connecting their capabilities to drive global enterprise adoption.

We went quiet for three weeks. A lot happened: → Chutes has a new CEO. Christian Hyland (@cjohan247), ex-Coinbase, Toku, First Wave AI → Parallax is pretraining an 8B MoE in public. Live register, every number read from the fleet as it trains: parallax.chutes.ai → Jon's inference preview: 15.5k output tok/s on a single RTX 5090. Unoptimized branch, read it as a preview → Jon ran a training node off two solar blankets, a Starlink dish, and a DGX Spark in a field. Under 200 watts → New confidential VM shipped. Rebuild it yourself on any Linux box and check our measurements. Byte-identical across four builds Next week: Exploit Summit, Montreal. Jon's speaking, we're platinum sponsors, and we're not turning up to hand out stickers. Full breakdown below 👇

Stripe just bought OpenRouter for a reported ~$8B. @say_gm_ is attacking essentially the same AI gateway/routing market, except Bittensor’s miner competition can drive inference costs lower. SayGM currently shows roughly 20% savings across several frontier models vs OpenRouter when OpenRouter’s credit fee is included. Same massive market. Cheaper inference. Private inference as a bonus. Powered by Bittensor. You don’t need much imagination to see the opportunity here….

SN80 OpenRoboto just launched Shift and is expanding its robotics data network across Base and Robinhood Chain. @openroboto is pairing that multi-chain distribution with Shift’s real-world robot data collection, giving the network more places to coordinate contributors, incentives and training data. bittensor:native

Robots don’t care which chain you’re on. Soon enough more and more people will realize that's the idea behind @openroboto base:0x6f63d869011f95274498023b4abfc00b30c34378 launching Shift AND going multi-chain. The future of decentralized robotics shouldn’t live inside one ecosystem. Shift is a step toward making OpenRoboto infrastructure accessible wherever the users are. Physical AI is going cross-chain. 🔀

Try Kimi K3 with a 1M context in Claude Code through engy.ai. ANTHROPIC_BASE_URL=api.engy.ai ANTHROPIC_MODEL=kimi-k3[1m] engy.ai/docs

OpenRoboto base:0x6f63d869011f95274498023b4abfc00b30c34378 is quickly becoming one of the can’t miss Bittensor $TAO subnets Crazy part is the market cap is still only $20M If this token was Robinhood or Solana native it would be 5x that already Take note 📝

agents.actual.inc will literally get you running qwen locally with hermes agent in less than 10 minutes

I first spoke of @chronollm in July, and several times called them my favorite subnet. (Their alpha token symbol is still in my username on the bittensor discord, lol). I brought up how strong the team was. I talked about how their history of being a known name within deAI circles was nothing to scoff at. I explained exactly what their goals were in simple English. It's been a while since July, and the team has continued working quietly with their heads down. I literally did a "set-it-and-forget-it," because I saw value. While taking a look every now and then at how things were going and what they've been up to. No rush. So I feel super happy seeing progress and a promising future being reflected on the chart. Here's to many more green candles in the future. Fun fact, @herelle_jean was exactly my 400th follower on twtr. Today I'm at ~600. ChronoLLM and myself have been slowly growing together. ;)

A closer look at what just happened with SN112. Pylon Partners acquired the subnet and is turning it into THOR, focused on physical AI and robotics. The problem they’re attacking is massive. Robotics has a data bottleneck. LLMs had the internet to train on. Robots don’t. If you want robots to learn how to manipulate objects, work in warehouses, recover from mistakes, or interact with the physical world, that experience has to be created, collected, labeled and validated. Look at Scale AI. Meta invested $14.3 BILLION for a 49% stake last year, valuing Scale at over $29B And Scale is now pushing heavily into physical AI, building infrastructure to collect, annotate and validate robotics data. This makes THOR very interesting. They’re attacking a similar problem, except using Bittensor incentives to turn some of that centralized production process into an open market. A robotics company needs data. They submit the job and requirements. SN112 distributes the work. Contributors compete to produce it and validators make sure the output meets the customer’s standards. Instead of THOR having to build and manage the entire workforce themselves, Bittensor gives them an incentive layer capable of pulling productive capacity from anywhere. And as robotics scales, the need for real world training data should scale with it. Scale AI has already shown us how valuable AI data infrastructure can become. THOR is basically asking whether Bittensor can build a better way to produce some of it. Pylon didn’t buy a random subnet and slap robotics on it. They picked one of the biggest bottlenecks in physical AI and are applying Bittensor incentives directly to it. I’ll be watching SN112 closely. bittensor:native @THORMachines