
By: Victor
A week of serious technical milestones across Bittensor: a 100B pretraining run hitting 65% of data-center efficiency, a quantum subnet breaking RSA-340 just hours after launch, and revenue numbers from Chutes that are hard to wave away.
Here’s the full rundown.
Subnet updates
Macrocosmos (SN9) had the biggest news. The team launched the first stage of Project Orion and unveiled an early pretraining run of Orion 100B, which reaches over 65% of data-center training efficiency, a critical threshold for arguing decentralized training is economically competitive (source). On top of that, Const successfully orchestrated a decentralized training run on IOTA in 5 minutes for 5 TAO, a striking demonstration of how cheap and fast the stack is becoming (source).
Targon (SN4) announced Targon Tower Pro, opening up direct purchase of high-performance computing hardware (source).
Score (SN44) announced that TaoWeave has invested in Manako AI and partnered with them on North American commercialization (source).
Leadpoet (SN71) shared that it has begun paid pilots with a large publicly listed enterprise software company and an AI compute infrastructure platform (source).
Zipcode (SN46) launched its new website (source).
Chutes (SN64) disclosed that the platform currently earns around $280K for every trillion tokens that move through it, a rare hard revenue datapoint from a Bittensor subnet (source). Chutes is also now a provider on AntSeed AI (source).
Chutes (SN64) × Desearch (SN22): Chutes Search is now powered by Desearch AI (source).
Quasar (SN24): SN3 is now training Quasar models, starting with a 10B model built on the new Quasar architecture (source).
Beam (SN105) demonstrated it can transfer 10 GB from R2 to internet to R2 in 21 seconds on a distributed network (source).
Oro (SN15) announced the next stage of its subnet: an automated post-training pipeline aimed at building the best product for AI shopping (source).
Green Compute (SN110) disclosed that in its first month on Bittensor it generated over £82,000 in revenue, which it’s using for $8,200 in token buybacks (source).
qBitTensor Labs (SN63): just 14 hours after launch, its miners produced a generalized solution for breaking RSA-340 (source).
Inference Labs (SN2) shared Sertn’s Model Art, a tool that visualizes what needs to be done to improve a model (source).
Trishool (SN23) was accepted into the Google for Startups Web3 Program (source).
Vocence (SN78) shipped new features, including a Noise Remover (source).
Almanac (SN41) shared a roadmap update and said it will soon introduce a second incentive mechanism within the subnet (source).
New subnets
Endure (SN30): a new “decentralized risk intelligence network” on Bittensor (source).
Ecosystem moves
Proof of Talk took place in Paris this week, with a full section of the conference dedicated to Bittensor and its subnets (source).
TAO.com: the Tao.com wallet is now available on Android (source).
Mentat Minds released its new Sum of Mining Subnets (SoMS) index, composed of productive mining subnets that don’t burn 100% of their emissions (source).
Taostats now lets users check the full table of which subnets have conviction, a useful follow-up to last week’s mainnet launch of the locked-stake mechanism (source).
Podcasts and reading
- TAO.com Episode 13 with Carrot and Keith Singery (source)
- Macrocosmos interview with its AI Research Lead, Dr. Alan Aboudib (source)
Takeaway
Macrocosmos clearing 65% of data-center efficiency on Orion 100B, paired with Const orchestrating a full decentralized run for 5 TAO in 5 minutes, pushes decentralized training out of the proof-of-concept frame and into something that needs to be argued against on economics, not feasibility.
qBitTensor breaking RSA-340 hours after launch is a similar signal on the quantum side. And the revenue picture is sharpening fast: Chutes at ~$280K per trillion tokens, Green Compute at £82K in month one with active buybacks, Leadpoet running paid enterprise pilots. The ecosystem is increasingly showing results.
On to next week.
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