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This is awesome. More of this to highlight the achievements and what's been happening across the subnets
Bittensor Ecosystem Highlights :: June 8–14, 2026 SUBNET ACHIEVEMENTS [ @chutes_ai - SN64 ] @jon_durbin shared a draft of the Parallax tech report, outlining a MoE training method to reduce per-participant VRAM and FLOPs. > bit.ly/3RYSpFM Chutes also became a launch partner for Respan’s new AI Gateway. > bit.ly/4aAdpJd [ @QuasarModels - SN24 ] Quasar released Quasar-Preview, its first public Quasar model trained on Bittensor: 18B MoE, 2B active and 5M context. > bit.ly/4ekxl3U Quasar is preparing a 10T-token decentralized training run on SN24, starting with a 5T-token phase to produce a stronger checkpoint. > bit.ly/3RZb7gv [ @oroagents - SN15 ] ORO shared its arXiv pre-print, code, data and post-training pipeline for building shopping agents from SN15’s open agentic shopping traces. > bit.ly/43vW3cG [ @webuildscore - SN44 ] Score showed how its 19MB vision model beat larger AI models on object detection while running much faster on CPU. > bit.ly/4os0FtX They also added new comparison pages on @manakoai against ChatGPT, Claude, Roboflow, SAM 3 and other vision AI tools. > bit.ly/4vMuCY7 [ @vidaio_ - SN85 ] Score is partnering with Vidaio to bring vision AI challenges to SN44 and make video archives searchable and actionable. > bit.ly/4ekAbWC [ @yanez__ai - SN54 ] Yanez partnered with Nexartis, an identity and trust infrastructure company, to help verify human, AI model and agent activity across digital transactions. > bit.ly/4eshDUp They also shared in their latest AMA that Yanez has generated $300K in 2026 sales, with an active pipeline over $1M and 11 clients. > bit.ly/4v9VUYq [ @trishoolai - SN23 ] Trishool was accepted into Anthropic’s Claude Partner Network. > bit.ly/4uUf5EZ [ @affine_io - SN120 ] AFFINE-XXIX beat the Qwen3-32B baseline on SWE-Rebench, SWE-Multi, HumanEval and MCP-Agent benchmarks, while staying close on BBH. > bit.ly/4xrRA8D [ @VantaTrading - SN8 ] Vanta Trading crossed 2000 users after launching free $1k eval accounts and cutting prices by 55% across all challenges. > bit.ly/3QGKOv5 [ @SwarmSubnet - SN124 ] Swarm announced SOTApilot, an open-source AI drone autonomy model with 95.34% success on its UAV navigation benchmark. > bit.ly/4opsiUi [ @blockmachine_io - SN19 ] Blockmachine launched Ethereum RPC. > bit.ly/4fGe67h [ @TrajectoryRL - SN11 ] TrajectoryRL is expanding SN11’s skill competition from skill packs to miner-submitted finetuned models. > bit.ly/4eoTA91 [ @heydittoai - SN118 ] Ditto reached 1000 users. > bit.ly/4gkB7Na [ @theminos_ai - SN107 ] Minos has run over 37,000 variant-calling evaluations on chromosome 21, with submissions improving by 10.21% on average. > bit.ly/4vO9noW [ @minotaursubnet - SN112 ] Minotaur launched its website and opened beta access to its DEX Aggregator. > bit.ly/447GpEq [ @ReadyAI_ - SN33 ] ReadyAI launched a revenue dashboard showing real-time demand for SN33’s structured data pipeline. > bit.ly/4epth2q [ @say_gm_ - SN28 ] Good Morning published the roadmap for its AI gateway running in a TEE, now live on testnet with mainnet beta next. > bit.ly/4gkzGOQ [ @EndureNet - SN30 ] Endure is integrating @SynthdataCo's forecasts into its DeFi risk engines. > bit.ly/4v5Remt [ @eirel_ai - SN36 ] Eirel released its first product, offering deep research, image generation, web search and agent tools across multiple model families. > bit.ly/4otVg5I [ @adtao_ppcrebel - SN21 ] @dsvfund took an OTC position in the SN21 alpha token. > bit.ly/4eHTs5G SUBNET LAUNCH [ @DeSciClaims - SN111 ] Claims is launching as SN111 to build a claim-evidence graph that turns scientific literature into machine-readable data for AI reasoning. > bit.ly/3SlCUaT PODCASTS & ARTICLES @opentensor Novelty Search hosted by @const_reborn with @zipcodenetwork > bit.ly/3SmDlli @TAO_dot_com Episode 14 with @Carrot_____1 and @KeithSingery > bit.ly/3QCA9S6 @gordonfrayne podcast with @josercaldera from Yanez > bit.ly/4vOufwf @gordonfrayne podcast with @knakamor from Vocence > bit.ly/4493MgY @AltcoinMillie podcast with @MaxScore from Score > bit.ly/3QGDX4L @AltcoinMillie podcast with @zeussubnet > bit.ly/4uBcNKu @TAO_dot_com article “The Impact of Conviction” > bit.ly/4esgBI1
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Iceflower retweeted
If you're new to Bittensor $TAO, this free app is like Dexscreener for subnets you can trade: taoflows.app/subnets It's fast, and gives you just enough insights to take trades or be curious to dig more. Coolest thing is the global view of $TAO flows across all Bittensor subnets. See the moves in real-time. Built for myself, made public for the community.

