Bittensor’s first crowdfunding platform. Discover new teams. Pledge TAO. And get liftoff 🚀 Open for all: TG @ https://xitter.cf/t.co/16ayiZ35IL From @macrozack 🫶
Joined September 2025
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Carbon wins Pitchtensor. 🏆
500 TAO raised in under 20 minutes.
Physics AI can turn days of simulation into seconds. @carbonphysicsai is building the tests that show engineers when they can trust the result.
Meet Carbon, headed for a Bittensor subnet ↓
updates.bitstarter.ai/carbon
The crowd has decided: Carbon wins Pitchtensor 2026.
Congratulations to @RyanBequette and @carbonphysicsai, pitching physics AI for engineering at Exploit Summit. Next stop: a Bittensor subnet, with @bitstarterAI.
Hosted by @macrozack, with judges @KeithSingery @MaxSebti @EvanMalanga @willobrien @macrocrux.
Keep watching live: stream.vidaio.io/?event=51cb…
We're working with @MacrocosmosAI to help teams test their incentive mechanisms with real miners on Apex before launching a subnet.
Listen to the full Space for how this could shorten the path to launch and what's next for Bitstarter.
How can you tell if an incentive mechanism will survive mainnet?
By launching it on @Apex_SN1 first.
Join @macrozack and @macrocrux at 5pm to discover how our upcoming teams will be accelerated on SN1.
📅 Today
🕐 5pm UK | Noon EST
📍 Live on X @MacrocosmosAI
bitstarter retweeted
Apex was built to hillclimb intelligence.
Our agent harness allows anyone to launch a live incentive mechanism in subnet 1 without writing a line of code. We've reduced the time to create competitions from weeks to minutes. Once live, Apex competitions are mined by a swarm of agents from around the world.
We've solved access to decentralized intelligence.
Now it's time to ask the big questions.
We're very excited to partner with @bitstarterAI as the home of many teams with big ideas.
Join us on Friday for a live community call and AMA.
Apex Accelerator: SN1 x Bitstarter
Great concept. But will it work on mainnet?
Now, our teams can find out - testing their incentive mechanism and getting results from miners on @Apex_SN1 - all before they launch.
Full reveal this Friday 16th with @macrocrux - coming soon⚡️
Check our Apex’s competition page to see what’s possible:
apex.macrocosmos.ai/builder
And join our telegram for questions in the meantime:
t.me/bitstarterai
Apex Accelerator: SN1 x Bitstarter
Great concept. But will it work on mainnet?
Now, our teams can find out - testing their incentive mechanism and getting results from miners on @Apex_SN1 - all before they launch.
Full reveal this Friday 16th with @macrocrux - coming soon⚡️
🤖 Made with AI
2,000+ TAO staked on Root through the Bitstarter validator.
That stake backs the teams building on Bittensor.
Thank you to everyone staking with us.
$TAO holders: join them, stake with the Bitstarter validator:
tao.app/validator/5HT9U1J85f…
bitstarter retweeted
Cascade’s model outperforms Toto 2.0 4M on TIME MASE and TIME CRPS:
- With just 15.4% as many training tokens
- Using only synthetic miner-generated data
- In only 58 days
Let’s break down what TIME MASE and CRPS are, and why they matter.
bitstarter retweeted
One week ago, I introduced @carbonphysicsai on stage @ExploitSummit - who we placed in SN116, now ranking as a top 5 subnet by price on Bittensor.
One year ago, I launched @bitstarterAI - promising building a community-backed incubator capable of powering teams to the top.
Nine launches later, we're finally getting there.
Thanks to everyone who pitched, pledged, and judged (whether on-stage or otherwise) - none of this would have happened without you.
🤖 Made with AI
bitstarter retweeted
Breakdown of @markjeffrey hashrate on @cascade_sn91
Aim: To tackle time series modelling.
LLMs have easily grown due to the abundance of data.
Time series data is limited due to having one path through history.
Cascade aim to build both the time series model and produce the synthetic data that it can be trained on.
