Mark Creaser

🌌 Introducing Orion, SN27 Orion is a decentralized data subnet built by the same team behind @QuasarModels Our incentive mechanism is designed specifically to discover, generate, and curate the highest-quality data possible for training AI models. By using miners, we can reduce the cost of producing high-quality datasets from approximately $100,000 to as little as $10,000, while enabling miners across the network to help discover billions of valuable training tokens in a decentralized and cost-efficient way. We are starting by providing high-quality data for SN24 Quasar and SN3, helping both networks scale their AI training further. But Orion will not stop at Bittensor. We are building Orion AI, a product that will provide high-quality training data to AI developers and companies around the world. We plan to begin rolling out the beta next month. We are also excited to welcome @MarkCreaser and @SiamKidd as investors, and we are grateful to @const_reborn for advising us and helping shape Orion’s incentive mechanism. We will begin releasing the incentive mechanism, sharing the code, and publishing regular development updates through our Discord. Keep an eye on Orion.This is only the beginning. 🚀

Next week I'll be on a stage in London talking all things @Bitcast_network + Bittensor Very excited to be showing off the latest developments in our product and subnet! dsvfund.com/inside_bittens… Code DSVFRIEND = half price tickets

Revenue Search 70: ROOT REBORN. Discovering asymmetric upside in AI start ups. x.com/i/broadcasts/1…

Been a while since we have done a Revenue Search (been so busy!) so we thought we'd have an RS to talk about all the changes and chat general dTAO stuff. Will be Thursday (tomorrow) at 1530 UK time and will be streamed here, @dsvfund and @MarkCreaser See you there!

All my @rendix_network alpha is now locked: @eirel_ai (SN36) - 64,378 @nexisgen_ai (SN70) - 77,654 @leoma_ai (SN99) - 141,478 @vex020900, who runs Rendix, has locked his too: Eirel - 48,870 NexisGen - 59,237 Leoma - 63,131 Make of it what you will.

This is the exact thesis Eirel.ai is built on — and it's the right one. "Bigger model" stopped being the moat a while ago. The frontier is a single API that orchestrates many models into one answer for long, real-world work. Sakana just shipped proof of that. Here's where we diverge: their pool is one lab's models behind a closed API. Eirel orchestrates an open market of competing agents — anyone can submit one, every output is independently verified and scored, and rewards flow to whoever actually performs best. Same single-prompt → shipped-result experience. Decentralized, verifiable, and always competing to get better. Orchestration shouldn't belong to one vendor. From prompt to execution — Bittensor Subnet 36. $TAO

Astrid Arena V3 Technical Walkthrough and Q&A x.com/i/broadcasts/1…

In just our first month......... buyback completed. Green Compute SN110 has now completed an $8,200 USD buyback (37 TAO). We believe this could be the biggest Month 1 buyback ever and it’s only the beginning. Transparency matters, so the buyback wallet is public: 5D2UXtzXhP2YCgreodgrGMs2niVZWv2Xt7cxJwYWioU6hdTH More to come.

We are releasing the first product from Eirel.ai. Deep Research. Image generation. Web search. URL fetching. Python sandbox execution. RAG over your own document corpora. Powered by multiple model families: DeepSeek, Kimi, MiMo, GLM, MiniMax, and more. The difference is the tool stack. Eirel is backed by owner-routed tool services, so agents can search, fetch, compute, verify, retrieve, and reason across real documents. Plans start at $10/month: Plus: - 500 messages/day - 20 images/day - 10 deep-research runs/month - 10 agent runs/month Pro: - 1,000 messages/day - 60 images/day - 30 deep-research runs/month - 30 agent runs/month - Scheduled agent tasks Max: - Unlimited messages - Unlimited images - 300 deep-research runs/month - 300 agent runs/month - Unlimited projects, storage, and memory - Flexible AI infrastructure. Serious model access. Much cheaper than ChatGPT. Try it: eirel.ai $TAO #Bittensor

@taostacker @RadoTsc @SiamKidd Agreed.

