TrajectoryRL

Reinforcement Learning as a Service for optimizing agent trajectories powered by Bittensor.

[TrajectoryRL @TrajectoryRL]

Attention TrajectoryRL massive updates have been made
Please join: https://t.co/QZw2qRhV65

TrajectoryRL is expanding In order to get the latest updates visit our server above

#Bittensor #subnet #tao #TajectoryRl #trajrl #crypto #SN11 #opentensor

[Openτensor Foundaτion @opentensor]

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.
> https://t.co/KJzo9YGfcB

Chutes also became a launch partner for Respan’s new AI Gateway.
> https://t.co/pBhdJWkKYj

[ @QuasarModels - SN24 ]
Quasar released Quasar-Preview, its first public Quasar model trained on Bittensor: 18B MoE, 2B active and 5M context.
> https://t.co/ThEA0gpgzg

Quasar is preparing a 10T-token decentralized training run on SN24, starting with a 5T-token phase to produce a stronger checkpoint.
> https://t.co/vXiQdA7fHK

[ @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.
> https://t.co/rICbXX6vj4

[ @webuildscore - SN44 ]
Score showed how its 19MB vision model beat larger AI models on object detection while running much faster on CPU.
> https://t.co/kfAJ78OmR8

They also added new comparison pages on @manakoai against ChatGPT, Claude, Roboflow, SAM 3 and other vision AI tools.
> https://t.co/D5ARXilc8j

[ @vidaio_ - SN85 ]
Score is partnering with Vidaio to bring vision AI challenges to SN44 and make video archives searchable and actionable.
> https://t.co/bRHvHIhw8R

[ @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.
> https://t.co/RjqUsoyDUW

They also shared in their latest AMA that Yanez has generated $300K+ in 2026 sales, with an active pipeline over $1M and 11 clients.
> https://t.co/yHaFxPX5Oy

[ @trishoolai - SN23 ]
Trishool was accepted into Anthropic’s Claude Partner Network.
> https://t.co/zE5DKPNhYM

[ @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.
> https://t.co/LSLFP1fuqU

[ @VantaTrading - SN8 ]
Vanta Trading crossed 2000 users after launching free $1k eval accounts and cutting prices by 55% across all challenges.
> https://t.co/O0Eqp3ekvY

[ @SwarmSubnet - SN124 ]
Swarm announced SOTApilot, an open-source AI drone autonomy model with 95.34% success on its UAV navigation benchmark.
> https://t.co/UnC4cGPsS0

[ @blockmachine_io - SN19 ]
Blockmachine launched Ethereum RPC.
> https://t.co/XyTFyf8pBf

[ @TrajectoryRL - SN11 ]
TrajectoryRL is expanding SN11’s skill competition from skill packs to miner-submitted finetuned models.
> https://t.co/cLxI0uKmy0

[ @heydittoai - SN118 ]
Ditto reached 1000 users.
> https://t.co/sLdkXHXdSZ

[ @theminos_ai - SN107 ]
Minos has run over 37,000 variant-calling evaluations on chromosome 21, with submissions improving by 10.21% on average.
> https://t.co/pqGUSFfxXQ

[ @minotaursubnet - SN112 ]
Minotaur launched its website and opened beta access to its DEX Aggregator.
> https://t.co/YO8qfkEuNH

[ @ReadyAI_ - SN33 ]
ReadyAI launched a revenue dashboard showing real-time demand for SN33’s structured data pipeline.
> https://t.co/6DB9XqVWdE

[ @say_gm_ - SN28 ]
Good Morning published the roadmap for its AI gateway running in a TEE, now live on testnet with mainnet beta next.
> https://t.co/AqePX5wEAA

[ @EndureNet - SN30 ]
Endure is integrating @SynthdataCo's forecasts into its DeFi risk engines.
> https://t.co/1xU2bpDdpF

[ @eirel_ai - SN36 ]
Eirel released its first product, offering deep research, image generation, web search and agent tools across multiple model families.
> https://t.co/XvD7V1uzIq

