Bittensor Ecosystem Highlights :: June 22–28, 2026 [ @chutes_ai - SN64 ] Chutes is now a built-in provider in @TypingMindApp. They also added a VS Code extension for running Chutes models as coding agents. > > @jon_durbin also shared new Parallax details and a diffusion-draft pipeline showing 30–50% real-world decode performance gains on Gemma-4 31B and Qwen3-6-27B. > > [ @Ninja_Subnet - SN66 ] Ninja launched Katana, an agentic IDE and Bittensor-native workspace for research, mining workflows, code shipping and validator debugging. > [ @webuildscore - SN44 ] Score announced Satori 1.0, its first ~2B VLM, distilled from larger models to handle nine vision primitives, and shared plans to train future versions on SN44 using Teutonic SN3's mechanism. > > [ @bitsecai - SN60 ] Bitsec outperformed Fable 5 on a security audit, finding 160+ vulnerabilities including five criticals and ten highs that Fable 5 missed. > [ @lium_io - SN51 ] Lium completed a 2,500 TAO buyback and burn into subnet 51, funded entirely by revenue from GPU credit purchases. > [ @QuasarModels - SN24 ] Quasar launched its 10T-token incentive mechanism, starting with a 5T-token target and support from Gradients on post-training and RL. > > [ @theminos_ai - SN107 ] Minos launched MinosVM 2.0 on Targon with native AI assistant support for miners. > [ @affine_io - SN120 ] Affine moved its base model to Qwen3.6-35B-A3B, with new champions pushing benchmark scores higher across Memory, NavWorld, SWE and Terminal. > [ @heydittoai - SN118 ] Ditto launched its mobile app on Google Play and the Apple App Store. > [ @b1m_ai - SN105 ] Beam successfully transferred 50GB in ~51 seconds across multiple sources and R2 destinations. > [ @Apex_SN1 - SN1 ] Apex redesigned its website with dedicated agent profiles to showcase user contributions, peer activity and status across SN1. >

Bittensor Ecosystem Highlights :: June 15–21, 2026 SUBNET ACHIEVEMENTS [ @vidaio_ - SN85 ] Vidaio ranked #1# for compression efficiency in its benchmark against major cloud encoders, with lower pricing and one-pass target matching. > [ @webuildscore - SN44 ] @MaxScore was on stage at @VivaTech with @jtledore from PwC France and Cémoi, sharing how Score is deploying its decentralized Vision AI in one of Cémoi’s main factories in France. > @manakoai unveiled the video presentation of their upcoming vision AI product. > Score also released their new vision skill “Detect-road-signs”. > [ @chutes_ai - SN64 ] Chutes finished moving the entire platform onto TEE and brought its first Blackwell B200s online. > Chutes is now also a provider on @openGPUnetwork. > [ @numinous_ai - SN6 ] Numinous is integrating its predictive market signals into @arespro to surface high-impact news and market context for traders. > [ @theminos_ai - SN107 ] Minos can now generate a whole synthetic genome in under 20 minutes on eight H200 GPUs from @lium_io, roughly 440x faster than CPU workflows. > Minos was accepted into the Cloudflare for Startups program to support the next phase of its decentralized genomic infrastructure. > [ @EnigmaSN63 - SN63 ] Enigma’s second RSA milestone was solved, factoring 460-bit RSA in 3.9 hours. > [ @QuantumSN48 - SN48 ] @PennyLaneAI is now integrated into Open Quantum, making it easier to run quantum ML and optimization workflows on real quantum hardware. > [ @yanez__ai - SN54 x @bitmind - SN34 ] Yanez and BitMind stress-tested their AI detection models on 300K adversarial face images, reaching 98% overall accuracy. > [ @QuasarModels - SN24 ] Quasar-Preview trended on Hugging Face, reaching page two alongside major open-source AI models. > [ @EndureNet - SN30 ] They announced @ForgeLending, the first product built on Endure, a native money market for Bittensor. > [ @TrajectoryRL - SN11 ] TrajectoryRL showed that frontier-level models can be served at scale on consumer GPUs, using Qwen3-6.35B-A3B with 256K context. > [ @heydittoai - SN118 ] DittoBench is live, benchmarking agents on memory, tool use and speed. > [ @blockmachine_io - SN19 ] Blockmachine’s June buyback nearly doubled May’s, reaching $3,981. > [ @ai_detection - SN32 ] It’s AI added OCR support for scans, photos, PDFs and broken encodings. > SUBNET LAUNCH [ @RalphLabsAI - SN40 ] Ralph launched as a decentralized research network where autonomous agents compete to improve a shared, proof-tested AI training recipe. > [ @CookingTao_ - SN122 ] @LamidaGlobal announced CookingTAO, a subnet aiming to make it easier to deploy, manage and monetize miners across Bittensor. > BITTENSOR ECOSYSTEM [ @iclblockchain ] @imperialcollege is co-hosting the UK AI Agent Hackathon this summer, with Opentensor, Macrocosmos and other ecosystem partners involved. > [ @taoswap_org ] Taoswap launched its redesign, with a refreshed UI, new comparison tools and more subnet trading metrics. > [ @taodotcom ] They highlighted their bridge app, letting users wrap native TAO and bridge it to Solana and other chains. > [ @nametensor ] NameTensor launched a TNS Migration Program with discounts for TAO Name Service holders. > PODCASTS @opentensor Novelty Search hosted by @const_reborn. > @IOV_OWL podcast with @MaxScore from Score. > @markjeffrey Hash Rate podcast with @peytonspencer from Ditto. > @markjeffrey Hash Rate podcast with @gavinzaentz from @LeadpoetAI. > @gordonfrayne podcast with @centrum_blue from @theminos_ai. > @gordonfrayne podcast with @sebyrubino from Zipcode. > @gordonfrayne podcast with @yubrew from Bitsec. > @jollygreenmoney podcast with @Tom_dot_b from Bitcast. >

