Openτensor Foundaτion
@opentensor · joined 17 Jun 2021
Incentivizing intelligence
171 149Followers
1Following
2 738Posts total
492.9KViews on collected posts
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Procurando novos posts…
This first-person shooter was built from a single prompt, using 404-generated 3D assets.
On the latest Novelty Search, @404gen_ explains how SN17 is moving from Titan, its open image-to-3D model built with miners, toward 3D assets generated as code that AI agents can edit and ht
15.4K views · 138 likes
· 25 reposts · 11 replies
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Novelty Search :: SN17 404 :: Generative 3D & Agentic World Models https://t.co/CP4tGywkXs
9.7K views · 63 likes
· 5 reposts · 2 replies
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@opentensor I omitted some 🤦♂️ https://t.co/nDvuSbt3pA
194 views · 2 likes
· 0 reposts · 1 replies
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> last week in Bittensor
bittensor:native expanded beyond its native ecosystem, while subnets pushed further into real-world demand, commercial applications and new economic models.
Here are the biggest developments. 🧵 https://t.co/JA5hbLvXdK
1.4K views · 36 likes
· 7 reposts · 10 replies
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@opentensor @Hippius_cloud Sounds like a game changer for decentralized storage! Can't wait for the live session!
35 views · 1 likes
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@opentensor @Hippius_cloud Hippius is critical, core infastructure for Bittensor, which MUST be able to meet its own needs directly withOUT relying on Web2 intermediaries..
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@opentensor @Hippius_cloud bittensor:native 💎
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Novelty Search :: Subnet 75 :: @Hippius_cloud
Hippius is building decentralized cloud storage on Bittensor, turning distributed hardware into S3-compatible infrastructure.
Miners provide storage and serve data across the network, earning for the capacity and work they https://t
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· 19 reposts · 8 replies
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@opentensor How does this mitigate the validator cabal and shadyness that was the initial driver behind changing how validators work? Now seemingly reversing.
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Resources
> Release notes: https://t.co/ws4OIj6RgR
> Documentation: https://t.co/Q5wLg7qBxL
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· 0 reposts · 1 replies
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Root yield is no longer limited to TAO compounding. It can also grow through subnet emissions and changes in alpha prices.
Stakers can compare validator returns and move their stake toward the validators that perform best. More stake gives those validators more root yield to htt
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Root validators now curate subnet baskets and compete on their returns. Subnets compete for a share of those baskets, because that share determines how much root buy flow they receive.
Subnets outside a validator’s basket still face the same root sell pressure as before, but htt
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For root stakers, validator choice now matters more because each validator can build a different subnet basket. Your TAO stays on root, but your yield depends on the performance of the subnets in that basket.
When you claim, your share is converted to TAO and added to your https
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· 0 reposts · 2 replies
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With Root Reborn, each validator builds a subnet basket and sets the share of each subnet in it. The protocol sells the alpha into TAO, then immediately uses that TAO to buy the basket.
The larger a subnet’s share, the more buy flow it receives. https://t.co/Dea8JIEmGf
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· 5 reposts · 1 replies
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Before Root Reborn, the protocol paid root stakers by automatically selling alpha from every subnet into TAO. That TAO was then added to their stake.
It used the same process for every subnet, regardless of quality or performance. https://t.co/S27ZuYi9J0
2.4K views · 30 likes
· 3 reposts · 1 replies
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Introducing Root Reborn: a new market for optimizing TAO yield across Bittensor.
Validators compete to build the best-performing subnet baskets. Successful strategies can attract more stake, so more root yield goes toward the subnets that create the most value. https://t.co/0xKV
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· 122 reposts · 38 replies
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@opentensor Please @ all the accounts that have been wrong about this over the past few months.
Crazy. 😂
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6/ Summary
- TAO halving reduces emission rate by 50% at supply-based thresholds
- Timing depends on total issuance, not block numbers
- Recycling can delay halving events
- TAO emissions and Alpha pool injections halve; Alpha participant rewards remain constant
- Current daily
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· 14 reposts · 6 replies
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5/ TAO Emissions Distribution
Every subnet receives the same %-share of emissions as before. The only change is that all shares come from a smaller global issuance at each block.
The largest misconception is that the subnet participants (miners, validators, owners and stakers),
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· 17 reposts · 10 replies
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4/ Bittensor Flow-Based Emissions:
As of November 2025: Bittensor has transitioned to a flow-based model ("Tao Flow") for determining how TAO emissions are distributed across subnets. Emissions are now based on net TAO inflows due to staking activity, rather than token prices as
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· 6 reposts · 4 replies
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3/ Bitcoin (BTC) vs Bittensor (TAO) Tokenomics:
Bitcoin’s halving is triggered at fixed block heights, occurring roughly every four years based on block time.
Bittensor’s halving is triggered when circulating TAO crosses predefined supply thresholds, which also tend to occur on
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2/ TAO Halving:
The halving reduces the TAO block reward by 50%. Daily TAO emissions fall from ~7,200 TAO/day to ~3,600 TAO/day.
This is a monetary tightening event, following a similar pattern to Bitcoin’s halving.
https://t.co/EjfIbNzAyC
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· 7 reposts · 4 replies
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1/
The TAO Halving is approaching, Here’s what changes and what stays the same...
🧵 https://t.co/0pwLdZLeCD
87.4K views · 371 likes
· 97 reposts · 37 replies
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Em comparação com contas do mesmo porte
11 posts dos últimos 90 dias, ao lado da faixa de 100K–1M seguidores. alcança menos gente que os pares, mas os envolve muito mais.
Mediana de visualizações1 386esta conta5 983mediana para 100K–1M
Alcance, %0.81%esta conta1.49%mediana para 100K–1M
Engajamento, %1.16%esta conta0.93%mediana para 100K–1M
| Métrica | Esta conta | Mediana para 100K–1M | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 1 386 | 5 983 | 0.23× |
| Alcance (visualizações ÷ seguidores) | 0.81% | 1.49% | 0.54× |
| Taxa de engajamento | 1.16% | 0.93% | 1.25× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
2.7K4 Aug
2.6K
403
29.6K19 Aug
112
172
3521 Aug
1.4K23 Aug
24K24 Aug
194
93
9.7K27 Aug
15.4K28 Aug
14.7K30 Aug
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.70%4 Aug
0.57%
1.24%
0.55%19 Aug
0.89%
1.16%
2.86%21 Aug
4.04%23 Aug
0.84%24 Aug
1.55%
2.15%
0.75%27 Aug
1.16%28 Aug
1.32%30 Aug
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes71.8%2 818 in total
Reposts14.1%552 in total
Replies5.0%195 in total
Quotes3.7%146 in total
Bookmarks5.5%215 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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Frequently asked questions about @opentensor
How many followers does @opentensor have?
171 149 followers.
How many posts has @opentensor published?
2 738 posts.
How do posts by @opentensor perform?
Collected posts: 27. Views: 492 925. Likes: 2 818.