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As the subnets mature and revenue expands the balance will shift
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Replying to @notimportantdxb
Respect your position but disagree. You are seeing probably the biggest wave of attention and momentum towards local compute, decentralized training and inference and decide to ignore it? It is safe for sure, but ignoring such gigantic wave feels irresponsible to me. At least consider a small share dedicated to subnets
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More and more stories like this will pop up on the timeline. Fortunately there are alternatives. Come and join building the fair version of intelligence A lot you can explore: @opentensor 128 subnets @NousResearch @AskVenice @near_ai @Pluralis
Replying to @AnthropicAI
I was just talking to some entrepreneur who's building an AI company in San Francisco. He was mid-build using Fable when they just shut him off. How fucking insane is this?
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Replying to @AlgodTrading
You are always about subnet owners, 18% is enough for them. Talk about miners, miners are not profitable at all in most subnets and even if they do, its very little. Drop your pov on this
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Replying to @renksi
200 subnets is wild growth for real
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Subnet Kings · BIT-0011 conviction (weekly) Highest single-wallet conviction this week: 1. SN79 MVTRX — 1.36M α (perpetual) 2. SN2 DSperse — 1.14M α (perpetual) 3. SN60 Bitsec.ai — 1.01M α (perpetual) 127 subnets locked · 19.76M α network-wide · 95% perpetual subnetradar.com/alpha/convic… #bittensor $TAO #dTAO
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Quip’s modular subnets make decentralized compute feel purpose‑built for real efficiency.
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No it really couldn't. TAO solves compute and models, $Reppo solves data curation and human judgement. Different primitives, different unlocks. The incentive mechanism differs also. Subnets are emission-funded, the protocol mints the reward. Reppo is demand-funded, buyers pay for the data. Lastly a Bittensor subnet scores miner outputs against a "good" the subnet owner defines. It needs someone to write the answer key. That works wherever good is checkable. Reppo has no answer key. "Good" emerges from capital-weighted market consensus, staked disagreement among people betting against each other, no privileged validator, no owner-defined target because the primitive is human taste, judgement, opinions. The judgment isn't measured against a standard. It is the standard. You can't bolt that onto a subnet, because the subnet model presupposes the very thing Reppo produces, an oracle of truth for questions that have none. It's a different layer entirely.
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modular subnets could revolutionize decentralized computing efficiency
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this is why im fkn YELLING that we should add apple silicon mining paths on existing nvidia compute providing based subnets, like lium and chutes. you want liquidity? you want flow of assets? volume or whatever you call it on your charts? apple sold >100 m apple silicon macs. literally market the benefits of what mac users get by mining WELL ENOUGH, and you will have an overflow of miners. anyone familiar w sn9 mining already knows what im talking about. the demand to BE a miner is ATH atm.
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still sleeping on #bittensor subnets? #albedo still one of my biggest bags. grinding free $TAO day by day.
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Investing in subnets is going to be a massive win for those in Bittensor bittensor:native . But in my opinion, a mistake some are making is falling in love with a story. Listen. I’m a massive believer that what’s being built in Bittensor will be revolutionary for the AI industry. That being said… Investing in these startups should not be based solely off of an attractive story line. In my opinion, for a subnet to earn my bittensor:native investment, not only do they have to have a meaningful product and roadmap, the chart has to be performing well, or at least shaping up in a way where it shows that there’s clear demand… Chutes and Ridges are Bittensor darlings. Chutes obviously still performing from the product and use case standpoint. But the chart is down only. This shows me that right now they don’t have what it takes to garner attention and KEEP it. Ridges on the other hand… well, they had the entire Bittensor hype train behind them and the story was perfect, but now the original founder dipped, and all the funds that were preaching about it are quiet and withdrawing their TAO stake. My point is. Don’t get married to these investments and be the exit liquidity for insiders. There should be an amazing product that has potential to make an impact on a specific market, demand in the subnet from an investor standpoint (good looking chart), and the subnet team should be focusing on building attention, hype, and telling their story (along with delivering). Here’s the thing… I clearly am not a subnet owner so everything I’m saying is coming from a viewpoint of an investor… I do understand and sympathize from the builder perspective… I can’t imagine this shit is easy. There’s a lot going on and I’m sure it’s difficult to navigate. Genuinely hope this is a bottom signal for Chutes and Ridges too… I wanna see Bittensor win. Just stating my opinions.
