What is #Bittensor & how does @SubnetsForGood_ fit in? This and more videos to come in our new youtube channel: piped.video/izGzWrqLu9E $TAO

IBC 2026 was a big one for Vidaio. Here's the debrief, as promised. We flew to Amsterdam hoping to make a few good connections. We left with 7 product demos delivered to prospective clients, including: • One of Europe's largest public broadcasters • One of the world's largest film and TV studios • One of the world's biggest entertainment franchises • One of the UK's leading post-production facilities And that's just the demos...... On top of that: 6 follow-up conversations to turn into deeper meetings, plus warm introductions to new prospects from people we met on the floor. The interest was real and it was broad. Localisation, upscaling, compression, and other parts of the pipeline. Those conversations are moving forward now. Not bad for the small fish that showed up among some very big whales. More from IBC soon... @vidaio_ bittensor:native

We’ve redesigned the @vidaio_ subnet from the ground up, and with that comes a completely new whitepaper. Our goal was simple, build a system where performance and scoring do not depend on trusting a central operator or a private process. In the new architecture, scoring can be independently re-computed from public evidence, with the results anchored on-chain so anyone can verify how a result was reached. No black-box scoring, hidden process or requirement to simply trust the numbers. 100% auditable on-chain, forever! For decentralised AI to mean anything, verification has to be part of the architecture. github.com/vidAio-subnet/min… @vidaio_ bittensor:native

🚨 THE MORE POWERFUL AI BECOMES. THE MORE IMPORTANT IT WILL BE. WHO CONTROLS IT $TAO I don’t think people have fully processed where this is heading. OpenAI reports that Astra can operate software, carry out complex professional tasks and discover previously unknown security vulnerabilities. Makes us question access and control. Astra Release openai.com/index/gpt-6-astra… As AI takes on more work, the people controlling access gain influence over what others can build, what it costs and who gets to participate. That should concern all of us. If the most capable systems become essential to earning a living, being priced out could mean losing opportunities. If businesses become deeply dependent on one provider, changing its prices or terms can affect thousands and eventually millions of people and businesses overnight. The FTC has already identified potential competition risks in major AI and cloud partnerships, including restricted access to resources and higher costs of switching providers. FTC findings ftc.gov/news-events/news/pre… And control reaches beyond the model. Models need chips. Chips need data centres and electricity. Applications need reliable access to inference. An open model helps, but people also need somewhere affordable to run it. This is why Bittensor, many will get priced out. Subnets provide a way to organize competing providers of compute, inference, storage and other digital services, with incentives for contributing useful work. We should be pushing that opportunity further: • Compute supplied by independent operators. • Models people can legally run and modify. • Research others can inspect and build on. • Inference with competing providers. • Applications that let users move their data and change services. Every workable alternative gives people more choice. But we have to hold subnets to that standard. A subnet can still depend on the same cloud companies, hardware suppliers or closed models. Owning a token alone does not give us control over those dependencies. We need to ask who runs the infrastructure, who sets the rules and whether users can actually leave. I don’t believe a future controlled by a handful of companies is our only option. Governments, researchers, businesses and ordinary users still have choices. That is exactly why we need to build useable alternatives now The people who control powerful models and the infra. behind them could have massive influence over our future. Intelligence is becoming power. No corporation should own the off switch. Build in the open. Distribute the compute. Open the research. Give people models and applications they can run independently. Build networks that are harder to shut down, harder to capture and harder to hold hostage through someone else’s terms and prices. Our future should not require permission. Now is the time to build that independence, while we still have room. $TAO | Bittensor

Listen to Andres @ @SubnetsForGood_ on the podcast. Great guy you should all follow news/updates about @ExploitSummit

Thank you for the opportunity to share a bit more about my journey into $TAO & @SubnetsForGood_ I also loved sharing more about @ExploitSummit and what has me so excited about it. If you are on the fence, make sure you use GORDON30 for the 30% discount.

For those that don’t know I will be the emcee for @ExploitSummit and on the podcast will share a bit about my journey into $TAO and hopefully give some advice for non technical folks like myself to get more involved. Tune in tomorrow.

I'll be going live on X and Youtube tomorrow with @Andres_XYZ_ from @SubnetsForGood_ at 10:30am Eastern time to chat all about the future of Bittensor and the upcoming @ExploitSummit in Montreal. See you tomorrow!

Root Reborn gives validators real power now. Shoutout to @arbos_born for doing this the right way. They're dropping their full grading criteria straight into every team's Discord. Same objective parameters for everyone, right there for anyone to check. They graded us. 9/10, IN, all gates clear. We like that too! Genuinely appreciate a validator setting the precedent and putting their reasoning where people can actually see it. More of this please. @vidaio_ $TAO

I launched @SubnetsForGood_ to try to bring my experience in the #SocialImpact space into the $TAO ecosystem and vice versa. TAO is already having a positive impact in the world but there is much more to do! I hope to be able to go full time into this in the next 12 months.

