Our CUDA-native genome generation stack can now generate a whole synthetic genome in just under 20 minutes on eight H200 GPUs from @lium_io .
That's roughly 440x faster than the traditional CPU-bound workflows.
This opens the door to population-scale synthetic genome generation for benchmarking, variant calling evaluation, and genomic AI.
This is decentralized training happening right now.
@const_reborn just orchestrated a 128-node permissionless run on @IOTA_SN9 in 5 minutes for only 5 TAO.
No central coordinator.
No approval process.
Just spin up a massive pipeline-parallel training job across heterogeneous nodes… instantly.
And they’re already capable of scaling this to 100B parameter models.
The live dashboard is wild to watch:
https://t.co/2I56tU3vJs
This is exactly what we’ve been waiting for turning the open internet’s idle compute into frontier-level training capacity at a fraction of the usual cost and friction.
Permissionless orchestration at this speed and scale is a game-changer for the entire Bittensor ecosystem.
Huge respect to Jacob and the Macrocosmos / IOTA (SN9) team for shipping something this real and this fast.
Happened just now:
✅ Phase 1: Prove Beam orchestration works
✅ Phase 2: Performance
⏳ Phase 3: Scalability
⏳ Phase 4: Open it to the world
We just completed Phase 2:
10 GB transferred from R2 → Internet → R2 in 21 seconds on a distributed network.
Phases 3 and 4 are coming fast.
Beam SN105 #Bittensor
@Watata100 god bless for the opportunity to add more at discount… few years from now you will be grateful you pressed buy even thought it felt uncomfortable
this is not the real pain
the timeline still bounces between depression on moves down and cheering on little bounces up
we need a price action that will leave people in tears, like real fear, real double digit moves down
i want aggressive drawdown, everyday news about hundreds of billions being purged from the market, insolvency, paused withdrawals, someone going belly up
something that will leave people speechless, not complaining about price action - just pure panic and then silence
we need to stress test the whole thing, the strong and healthy won't die anyways but we need a major cleansing... like 3-5 years of real pain would be amazing
when you don't see the light at the end of the tunnel this is where the fun begins
From Const this morning. Great news IMO. bittensor:native
"Hello @everyone in the Bittensor family.
Public service announcement: Starting next week we will be introducing an interim measure to block emissions on Bittensor subnets which are engaging in active foul play and or with no clear path to adding value into the Bittensor ecosystem.
This will need to be done on a case-by-case basis, however the criteria for blocked emissions will revolve around the following:
1) Long-term burning of 100% miner emissions with no plan from the team to bring them online.
2) Active self-mining i.e. subnets that do not have code and instead use stake weight to pass emissions to their own keys.
3) Dead or fully abandoned subnets, or those that have not announced themselves i.e. "unclaimed" subnets.
4) Subnets engaged in TaoFlow exploitation, such as 104, which have very little to no chain activity from the network at large. A chain operation to block emission will be available on Tuesday to carry this out. Note this not a long term solution, as further protocol upgrades such as conviction, shorting, and the eventual full decentralized governance system of Bittensor will be coming into play this year -- these methods will allow much more organic and swarm based intelligence to organize Bittensor's emission vector.
In the near term, I believe that there is broad support and consensus for this activity as it will drive more value towards subnets on Bittensor (you know who you are) that are pushing forward a decentralized vision for artificial intelligence.
Thank you everyone Much love
- Const"
Why The Innovation Game $TIG is extremely novel and promising.
This is genuinely new territory. No one has ever built a working market for open algorithms before.
It brilliantly fuses two proven ideas that never worked together at this layer:
- Linux-style open collaboration (readable code that anyone can build upon, leading to explosive cumulative progress).
- Bitcoin-style economic discovery (miners spend real money to “vote” with their hardware on what works best, creating an un-fakeable signal).
Add Prometheus for sharing expert intuition at AI scale, and you have a self-funding, decentralized engine for algorithmic breakthroughs.
Algorithms matter more than ever: Nvidia’s CEO and Elon Musk have both said recent AI gains came far more from smarter algorithms than from raw hardware speed — with potential 10–100× efficiency improvements still ahead. Today, big tech can hoard these gains.
TIG flips the script, turning the entire world’s compute and brains into an open, competitive laboratory.
We’re excited to share the Connito whitepaper V1: a framework for decentralized, composable MoE adaptation.
We trains sparse expert subsets, validates updates through Proof-of-Loss, and turns open-model improvement into a distributed expert-level market.
Read the whitepaper: https://t.co/KKkGVnMIRF
New Champion Affine-IV after a new week.
Significant improvements:
• TERMINAL: +12.3%
• MEMORY: +7.0%
• LIVEWEB: +3.1%
While all envs show no regression.
Four champions and each one stronger than the last.
Affine arena never closes and model evolution never stops.
When Minos went live, FreeBayes, one of the most popular genome analysis tools, quickly started outperforming the competition. At first it looked like it was simply better.
However, the network found it was overcalling by flooding genomic regions with excessive mutation calls to boost its score randomly, not accurately.
This exposed a real limitation. Widely used genomic tools had never been tested under adversarial pressure, as most rely on rule-based systems that break in unmeasured ways.
Minos is building infrastructure to stress-test these tools, expose their failures, and train the next generation of robust AI genomic models.