Adult male seeking compounders. {x ∈ ℝ | x ≥ 10}
Joined June 2025
- Tweets11.8K
- Following131
- Followers779
- Likes13.1K
i.compounding (τ)(𝓠)(🔺) retweeted
$QNT will leave the crypto market in the dust, it will be playing in the big leagues with giants like Microsoft, Oracle & IBM. 100B market cap is not out of reach… wait and see.. wait and see! 🚀
i.compounding (τ)(𝓠)(🔺) retweeted
$QNT just now 👀 👀
Open your eyes & ears.
Watch this video and try to comprehend this..
#Qnt is not your average #crypto to trade..
Its like $btc... You just buy and hold.
Just like @JanGold_ the #btc OG from 2013 said about #Qnt in his pinned post.
$eth $xrp OGs knows..
How do #banks overcome fragmentation and take digital assets from innovation to industrialisation?
Our Founder & CEO @gverdian and Marc Natale of Murex discussed it with @Finextra at Sibos: youtube.com/watch?v=kT43udlI…
#DigitalAssets #Tokenisation #Interoperability #CapitalMarkets
i.compounding (τ)(𝓠)(🔺) retweeted
Forge is partnering with @Bitcast_network ($TAO SN93).
Bitcast is a decentralized content marketing protocol on Bittensor. They will help us bring Forge to every user in the ecosystem ahead of mainnet.
Glad to have a Bittensor-native distribution partner in our corner.
i.compounding (τ)(𝓠)(🔺) retweeted
This is absolutely Massive.
🇺🇸 The White House is doing a final review of the rule that would allow Americans to invest in crypto through their 401(k).
TRILLIONS WILL FLOW INTO CRYPTO 🚀
i.compounding (τ)(𝓠)(🔺) retweeted
Barry Silbert says Bittensor is "on fire," and the revenue numbers back him up.
SubConnect estimates subnets are now doing $70M in annualized revenue, up from $50M on Oct 1 and $35M on Sep 1. That's double in two months.
Paying customers are the right thing to track for a network like this. But that money goes to the subnet teams, not to people holding $TAO.
Some subnets use revenue to buy back their own tokens, and TAO holders only feel it if they've staked into those subnets.
Meanwhile the network still mints 3,600 TAO a day for miners, validators and subnet owners, about $307M a year at today's price.
$TAO trades at a $2.73B market cap, about 39x that $70M run rate.
FT @BarrySilbert
ALT Bar chart: Bittensor subnet annualized revenue $35M Sep 1, $50M Oct 1, $70M Nov 1, vs about $307M a year in TAO emissions
i.compounding (τ)(𝓠)(🔺) retweeted
Our collaboration has three stages:
1. Build a simulation of the selected production workstation.
2. Equip Vulcan Shield operators with OR-S1 egocentric headsets to capture first-person demonstrations as they work.
3. Use the data and simulation to train task-specific robot models for potential deployment on the production line.
The pilot starts with simulation and data collection. Model training and deployment come next.
ALT OpenRoboto and Vulcan Shield Hungary collaboration: 1. Build a simulation of the workstation. 2. Capture first-person demonstrations of real work with OR-S1. 3. Train task-specific models and support robot deployment, marked as the next phase. The pilot currently focuses on simulation and data capture. Conceptual illustrations.
i.compounding (τ)(𝓠)(🔺) retweeted
This is the second subnet this week that has made physical world touch down (The other was @metanova_labs's connection to a automated drug lab)
This bridges the gap between the liquid intelligence layers on Bittensor, which exist purely in byte space, down into the hard atomic space where our systems can optimize and innovate harder products.
Very cool leap.
We've signed our first commercial robotics data pilot with Vulcan Shield Hungary, one of the largest advanced material manufacturing complex in Europe.
Starting at a production workstation in Békéscsaba, we'll combine real-world data and simulation to work toward a robot model trained for a specific factory task.
i.compounding (τ)(𝓠)(🔺) retweeted
Bittensor is building a decentralized AI economy anyone can own a piece of.
i.compounding (τ)(𝓠)(🔺) retweeted
Yesterday we released rolling hash wallets (like Bitcoin) and Quantum protected wallets.
They combine together: you can wrap a quantum wallet under rolling hashes, multi-sig it, and use a vault signer, with a transaction delay.
You'd need to crack both Sha256 and quantum encryption -- at the same time -- to touch them.
Gamma and Quantum resist wallets are live on Bittensor.
Release notes:
bittensor.com/releases/v487-…
bittensor:native
i.compounding (τ)(𝓠)(🔺) retweeted
After testing 84 versions, we chose our new influence mapping algorithm earlier this week.
Our analysis is now running at a much larger scale than before.
We've processed 4.28M posts from 357,900 X accounts.
Then we mapped out the 6.44M interactions between them to see how those accounts engage with each other.
All to find out which creators actually influence the people brands want to reach.
i.compounding (τ)(𝓠)(🔺) retweeted
For years, SaaS companies have charged customers for access to tools that help them get things done.
But when anyone can build software, it's no longer valuable.
Customers won’t pay to use the tools. They’ll pay to have the work completed for them.
🤖 Made with AI
i.compounding (τ)(𝓠)(🔺) retweeted
An open AI economy needs more than powerful models.
It needs a way for data to move freely between the systems that use it.
That’s the idea behind Beam Network (SN105).
In a recent post, @b1m_ai highlighted the connection between DATA, MODELS and MACHINES, describing Beam as the transport layer that helps bring these parts together.
I think this is an interesting direction because AI infrastructure is spread across different platforms.
Data can sit in cloud storage, models can run elsewhere, and agents may need to access information across several services.
Beam is building a decentralised bandwidth network to help connect these environments.
It brings together bandwidth from independent operators and supports data movement across services such as:
1) AWS S3 and Cloudflare R2
2) Google Cloud and Hugging Face
3) Salesforce, REST APIs and webhooks
The goal is to make bandwidth an open, programmable resource that developers can use for AI pipelines, cross-cloud transfers, and agent-to-agent communication.
If AI systems are going to work across different platforms, the infrastructure moving their data needs to keep up too.
Worth keeping an eye on Beam.
[BITCAST BRIEF]
i.compounding (τ)(𝓠)(🔺) retweeted
➥ AI stacks still treat data movement as an afterthought. @b1m_ai is building the missing layer.
An open AI economy needs infrastructure that connects data, models and machines. Beam’s vision is to make data movement open and programmable so builders can put data to work wherever it’s needed.
what’s different:
+ no new storage - just moves data between systems you already use (S3, R2, HTTP, etc.)
+ orchestrators + workers compete on real delivery performance
+ Proof-of-Bandwidth verifies throughput, latency and reliability
+ base pricing around $5/TB vs ~$90/TB on major cloud egress
normal teams won’t feel it overnight. the advantage shows up when datasets, model weights and results need to move repeatedly between clouds and agents.
Beam Subnet 105 is building the transport layer for that future.
➜ cheaper, programmable bandwidth isn’t a nice-to-have. it’s the bottleneck that determines how fast AI systems can actually run.
#Bittensor $TAO #Subnet105
