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"slug": "connitoai",
"name": "ConnitoAI",
"symbol": "\u10d5",
"description": "ConnitoAI Bittensor subnet",
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"immunityRemaining": 4803,
"sentiment": "Neutral",
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"tone": "positive",
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"value": "accelerating (244/30d vs 100/mo avg)",
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"title": "ConnitoAI",
"source": "llm",
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"shortSummary": "ConnitoAI (netuid 102) is a Bittensor subnet implementing distributed Mixture-of-Experts LLM training across independent miners, but the network is operating near-empty with only 3 active miners and a catastrophic -99.7% 30-day price decline. A burst of 242 commits and 66 merged PRs in the last 30 days shows recent developer activity, but near-zero community traction and critically thin adoption make durability highly uncertain."
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"Code quality signals are poor across the board: self-merge ratio of 0.90, commit message quality score of 0.10, average 0.2 reviews per PR, no tests, no lint config, and top contributor controlling 83% of commits \u2014 pointing to a single-operator, low-rigor development process with high bus factor risk"
],
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"summary": "ConnitoAI (netuid 102) is a Bittensor subnet implementing distributed Mixture-of-Experts LLM training across independent miners, but the network is operating near-empty with only 3 active miners and a catastrophic -99.7% 30-day price decline. A burst of 242 commits and 66 merged PRs in the last 30 days shows recent developer activity, but near-zero community traction and critically thin adoption make durability highly uncertain.",
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"expiresAt": "2026-05-29T20:38:21.655972+00:00",
"strengths": [
"Differentiated infrastructure concept \u2014 distributed MoE LLM training is a non-commodity capability with a real technical moat if network effects materialize, unlike thin inference wrappers",
"High recent shipping burst: 242 commits and 66 merged PRs in the last 30 days across the Connito-AI/Connito repo, plus 7 releases in the past 12 months, indicating active development",
"CI pipeline, documentation, and license are all present in the primary repo, providing a minimal quality floor"
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"durability": "weak",
"recommendation": "Avoid until active miner count recovers above 10 and the 30-day price trend stabilizes \u2014 the current near-empty network and single-operator codebase make this subnet non-viable for allocation at this time.",
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Vocence **Open, incentivized voice intelligence on Bittensor.** Vocence is a Bittensor subnet focused on the development and evaluation of voice intelligence models, including Prompt-based Text-to-Speech PromptTTS , Speech-to-Text STT , Speech-to-Speech STS , voice cloning, and other multimodal voice capabilities. The network incentivizes miners to train and deploy models that follow natural-language prompts describing both content and voice traits such as gend",
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"text": "This is an at-a-glance dash for our Vocence Network\nCheck it out! \nhttps://t.co/AVSMXokGtq",
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"text": "Vocence SUBNET 78 IS LIVE \u2014 and it\u2019s a game changer. Decentralized voice intelligence is upon us, set to achieve SOTA\ud83d\ude80 \ud83d\udd25 #Bittensor #Vocence #Subnet78 $TAO\n\nJoin us -- mine, validate, contribute, build, train, test and adopt. \n\nWebsite: https://t.co/YSdDdrAxDP\nGitHub: https://t.co/OUCyGAfh0S\nDiscord: https://t.co/O37DG7d42y\nTelegram: https://t.co/fQoy4djEis",
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"text": "Voice is the missing layer in AI.\n\nText got all the attention.\nVoice is where real interaction happens.\nTomorrow we launch a subnet built for:\n\u2022 speech-to-text\n\u2022 text-to-speech\n\u2022 voice cloning\n\u2022 real-time voice agents\n\nDecentralized. Competitive. Improving every block.\nStay tuned. #bittensor #sn78 #vocence",
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"text": "RT @TaoOutsider: @Grayscale, I would like to better understand your current level of confidence in $TAO Bittensor. Could you elaborate on t\u2026",
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"text": "RT @opentensor: This weekend at @frontiertower, Bittensor joins the @FundingCommons event with an on-site hackathon track in San Francisco.\u2026",
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"text": "Something big is coming. \ud83d\udc40\ud83d\udd25 #Subnet78 #TAO #VoiceIntelligence #DeAI",
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"text": "RT @chutes_ai: How much of your AI provider's stack can you read?\n\nOpenAI gives you a privacy policy. Their inference engine, load balancer\u2026",
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"text": "RT @nordin_eth: The founder of $TAO just declared war on big AI\n\n\"we repeatedly beat sota (state of the art)\u2026we actually solve problems bet\u2026",
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