Rayon Labs

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Rayon Labs

Rayon Labs

@rayon_labs

Cracked team collaborating with the best subnets on the Bittensor Network to further decentralised AI

Katılım Ağustos 2024
25 Takip Edilen6.6K Takipçiler
Rayon Labs
Rayon Labs@rayon_labs·
Hey guys - You might have noticed we haven’t posted here in a while now. Previous Rayon devs are now spread out all over the ecosystem, building a garden variety of subnets The subnets that Rayon devs helped with the most, Gradients & Chutes, now have well oiled teams and are flying alone without our dev / marketing / logistics support. So please follow them directly instead for any future updates! @gradients_ai with Grads LLC @chutes_ai with Chutes Global Corp
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Gradients
Gradients@gradients_ai·
📅 Today @ 5PM EST Gradients will be on Novelty Search (Bittensor Discord & X spaces). If you can't wait - check out @wanderinweights 's last talk, quoted below. gradients.io
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Ventura Labs@VenturaLabs

Ventura Labs Ep. 57 - Christopher Subia-Waud Christopher (@wanderinweights) is the primary contributor to Gradients (@gradients_ai) Timestamps 01:11 - Introduction 02:05 - First contact with Bittensor 04:51 - Subnet 19’s verification problem 05:14 - Next-token probability checks 07:44 - Verifying images vs. text (diffusion nuances) 08:33 - How Bittensor reshaped his view 12:13 - NeurIPS credentials vs. real-world impact 14:00 - Why Bittensor moves faster than academia 15:51 - Gradients (Subnet 56) overview 18:14 - Tasks covered: Instruct, DPO, GRPO, Diffusion 20:34 - Winner-take-all incentives & emissions design 22:37 - Hyperparameters and search space 26:04 - Benchmarks vs. HF/Databricks/GCP/Together 31:10 - Best-performing sizes (7B–8B) 33:23 - Iterative training on large datasets 35:18 - Model merging vs. sequential approach 36:09 - Customer demand 38:20 - Gradients 5.0: open-source tournament 43:29 - Biggest surprise from open-sourcing 47:59 - Attracting and retaining top miners 50:20 - Miner stories and preserving the hobbyist spirit 52:57 - Rayon Labs partnership (Chutes + Gradients) 55:53 - Thriving under dTAO; emissions growth and why 58:01 - Bittensor-suited problems ahead 01:00:36 - Building toward “best AI” 01:04:58 - Risks of embedded ads in model outputs 01:07:30 - Advice to AI devs skeptical of crypto

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Openτensor Foundaτion
Openτensor Foundaτion@opentensor·
This week on Novelty Search we have Subnet 56 @gradients_ai Gradients allows anyone in the world to train image & text models on Bittensor Within a few clicks, you can select a base model, dataset and training time. With performance indicators and benchmarks showing how Gradients comes on top in the one-click training space. Featuring the team from @rayon_labs @wanderinweights @namoray_dev Hosted by @const_reborn X Livestream :: @opentensor or join via Bittensor Discord :: 5PM EST #SN56 #Subnet56 #Bittensor
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Bitcast | SN93
Bitcast | SN93@Bitcast_network·
📢 Brief 014 is locked and loaded. Big Tech, watch out — Bittensor is coming for you 🤖 Tag your favourite subnets below — the Bitcast creators are listening 👇 $TAO #SN93
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NineteenAI
NineteenAI@nineteen_ai·
⚡🖼️ FLUX KONTEXT IMAGE EDIT LIVE NOW 🚨 A truly incredibly model that allows you to edit any image in seconds with a simple prompt, now live on @nineteen_ai , at lightning-fast speeds Available Now on Our Playground + API: nineteen.ai/app/playground…
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Chutes
Chutes@chutes_ai·
Thread: Get started with Chutes in 5 mins ⏱️ Want to call any open-source AI model without a complicated setup process? You’re in the right spot. Here’s the fastest way to get started with Chutes👇
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Rayon Labs
Rayon Labs@rayon_labs·
@nineteen_ai -- Subnet 19 Built for apps where milliseconds matter. - Specialized, performance-optimized models and compute (<200ms latency) - Fastest provider on OpenRouter for all models supported by NineteenAI - Ideal for finance, realtime chat, robotics - High-throughput mining ensures consistent speed under load. Speed without compromise.
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Rayon Labs
Rayon Labs@rayon_labs·
@gradients_ai -- Subnet 56 Fine-tune your models with one click. - Supports SFT, LoRA, RLHF - Distributed GPU training 96% cheaper than Google Vertex ($10,000) with 25% better performance than the competition - Deploy models directly to Chutes - zero DevOps required Fine-tuning, simplified.
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NineteenAI
NineteenAI@nineteen_ai·
🚨⚡ Announcement: On the 14th July 2025 we will be migrating all existing Corcel API users across to NineteenAI's AI new inference platform. Don’t worry - if you have an API key with us, it will not be affected, and any balance will be migrated across too. You will be sent an email with your new login credentials and further explanation shortly.
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Rayon Labs
Rayon Labs@rayon_labs·
@NaraTemarl Just a $5 one-time payment. We will be releasing an update to the Chutes platform today that will show your account status, quota remaining per day etc.
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Temari Nara
Temari Nara@NaraTemarl·
@rayon_labs We need more info in that case. As allready ask does we need do only one-time payment, or we need always have 5$ on our ballance? Does the ballance can expired over time if you don't use them, or not. Because I want to know is it worth it, or OR will be better.
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Rayon Labs
Rayon Labs@rayon_labs·
@Vadimkus3 @chutes_ai To reiterate, as Jon mentioned, all TAO payments are staked automatically and visible on chain + tao revenue is already visible through our dashboards.
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Rayon Labs
Rayon Labs@rayon_labs·
We have to collect the payments and stake at the end of X period due to some of the intricacies of FIAT payments (chargebacks, disputes etc), and account of processor fees. It has only been a week or two since FIAT payments launch (in beta) but we’re hard at work building dashboards/infrastructure in the meantime to make this more visible for everyone.
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Chutes
Chutes@chutes_ai·
Chutes Payments with fiat are now Live in Beta 🪂 With our next step towards mass revenue, we are accepting fiat payments for all paid models. You may consume your balance through both the playground apps and our API. All Revenue is auto-staked to the Chutes Alpha Token.
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