Chutes

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Chutes

Chutes

@chutes_ai

The most secure AI inference on earth. Powering https://t.co/wYDFLVzPnb and your next AI App.

Bittensor Katılım Kasım 2024
13 Takip Edilen9.9K Takipçiler
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Chutes
Chutes@chutes_ai·
You can now run frontier AI models where not even the gpu provider can see your data. 15+ models with hardware-enforced privacy (TEE) on Chutes. No other open-source inference provider offers this. Here's the full lineup and why it matters ↓
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Chutes
Chutes@chutes_ai·
Integration Update: @nevika_ai just added Chutes to their provider dropdown. If you're already running your chats there, you can now point them at any of the 50+ open source models we host, including DeepSeek, GLM, Kimi and MiniMax models. Go check them out! nevika.eu
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Kyle Widmann
Kyle Widmann@KyleWidmann·
Our TEE implementation was the foundation for secure compute at Chutes.AI, but we’re not stopping there. We’re actively adding new capabilities to push closer to true trustless compute on the Bittensor network. Here are two major improvements we’re working on right now 👇 #Bittensor #ConfidentialComputing
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GenLayer
GenLayer@GenLayer·
This is the showcase of a new agentic future! Announcing the winners of the Bradbury Builders Hackathon, where 280+ builders built 135+ projects on GenLayer with AI-native consensus, native web access, and contracts that pay their creators forever. Here are the winners 👇
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Chutes
Chutes@chutes_ai·
@jon_durbin 13/ Huge thanks to the TNG team for joining the AMA, sharing their thoughts, and offering to support. Much appreciated guys @tngtech . Full AMA recording below x.com/i/spaces/1qxvv… plenty more to build.
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Chutes
Chutes@chutes_ai·
12/ The medium-scale baseline run is live right now. loss curves are tracking the synchronous reference, which is the result we needed to see. Jon himself frames the odds of this fully working at frontier scale as low, but only time will tell. There's a real gap between open and closed source today. but it's a direction worth running hard at.
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Chutes
Chutes@chutes_ai·
imagine helping train a frontier-scale model from your gaming PC. that's roughly where @jon_durbin thinks decentralized training is headed. he walked through the whole picture on yesterday's Chutes AMA. recap below 👇
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Chutes
Chutes@chutes_ai·
@JesusMartinez Thanks for the invite! Lots of very cool stuff incoming stay tuned 👀
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Jesus Martinez
Jesus Martinez@JesusMartinez·
Jon Durbin is a core contributor to Chutes, the biggest AI subnet on Bittensor 72 hours after Covenant AI rage-quit the network, I got him on record. What he said about governance, revenue, and why he's not leaving shocked me. @chutes_ai is Subnet 64 on Bittensor. Largest AI subnet in the entire TAO ecosystem. Over 1 trillion requests per month. And they're run by six separate contractor companies with no CEO. Here's what @jon_durbin walked me through. On the Covenant AI exit: - Sam Dare's departure sent a shockwave through the network - Jon saw zero warning signs ("I did not see this coming") - Wouldn't comment on whether Sam rugged or panicked - Said the real lesson is putting guardrails on yourself so you CAN'T rug in a moment of weakness How Chutes made itself "unruggable": - All owner emissions go into a smart contract vault - Audited by Trust Security - The contract pays out staking rewards to six subcontractor companies - The principal can never decrease - Jon can't control it. Nobody can. Then the revenue numbers. Chutes is at 0% TAO emissions right now. They're running on alpha token emissions plus real revenue. - Daily revenue climbed from under $10K to a peak of $22K - Cut GPU inventory from 1,700 H200s down to 700 - Made MORE money with half the hardware - They're 2/3 of the way to fully offsetting costs On subscription abuse that forced the pivot: Some users on $20/month plans were burning $6,400 in inference. Businesses signing up with prepaid cards. Spamming accounts. Fraud on Stripe. Chutes capped the subscriptions. Killed the free tier. Moved TEE-only on OpenRouter. That's when revenue actually started working. The bomb he dropped at the end: - New algorithm for training "arbitrarily large" models on Bittensor - Targeting dropping in the next week or two - Positioning to go beyond what Templar did with dense 72B models - Jon: "to actually compete, like if you look at xAI, they're training 10 trillion parameter models now... we need to sort of cross that chasm... I think there's a way to do it" And on why he won't leave for a Web2 payday: Chutes is a DePIN. That gives us SEC protections and permissionlessness. Jon's stance: AI is becoming as critical as a calculator. Someone has to make sure the whole world has access. The strongest subnet on Bittensor is not just surviving the Covenant fallout. It's accelerating. Full episode ⬇️
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