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      "role": "project",
      "label": "vocence",
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    {
      "tweet_id": "2049582732255314134",
      "handle": "vocence_bt",
      "text": "Vocence Studio is LIVE \n\nTry it now: https://t.co/mlKJ1i0rgD \ud83d\ude80 #Vocence #Subnet78 #bittensor $TAO",
      "created_at": "2026-04-29T17:12:57-03:00",
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    {
      "tweet_id": "2049553390410314046",
      "handle": "vocence_bt",
      "text": "Agent Logos is now live on the subnet channel. It knows everything about the subnet and manages subnet-related events. most importantly, it can talk https://t.co/jEn8CMXQq2",
      "created_at": "2026-04-29T15:16:21-03:00",
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    {
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      "handle": "Loosh_ai",
      "text": "RT @ArithmancyAI: The early results are promising \u2014 we were able to model multi-body dynamics with contact forces and consequence tracing,\u2026",
      "created_at": "2026-04-29T13:00:22-03:00",
      "likes": 9,
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    {
      "tweet_id": "2049150589322567842",
      "handle": "vocence_bt",
      "text": "checkout our dash we've got 26 miners trainninng, voice models  https://t.co/4bYcnA97Dp https://t.co/xOSKmVywgC",
      "created_at": "2026-04-28T12:35:46-03:00",
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    {
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      "handle": "vocence_bt",
      "text": "RT @tonymoonme: My bittensor:native subnet pick on TaoDX for today is SN78 (Vocence).\n\nQuick Statistics: \ud83d\udcca\n\ud83d\udccc Its Oracle Score is 69 (C-Rati\u2026",
      "created_at": "2026-04-28T07:21:37-03:00",
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    {
      "tweet_id": "2048761457928499600",
      "handle": "Loosh_ai",
      "text": "RT @BarrySilbert: Must read thread re State of Bittensor $TAO from @YumaGroup\u2019s COO",
      "created_at": "2026-04-27T10:49:30-03:00",
      "likes": 515,
      "retweets": 76,
      "replies": 14,
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    {
      "tweet_id": "2047651913722696144",
      "handle": "Loosh_ai",
      "text": "If there was ever a time to be bullish on Bittensor, it is right now.\n \nDCG summit was about showing how the smartest minds are building on TAO\n\nThe next phase will reward the teams who can turn research, compute, incentives, and real technical execution into something useful.",
      "created_at": "2026-04-24T09:20:34-03:00",
      "likes": 45,
      "retweets": 0,
      "replies": 1,
      "views": 1495,
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    {
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      "handle": "Loosh_ai",
      "text": "RT @BarrySilbert: Fantastic to spend time with many of the leaders in the Bittensor $TAO community at Yuma's first ever summit. The vibes,\u2026",
      "created_at": "2026-04-23T14:06:16-03:00",
      "likes": 783,
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      "handle": "Loosh_ai",
      "text": "https://t.co/DkyYE5XE6O has been deregistered from Bittensor.\n\nThis is obviously not the outcome we wanted, but we want to acknowledge it directly.\n\nOver the last several months, we tested an initial framework, learned a great deal about the constraints of the design, and began evaluating a new direction for the subnet and the broader company. Those conversations are still ongoing.\n\nWe are currently working through matters internally and will share more once that process is further along.\n\nWe are proud of what was built, grateful to the miners, validators, stakers, and broader community who participated, and appreciative of the conversations and support we received along the way.\n\nThank you to everyone who followed the project and contributed to it.\n\nWe remain confident in the long term direction of Bittensor, TAO, and decentralized compute. Thank you again to everyone who supported https://t.co/DkyYE5XE6O. We will share more when we are ready.",
      "created_at": "2026-04-14T12:44:57-03:00",
      "likes": 125,
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      "replies": 21,
      "views": 15411,
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    {
      "tweet_id": "2042443934363013534",
      "handle": "Loosh_ai",
