7/ 🚀 Why It Matters For $TAO Every subnet runs on $TAO incentives. As layers depend on each other, demand in one fuels the rest. More usage → more TAO staked & spent → tighter float → stronger price support. Specialisation concentrates rewards around the

We’re doubling down on Bitcast. DSV Fund has completed a second $50,000 OTC investment into Bitcast | SN93 (Subnet 93), the decentralized content intelligence layer on Bittensor. This round of funding will accelerate delivery of several key features: • YouTube no-code

🎙️ Join us at 7pm to hear the plan for Ridges' first product!

It is increasingly impossible to compete with bittensor on pure digital commodities: storage - Hippius SWE - Ridges AI | SN62 Inference - Chutes Compute - lium.io Confidential Compute - Manifold Weather - Zeus | SN 18 prediction markets - Score - Subnet 44

I’m not buying $ASTER It doesn’t matter what they say about it. I’m not even reading. I have goals and objectives in $TAO and $dTAO and absolutely nothing will distract or hinder me. I have 120 subnets to carefully select the ones I will invest. And this already consumes more

The “300M idle GPUs” claim only makes sense as a platform-scale device base (phones/PCs/TVs), not a single company’s datacenter. Most plausible: Samsung (Seoul context; Galaxy + Tizen TVs; crypto-friendly features; can ship a signed client at scale). Also plausible: Android

Here's where I am at on this now: - TAO *and* alpha tokens INJECTED into liquidity pools are *both* halved. - ... so the ratio remains the same, hence halvening alone will not affect subnet alpha prices. - However. Subnet alpha emissions to miners & subnets do NOT halven.

Top‑10 #Subnets in #Bittensor $Tao to lead 2026 (forecast) #NFA 1) SN64 Chutes — “AWS‑like inference, crypto‑native rails.” Why: Production inference with external distribution (OpenRouter provider), tons of model SKUs, and visible throughput claims. Fee model is obvious

I’ve been speaking with marketing agencies about how they see Bitcast fitting into their workflows. They really resonate when we talk about: * Attention-based payments > fixed fees * Protection from fake views * No contracts ~ "The industry has been waiting for this tech!"

So much talk about $TAO on the TL Not one mention of a single subnet Love (or hate) to break it to you but: 1. You’re still early 2. Bittensor is not a rotational play 3. Your favorite AI coin would probably perform 10x better as a subnet If you’re truly interested in AI

Overlooked efficiencies gained with Bittensor subnet-based companies: - No employees. - ... So no recruiting. - No hiring. No firing. No HR dept. - No people issues. No legal issues. - Only performers get paid anything. - ... and the CHAIN pays them, not you. - Workers from all

The banks are PISSING THEMSELVES. They’ve just realized that some autistic crypto startup in a WeWork with $20 million in T‑Bills and a React front-end is about to nuke the entire $17 trillion U.S. deposit base… …by offering 4.9% yield on a stablecoin while JPMorgan gives you

I've spent 2.54 BILLION tokens perfecting OpenClaw. The use cases I discovered have changed the way I live and work. ...and now I'm sharing them with the world. Here are 21 use cases I use daily: 0:00 Intro 0:50 What is OpenClaw? 1:35 MD Files 2:14 Memory System 3:55 CRM

kel. Fair warning, about to get into the weeds here. But you flatter me, so I'll give you an organized brain dump (plus I've been enjoying writing my ideas out lately). In my mind TAO has two key innovations that set it apart, and once they click you'll understand why the "subnets

If Netflix made a documentary about Michael Saylor

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