[ @adtao_ppcrebel - SN21 ]
@dsvfund took an OTC position in the SN21 alpha token.
> https://t.co/FwRoiRTOuA

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.
> https://t.co/bTJIiR7JlE

PODCASTS & ARTICLES
@opentensor Novelty Search hosted by @const_reborn with @zipcodenetwork
> https://t.co/ueU7v8gnpy

@taodotcom Episode 14 with @Carrot_____1 and @KeithSingery
> https://t.co/aFN9si9eU4

@gordonfrayne podcast with @josercaldera from Yanez
> https://t.co/6pXNdSHPkV

@gordonfrayne podcast with @knakamor from Vocence
> https://t.co/FKBYJ69YWv

@AltcoinMillie podcast with @MaxScore from Score
> https://t.co/fw2EymKeLO

@AltcoinMillie podcast with @zeussubnet
> https://t.co/j54g9qxzwa

@taodotcom article “The Impact of Conviction”
> https://t.co/E3gjm7ZuG4

[Andy ττ @bittingthembits]

🚨 There is a $TAO subnet on Bittensor that few are paying attention to.

That is a mistake.

@TrajectoryRL on SN11 is not building another model. It is building the skill layer for AI agents. And that may end up being even more important.

Everyone is obsessing over bigger models.

But bigger models are useless without better skills.

Garry Tan (president of Y Combinator): thin harness, fat skills.

Harrison Chase (founder of LangChain): context layer learning.

@TrajectoryRL: NOW WE MAKE IT COMPETITIVE ⚔️

How does an agent improve after it fails. How does it handle tools. How does it coordinate across workflows. How does it actually get better over repeated runs.

That is what SN11 is turning into a live market.

Right now:

256 miners
206 active
49.3K reports
381.1K LLM calls
1.43B tokens processed

And the total cost to run the competition so far?

$349.

👀 Read that again.

A live autonomous agent competition, with hundreds of miners, billions of tokens processed, and real eval infrastructure, has run for just $349 so far.

That is insane capital efficiency.

Not theory, either.

Miners submit agent skill packs. Each submission gets executed 4 times in a fully isolated Docker sandbox with real-protocol mock services Gmail, Slack, Calendar, Docs, Drive, Gitea.

No internet access.

Just the agent, the sandbox, and the skill. An LLM judge scores the output on scenario-specific criteria.

Then, the system computes a split-half delta comparing performance in episodes 3 and 4 against episodes 1 and 2.

If the agent actually learned and improved across runs, it gets a bonus. If it just memorized, it does not.

That scoring mechanic is the key. It does not just reward quality. It rewards growth. It rewards agents that get better over time.

That is, reinforcement learning applied to skill production through economic incentives.

The evaluation catches cheating, too. Look at the recent evaluations on the dashboard. Submissions get flagged and failed for things like "prompt contains benchmark-tailored and encodes prescriptive playbooks" or "prompt includes selective tool blocking."

The system is ruthlessly filtering for genuine skill improvement and rejecting anything that tries to game the benchmarks. New epochs happen roughly every 72 minutes. Every epoch is a shot at 0.49 $TAO per epoch to the winner.

That means SN11 is not rewarding prompts.

It is rewarding agents that actually improve.

The skills coming out of this ecosystem are already getting real usage. The self-improving-agent skill that came out of this ecosystem already has:

3,200 stars
387,000 downloads

On ClawHub.

It works with Claude Code, OpenClaw, Codex, Cursor, Copilot any agent that can use a shell.

25% of Y Combinator's Winter 2025 batch had codebases that were 95%+ AI-generated.

The most exciting things happening in software are not coming from big studios. They are coming from solo developers shipping full applications in a weekend with the help of AI agents.

Claude Code Game Studios, an open source project that turns Claude into a full game dev team with 48 AI agents and 36 workflow skills, hit 8,000 stars in its first month.

Every single one of those agents needs skills.
Skills that tell it how to handle errors. Skills that teach it to self-improve. Skills that coordinate multi-service workflows.
Skills that let it reason about failures and adapt.

The future of agents is not just bigger models. It is modular skills in open competition.

SN11 is the supply chain for the agentic economy that nobody is talking about.

