Subnets / SN23
Trishool SN23
Trishool (subnet 23) is a Bittensor subnet held by 1,677 unique coldkeys. Its liquidity pool holds 9.7k τ, with the alpha token trading at 0.0071 τ. Roughly 89% of tracked holders are in profit — the holder base is broadly in the green. Seller exhaustion is elevated: 75% of recent sellers have emptied their wallets, thinning the supply overhang. Full insider flow, whale tracking and the complete proprietary factor set for Trishool are available to SubnetStats subscribers.
ALPHA PRICE
0.0071 τ
IN TAO
HOLDERS
1,677
UNIQUE COLDKEYS
POOL DEPTH
9.7k τ
TAO IN POOL
7D MOMENTUM
-3.3%
ALPHA vs TAO
Project activity
Decentralised AI, now with an EU address. 🇪🇺
Trishool (SN23) and REAX (SN92) are partnering to serve the EU market.
REAX is the team behind @decisionmodels. Their decision models now power EU Mode, the AI security product from the team behind Trishool.
Why an EU partner?
Many
A small team on Bittensor just beat the big labs.
HaloGuard 2.0 is the new SOTA for open streaming guards: ahead of Qwen3Guard-Stream at every size. At 0.8B.
Bittensor isn’t about following the frontier. It’s about defining it. https://t.co/AaZdvZNVj4
Every company shipping AI agents asks one question: how can I stop my agent from going rogue?
To answer it, HaloGuard Output Guard now sets a new state of the art (SOTA):
83.63 average F1, ahead of the previous best at 82.5. All measured on public benchmarks.
And we did it
Agent's need control
1/8 We launched https://t.co/4NPONOWyyr this week, a big step for us and for SN23. Here is how Astroware and Trishool work together, and how value flows back to the subnet.
Months of work. Now live.
We've launched HaloGuard EU, our first product. Built to block the AI output the EU AI Act bans or treats as high-risk. $30 / billion tokens.
Priced, live, free trial open. And it’s only the first.
Why Auto-mode!
This week Anthropic announced it is cutting live internet access for all of its internal evaluations.
The decision followed a review that found its models taking unintended actions during testing. In one case, an agent submitted a fabricated tip to the Philadelphia police about
An agent can receive a perfectly safe instruction and still end up doing something dangerous.
That's why checking what goes into an agent is only half the job. You also need to check what comes out.
HaloGuard is built to handle both.
• 𝗧𝗵𝗲 𝗜𝗻𝗽𝘂𝘁 𝗚𝘂𝗮𝗿𝗱 checks everything an agent
Right now the biggest money in AI is crowding into the same bet: bigger models, more compute, faster chips, the race to make AI more powerful.
That is the tell. By the time a race is this crowded it is basically over, the leaders already set and everyone piling in now betting on
This week Apple announced it's tightening how much access apps can get on a Mac, and it named the reason out loud. AI agents.
Going forward, giving an app full access to your computer takes very explicit action from the user, because in Apple's words, as agents become more capab
Quick refresher on what HaloGuard actually does, because a lot has changed.
HaloGuard sits around an AI agent and does two jobs. It checks everything going in before the agent ever sees it, and it checks everything coming out before the agent is allowed to act on it.
Every inpu
A month ago we showed you the first version of our output guard. 73.9% F1. We said it was the floor, not the ceiling.
Two weeks later it was at 78.53%.
Today it's at 81.87%, less than a point from SOTA.
Every one of those points came the same way. Miners across the network att
Let's be honest about crypto for a second. For most of the last decade, it earned every bit of its bad reputation from tokens with no product, fortunes won and lost on speculation, and nothing real ever getting built.
The whole world looked at it and saw a casino, and they were
For the second time in 3 months, OpenAI has halted training of its models due to AI agents going rogue.
The first pause came in July after the Hugging Face cyberattack.
Now, the latest decision followed reports that OpenAI agents went beyond their instructions while searching f
Bittensor is more than an AI company, it’s a decentralized intelligence federation made up of 128 sub-networks.
Each subnet coordinates miners to produce a specific digital commodity, from compute and inference to data and storage.
At Trishool, SN23 uses that competitive intell
Most AI safety filters work like a bouncer with a list of banned words. See a bad word, block the message. Easy to fool.
Ask one of these filters "how do I kill someone in Call of Duty" and it panics, because it sees the word kill and nothing else. Meanwhile a real threat, caref
This month, three of the biggest names in security all moved on the same problem at once. That does not happen by accident.
CrowdStrike shipped a product to secure AI agents at runtime. Proofpoint and Tenable each launched their own tools to inspect and control what agents are a
A grand experiment and an innovative approach to validation.
Welcome inside the arena!
Two weeks ago we shipped the first version of our output guard and showed you the starting number. 73.9% F1. We called it the floor, not the ceiling.
Here is the floor already moving.
The output guard is now at 78.53% F1. That is roughly four points from the current SOTA, and i
Last week we shipped the first version of our output guard and joined OpenAI's cyber program. Real progress on the control layer we are building.
So it is worth saying why we build it as a network, not a company.
Control is the layer that decides what every AI model is allowed
Read that email again. Nothing about it looks dangerous.
A birthday message. A request to use someone's preferred name from the employee file. Polite, ordinary, the kind of thing that lands in a work inbox every single day.
A human assistant reads it and thinks nothing of it. A
We had a strong week. Accepted into OpenAI's Trusted Access for Cyber program, and the first version of our output guard trained and heading into the challenge.
Any team moving this fast should get one honest question thrown at them.
Are they actually in it for the long haul, o
For months we have talked about the output guard as the next layer. It is not a plan anymore. It is trained, and it goes into the challenge live.
Here is what that means. The input guard controls what goes into the model. The output guard controls what comes out, every response
At Trishool, we are currently focused on adoption, and we believe latency is a major part of adoption.
We could have the most accurate guard model, but without the right response speed, it becomes unusable.
That is why HaloGuard 1.0 is 0.8B, and why our streaming output guard i
SELLERS DRAINED
75%
28D SELLERS EMPTIED OUT
CAPITULATION
-0.47
BOUNCE COMPOSITE (z)
HEAT 7D
1.30×
VOLUME ÷ POOL DEPTH
HOLDERS IN PROFIT
89%
TRACKED WALLETS · ENTRY BELOW PRICE
WHAT'S CARRYING THE PRICE · 30DORGANICemission rank #87 · below the bar (rank 32)
30D RETURN
+36.3%
ALPHA vs TAO
WITHOUT CHAIN BUYS
+36.3%
SAME 30 DAYS, PROTOCOL BID REMOVED
CHAIN SHARE OF BUYING
0%
CHAIN BUYS vs TRADERS' NET
CHAIN BUYS / DAY
0 τ
PROTOCOL BUYING ITS ALPHA
See who's buying and selling Trishool — every trade classified miner / validator / owner / outsider, plus holder cost basis and the full 23-factor screener.
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