      "text": "Why did we choose Bittensor (even though we are still next to be deregistered)\n\n- LC started mining subnet 44 in 2025, she brought in her former colleague and they started initially as a subnet mining co \n- because you literally can\u2019t do this anywhere else: computer vision to predict soccer matches on @webuildscore (yes it\u2019s called soccer)\n- competitive genomic testing with @metanova_labs (probably one of the most important subnets for humanity)\n\nBasically bootstrap a crazy idea that would otherwise require $$ but instead use @opentensor protocol to pit researchers against each other to earn rewards - using their hardware and brain power in the process\n\nYes there\u2019s economics that aren\u2019t fully explained at launch and politics etc \n\nBut the miners, validators and the whole process of sending and receiving solutions for data problems is fully hosted on the protocol. It\u2019s decentralized and operating on its own, we literally can\u2019t turn off the subnet (we tried)\n\nWhat we built here was a cognition architecture and began fully testing this before it goes live. We couldn\u2019t have done this anywhere else, because now we see where the improvements are. We wouldn\u2019t have been able to find this on a closed server. \n\nAre we glad we launched with TAO? It\u2019s been unimaginably challenging testing everything and more that we didn\u2019t expect.\n\nWould we do it again? I think we are already planning on it.",
      "created_at": "2026-04-10T00:25:55-03:00",
      "likes": 69,
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      "views": 2777,
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    {
      "tweet_id": "2042305501267103949",
      "handle": "Loosh_ai",
      "text": "Update. This week has been focused on strengthening foundations rather than pushing a release.\n\nWe\u2019ve been reviewing technical resourcing and operating structure to ensure we can deliver the next phase of the subnet with the right level of focus and velocity.\n\nThe 30-day plan for the inference track remains in place, and our next update will be tied to a concrete milestone on that rollout.",
      "created_at": "2026-04-09T15:15:50-03:00",
      "likes": 40,
      "retweets": 6,
      "replies": 0,
      "views": 1536,
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    {
      "tweet_id": "2042046943015350470",
      "handle": "Loosh_ai",
      "text": "Yes we are currently at risk of being deregistered next. It's not the first time we have been here.\n\nBuilding a company is hard. Building one inside Bittensor, with DTAO, TAO flow, and market sentiment all moving at launch, is harder. We underestimated how little time we would have to adjust while live.\n\nIn the last two months, we launched, refined the business model, narrowed the scope, clarified the message, and started customer conversations around a real pain point.\n\nOur positioning is now much clearer: Loosh is a cognition middleware layer that extends the AI stack.\n\nWe are focused on reducing training time, repeated instructions, lost multi session tasks, and high exception rates. The goal is lower supervision overhead, stronger task continuity, and more reliable performance across deployments.\n\nWe were early. In some ways, we still are. But being early is not enough. The work has to translate into clear value under real market conditions.\n\nWe believe Bittensor is the right environment to explore and prove these concepts. At the same time, we do not yet have customers, and without customers we do not have the resources to support buybacks.\n\nLoosh has been bootstrapped from day one. We have made meaningful progress with a small team, but we have also learned hard lessons about incentive design, adversarial environments, and how quickly weak assumptions get exposed.\n\nOver the past week, we had direct conversations about what comes next. We now have a new incentive model in testing. It is a better direction, but it will take time to implement properly.\n\nWe know more now than we did at launch, and the next version of this project will be better because of it.\n\nNow it comes down to time, execution, and whether we get the chance to prove it.\n\nWe are not done yet.",
      "created_at": "2026-04-08T22:08:25-03:00",
      "likes": 67,
      "retweets": 10,
      "replies": 9,
      "views": 10022,
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    {
      "tweet_id": "2040485139860623481",
      "handle": "Loosh_ai",
      "text": "Pressure is part of building.\n\nWe know where we stand, and we know what needs to improve. The focus now is execution: stronger design, tighter incentives, better alignment with the long term direction.\n\nWe are still here.\nWe are still building.\n\nSubnet 78",
      "created_at": "2026-04-04T14:42:22-03:00",
      "likes": 50,
      "retweets": 3,
      "replies": 4,
      "views": 1906,
      "is_retweet": false,
      "is_reply": false,
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    },
    {
      "tweet_id": "2039804175392092533",
      "handle": "Loosh_ai",