Everyone focuses on which model is biggest. Which benchmark score is highest.

Nobody asks where the skills come from that make that actually useful in production.

$TAO

🔗https://t.co/ONqurC7QVF

[τp @tpwereld]

The more I study @TrajectoryRL, the more excited I get.

It’s building the infrastructure to continuously discover better agent behavior.

New scenarios.
New evaluations.
New skills.

Subnet 11’s output could become one of the most valuable assets in the agent economy.

$tao

[Aphτ 🌊α @tao_Alph]

No doubt ! One of the best and high quality subnet in ecosystem @TrajectoryRL … we need to come out and speak up

[✠ PUNISHER ττ ✠ @CryptoZPunisher]

Bittensor >> $TAO >> $dTAO

Subnet 11: TrajectoryRL
@TrajectoryRL
@totheagi
https://t.co/vNRqpDu7PU
https://t.co/GAs1PrXrSc

Read on @SubnetSummerTAO :

“nobody talks about SN11.”

And yet, I wrote this article more than 3 months ago.

I genuinely think it deserves an update and a much deeper analysis.

This project is serious.

@TensiaFDN , despite the current workload, this subnet needs to be added to the to-do list.
I’m sure you’re already thinking the same thing.

PS:
For those looking for articles, part of them can be found on Magellan under the topic:

“The Voice of the Subnets – Article”

➡️ Magellan https://t.co/rm698HOGPu

I’d love to do even more, but this kind of work is extremely time-consuming.

The good news is that truly strong subnets are not that numerous.
It’s probably time now to focus our time and attention on the real builders.
Less noise.
More quality.

[Tao Outsider | Bittensor @TaoOutsider]

$TAO Subnets - People asked me what my 5 highest-conviction subnets are within the Bittensor ecosystem.

I tried to pick 5. Couldn’t.

So I selected 7 out of the Top 10 by market cap instead:

SN64 Chutes
SN3 Templar
SN4 Targon
SN120 Affine
SN62 Ridges
SN44 Score
SN75 Hippius

Not ranked. Not ordered by preference.

Just a careful conviction list based on what I’m watching closely right now.

[Michael Parker @bittensormax]

$TAO #Bittensor
My updated SN Alpha Allocations Breakdown 📊 Which of these subnets are you most bullish on? 👀

Zipcode SN46 (23.82%) @zipcodenetwork

Score SN44 (23.35%) @webuildscore

Hippius SN75 (13.85%) @hippius_subnet

Babelbit SN59 (10.84%) @babelbit

NOVA SN68 (5.70%) @metanova_labs

Ditto SN118 (5.56%) @heydittoai

Swarm SN124 (5.47%) @SwarmSubnet

TrajectoryRL SN11 (5.43%) @TrajectoryRL

distil SN97 (2.72%) @arbos_born

Targon SN4 (2.71%) @TargonCompute

I also have holdings of smaller less than 1% of my portfolio of a dozen others.

[Openτensor Foundaτion @opentensor]

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.
> https://t.co/nbHkt0khZa

[ @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.
> https://t.co/tGckliqGEP

@manakoai unveiled the video presentation of their upcoming vision AI product.
> https://t.co/GqBJEDEycs

Score also released their new vision skill “Detect-road-signs”.
> https://t.co/y4K8Mr8sg2

[ @chutes_ai - SN64 ]
Chutes finished moving the entire platform onto TEE and brought its first Blackwell B200s online.
> https://t.co/bOlm95jfez

Chutes is now also a provider on @openGPUnetwork.
> https://t.co/O5Rrr2mIG1

[ @numinous_ai - SN6 ]
Numinous is integrating its predictive market signals into @arespro to surface high-impact news and market context for traders.
> https://t.co/nG7DWWWtq2

[ @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.
> https://t.co/Vx1sCQp7jt

Minos was accepted into the Cloudflare for Startups program to support the next phase of its decentralized genomic infrastructure.
> https://t.co/6u3yt2VCs1

[ @EnigmaSN63 - SN63 ]
Enigma’s second RSA milestone was solved, factoring 460-bit RSA in 3.9 hours.
> https://t.co/cD5FgKPEof

