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Jon Durbin

Jon Durbin

Verified

Core Developer at Chutes

Human. Backend dev https://t.co/CJYvkACyne

News Mentions

Bullish Bittensor IOTA sn9, Chutes Parallax sn64, Teutonic sn3 and all the other $TAO decentralized training afoot.

@markjeffreyJul 2026

RT @chutes_ai: We have achieved fully non-blocking decentralized training on a recurrent model, within 0.6% of centralized quality. To our…

@socrates1024Jul 2026

20+ Onchain AI projects across 10+ sectors BUT there are 2 sectors that remain undertapped by both builders & investors > People built framework back in 2024, not many is building agent harness > Key players (i.e. Venice, Chutes, Dolphin) are forming primary inference markets YET other 4 layers o

@0xjeffJul 2026

RT @PhalaNetwork: #dstack private-ai-gateway can now route to custom @chutes_ai More confidential AI in the wild is good for private AI. S…

@socrates1024Jul 2026

20+ Onchain AI projects across 10+ sectors BUT there are 2 sectors that remain undertapped by both builders & investors > People built framework back in 2024, not many is building agent harness > Key players (i.e. Venice, Chutes, Dolphin) are forming primary inference markets YET other 4 layers o

@0xjeffJul 2026

20+ Onchain AI projects across 10+ sectors BUT there are 2 sectors that remain undertapped by both builders & investors > People built framework back in 2024, not many is building agent harness > Key players (i.e. Venice, Chutes, Dolphin) are forming primary inference markets YET other 4 layers o

@0xjeffJul 2026

Can someone within Bittensor tell me how Chutes could be profitable with their approach for selling inference? I’m genuinely wondering, maybe i’m missing something. TEE premium is far less than expected.

@algodtradingJul 2026

Bittensor Ecosystem Highlights :: July 6-12, 2026 [ @chutes_ai - SN64 ] Chutes achieved fully non-blocking decentralized training on a recurrent model with Parallax, staying within a 0.6% quality gap versus centralized training. > https://t.co/lKSZVpepws [ @vidaio_ - SN85 ] Vidaio launched Sentine

@opentensorJul 2026

我这几天继续看 $TAO 和 Bittensor 子网,发现一个很实用的分歧: 子网市值排名,和我自己的研究优先级,经常会分开。 按当前子网市值看,Chutes 第一,Targon 第二,lium 第三。 但如果按“我能验证多少真实需求”来排,顺序会变。 Chutes 的产品面最强,有模型目录、推理接口和使用量线索。不过部分模型调用计数会回落,这个指标暂时不能当成严格增长数据。 Targon 市值第二,叙事很完整,主打保密计算、TVM 和安全 GPU 云。但公开材料里,我现在看到的更多是拍卖配置和技术文档,硬需求数据还要继续找。 lium 市值第三,反倒是我现在最愿意继续跟踪的子网

@runes_leoJul 2026

RT @krakenlistings: Added to the roadmap: Chutes, Hippius, Lium, Score, Targon, Ridges AI and Vanta. See the full roadmap: https://t.co/e…

@opentensorJul 2026