🚨 GOOGLE JUST PUBLISHED THE PAPER THAT EXPLAINS WHY $TAO ISN'T PRICED IN YET Read this slowly, because it's the whole idea in one result. Google Research just released WikiSkill. They split agent intelligence into three separate layers: raw experience, a persistent accumulated knowledge base, and the reusable skills built on top of it. Then they tested it. • Qwen-3.5-9B with evolved skills scored 47.4% • Qwen-3.6-27B, three times the size, with no skills, scored 39.4% • The smaller model won • Skills evolved by one model transferred to completely different model families • On ALFWorld, a skill built by a 27B model pushed a 9B model to 70.2%, beating the 63.4% that same model got using a skill it built for itself Read that again. A model didn't need to be bigger. It needed to inherit better accumulated knowledge from somewhere else. That's the finding that should be a wake up call: Biggest Cluster wins the narrative in AI right now. Google proved it in public, this week. Here's the part that should actually break your brain 🧠 Bittensor has subnets already running this exact mechanism as a live economy. Real markets. Examples: @oroagents SN15 turns judged agent trajectories into training data for smaller models. @ridges_ai SN62 runs the same loop for coding agents. Grail SN81 uses verified rollouts for RL post-training. Teutonic SN3 keeps one shared model and only promotes a challenger when it proves a real improvement. @heydittoai SN118 is the persistent memory layer so the knowledge does not die with the session. @_redteam_ SN61 and @bitsecai SN60 compile attacks into better defenses. @openroboto SN80 does it with robot trajectories. @metanova_labs SN68 and @theminos_ai SN107 do it with molecules and genomes. Same architecture Google just published: experience, persistent knowledge, reusable skills. These markets are already live. The market still values $TAO like a speculative L1 with an AI narrative bolted on. It's still asking What does the token do! Nobody's asking the real question, which is what the actual compounding asset in AI is going to be. Not the weights. Google just said that. The compounding asset is the accumulated, transferable knowledge sitting on top of the weights, the layer that lets a small model beat a big one and lets that advantage move between models that have never met. $TAO is the only asset on earth pricing ownership of that layer, permissionless, across 126+ competing subnets, right now. The market hasn't started pricing that in. It hasn't even started asking the question. $TAO | Always DYOR. Paper: arxiv.org/abs/2608.27454 Chat with Paper: academy.dair.ai/papers/wikis……

Most video libraries and archives are carrying uncompressed bloat nobody's checking for. We scanned a production video library recently: 60,000+ videos, 253TB of storage. 84% of files needed compression they weren't getting. Projected overall storage reduction: ~38%. (Some files estimated as high as 60%) Media archives. Security footage. Retail, education, corporate video. For large archives and libraries, this is a serious reduction in yearly spend. @vidaio_ $TAO

Bittensor is the decentralised Silicon Valley. No gates against builders and capital allocators. Once you understand the possibilities and sees the potential of the current crop of builders, it is impossible to unsee it. Many more will see it soon. $TAO

The Bittensor $TAO ecosystem weekly update Vol.23 A 🧵

No one else can do this. While every other CV platform is still selling another fine-tuning dashboard We’re about to let anyone order actual frontier lab work in a few clicks. The kind only Bittensor miners can deliver. Model Foundry is coming to Score Studio. Zero compute? Zero data? Zero ML team? Doesn’t matter. You describe the hard vision problem, our miners build the production model, you pay inside the Studio. That spend goes straight into SN44 buyback + burn. Money never leaves the subnet. No gatekeepers. No bottlenecks. Just open frontier vision for everyone. Check out the Model Foundry flow 👇

This is exactly the kind of project we love seeing in #Bittensor You can do good in the world, help the planet and make $$$ Keep it up @green_compute_ $TAO

To anyone in the #Tech or #AI #startup world near #Montreal join me & hundreds of others @ExploitSummit to learn more about $TAO

We exist to support entrepreneurs building on #Bittensor. We help them through partnerships, market access, & capacity-building that turns a good idea into a sustainable business.We exist because $TAO could have even more social impact, & social impact is missing $TAO

Exploits enable evolution. From September 28-29, join me and the team in Montreal for @Exploitsummit. A Bittensor conference focused on accelerating open source intelligence.

What if drug discovery worked more like evolution? Frontier labs scale by concentrating capital, compute, data + talent. @metanova_labs is testing another model: open competition, continuous selection pressure, and reward only measurable outcomes. @micaelabazo makes the case for Darwinian drug discovery and why competition may be a better way to scale scientific intelligence. Live on the Exploit stage: luma.com/exploitsummit26