🔮 We Need to Talk - AMA This Week!
It’s been a whirlwind start to the year with game-changing updates:
OpenServ Agent Framework SDK
Tokenomics v2
DevNet LIVE
New AI research collaborations
Big Web3/Web2 partnerships/integrations
$100K Hackathon
Tax removal
and a Rebrand!
There’s a lot to unpack, set your reminders.
📅 When: Friday, Jan 31, 16:00 UTC
📍 Where: https://t.co/lfzcm51O50
When it comes to regulated assets and tokenized #RWA's..
Platforms like @DefiLlama have a narrow, outdated framework for TVL
This is why $RBNT current TVL looks understated
The $74 billion worth of assets secured by $RBNT is 100% legit.. but these platforms fail to account for regulated and sophisticated asset tokenization..
Leaving the true scale of #Redbelly's dominance in #RWA misrepresented
https://t.co/L03bUNMG1B and https://t.co/JVhZ5maTLN are already evolving their standards for measuring TVL accurately..
It's time @DefiLlama does the same 👍
$RBNT
Bittensor $TAO helps leverage economic incentives and decentralized networks for open and accessible #AI development. Learn more about how Bittensor works and how it aims to promote equitable AI development.
Read the $TAO Building Block: https://t.co/2f7PD3pqjh
$TAO's Fusion Engine for Intelligence Subnet⚡️
In nuclear fusion, energy is generated by balancing the energy produced and the energy lost, a self-sustaining reaction.
Coming subnet will take in computational effort (like training AI models) and generate exponentially more value in return, creating a feedback loop➰️
Every bit of effort (computing power, mining, and contributions) leads to innovation, which in turn creates even more opportunities for progress. It's a cycle where $TAO fuels this system, and the output grows far beyond the input. Turning effort into results 🧠
DeFAI fully integrates agents into the DeFi sector rails and even though we're still early, projects leveraging it will soon account for 80% of human-driven DeFi usage.
DeFAI agents need Data (which we at Market Compass are specialists in👀) and a proper understanding of user command + DEFI integration
$TAO is tackling the core challenges in machine learning, from optimizing data collection to faster inference, aiming to outperform giants like OpenAI and Microsoft. With a focus on computational efficiency and robust models, the race is on.
.@const_reborn believes Bittensor will outpace centralized machine learning labs, becoming the go-to hub for efficient problem-solving in data collection, benchmarks, and AI training. As competitors emerge, $TAO aims to remain the Schelling point for digital commodity systems.