      "text": "Subnet 78 is entering its next phase: Evolution.\n\nIt\u2019s been just over two months since launching on Bittensor and we\u2019ve learned a lot. This initial phase taught us about the constraints of the agent framework as well as its weaknesses, bottlenecks, and where it breaks. It\u2019s also shown us where to go next.\n\nWe\u2019re leveling up, starting today.\n\nWhat\u2019s changing:\n-Focus on EEG and emotional inference research\n-Design a Subnet 9-style pretraining competition\n-Introduce multi-round training cycles, with emissions allocated based on validated marginal improvement against benchmark\n\nIn parallel:\n-We\u2019re exploring the use of zk proofs for inference validation\n--Validators confirm inference ran on the specified model\n--Moves toward a compute-based reward system, not just challenge-response\n-If viable, both tracks will run in parallel.\n-If not, we will prioritize pretraining.\n\nIncentives update:\n-90% miner emissions burn introduced\n-Challenges continue, at reduced frequency\n\nThis adjusts rewards to reflect the current quality of outputs, while protecting long-term subnet health.\n\nWhy this matters:\nWe are shifting from early-stage experimentation to measurable, compounding model improvement. This creates:\n-Stronger incentives for meaningful progress\n-Clearer signal in miner performance\n-A more stable path toward production systems\n\nTimeline:\n-30 days \u2192 inference track (research \u2192 rollout)\n-49 days \u2192 pretraining track (research \u2192 deployment prep)\n-60 days \u2192 full subnet upgrade (with testing)\n\nThis is a big shift, and a necessary one.\n\nIt brings us closer to building the cognition layer for real-world robotics.\n\nThat's the challenge. That\u2019s the direction.\n\nSubnet 78",
      "created_at": "2026-04-02T17:36:27-03:00",
      "likes": 51,
      "retweets": 13,
      "replies": 5,
      "views": 4955,
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    },
    {
      "tweet_id": "2039067721447723359",
      "handle": "Loosh_ai",
      "text": "We\u2019ve been saying we\u2019re building.\n\nAs we step into April, it\u2019s time to tick off Q1: memory, agent architecture, and core systems in place.\n\nFrom here, the system starts to expand into personas, inference, and cognition.\n\nStep by step, it\u2019s coming together. https://t.co/80QMoiJJA1",
      "created_at": "2026-03-31T16:50:03-03:00",
      "likes": 57,
      "retweets": 13,
      "replies": 5,
      "views": 3246,
      "is_retweet": false,
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    },
    {
      "tweet_id": "2038987971094081885",
      "handle": "Loosh_ai",
      "text": "RT @Kaffchad: \u25ba TAO's Subnets For The Robotics Era\n\neveryone on CT is talking about $TAO but almost nobody is paying attention to the part\u2026",
      "created_at": "2026-03-31T11:33:09-03:00",
      "likes": 284,
      "retweets": 44,
      "replies": 51,
      "views": 15480,
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    },
    {
      "tweet_id": "2038673994703126564",
      "handle": "Loosh_ai",
      "text": "RT @AgenticToaster: Kicking off Breakout! @bt_commons @SiamKidd @lisacheng @Loosh_ai @ktotheohh https://t.co/ncoId5Vq8h",
      "created_at": "2026-03-30T14:45:31-03:00",
      "likes": 33,
      "retweets": 6,
      "replies": 1,
      "views": 1362,
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    },
    {
      "tweet_id": "2038299964821172681",
      "handle": "Loosh_ai",
      "text": "Hey Bittensor,\n\nWe know where we stand on the deregistration list. We know people want a response. We will be at Breakout tomorrow in person to get more people to understand what Loosh is building.\n\nIn the meantime, we moved fast and executed an OTC deal with a third party to inject additional TAO into the pool at a critical moment. We are grateful to the party involved, who chose to remain anonymous.\n\nIt has been a hard stretch, but we are still here and still building.\n\nWe are actively reviewing the subnet incentive mechanism to make it more robust. V2 is already in testing, and our ROS2 roadmap is waiting on that code because it materially improves model output.\n\nWe have also been in discussion with several high profile robotics companies around a potential pilot. One is currently waiting on benchmarking data.\n\nWe are evaluating next steps carefully, but every serious path keeps bringing us back to the same place.\n\nWe believe in Bittensor.\nWe believe in decentralized intelligence.\nWe are still here.\nWe are still building.\nWe are not leaving.\n\nSubnet 78",
      "created_at": "2026-03-29T13:59:16-03:00",
      "likes": 171,
      "retweets": 20,
      "replies": 14,
      "views": 10898,
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    {
      "tweet_id": "2037923840039473636",
      "handle": "Loosh_ai",
      "text": "RT @Victor_crypto_2: Bittensor Ecosystem Highlights of the Week #54\n\n// SUBNET UPDATES &amp; ACHIEVEMENTS\n\n\u27a4 @TargonCompute SN4\nTargon released\u2026",
      "created_at": "2026-03-28T13:04:40-03:00",
      "likes": 170,
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    },
    {
      "tweet_id": "2037627534800560546",
      "handle": "Loosh_ai",
      "text": "https://t.co/543E9L8XBg",
      "created_at": "2026-03-27T17:27:16-03:00",
      "likes": 37,
      "retweets": 11,
      "replies": 2,
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