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[lium.io @lium_io]

We just ran Qwen3.6 35B at 14,499 tokens per second.

on 1 lium GPU.

85% cheaper than Openrouter.

how you can do it too ⬇️

[Kusanagi @kusanagi_vntrs]

Today, we’re introducing Kusanagi: the Bittensor Growth Engine.

We built Kusanagi to drive Bittensor’s real-world adoption, bring more capital into TAO & subnets, and give people better ways to participate in the network.

MUV is becoming Kusanagi Validator, and this account will now cover the wider Kusanagi structure.

@taoswap_org is a Kusanagi product, giving users one place to trade subnet tokens and explore the network.

We work directly with subnet teams on strategy, communications and go-to-market so strong technical work can reach real customers.

We’re also working toward a regulated vehicle that would let traditional investors gain exposure to TAO and subnet tokens.

Kusanagi was founded by @Rapido_ai, @jtledore and @VictorVL_EN

@Rapido_ai built Taoswap and Kusanagi Validator (formerly MUV), and now leads the technical development of both.

@jtledore is a Strategy Partner at @PwC_France and drove the nine-month process that led to PwC’s alliance with Score/Manako.

@VictorVL_EN leads comms at @opentensor and works with subnet teams on positioning, communications and branding.

@MaxScore, founder of @webuildscore, is a close advisor to Kusanagi and brings deep experience as a subnet owner.

Bittensor has no shortage of strong technical teams. The next phase is getting their work into the hands of real customers and building companies around it that can scale.

We want to help drive that shift while making the network easier to access for users and investors.

Our ambition is to push Bittensor far beyond its own ecosystem and into the industries that need what its teams are building.

[Score @webuildscore]

John Wick scenes are one of the hardest to track. we ran our subnet vision models on one of them.

Shot at night, barely any light. The camera whipping around, cars sliding sideways, people cutting through the gaps, all of it smeared with motion blur. this is the footage most models fall apart on.

Ours held it. every car and every person detected, outlined, and tracked, each one carried under its own ID from the moment it enters frame to the moment it leaves. thousands of unique tracks across the clip, through the dark and the chaos, without losing the thread.

And the model doing it is smaller than you would ever guess. no giant model, no cloud.

[Score @webuildscore]

The newest GTA 6 gameplay trailer dropped yesterday. we ran our subnet vision models on it.

Person, car, gun, segmented and tracked across every scene. night, water, motion blur, freefall over the city. footage the model had never seen.

The part that matters is that this isn't a huge model. it's tiny, and it runs near real time.

Vision that works in the real world...and the fake one.

[404 @404gen_]

Following yesterday’s Novelty Search, we’re officially introducing 404’s 3JS game generator.

Repo: https://t.co/R5wodUHDl0

With this, anyone can point a coding agent at the repo, describe a game, and generate a playable game using 404-generated assets.

[Score @webuildscore]

Next growth move for Score Studio:

Native Vision AI plugins for every vibe coding tool.

Starting with @cursor_ai.

Hoping to land in the official marketplace soon.

[const @const_reborn]

Announcing Teutonic-II-110B: a frontier permissionless training of a 110B LLM

We are scaling 10x beyond our previous model and 50% larger than any prior decentralized run.

[const @const_reborn]

Today, after 4 months, Subnet 3 (previously @tplr_ai) got retaken by holders through vote.

We're celebrating by releasing our first model.

Teutonic-I: the worlds most performant decentralized LLM.

https://t.co/TNHtP0hfyr

[404 @404gen_]

Atlas is our production-ready application layer for creators, studios, and enterprises.

It is also one of the strongest proof of enterprise adoption for 404, because it helps studios take 3D assets from generation into real production workflows.

Atlas provides the depth production teams need, from watertight meshes with retopology to UVs, PBR textures, and rigs, while keeping creators in control at every step.

[Score @webuildscore]

Roboflow charges you for models you have to verify yourself.

Introducing Score Studio: the decentralised alternative where every model arrives already proven and ready to work in real world conditions.

Every model on the platform is battle-tested through SN44's validation mechanism before you ever touch it.

Miners compete, validators score, only the winners survive. You get the output of a permanent open competition, at a fraction of the price.

Datasets, annotation, training, deployment. All of it cheaper. All of it validated, accurate and efficient.