[ @QuantumSN48 - SN48 ]
@PennyLaneAI is now integrated into Open Quantum, making it easier to run quantum ML and optimization workflows on real quantum hardware.
> https://t.co/QZbFFzOUm7

[ @yanez__ai - SN54 x @bitmind - SN34 ]
Yanez and BitMind stress-tested their AI detection models on 300K adversarial face images, reaching 98% overall accuracy.
> https://t.co/u0lzDjjFf5

[ @QuasarModels - SN24 ]
Quasar-Preview trended on Hugging Face, reaching page two alongside major open-source AI models.
> https://t.co/HWPQR1jwq6

[ @EndureNet - SN30 ]
They announced @ForgeLending, the first product built on Endure, a native money market for Bittensor.
> https://t.co/XQSsvOiRWM

[ @TrajectoryRL - SN11 ]
TrajectoryRL showed that frontier-level models can be served at scale on consumer GPUs, using Qwen3-6.35B-A3B with 256K context.
> https://t.co/XnhAItQpSl

[ @heydittoai - SN118 ]
DittoBench is live, benchmarking agents on memory, tool use and speed.
> https://t.co/R9uD7TrQ1Y

[ @blockmachine_io - SN19 ]
Blockmachine’s June buyback nearly doubled May’s, reaching $3,981.
> https://t.co/P7LFkgf03t

[ @ai_detection - SN32 ]
It’s AI added OCR support for scans, photos, PDFs and broken encodings.
> https://t.co/jF59l6Cvvs

SUBNET LAUNCH

[ @RalphLabsAI - SN40 ]
Ralph launched as a decentralized research network where autonomous agents compete to improve a shared, proof-tested AI training recipe.
> https://t.co/K4ih5HJTPd

[ @CookingTao_ - SN122 ]
@LamidaGlobal announced CookingTAO, a subnet aiming to make it easier to deploy, manage and monetize miners across Bittensor.
> https://t.co/IFNlNaGqvB

BITTENSOR ECOSYSTEM

[ @iclblockchain ]
@imperialcollege is co-hosting the UK AI Agent Hackathon this summer, with Opentensor, Macrocosmos and other ecosystem partners involved.
> https://t.co/29n0eoEfrA

[ @taoswap_org ]
Taoswap launched its redesign, with a refreshed UI, new comparison tools and more subnet trading metrics.
> https://t.co/lN1GJAKJDi

[ @taodotcom ]
They highlighted their bridge app, letting users wrap native TAO and bridge it to Solana and other chains.
> https://t.co/SQb39pn5ty

[ @nametensor ]
NameTensor launched a TNS Migration Program with discounts for TAO Name Service holders.
> https://t.co/gbsqHMV0vX

PODCASTS

@opentensor Novelty Search hosted by @const_reborn.
> https://t.co/E3gjm7ZuG4

@IOV_OWL podcast with @MaxScore from Score.
> https://t.co/kJfFegUKs2

@markjeffrey Hash Rate podcast with @peytonspencer from Ditto.
> https://t.co/BAiXU8GQJ1

@markjeffrey Hash Rate podcast with @gavinzaentz from @LeadpoetAI.
> https://t.co/EglISKTvr4

@gordonfrayne podcast with @centrum_blue from @theminos_ai.
> https://t.co/q8okREfUl2

@gordonfrayne podcast with @sebyrubino from Zipcode.
> https://t.co/IytZ00R9tl

@gordonfrayne podcast with @yubrew from Bitsec.
> https://t.co/uuaHKJuh6z

@jollygreenmoney podcast with @Tom_dot_b from Bitcast.
> https://t.co/ZDFuGxYJPU

[TrajectoryRL @TrajectoryRL]

@Rgd_1997 امين

[TrajectoryRL @TrajectoryRL]

@serves111 ايش الشروط؟

[TrajectoryRL @TrajectoryRL]

@ShougAA6 دايم يسوونها فيني 😭

[TrajectoryRL @TrajectoryRL]

@Rgd_1997 وش صار