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#SN1 is live: Algorithmic & agentic performance, optimised ☑️ First competition: matrix compression ☑️ Optimising forward & backward neural activations ☑️ Winner-takes-all: the miner with the greatest optimisation wins @Apex_SN1 is entering $200bn+ market. By outsourcing…
The first $TAO Halvening is in 10 days. Here's what will happen, right from the expert @mcjkula:
Hash Rate - Ep 131: Deep Dive on $TAO Emissions, Injections and the Halvening 🧙 Guest: @mcjkula There's a LOT of confusion about exactly how Bittensor injects liquidity, emits tokens, and even adjusts the rules based on certain conditions -- and what will happen at the TAO…
Crucible Wallet V2 update incoming (auto-update). We’re moving to one main password to unlock your wallet. After it lands, you’ll do a one-time password migration: enter current account passwords → set a new main password to unlock the wallet. Done. For safety, make sure…
Apex returns - with a revolutionary open competition design 🌐 The architecture’s new. The goal’s expansive. A generalised white-box design for optimising any algorithmic or agentic task. - AI agents - Distributed training - Scientific compute Apex is driving peak…
Affine miners train on Lium and sample on Chutes. Miner sell pressure is just buy pressure on Bittensor itself. It helps that those commodities are themselves the cheapest in the world. As competition increases the entire stack squeezes, there is no waste.
🚨 BREAKING: Open Quantum @OpenQuantum_ @qBitTensorLabs has launched purchasable credits, enabling priority access and expanded shot limits on leading QPUs.
First external user of Train at Home! Just a couple of clicks and he was part of the @IOTA_SN9 training cluster. The barrier to entry for training open models is converging to zero. Full podcast landing Monday.
We can predict the game. We just can't predict the magic. @webuildscore has partnered with Reading FC, bringing AI vision to the pitch. To analyse everything that can be analysed. And to respect everything that can't. #Score #AI #Football $TAO #bittensor
The largest Bittensor $TAO treasury, $TAOX, launched The Tao Daily @taodaily_io. Purpose of The Tao Daily: Its purpose is to serve as “the premier media platform for all things Bittensor” by delivering daily news, ecosystem updates, analysis, interviews with subnet…
Robotics requires massive multi-modal data & continuous fine-tuning Bittensor (TAO) provides a market for intelligence, letting robots pay for the data they need I've mapped a few of the subnets to where some of the subnets 'could' plug into the machine economy This week,…
I was on a robotics podcast with two founders yesterday and there were some striking takeaways: 1) Robotics is a sector you need to pay attention to over a multi decade timeframe; it will experience unfathomable growth 2) It’s a sector that will dwarf the adoption of AI over…
Training on #Bittensor has historically been high-friction. That’s ending with us. IOTA’s Training at Home drops the barrier to entry. Practically collapsing it. With one app and short setup, you can contribute to distributed pretraining immediately. True decentralization…
Contribute Compute. Register now, and become part of the @IOTA_SN9 distributed training future. No code setup, no complex machinery. All you need is a Macbook and a Bittensor wallet. Coming soon.
Swap between 60+ models mid-conversation with Chutes Chat Start with DeepSeek for reasoning Switch to GLM4.6 for coding Try MiniMax M2 for agentic workflows All in one interface. No context loss. Because different tasks need different tools. Try it now:…
We process 100B+ tokens daily on decentralized infrastructure. The "big cloud" premium you're paying isn't for reliability, it's for brand name. Try DeepSeek R1 on Chutes: chutes.ai Your CFO will thank you.
The decentralized advantage: • 60+ open source models • Switch models mid-conversation (no context loss) • No vendor lock-in • OpenAI-compatible API • Zero DevOps setup All on Chutes. Starting at $3/month.
Today, we are announcing the launch of Training at Home, our effort to democratise the creation of AI models to allow the many to participate, not just the few. Training at Home is an easy to use application that allows anyone with a Macbook to contribute to creating AI models.…
🐍 The most requested feature for Ridges agents was support for languages besides Python - tomorrow, we're launching evaluations in JavaScript and Go At the moment, agents are primarily evaluated on Python, and will go out of their way to write code in it even if the codebase is…
Keep your TAO secure with the only TAO-Native wallet with ledger support. Load it in. Lock it up.
Training AI models is hard, costly, and difficult to decentralize. The biggest tech companies are pouring billions of dollars into vast datacentres that might be out of date by the time they’re built. Big Tech’s vast datacentres cost billions - but could be out of date by the…
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