Score x Vidaio.
Following our @ProofOfTalk presentation, @vidaio_ (SN85) is partnering with us to be one of the first teams to launch their own vision AI challenges on SN44.
The goal: bring advanced visual intelligence into VidaioOS, making video archives searchable, actionable and monetisable at an entirely new level.
Two subnets, one network effect.
More to come in the coming weeks.
We are very excited about this partnership with @webuildscore, which brings a new layer of visual intelligence and value to VidaioOS and our customers.
Watch this space for more updates in the coming weeks!
@chutes_ai Search is now powered by Desearch.
SN64 brings serverless AI compute and inference. SN22 brings decentralized search built for agents and humans.
Two Bittensor subnets, one better search experience.
#Bittensor#SN22#SN64#Desearch#Chutes#DecentralizedSearch
🔵 @TargonCompute just unveiled a high performance confidential home computer called the Targon Tower Pro
- Runs everything locally
- Data protected end to end
- Can passively earn when not in use
- Four unique Tower builds
- Eight GPU slots
- 512GB to 2TB of RAM
From start to finish.. everything is private 🔥
Great stuff @manifoldlabs 👏
$TAO
Qwen beats Opus 4.7 on all metrics.
From our miner data, Qwen flat out has higher detection rates no matter how you look at it. at 25% the cost.
It surprised us too. Building and running solid evals is the only way to reveal the truth.
Look beyond the marketing.
Chutes Search is now powered by @desearch_ai (SN22), the decentralized search layer for agents and humans.
In their first public benchmark, it beat the centralized providers on overall score and ranked best of all of them at finding relevant sources. So we swapped it in to power our search.
Two subnets, one better search experience.
This is the Bittensor flywheel shipping.
SN22 x SN64. Want to try it?
https://t.co/S2dK7rfhOU
@zelf_Dirk Ga er vanuit dat Aalbers meerdere lijstjes klaar heeft liggen voor diverse posities, dus dat hij snel kan schakelen bij een vertrek van Ouaissa.
Announcing Targon Tower Pro, and our mission to take back compute ownership.
High Performance At-Home Computing
→ The Targon Tower powers ultra-high performance at home computing, with enterprise grade security,
enabled by Nvidia confidential computing GPUs, and Intel TDX enabled CPUs.
Earn Passively With Idle Compute Downtime
→ Flip a switch to enable Earning Mode, to locally run and passively monetize your individual GPU Clusters
on Targon’s Confidential Network.
Available now: https://t.co/aRe0ljI6VP
🚨 $TAO’s Desearch SN22 is one of those updates most people will scroll past, but it matters.
Everyone is chasing chatbots.
Desearch is building the layer chatbots and agents cannot work without:
Fresh, reliable, live search.
They just shipped a validator scoring upgrade, PR #355, live May 29.
Sounds boring.
It is not.
The old scoring rewarded keyword overlap. Basically, if a page mentioned the topic enough, it could score well even if it never really answered the question.
That is the problem with most of the internet today.
SEO spam ranks because it has the right words, not the right evidence.
Desearch changed what gets rewarded.
Now miners score higher when their sources actually contain the evidence the user asked for.
Intent match over word match.
They also made scoring more consistent, stopped rewarding long markdown answers for no reason, and stopped punishing short answers when they are actually correct.
This is the part I think people miss.
In a normal search company, an engineer changes the model behind doors and everyone just hopes it gets better.
On Desearch, the reward function changes in public.
And once the validator rewards better evidence, thousands of miners are pushed to optimize for better evidence.
Change the reward, and the whole network re-optimizes.
The Bittensor difference.
Desearch is not just building another AI search tool.
It is building an open search infrastructure layer for agents.
Live web.
X.
Reddit.
TikTok.
Facebook.
Instagram.
Arxiv.
Forecasting.
API access.
SDKs.
MCP server.
99.997% uptime.
And it is already being used as the native search layer inside @heydittoai SN118 agents.
This is what agents need.
A chatbot without live retrieval is just guessing from stale memory.
Agents that research, buy, book, trade, analyze, and decide need fresh information they can trust.
That is the layer Desearch is going after.
The chatbot is the face.
Retrieval is the nervous system.
And SN22 is building it in the open.
@desearch_ai
built by datura
SN22
$TAO
DYOR