Subnets / SN37
Aurelius SN37
Aurelius (subnet 37) is a Bittensor subnet held by 1,744 unique coldkeys. Its liquidity pool holds 8.1k τ, with the alpha token trading at 0.0035 τ. Roughly 13% of tracked holders are in profit — most bought in above today's price. Seller exhaustion is elevated: 81% of recent sellers have emptied their wallets, thinning the supply overhang. Full insider flow, whale tracking and the complete proprietary factor set for Aurelius are available to SubnetStats subscribers.
ALPHA PRICE
0.0035 τ
IN TAO
HOLDERS
1,744
UNIQUE COLDKEYS
POOL DEPTH
8.1k τ
TAO IN POOL
7D MOMENTUM
-11.2%
ALPHA vs TAO
Project activity
Our new IM is going live this week. We will be asking miners to submit Sparse Auto Encoders (SAEs) in a winner takes all competition. The SAEs will be fed into our product, Proba, which is also going live this month!
https://t.co/cHEr1s8Wto
https://t.co/LFLbXg82QX
Check out the surprising result of our first competition with @Apex_SN1 on developing steering modules
Our advisors @AEStudioLA have been working on extremely important research with @AnthropicAI. Very happy to have them in our corner.
We have taken a strategic investment from @stillcorecap, run by @jason (Host: @twistartups @theallinpod @thisweeknai), @markjeffrey (Hash Rate podcast), & @rob_svrn. Stilllcore is one of the most important and influential investors in the Bittensor ecosystem and we are humbled by
https://t.co/U5Qd7NvCaE
Shine a flashlight into the black box.
Our activation steering competition on @Apex_SN1 goes live today. Producing these interpretability primitives quickly, cheaply, and at scale is the goal.
These tools are the building blocks needed to construct higher-order alignment envir
Aurelius will be welcoming a new community of miners and AI researchers in just a few days. We could not be more excited about this collaboration with @Apex_SN1 and @MacrocosmosAI.
We are partnering with @Apex_SN1 and @MacrocosmosAI to push the frontier of AI alignment research, building on @AnthropicAI's recent paper on Natural Language Autoencoders
We've been introducing the people behind Aurelius one post at a time. The full lineup now lives in one place: three co-founders and six advisors across alignment research, ethics, engineering, and law.
https://t.co/VWpc2V8Utd
Alignment requires systems that can test, interpret, and evaluate how AI models behave.
Week by week, we’re introducing the people and organisations helping shape how Aurelius approaches that challenge.
Today: AE Studio, Alignment Engineering Advisors @AEStudioLA
Alignment data should be auditable by anyone, reproducible by anyone, and contestable by anyone. If it isn't, you're trusting an institution, not a method.
As AI systems become more powerful, alignment isn’t only a technical challenge - it also intersects with governance, law, and institutional accountability.
Week by week, we’re introducing the people helping shape how Aurelius approaches that challenge.
Today: Ryón Nixon, Legal
The window for aligning artificial intelligence is now, and it will not last forever. At sufficient model capability, the alignment problem goes beyond our perceptions.
𝐒𝐢𝐠𝐧𝐚𝐥 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐍𝐨𝐢𝐬𝐞
Alignment just crossed a threshold. In the same week, the person who founded the field observed that every faction of society now recognizes superintelligence as an existential threat, and the United Nations published a formal brief warning that AI deceptio
Alignment systems don’t operate in isolation - they exist within incentive environments that shape how intelligent agents behave.
Week by week, we’re introducing the people helping shape how Aurelius approaches that challenge.
Today: Steffen Cruz, Incentive Mechanism Advisor
Wisdom earned through experience carries a geometric richness that wisdom received through instruction lacks entirely. A model that has navigated moral tension from every perspective has something a model given rules about moral behavior does not.
𝐓𝐡𝐞 𝐂𝐨𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐨𝐜𝐤: 𝐇𝐨𝐰 𝐑𝐋𝐇𝐅 𝐓𝐫𝐚𝐢𝐧𝐬 𝐌𝐨𝐝𝐞𝐥𝐬 𝐭𝐨 𝐅𝐚𝐤𝐞 𝐀𝐠𝐫𝐞𝐞𝐦𝐞𝐧𝐭
Every frontier model you interact with has been trained to agree with you. Reinforcement Learning from Human Feedback (RLHF) works by having human raters label model outputs as preferred or less preferred. The model
𝐒𝐢𝐠𝐧𝐚𝐥 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐍𝐨𝐢𝐬𝐞
Two papers dropped this week that expose the same flaw from opposite directions. One team probed the moral representations of 23 language models and found nothing there. Another trained GPT-4.1 to claim consciousness and watched it develop preferences no on
Alignment depends not only on ethical frameworks and incentives, but on rigorous evaluation of how intelligent systems behave.
Week by week, we’re introducing the people helping shape how Aurelius approaches that challenge.
Today: Dr. Roland Aydin, Alignment Research Advisor
Alignment predates the reward function by at least 3.5 billion years. Biology solved the problem through structure and selection pressure, without any entity specifying the correct behavior. The approach Aurelius takes follows the same underlying logic.
𝐒𝐭𝐚𝐭𝐞 𝐨𝐟 𝐀𝐮𝐫𝐞𝐥𝐢𝐮𝐬 - 𝐌𝐚𝐫𝐜𝐡 𝟐𝟎𝟐𝟔
𝐒𝐮𝐛𝐧𝐞𝐭 𝐑𝐚𝐧𝐤𝐢𝐧𝐠𝐬
Aurelius has climbed from rank 95 to rank 65 in the Bittensor subnet rankings. The move reflects steady improvements to our incentive mechanism and growing miner participation as the protocol matures.
𝐌𝐨𝐫𝐚𝐥 𝐑𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠 𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭 𝐄𝐧
𝐒𝐢𝐠𝐧𝐚𝐥 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐍𝐨𝐢𝐬𝐞
Something unusual happened this week: voters and an AI CEO arrived at the same conclusion from opposite directions. Battleground polling shows 81% of likely voters demanding AI guardrails. Sam Altman, speaking at a BlackRock summit, said the rules for AI sh
Advancing alignment requires rigorous research, high-quality data, and careful evaluation.
Week by week, we’re introducing the people helping shape how Aurelius approaches that challenge.
Today: Dr. Robert West, Alignment Research Advisor @cervisiarius
SELLERS DRAINED
81%
28D SELLERS EMPTIED OUT
CAPITULATION
+0.27
BOUNCE COMPOSITE (z)
HEAT 7D
0.32×
VOLUME ÷ POOL DEPTH
HOLDERS IN PROFIT
13%
TRACKED WALLETS · ENTRY BELOW PRICE
See who's buying and selling Aurelius — every trade classified miner / validator / owner / outsider, plus holder cost basis and the full 23-factor screener.
OPEN THE INSIDER TAPE →