Pinned Tweet
Bittensor Subnets Portfolio
Targon — 17.7%
Score — 17.3%
Chutes — 13.7%
Affine — 9.2%
Ridges — 8.7%
Hippius — 6.5%
NOVA — 5.8%
Teutonic — 4.0%
Synth — 3.8%
lium — 2.8%
Bitcast — 2.3%
Vidaio — 2.1%
Handshake — 1.6%
Quantum Compute — 1.3%
Hone — 1.1%
RESI — 1.1%
ninja — 1.0%
Powersatch🛸 retweeted
We're starting to see Bittensor subnets make eTao changes:
I added them to the explainer s3.hippius.com/rufus/public/…
So, once you cut validator percentages, your investor's APYs crater.
Example: SN 36 drops from 150% APY to 8% APY.
taostats.io/yield?subnet=36
Western liberals imported the third world into France and other countries in the name of diversity and compassion. They ignored fundamental questions of assimilation and compatibility. They were told it would lead to this and they didn't listen.
I pray that France, a beautiful country of amazing people, will stop this madness before more of its landmarks burn.
And I hope Americans are paying attention. This is the future congressional Democrats seek for your country.
Powersatch🛸 retweeted
Actual listed as an NVIDIA Nemotron inference partner
Replying to @abheer
cross-linked in the official technical blog!
massive congrats to the homies: @Tom_A_Lynch @somewheresy @skooookum @jack15032
can’t wait to see this blog diffuse through the NVIDIA ecosystem over the next week⚡️
developer.nvidia.com/blog/nv…
Powersatch🛸 retweeted
Introducing DecisionModels @decisionmodels_
I've spent the last four weeks benchmarking decision models (I run JevBench).
Today I'm launching the place to actually use the best ones:
decisionmodels.io
➡️Top open models
➡️Up to 4x faster on our own REAX engine
➡️From $0.019 per 1M input tokens.
Expect more reveals soon, and read 👇
Powersatch🛸 retweeted
The guy who runs JevBench -- quoted by Satya in a presentation recently -- now runs a Jev subnet 92.
Think Chutes / GM / Engy -- but for Jev models.
4x faster (because JevBench Guy).
Cheaper because Bittensor.
Revenue Jev product is LIVE: decisionmodels.io/
Introducing DecisionModels @decisionmodels_
I've spent the last four weeks benchmarking decision models (I run JevBench).
Today I'm launching the place to actually use the best ones:
decisionmodels.io
➡️Top open models
➡️Up to 4x faster on our own REAX engine
➡️From $0.019 per 1M input tokens.
Expect more reveals soon, and read 👇
Powersatch🛸 retweeted
Bittensor subnet summer is really an autumn event. I've printed over 56 bittensor:native in subnets over the last week.
@say_gm_ breaking out +16.47% against TAO 📈
@engyai breaking out +6.13% against TAO 📈
@lium_io continues to climb and looks ready to eclipse the $30 level violently 📈
TAO continues to consolidate and is starting to feel like its in a pressure cooker 🤯
Powersatch🛸 retweeted
Replying to @Pop_Collapse
I don’t think TAO will go anywhere until it becomes quantum resistant. Until then it’s just a ticking time bomb.
Powersatch🛸 retweeted
Novelty Search :: Bittensor Subnet 10, Pareton :: The Inference Speedmaster xitter.cf/i/broadcasts/1nJOLQqYp…
Powersatch🛸 retweeted
Bittensor is already rolling out quantum-resistant wallets. The devs are cracked.
Powersatch🛸 retweeted
In 2015, Bitcoin was right there, in front of me.
I ran into it ten times. I never stopped. Like everyone else, I shrugged, and I let it go by.
The hard part was not understanding Bitcoin.
The hard part was stopping for it. Giving it an hour, a page, one real try. The people who got it were not smarter. They had tried.
Eleven years later, I feel the exact same thing about Bittensor. A network where artificial intelligence belongs to no one, where the rules are public, and whose currency is capped like bitcoin. All around me, the same "this is too complicated for me."
This time, I stopped for it. And I wrote the book that lets you do the same in a weekend.
I wrote it for people who know nothing about any of this. Every technical word explained once, in one sentence. A city, its districts, its craftsmen and its jury to understand the machine without a single diagram. And the risks as a whole part of the book, not a footnote.
It will not tell you what to buy. It predicts nothing. It gives you what you need to judge for yourself.
"The Bitcoin of AI" is out October 12 on Amazon, in English and in French.
If someone around you says "I don't get any of this," I wrote it for them.
In 2015, nobody handed me this book.
In 2026, I am handing it to you.
Powersatch🛸 retweeted
I sat down w/ @YumaGroup, a DCG subsidiary to chat the institutional side of $TAO & why they decided to enter the ecosystem:
Powersatch🛸 retweeted
Top 10 Bittensor Subnets by Number of Holders
Chutes | @chutes_ai
Targon | @TargonCompute
Lium | @lium_io
Score | @webuildscore
Beam | @b1m_ai
Ridges | @ridges_ai
IOTA | @IOTA_SN9
Affine | @affine_io
Teutonic
Gradients | @gradients_ai
Source: TaoMarketCap
Powersatch🛸 retweeted
Here's today's recap from Exploit Summit in Montreal.
