🧵 #Bittensor transformstion: Subnet tokens & decentralization

The new announcement created a lot of stir - but the introduction of subnet tokens within each subnet revolutionizes the way weights are set and does enhance decentralization. Let's dive into what this all means
$TAO 2) Validators Have a 'set and forget' method for weight setting, leading to inefficiencies and a lack of active engagement.
New update fixes it with validators acquiring specific subnet tokens to set weights.
This allows active participation, ensuring evaluation of subnet value.

Autonolas vs #Bittensor🧵

At the intersection of #AI and #BLOCKCHAIN, these two 'game-changers' have caught attention of many in twitter community.
My recent comparison on #autonolas vs #Chainlink:

Now my 2 cents on these two #AI protocols
$OLAS $TAO

https://twitter.com/ProfFahdKhan/status/1700868204242079827?t=nMP1IvO8cj8c2EpgQ0EVHQ&s=19

#Bittensor at its core aims to incentivize intelligence building. With a decentralized ML protocol, it provides nodes rewards for processing data and ensures an ever-evolving intelligence in its network
While #Autonolas aims to serve as the beacon in #Web3 infrastructure..
$TAO

🧵 #chainlink vs #autonolas

@chainlink is primarily an oracle service whereas @autonolas focuses on off-chain computations with specific emphasis on integrating #AI in a decentralized manner.
Both operate in the same #Web3 space, addressing different challenges:
$LINK $OLAS 2) #chainlink- the gold standard for #decentralized oracles. Its primary goal? Bridging real-world data to smart contracts. No more siloed blockchain data, @chainlink ensures that smart contracts get accurate, tamper-proof info from the external world.
#autonolas $LINK $OLAS

🧵 Understanding @autonolas $OLAS

1) #autonolas isn’t just another #Web3 platform. It's THE infrastructure enabling off-chain processes in a decentralized way.

As we move towards true decentralization, this will be indispensable since it addresses a massive challenge: 2) current #DeFi systems aren’t truly decentralized. Why? Complex computations and smart contracts can't scale. Autonolas provides the infra to make #WEB3 actually decentralized & autonomous AND incentivizes devs to create and manage intricate autonomous services easily
$OLAS

1) Large Language Models #LLM are the beating hearts that power so many amazing artificial intelligence tools that have cropped up recently. Whether it’s #ChatGPT or #DALLE LLMs are revolutionizing how humans interact with computers. #LLMs #AI #BittensorLLM 2) So what are #LLMs? They are software that understand language very well & uses that understanding to take a certain action. The most common actions that LLMs provide are generating content, finding information, conversing or helping organize data. #AI #MachineLearning

A thread 🧵

1) Introducing Proof of Intelligence - a groundbreaking consensus mechanism used in the #Bittensor network that rewards valuable nodes contributing high-quality #MachineLearning models. It's designed to incentivize efficiency and collaboration within the network. #AI 2) Unlike traditional consensus mechanisms like #PoW & #PoS, #ProofOfIntelligence relies on nodes performing #MachineLearning tasks instead of solving complex math problems. This ensures more valuable participants are rewarded for their intelligence with $TAO tokens.
#blockchain

A thread 🧵
1) Big players like #Google #Microsoft & #IBM as well as smaller companies will turn to $TAO and the #Bittensor network for their #AI projects. Why? The centralized AI industry struggles with inefficiencies & @bittensor_ offers a powerful solution. #DecentralizedAI 2) Its reported that #Google alone spends 75% of its electrical cost on machine learning! As #AI research continues to grow exponentially, new models end up relearning what previous models already knew - a costly and time-consuming process.
#MachineLearning #deML