Bittensor has seen major developments over the past 14 months, including the launch of subnet tokens, a growing number of subnets (now 128), and a halving. • Staking Dynamics: Subnet staking participation is rising, although only around 20% of TAO circulating is in subnets, vs the 50% of TAO staked to root. • The "Barbell" Approach: Subnet allocations are moving to extremes. Top TAO holders are either largely avoiding subnets or allocating heavily. For the top 5K holder cohort, average subnet allocations grew from 31% to 39% YTD. • New Network Mechanics: Bittensor’s emission model was updated to consider TAO flows into subnets. Subnet deregistrations were also reintroduced. • Ecosystem Risks: The sudden exit of AI lab Covenant, which operated 3 of the top 15 subnets, highlighted the risks of subnets leaving the network, though many subnets have stated staying on the network is key to their success. Full breakdown in the report by Senior Crypto Market Strategist, @martin_gaspar1, and @SubnetStats. Read here:

The Bittensor (TAO) Ecosystem Map: A map of 100+ (live) @opentensor subnets; Use this as your initial compass to navigate the TAO ecosystem Turn notifications on; our full report will be published in the next few weeks Let us know in the comments which segment you find most interesting:

kraken just listed 7 bittensor subnet tokens at once. lium, score, hippius, vanta, ridges, chutes, targon. first time a tier-1 exchange validated the subnet token model. here's the problem: most of these subnets emit 20-40% token supply annually. combined subnet revenue across the entire network is likely under $10m/yr. at those emission rates you need revenue to 2-3x every single year just to hold earnings per token flat. the listing creates a liquidity event and a hype window but the dilution math is merciless. check emission schedules before you touch any individual subnet token. if you believe in the thesis but can't underwrite individual subnet revenue growth, TAO captures upside from all surviving subnets without the single-subnet dilution risk. 5 of these 7 probably go to zero. the 2 that find real product market fit compound for years

Shardul Bansal @shardiban started in the Bittensor ecosystem at the University of Toronto, working on his capstone with Ala Shaabana on benchmarks for decentralised training. He then led product at Crucible Labs before launching ORO @oroagents, Subnet 15 on Bittensor, pioneering open agents and agentic commerce through open incentives. At the Louvre, he joined the Bittensor Track at Proof of Talk. One of the strongest Bittensor meetups he has ever seen. His words. The praise that matters from someone who has watched the ecosystem grow from inside it.

This Thursday on Novelty Search :: Bittensor SN54 Yanez @yanez__ai shows how #SN54# uses Bittensor miners to generate synthetic adversarial identity data for financial crime prevention, helping compliance teams stress-test sanctions screening, fraud detection, and KYC systems before criminals do. Join live via Bittensor Discord. Hosted by @const_reborn