@Kylechasse@HenrikZeberg Henrik is a clown, his prediction for a blow off top was totally incorrect. Im glad he blocked me for suggesting him keeping politics out of his feed.
@WallStreetApes An American visiting a store to purchase alcohol was asked for identification. The buyer responded by accusing the merchant of racism. Got it!
Hey @elonmusk , it's probably best to just run a bittensor subnet to build AI for optimus. That way it's open (safer), and the best that the entire world can generate (a permissionless global competition to constantly improve it).
Also, relative to hiring a team to build it out, much cheaper on Bittensor.
Stillcore Capital @stillcorecap is proud to release our STATE OF TAO: January 2026 Report.
It is aimed primarily at people who know nothing about Bittensor.
It explains, in simple-speak, what Bittensor $TAO is and how it works, and then characterizes where the ecosystem is at today.
Hope you enjoy it!
Download PDF:
https://t.co/DSoFzVQyUL
Just got off a call with @herelle_jean from Crunch
I don't think people realize how significant this is for the Bittensor ecosystem
The Problem: Most ML engineers don’t want to navigate the complexities of crypto. The friction of managing keys and on-chain mechanics keeps the best minds away
The Solution: Crunch abstracts the entire crypto layer
They plug superior models from their network of 11k ML engineers directly into the $TAO ecosystem
The Result:
1) Crunch handles the rewards and repatriation for engineers
2) Engineers get paid to build without the crypto headache
3) Bittensor gets higher-quality models
4) Value accrues to the network
The next few years for Bittensor are going to be wild; Now's the time to pay attention
Institutional grade deployments are happening
🚨 Massive unlock for $TAO Bittensor nobody's talking about this yet
@crunchDAO just opened decentralized AI mining to 11,000 ML engineers and 1,200 PhDs across 100+ countries 👀
This isn't crypto natives recycling models.
This is real academic & enterprise talent finally entering the network.
Who is CrunchDAO?
Backed by:
- @galaxyhq (Novogratz's Galaxy Digital)
- @vaneck_us (VanEck, the ETF pioneers)
- @multicoincap (Multicoin, thesis-driven heavyweights)
Track record:
• 35,000+ models deployed
• Clients: ADIA Lab, Broad Institute (MIT/Harvard)
• Worked with 2021 Nobel Econ winner Guido Imbens
• +17% beat on ADIA causality benchmark
• +14% on Broad Institute CV benchmark
• 4% FX trading cost savings for major bank
What they're building on Bittensor:
A meta-modeling layer coordinators mine subnets while their community builds superior models.
They aggregate hundreds of independent ML contributions into ensemble models, more robust, diverse intelligence flowing into subnets.
Any subnet can spin up a Crunch modeling market that acts as a super-miner.
Let that sink in.
This is the inflection:
The biggest bottleneck in decentralized AI has been talent diversity.
Top researchers stayed out because of Web3 friction staking, validators, infra.
Crunch abstracts it all away.
Scientists just build models. Get paid in $TAO for performance.
New revenue stream for ML pros + massive intelligence injection into Bittensor.
Not recruiting existing miners onboarding entirely new participants from academia & enterprise.
This is the talent pipeline centralized labs can't match:
- Economic ownership
- Open experimentation
- Direct credit for real-world results
Full announcement:
https://t.co/eP4QKNatZh
Price chasers will miss it.
But 11k engineers, 1.2k PhDs, Nobel-level validation, MIT/Harvard ties all pouring specialized intelligence into $TAO subnets.
This is how decentralized AI pulls ahead.
@crunchDAO
$TAO
LTX-2 is LIVE on Chutes 🔥
@Lightricks 19B video generation model. Video + audio output in one.
→ Text-to-video
→ Image-to-video
→ Video-to-video (style transfer)
→ Keyframe interpolation
→ Camera LoRAs built-in
Try it now → https://t.co/VYiIKrXIrV