@RadoTsc @SiamKidd @MarkCreaser This is weird (and inaccurate)

All public entries of @SiamKidd and @MarkCreaser's subnet fund Dsvfund To note that they sometimes invest in subnets that de-register but the alerts show the most up to date subnet names. $TAO #bittensor

AdTao wasted little time in getting to their first buyback, good work @RobWarner

88,000 video clips. 123 hours of training data for video generation. Built for training video generation models. @leoma_ai miners, this dataset is ready for you to use. At a simple $1 per minute benchmark, this dataset represents over $7,000 worth of generated training data. Now available on the Nexisgen catalogue. #AI #Video @huggingface $TAO #Bittensor nexisgen.ai/catalogue/vide…

We just hit a big milestone. In only our first month in Bittensor, we have now generated over £82,000 in profitable revenue which means the first buyback is now set in motion. 10% of month-one revenue = $8,200 of token buybacks, to be locked in the treasury. So excited to be the FIRST subnet to be able to do this in the first month of operating. We are only just getting started...

Almost nobody understands Bittensor. That’s exactly why we’re hosting “INSIDE BITTENSOR” LIVE IN LONDON on 1st July. If you’re interested in: • AI • Crypto • Venture investing • And what we believe could be one of the most asymmetric opportunities of the next decade - then join us. No technical background required. Just a curiosity about where the next wave of value creation is emerging. 📍 London 📅 1 July 2026 Buy your ticket here: dsvfund.com/inside_bittens…

NexisGen just published one of the first Bittensor-native, open, training-ready video generation datasets on Hugging Face. 50,000 standardized clips. - Not raw footage. - Not source URLs. - Not timestamps. - Not a dataset that needs days of preprocessing. Every clip is already prepared for training: - 1280 × 704 - 24 FPS - 121 frames - Pre-clipped - Consistent format This is what open video generation has been missing: clean, model-trainable video data at scale. Links: - huggingface.co/datasets/nexis… - nexisgen.ai/catalogue/vide… $TAO

SN99 (@leoma_ai) continues to make significant improvements to its AI video generation model. A video recently generated by their miners has already caught the attention of @const_reborn . Video prompt: The camera performs a rapid, low-altitude forward dolly movement, gliding over a rugged, rocky mountain slope. The perspective shifts continuously as the camera descends and tracks forward, maintaining a consistent downward angle toward the uneven terrain. The motion is fluid and steady, simulating a drone flight path that traverses the desolate, boulder-strewn landscape. The scene features a sparse, mountainous environment with patches of snow and low-lying vegetation, captured in a continuous, uninterrupted shot throughout the entire duration.

Revenue Search 69: SN103 Djinn. Discovering asymmetric upside in AI start ups. x.com/i/broadcasts/1…

Nowadays, most AI companies already have the model architecture, training pipelines, and GPU clusters ready. The real bottleneck is high-quality training data. That's why Bittensor subnet 70 - @nexisgen_ai matters. We've already collected 22+ hours of video training data, starting with video generation datasets and this is only the beginning. Video generation companies like @grok , #Seedance, @runwayml , @pika_labs , @LumaLabsAI , @Hailuo_AI , @Kling_ai , @GoogleDeepMind , @HaiperGenAI , @ViggleAI , @HeyGen , and @OpenAI should take a look. If you need high-quality video generation training data for your models, reach out me. Dataset preview: - 1280×704 resolution - 24 FPS - 121 frames per clip - structured clip IDs, producers, and intervals - nexisgen.ai/catalogue/vide… I’m ready to share this dataset with you for free, @elonmusk , for @grok.

Proud of the team for making the right call here. Holding a slot for the sake of it helps no one. Siam and I will park it and take our time finding the right project to put in its place. If you're building, get in touch.

Revenue Search 68: SN78 Vocence. Discovering asymmetric upside in AI start ups. x.com/i/broadcasts/1…