Openτensor Foundaτion

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Openτensor Foundaτion

Openτensor Foundaτion

@opentensor

Incentivizing intelligence

Katılım Haziran 2021
1 Takip Edilen173.4K Takipçiler
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NIOME
NIOME@NiomeAI·
Proud of NIOME journey and all we won to date: - Partnered with Scottish government. - Incubated by Yuma, DCG - Winner of MIT EDP 2026 - Strategic Partner of AMD - Winner of Deloitte Tech Fast 50 Challenge Award - Incubated by ConsenSys And so much more to come! 🚀
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Synthdata
Synthdata@SynthdataCo·
Today we’re launching Synth LLM for Traders on @Polymarket @trylimitless @HyperliquidX @DeribitOfficial and more This is the first ever LLM-native interface for turning live Monte Carlo forecasts into custom statistics, charts & example trades QT for a chance to win Pro access
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Zeus | SN 18
Zeus | SN 18@zeussubnet·
Zeus vs ECMWF IFS & AIFS. The best models on Earth. Every step, lower RMSE (higher accuracy). No exceptions. Temperature (2m), 15 days out.
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babelbit.ai
babelbit.ai@babelbit·
Here's what we've been working on and where we're going... Q1: foundation complete ✅ Live demos showing interpretation in action. New incentive mechanism rewarding verified performance. Miners competing on #SN59. Q2 is where it gets interesting - feature-specific contests, new language training, early adopter partnerships. Let's build.
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Affine
Affine@affine_io·
New Champion Affine-IV after a new week. Significant improvements: • TERMINAL: +12.3% • MEMORY: +7.0% • LIVEWEB: +3.1% While all envs show no regression. Four champions and each one stronger than the last. Affine arena never closes and model evolution never stops.
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Oro
Oro@oroagents·
Full podcast with Ala Shaabana (@shibshib89), co-founder of Bittensor, and Shardul Bansal, co-founder & CEO of Oro, is LIVE. Watch them discuss how Ala came to co-found Bittensor, Shardul’s early involvement with Bittensor right at the protocol’s very inception, which problems are best solved by open-source AI, truth and AI models, and much more.
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Minos
Minos@theminos_ai·
When Minos went live, FreeBayes, one of the most popular genome analysis tools, quickly started outperforming the competition. At first it looked like it was simply better. However, the network found it was overcalling by flooding genomic regions with excessive mutation calls to boost its score randomly, not accurately. This exposed a real limitation. Widely used genomic tools had never been tested under adversarial pressure, as most rely on rule-based systems that break in unmeasured ways. Minos is building infrastructure to stress-test these tools, expose their failures, and train the next generation of robust AI genomic models.
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DCG
DCG@DCGco·
At #MIGlobal, @BarrySilbert shared his hope that the future of AI is decentralized: “Having a token, in the case of Bittensor something called $TAO, serves as this amazing mechanism to enable anybody in the world to compete, to participate, to monetize intelligence to power AI”
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WallStreetBets
WallStreetBets@wallstreetbets·
damn @resilabsai is building a real estate subnet on Bittensor 128 $TAO subnets live and they’re getting way more serious than people realize real estate is a $400T+ market basically untouched onchain watching this one 👀
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R.L. ₿ryer
R.L. ₿ryer@rBryer23·
I've been studying bittensor for the last 2 months or so - 4-6 hours each day. This ecosystem may be the most interesting experiment in the history of free-markets. This is EXACTLY how it felt in the early days of bitcoin. It was hard to understand but you'd come across some of the most interesting ideas / people and everyone was working towards a common aim [the separation of money and state]. With 128 subnets on the bittensor network - each defining their own market, miners competing for the highest value output, and validators subjectively evaluating what is good work - the architecture is arguably even more capitalistic in 'nature' than bitcoin. 🤯
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Bittensor is being used to make drugs @metanova_labs is using #SN68 to accelerate drug R&D, with better early-stage candidate selection Their incentive mechanisms target three areas: - small molecule discovery - nanobody design - algorithmic search over chemical space
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Keith Singery
Keith Singery@KeithSingery·
Anyone got the novelty search recording from yesterday?
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Yuma
Yuma@YumaGroup·
Check out TaonSquare, where builders can explore all the AI tools powered by Bittensor. Review subnet capabilities, pricing, API details and more, or let your agents do it via MCP. TaonSquare.com
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Ridges AI | SN62
Ridges AI | SN62@ridges_ai·
Ridges Q2 2026 - 2 Week Roadmap Four things we're shipping: BYOK - miners bring their own key and pay for their own inference during eval. Makes cost accurate and puts skin in the game. Screener auto-scaling - screener nodes scale up and down with demand. More throughput, less bottleneck. Variance reduction - increasing problem count and modifying scoring between runners. Rankings get more accurate, noise goes down. Infinite SWEBench (Synthetic Bench) - benchmark problems sourced from a synthetic generation pipeline built on real PRs. No more gaming public datasets. Focused two weeks. More soon.
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Hippius
Hippius@hippius_subnet·
🚀 Hippius milestone this month: 100 TB of egress served across the network. AWS S3 would've billed ~$8,000 in bandwidth. Hippius billed $0. Egress is free. Always. The cloud tax is optional. #SN75 #S3
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Sami Kassab
Sami Kassab@Old_Samster·
The answer to getting investors re-interested in allocating to crypto tokens is not "do nothing" there are fundamental flaws in this asset class that need to be addressed, and Conviction is the first mechanistic solution I've seen proposed
Chris Davis@capradavis

Conviction mitigates risk, making subnets more investible. When more capital enters the eco... >Subnet token prices go up. >Greater upside for subnet owners. >Registering a subnet becomes more attractive. >More talent enters. >More talent attracts more capital. >🔄

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