@ConnitoAI

Building Specialised AI on Decentralized infrastructure in @bittensor SN102

 Bittensor Network
connito.ai/
Joined April 2026
  • Tweets37
  • Following5
  • Followers721
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Distributed training has never been easy. Building a distributed system that makes economic sense on Bittensor is harder still. Today, we’re introducing Connito: a network for collaboratively building composable specialized AI. Signal shows us that just by training a particular selection of experts as a partial model, we can improve the performance of the whole system. Learn about our architecture and results: connito.ai/blog/distributing…
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Training new residual experts on Qwen3.6-35B-A3B to support our next incentive update 👀
🤖 Made with AI
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Can we complete the whole data-generation, fine-tuning, and evaluation pipeline for the customer? Ask ahead! Put your questions in the thread!
Isabella Liu
@isabella618033Oct 15
New incentive mechanism! 30 Oct 🎁
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Dataless? What does it mean? 👀
Isabella Liu
@isabella618033Oct 13
👀 Hope it made your day!
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One thing after another! New incentive mechanism always makes me happy 😋
Isabella Liu
@isabella618033Oct 9
Such a sweet voice: What's next? Stay tuned🍬
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Just surreal to see one of the miners in real life!
Seb C@cayer_sebastienSep 29
At some point @shibshib89 is gonna drop some bittensor:native in support of @ConnitoAI @isabella618033
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The exploit summit definitely brought us inspiration! Right now moving on to our next big thing! 👀 Stay tuned!
Exploit Summit
@ExploitSummitSep 29
Your next AI model doesn't have to start from scratch. @isabella618033 shows how @ConnitoAI turns training requests into reusable experts on Bittensor. Free training requests are open for review, and you can join the waitlist for its model marketplace.
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Your next AI model doesn't have to start from scratch. @isabella618033 shows how @ConnitoAI turns training requests into reusable experts on Bittensor. Free training requests are open for review, and you can join the waitlist for its model marketplace.
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Today is the day when we come out from stealth right at exploit summit!
Isabella Liu
@isabella618033Sep 28
Check out our new model marketplace! connito.ai/marketplace Also come meet me at 1:30 PM ET at New City Gas Rao Stage!!! @ExploitSummit
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See you!
Isabella Liu
@isabella618033Sep 28
New blog post demonstrating the composable nature of our AI model. Where the integration of expert models performs better than the original one. Come chat with me tomorrow at 1:30 PM ET at New City Gas Rao Stage. connito.ai/blog/can-a-model-… @ExploitSummit
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New blog post demonstrating the composable nature of our AI model. Where the integration of expert models performs better than the original one. Come chat with me tomorrow at 1:30 PM ET at New City Gas Rao Stage. connito.ai/blog/can-a-model-… @ExploitSummit
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Frontier-scale training has belonged to labs with giant GPU clusters. @ConnitoAI is trying to break that model. At Exploit, @isabella618033 shows how we can turn distributed training model into a business model that we can sell to scale: luma.com/exploitsummit26
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We're getting ready to launch our training-as-a-service (TaaS) product! And we want to build it around what you want. This initiative would act as our market research, done in the open, tell us which expert you wish existed, and the Connito subnet may train it for real. Every proposal, every 👍 and every result shapes the platform our customers will use to train their own experts. connito.ai/
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Yes, forgetting happens when you teach a model new things. But forgetting dose not just happen even through out the model. Research says that it happens particularly in the router. To become an insider for how LLM works: connito.ai/blog/why-does-fin…

Why Does Fine-Tuning Make Models Forget?

Teaching a model something new edits a network that already supports everything else it knows — where that damage happens, and the three ways people try to stop it.

connito.ai
Connito AI
@ConnitoAIAug 25
Finetuning Instead of Expensive Frontier Models Finetuning gives you opportunity to build smaller and more efficient models that can fit into your at home GPU. Buttt at the cost possibly forgetting old knowledge. Check out this explanatory post of how do models learn new things! connito.ai/blog/why-does-fin…
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Finetuning Instead of Expensive Frontier Models Finetuning gives you opportunity to build smaller and more efficient models that can fit into your at home GPU. Buttt at the cost possibly forgetting old knowledge. Check out this explanatory post of how do models learn new things! connito.ai/blog/why-does-fin…
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Building Modular Intelligence Would you prefer hosting AI model on your own infrastructure or use direct API access? McKinsey's report Open source technology in the age of AI indicate that most prefer the first. How is it the case? And how can Connito make it easier for custom users? Read more: connito.ai/blog/one-giant-mo…
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Building Modular Intelligence Ever wondered how can model inference be cheap for providers, but expensive when you try to run it locally? The answer could be architectural due to model parts utilization. Check out what Connito offers to make this effort smooth for you. Read more: connito.ai/blog/one-giant-mo…
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