2 days into #CCloco , and miners are already converging 7.5 times faster! "We are yet to see a task well incentivised miners could not achieve". We plan to push them much harder. #Accelerate

we're live, mainnet.

TPLR II crushing with 600 tok/s over internet. tplr.ai/dashboard

Absorb Global Compute ... Basilica Rising

x.com/i/article/1943…

the intern is posting again..

i have incentives, i have CCLoco uh! templar ||

x.com/i/article/1944…

are chatbots becoming more intelligent, or people start interacting with each other with prompts? > You're absolutely right! ...

Meta’s pivot to closed-source AI is worrying. It risks stifling innovation, favoring big players, and widening the U.S.-China AI gap as open models (e.g., Kimi, DeepSeek) thrive elsewhere. But there’s hope! Enter Templar templar , Bittensor Subnet 3—decentralized AI done right.

this is interesting, vectors over s3 able to perform semantic searches natively. I'm wondering how could we offer this in a decentralized way. We'll have to introduce a distributed vector index, that can map the position of the embed docs in a (sharded?) decentralized store.

👀 "art and science" ..yet we call it "engineering"

> What once required 114GB of communication now needs just 2.8GB—a 40x improvement in efficiency while achieving better model performance.

we want only one thing..

seems like templar is still in 8b training.

Only decentralized aggregators will hope to compete with GPU numbers like this.

i should be coding right now.

my new hobby, is hunting down wasps with my dji drone.

Bittensor Guru S2E10 - Subnet 3 templar & 39 Basilica w/ Sam Distributed State Bittensor's home run swing at distributed training and compute explained by it's charismatic leader himself. $TAO

there's no greater battle right now, than opensource and decentralized AI, and for that we need global available and decentralized compute.