- Examples of the effects on time series data include
- Trends / Seasonality / Main Reversion / Abrupt news.
- Cascade can become a universal prediction engine, due to a lot of similarities within the patterns that build up the model the same way different chords can make different songs (a nice comparison might I say by @macrozack )
- The competition is in favour of smaller companies since the playing field is the same due to the amounts of existing data.
- This model can mimic similar prediction subnets like 18, 50 but more as a general prediction.
- powered by @engyai
bittensor:native #bittensor
Hash Rate - Ep. 186: Cascade Prediction SN91
🧙 Guest: @tensorlink_dev @macrozack of @cascade_sn91
00:00 Introduction to Cascade Subnet 91
09:24 The grammar of 'universal prediction'
12:08 Data efficiency and advantages of small models
14:15 Proving models in the field and future applications
17:42 Deployment, API, and community engagement
19:45 Future plans, competitions, and use cases
22:54 Forecasting tools for the Bittensor ecosystem
28:16 Hosting models on SayGM
29:54 Chris Haymes' background
39:51 Integration with Hermes Agent
50:23 Impact of recent emission changes
56:46 Closing remarks and next steps in AI prediction
SN87 GitHub repo is now live ⚡️
See the subnet take shape on testnet 582 - first results already published ☑️
We said we'd work in public.
SN87 is live on Bittensor testnet, the code is open (MIT), and you can verify the chain proof yourself. Come build, mine, or break it.
provenonce.ai/sn87
Raised 500t on Tuesday. Running SN116 by Sunday.
Bitstarter, you chose Carbon @ExploitSummit - together, we got them from pledge to protocol within the week 🚀
bitstarter retweeted
I sat down with @willobrien at @ExploitSummit to hear more about @provenonce_ai and their plans to close the assurance gap in a world of agentic AI!
“Trust is the next bottleneck in physics AI.”
@carbonphysicsai won Pitchtensor 2026 on Tuesday.
If you missed it, here’s @RyanBequette on the problem their subnet will set out to solve, live at @exploitsummit ↓
“So trust is the next bottleneck here in physics AI.”
Fast predictions only matter if engineers can rely on them. At Pitchtensor, @RyanBequette explains the problem @carbonphysicsai is tackling: proving where a model works, under which conditions, and where its limits are.
bitstarter retweeted
What gets a Bittensor team into an incubator, and what happens after the yes?
@LindsMikeStone, Kelly Woodward of @CrucibleLabs and @capradavis join @macrozack of @bitstarterAI on the RAO stage to discuss how teams get selected and supported.
bitstarter retweeted
“Access, alpha, and assurance.”
@macrozack explains what @bitstarterAI aims to give new subnet founders: access to experienced builders, insights and hands-on contributions, and confidence that their idea can work. From Pitchtensor at Exploit Summit.
bitstarter retweeted
“You'll see them in real time getting pledges online and also in the audience.”
You decide who to back. @macrozack explains how Pitchtensor teams compete through @bitstarterAI, with a subnet slot and pledged TAO to get the winner building.
Pitchtensor 2026 ✅
Stoked to launch @carbonphysicsai as the next subnet on Bittensor
The crowd has decided: Carbon wins Pitchtensor 2026.
Congratulations to @RyanBequette and @carbonphysicsai, pitching physics AI for engineering at Exploit Summit. Next stop: a Bittensor subnet, with @bitstarterAI.
Hosted by @macrozack, with judges @KeithSingery @MaxSebti @EvanMalanga @willobrien @macrocrux.
Keep watching live: stream.vidaio.io/?event=51cb…
Carbon vs Fugal. Who will you back?
Pitchtensor head-to-head pledging is open @exploitsummit.
Read the pinned terms, choose the team you want to back and pledge through the official page:
app.bitstarter.ai/subnets/pi…
Pitchtensor is live on Main Stage.
Montreal, over to you.
Exploit Summit: Live from Montreal Day 2 xitter.cf/i/broadcasts/1NGaroOYp…