Need a model that doesn't exist yet? Launch your own model inquiry from the Studio and put the network to work on it.

Pay in USD or SN44, straight at subnet level.

We're putting the final touches on it now.

[Leadpoet @LeadpoetAI]

Leadpoet V2 is coming.

We’re building an AI sales agent that sells your product for you.

This week, it starts selling Leadpoet.

It finds companies showing real signs they may be ready to buy, reaches out with relevant messaging, tracks new buying signals as they appear, and keeps working to turn qualified prospects into pipeline.

We’ll use it to identify and engage thousands of qualified leads every month.

Soon, any company will be able to give Leadpoet its product, target customers, and sales goals, then put our sales agent to work finding and engaging the right buyers.

The vision is simple: every company should be able to turn on a sales engine that learns, improves, and creates new opportunities around the clock.

[James Altucher @jaltucher]

@BrendyLoopring @FacetSir @tylerdurdeth $TAO is not just a marketplace for AI. Its decentralized vision for all free markets. You can rebuild Uber as a subnet. You can rebuild stock markets as subnets. $2000 is not even the beginning of where $TAO can go.

[Mark Jeffrey @markjeffrey]

HOW much cheaper is @engyai inference versus everyone else?

Here you go.

Similar cheaptification for Kimi K3 coming ~1 day.

Bittensor $TAO.

[Score @webuildscore]

$SN44 is now live on @krakenfx.

Nice milestone.

Back to training models.

[Leadpoet @LeadpoetAI]

We’re excited to share that @Dropbox and one of its sales partners are piloting Leadpoet’s AI sales intelligence platform.

Our vision is to become the intelligence layer behind enterprise sales, helping large sales organizations identify real buying intent, prioritize the right accounts, and turn better intelligence into revenue.

This pilot brings together two critical parts of that vision: validation from a category-defining technology company and a scalable path to distribution through the partners enterprises already trust.

It is a major step toward embedding Leadpoet into the sales workflows of the world’s largest organizations.

Enterprise sales is moving from volume to intelligence. We are building the layer that powers that shift.

[Algod @AlgodTrading]

Aslong $tao its sole focus becomes subnet quality i think its a high probability it will succeed

No politics, no idealism, let markets do the thing and eventually capital will find its right path

[Openτensor Foundaτion @opentensor]

.@bitmind just published a paper placing BitMind Forensics among the world’s top deepfake detection systems.

It matched the best commercial image detector, beat the best commercial video detector, and outperformed top models on major benchmarks.

Here’s the Bittensor edge:

[Max @MaxSebti]

anyone can mine anything now.

point it at a subnet repo. it figures out the rest.

all you need is a chatgpt or claude account and some compute. no ML engineering.

works on @kaggle, @bittensor, @tigfoundation, @crunchDAO, your own local runs...

you point it at a goal or a frontier and it works autonomously to break it.

no ML background needed. you connect an llm (chatgpt, claude) and any compute (@lium_io, @chutes_ai, @runpod...). that's it.

i'm not building this to farm $TAO. i'm building it to work on RSI.

open source it? saas? genuinely asking.

[404 @404gen_]

This is your reminder to play The Dream, 404’s Chroma Award-winning game built using SN17-generated assets.

At 404, we aim to help kickstart the next revolution in gaming around AI-native games.

That starts with democratising 3D content creation through Bittensor, making it easier for creators to build virtual worlds, games, and AR/VR/XR experiences without needing massive production teams.

The long-term vision is to let creators describe the game or world they want to build, then generate the assets, sound, voice, and environment around it.

The Dream is an amazing example of that vision.

It is a fully playable 3D open-world experience created by a two-person team in just 30 days, using over 12,000 assets generated with 404.

The goal is not to replace enterprise game development.

It is to create a new layer where individuals and small teams can build and explore high-fidelity game worlds without needing a massive AAA-style pipeline.

Sometimes, you need to see it to believe it.
Play The Dream yourself at: https://t.co/VkRM8B4i4g

[Openτensor Foundaτion @opentensor]

Bittensor is built for an agentic world.

The new Bittensor documentation is machine-readable. Agents can load the full corpus into a context window, discover chain operations, preview them, and execute them.

Builders also get a clearer path into the network, with a five-minute Quickstart, SDK and CLI guides, and migration resources.

Full documentation in the first comment.