OTF STAGE
• Jacob Steeves (@const_reborn) outlined Gamma tokens: a proposal for subnets to buy services from each other using part of their emissions.
• @WSquires and @macrocrux of @MacrocosmosAI announced the iota SDK and Liquid Compute platform for training AI across distributed machines.
• @micaelabazo of @metanova_labs reported that candidates from its Bittensor competitions had reached lab synthesis after further processing, and outlined plans for an ADME models competition.
• @0xcarro of @TargonCompute reported more than 27,000 confidential workloads deployed this year and a $12M run rate.
• @pbarbachowski of @DendriteHQ shared how miners break incentive mechanisms, and why the answer includes transparent scoring and ground truths miners cannot control.
• @pamanseau of @KubeTEEAI put verifiable attestation at the center of confidential AI: evidence customers can check before trusting someone else's infrastructure.
• Marcus Graichen (@mogmachine) of @taostats spoke about closing three subnets that weren't succeeding, and the human cost of those decisions.
• Brien Colwell (@xcolwell) of @URnetwork made the case for an open, global internet as access becomes more dependent on where you live.
• @0xcarro and @askyoav debated how fast Bittensor's protocol should change, weighing growth against the stability teams need to build. Moderated by @Nick_Hotz.
• @jon_durbin of @chutes_ai presented Parallax and reported an 8B model running at about 60 tokens per second on a phone's CPU, without a GPU or NPU.
RAO STAGE
• Bittensor 101 with @TAOTemplar and @mcjkula of @learnbittensor followed the path from a subnet's scoring rules to miner rewards, including what happens when miners find a shortcut.
• Jack Ai Leung (@haitzu) of @KhalaResearch brought the open-source discussion into robotics, arguing for open models and access to different hardware.
• Cameron Fairchild (@KibibyteMe) of @LatentHoldings explained how multisig can require approvals from multiple signers, reducing reliance on a single key.
• @shardiban of @oroagents showed how an 11-million-product catalog feeds fresh tasks and evaluation environments for shopping agents.
• @herelle_jean of @chronollm announced plans to move from a 3B to a 16B baseline in the coming week, while testing for future information leaking into historical prediction tasks.
• @sebyrubino challenged the familiar "faster and cheaper" pitch: start with the result your customer needs.
• @will_mizu and Tom Blears of @Bitcast_network announced Subnet Summer and TAPE as applications using its subnet infrastructure.
• @PKoellinger and @nashgambit of @DeSciClaims presented V1, which went live on September 27 after a month of mainnet testing, moving the project into live data production.
• @AndorranAi of @SwarmSubnet introduced Sentinel, autonomous drones designed to patrol solar sites and report on their security.
• @gavinzaentz of @LeadpoetAI showed miners competing to improve sales agents, with each round strengthening a shared baseline for others to build on.
• @bobwold explained @EnigmaSN63’s challenge model: rewards build until a problem is solved, and winning solutions are published for others to use.
• @sebyrubino and @josercaldera, moderated by @capradavis, debated token and equity: how much work belongs inside a company and how much miners and validators can take on.
• Philippe Beaudoin (@PhilBeaudoin) explored how records of human and AI interactions could help us understand what makes groups cooperate and stay stable.
We're back tomorrow from 9 AM for coffee and networking. Sessions on both stages begin at 10:30 AM, with Pitchtensor on OTF at 3 PM. All times are Montreal local time.
September 29 agenda: exploitsummit.com/agenda/
🤖 Made with AI
Powersatch🛸 retweeted
Our latest research paper explores the growing connection between AI and digital assets and explains why broad AI adoption may drive new demand, utility and applications across the digital asset economy. blackrock.com/us/individual/…
Powersatch🛸 retweeted
Subnet 46's Coingecko listing has been updated ✅
Never miss a movement. Set your widgets accordingly!
Powersatch🛸 retweeted
Today, we're releasing the first SubConnect Bittensor Revenue Index.
Over the past months, we've been researching one of the most important, yet surprisingly difficult questions to answer within Bittensor:
Which $TAO subnets are actually generating revenue? How much and are they doing revenue generated Alpha buys?
The results show an ecosystem that is further into commercialization than many realize.
Bittensor's first chapter was about proving decentralized competition could produce valuable intelligence. The next chapter is about turning that intelligence into products customers are willing to pay for. And as more of that external revenue flows back into Alpha, the economics of the network begin to change with it.
From emissions to revenue, the transition has begun.
↓ The SubConnect Bittensor Revenue Index: Volume I
Powersatch🛸 retweeted
Vanta, Subnet 8
Powered by Bittensor
We'll be starting buybacks to our new wallet today. Buybacks will occur every 6 hours.
We'll continue increasing deposits next week. All our revenue will go back to the network, be used to purchase funding for our traders and be burnt.
Imgs for proof of rev 😄
taostats.io/account/5CXSLbyK…
$TAO




