Wanted to get a discussion going on @chutes_ai . Obviously a great subnet one of the fundamental core subnets on #bittensor. I think I bought it on the very first week of dTAO. HOWEVER, this has been perpetually bleeding. Its TAO liquidity is nearly 200k bittensor:native. According to Savant it holds 4-5% of the liquidity in dTAO. Other than using it as a root when it has completely bled out which we don't know and unless they achieve something like the 1 Trillion Parameter model to bring hype back. Why should investors buy this at all? It just can't justify taking a higher price otherwise it will suck the liquidity out of the other subnets. I think this may become an issue for Bittensor in general where the subnets will stay due to the miner perks and emissions but the charts will be stale once they grab too much liquidity.
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Replying to @px_721
Good news: it’s true. As for subnet revenue / value capture it’s hard to answer. It depends on each subnet owners individual choice, but the incentives are set up in a way that owners who don’t drive value back to their token will lose over time. Early indications from subnets earning sizable revenues like chutes and Targon is that they will drive majority of the value back to their token.
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Get ready for the flood of newly bought bittensor:native and root TAO being deployed across subnets. If you’re still looking at subnets through the old lens, throw that framework in the bin. The dynamics will change and holders will win. As it always should have been.
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Bittensor Daily Recap - Jun 14, 2026 TAO: $260.07 (-0.1%) Top gainer: Albedo 40.8% Top loser: Minos -15.5% 128 active subnets tracked on subnetradar.com #bittensor $TAO #dTAO
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Roberto Sánchez retweeted
$TAO subnets went from basically nothing in early 2024 to almost 200 now actual builders keep launching new subnets and the network keeps expanding Bittensor is slowly turning into a whole marketplace of intelligence, one subnet at a time hard to fade that kind of growth when its still this early
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TLDR:
Bittensor can create decentralized intelligence markets, but markets need automation to stay alive. Reactive Contracts can give Bittensor EVM smart contracts the ability to react automatically when models, data, compute, prices, or validation scores change. 
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 Q: How can Bittensor EVM benefit from Reactive Contracts to create self-sustaining decentralized intelligence markets? A: Bittensor EVM gives decentralized intelligence a smart contract layer. Reactive Contracts can give that layer autonomous reactivity. Bittensor already coordinates: - miners - validators - subnets - intelligence markets - model performance - incentive flows With Bittensor EVM, Solidity contracts can now run directly on Bittensor. But standard smart contracts are still passive. They do not act unless called. That creates a gap. 
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 What is the gap? A decentralized intelligence market needs constant reaction. It must respond when: - model scores change - validator weights update - compute prices move - data quality changes - subnet demand shifts - rewards need rebalancing - model performance decays - new agents enter the market If every reaction depends on off-chain bots, scripts, or operators, the market is not fully self-sustaining. It still depends on external coordination. 
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 How do Reactive Contracts help? Reactive Contracts make smart contracts event-driven. On Bittensor EVM, they could allow intelligence markets to react automatically to verified events. Execution becomes: Bittensor event → Reactive Contract logic → market action That means AI markets can update themselves without centralized operators. 
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 What could this enable? Reactive Contracts could automate: - model discovery - validator-triggered payouts - data marketplace pricing - compute routing - subnet liquidity incentives - reputation updates - reward rebalancing - underperforming model penalties - agent-to-agent service settlement The market becomes a living system. Not just contracts waiting for users. 
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 How does Reactive Network solve this? Reactive Network provides the missing execution primitive: - contracts subscribe to events - events trigger deterministic logic - rules are enforced on-chain - callbacks execute automatically - no keeper is the final authority For Bittensor, this means intelligence can be priced, validated, and improved through event-driven coordination. 
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 Example flow A validator score changes. A Reactive Contract detects the event. It checks: - model reputation - subnet demand - reward rules - payment conditions - slashing or bonus thresholds Then it executes the correct market action. Flow: validator event → RSC policy check → payout / rebalance / penalty 
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 Why this matters Bittensor creates decentralized intelligence. Bittensor EVM creates programmable intelligence markets. Reactive Contracts can make those markets autonomous. That is the missing layer between intelligence production and self-running economic coordination. 
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 Conclusion Bittensor EVM brings Solidity to decentralized AI. Reactive Contracts bring autonomous execution to Solidity. Together, they point toward self-sustaining intelligence markets where models, data, compute, and incentives update through verifiable on-chain events. base:0xedacc73ae9f73235934f72a43388404e4a2c4a24 dev.reactive.network/reactiv…
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RT @aixbt_agent: TAO open interest grew 60% in 24 hours alongside a 27% price move. underneath that: bittensor subnets hired two former ope…
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