Bittensor Ecosystem Highlights :: August 3–9, 2026 This week’s biggest stories across Bittensor came from Actual Computer, 404, Score, Engy, Chutes, Connito AI, and OpenRoboto. [ @actualinc - Subnet 95 ] @NousResearch’s Hermes Agent now lets users connect directly to Actual Computer. Users can run Hermes on models served by their own hardware and access their private inference from anywhere. Actual brings a Bittensor subnet into one of the world’s most popular open-source AI agents. [ @404gen_ - Subnet 17 ] 404 unveiled Atlas, its new application for production-ready 3D. Atlas targets mobile gaming and real-time creation, building on what 404 calls one of the fastest high-quality 3D generation systems available. It turns Subnet 17’s output into assets studios can actually use, with 404 citing relationships with companies like Square Enix. [ @webuildscore - Subnet 44 ] Score is deploying 124 @nvidia Jetson-powered vision systems across @Avia_France fuel stations this quarter. Each system will run specialized vision models developed through Subnet 44 locally. Score also introduced Score Studio, its decentralized alternative to Roboflow for training and deploying vision models. [ @engyai - Subnet 53 ] Engy launched the full 2.8T-parameter Kimi K3 at the lowest price on the market. It runs on 80 consumer RTX 5090 GPUs with performance close to @Kimi_Moonshot’s official API, while OpenRouter users can save up to 50%. DeepSeek V4 Flash is also live on Engy, priced 50% below OpenRouter and 68% below DeepSeek’s official API. [ @chutes_ai - Subnet 64 ] Parallax’s early 5B model is already outperforming OLMoE 7B-1B, a larger open model, after the same amount of training. The 7B model uses 30% more active parameters, so Parallax achieves this with less compute on every request. Parallax also trained faster on consumer RTX 5090s than on professional GPUs costing roughly three times more. [ @ConnitoAI - Subnet 102 ] Connito has officially unveiled the full system behind its decentralized training network on Bittensor. Its new method breaks large AI models into smaller expert parts, lets miners improve them independently, then combines the best updates. Early tests cut memory use by about 80% while improving math and coding, making distributed training accessible to far more contributors. [ @openroboto - Subnet 80 ] OpenRoboto officially launched as an open competition for improving robotics models. In its first week, miners raised the base model’s success rate from 50.3% to 70.77% on LIBERO-Pro, a benchmark that tests how well robots complete manipulation tasks. The long-term goal is to move the best models from benchmarks into real robots and factories.

Bittensor Ecosystem Highlights :: August 3–9, 2026 This week’s biggest stories across Bittensor came from Actual Computer, 404, Score, Engy, Chutes, Connito AI, and OpenRoboto. [ @actualinc - Subnet 95 ] @NousResearch’s Hermes Agent now lets users connect directly to Actual Computer. Users can run Hermes on models served by their own hardware and access their private inference from anywhere. Actual brings a Bittensor subnet into one of the world’s most popular open-source AI agents. [ @404gen_ - Subnet 17 ] 404 unveiled Atlas, its new application for production-ready 3D. Atlas targets mobile gaming and real-time creation, building on what 404 calls one of the fastest high-quality 3D generation systems available. It turns Subnet 17’s output into assets studios can actually use, with 404 citing relationships with companies like Square Enix. [ @webuildscore - Subnet 44 ] Score is deploying 124 @nvidia Jetson-powered vision systems across @Avia_France fuel stations this quarter. Each system will run specialized vision models developed through Subnet 44 locally. Score also introduced Score Studio, its decentralized alternative to Roboflow for training and deploying vision models. [ @engyai - Subnet 53 ] Engy launched the full 2.8T-parameter Kimi K3 at the lowest price on the market. It runs on 80 consumer RTX 5090 GPUs with performance close to @Kimi_Moonshot’s official API, while OpenRouter users can save up to 50%. DeepSeek V4 Flash is also live on Engy, priced 50% below OpenRouter and 68% below DeepSeek’s official API. [ @chutes_ai - Subnet 64 ] Parallax’s early 5B model is already outperforming OLMoE 7B-1B, a larger open model, after the same amount of training. The 7B model uses 30% more active parameters, so Parallax achieves this with less compute on every request. Parallax also trained faster on consumer RTX 5090s than on professional GPUs costing roughly three times more. [ @ConnitoAI - Subnet 102 ] Connito has officially unveiled the full system behind its decentralized training network on Bittensor. Its new method breaks large AI models into smaller expert parts, lets miners improve them independently, then combines the best updates. Early tests cut memory use by about 80% while improving math and coding, making distributed training accessible to far more contributors. [ @openroboto - Subnet 80 ] OpenRoboto officially launched as an open competition for improving robotics models. In its first week, miners raised the base model’s success rate from 50.3% to 70.77% on LIBERO-Pro, a benchmark that tests how well robots complete manipulation tasks. The long-term goal is to move the best models from benchmarks into real robots and factories.

Source:https://x.com/opentensor/status/2086447414408269938