Discover and read the best of Twitter Threads about #Bittensor

Most recents (9)

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 Image
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
3) @bittensor_ network measures contributions by calculating individual scores, which are then used to assess the value & achievements of each participant. The goal? Encourage cooperation and discourage malicious activities.
$TAO #AI #blockchain
Read 5 tweets
Do you want to try and query the Bittensor $TAO Prompt Network?

There are already multiple apps on top & API access as well.

Let's just take two to make this concise:

Bitapai,
& Chat with Hal.

Also, a sneak peek of upcoming app at the end.

A short tutorial thread 👇

1/8 Image
2/8

@chatwithhal is a chatbot developed recently & to be integrated w/ social media apps.

Currently, it's on Discord.

How to?

1. Join its Discord discord.gg/rUSevPzwWQ
2. Write in general chat: /chatwithhal.
3. It will give you a question line.
4. Write your prompt & send.
3/8

Here's an example I just tried.

👇 ImageImage
Read 8 tweets
🚨 $TAO Update

➡️ Ruchy cenowe i emocje inwestorów

➡️ $TAO przebija się do mainstreamu

➡️ Market Maker

➡️ Nowe aplikacje ( IMG to IMG , nostr)

#TaoUpdatebyOLI
#bittensor
#ArtificialIntelligence
#MachineLearning
1️⃣ Trochę o EMOCJACH:
Ostatnio pisałem o spadku ceny i co było tym spowodowane.
Możesz przeczytać m in. Poniższy post👇

Mieliśmy wylew negatywnych emocji.

Jedni siali FUD.
Drudzy płakali bo zainwestowali na górce.
Trzeci podśmiewali się z projektu.

2️⃣ Na tg Community $TAO dało się wyczuć duża niepewność nowych inwestorów.
Na TT zaczęły pojawiać się ironiczne posty z cyklu 'Tao - przyszłość AI' itp.

Wszystkich łączyło jedno - brak dostatecznej wiedzy o projekcie🤷🏻‍♂️

Jeśli nie wiesz w co inwestujesz - nie inwestuj🚨
Read 18 tweets
⬇️Vision & FirstTensor Validator Announcement⬇️

🧠At FirstTensor, our mission is to bring unparalleled value to our $TAO delegators, especially to the Neuron holders.
🔝We aim to take this Validator from the start, all the way to the top of the world's biggest Neural Network, and make something awesome together with the help of our community.
🙏Thanks to our amazing Neuron holders, we have approximately 23-25k $TAO ready to be delegated to FirstTensor! With just 300 Neurons sold, we can already rank among the top 50 Validators.
We're thrilled to announce that we're boosting up the rewards for our early adopters!
Read 8 tweets
Inspired by Bittensor network, the Neural Cluster contains a collection of 4096 Neurons. Their main purpose is to fund our Validator and to separate the holders from non-holders.

A thread 1/9👇

🌐firsttensor.com
$TAO #Bittensor
Each Neuron has the ability to bring a higher APR to their owner for life.
By owning a minimum of 3 Neurons, the owner is eligible to receive the maximum APR. This is similar to running a Validator on your own, without incurring the specific costs associated with running a node.
Furthermore, the Top 100 holders will have the opportunity to both receive 50% of the Validator's profits based on the number of Neurons they own and have access to our fine-tuned models (allowing them to mine TAO).
Read 22 tweets
Firsttensor is the 1st Bittensor Validator powered by the people.

Step into the world's most innovative AI universe with Firsttensor and unlock limitless possibilities. Be part of our journey towards an exciting future.

👉firsttensor.com
#Bittensor $TAO
1 - The Benefits

By using the Firsttensor Validator, you can stake your $TAO tokens to earn the highest APR possible / gain access to our fine-tuned models / receive 50% of our Validator rewards!
2 - The Goal

Our goal is to become the leading Validator in terms of benefits for our delegators, starting from the max APR to mining TAO with and for our delegators!
Read 13 tweets
1/25)Bittensor可能是有史以来最雄心勃勃的AI项目,它不但尝试在一个类似比特币网络上建立世界上最有效和最大的神经网络,并且已经在测试一个ChatGPT的去中心化对手ChatTensor。无论成功与否,它都让我兴奋。
以下是本文的目录:#Bittensor $TAO
2/25)Bittensor是一个去中心化的人工智能网络,它通过利用区块链技术的安全和透明特性来协调分布式计算能力,以支持运行更大规模、更复杂的人工智能模型。Bittensor其愿景是成为去中心化的世界上最有效和最大的神经网络,或者说是去中心化的“OPENAI”:
3/25)二、中心化AI与去中心化AI
ChatGPT让OPENAI估值如火箭般上升(最新一轮估值约300亿美元),但马斯克却失望了—因为OPENAI从开源的公益组织退化成了闭源的商业公司。但我们从Bittensor看到了去中心化“OPENAI”的影子,他们也代表着去中心化AI与中心化AI的漫长战争拉开序幕,就像BTC与国家货币的战争
Read 26 tweets
With the impressive rollout of #ChatGPT, the entire world has taken notice

It’s an eerie experience speaking with the #AI trained on GPT-3, @OpenAI’s private neural network

While amazing, I fear yet another groundbreaking tech will be in centralized hands

Enter @bittensor_…🧵
1/ AI Basics

I’m no expert in artificial intelligence, but I’ve spent hours reading up and was lucky enough to speak with @unconst1 and @DoctorM_DO whose passion is palpable

In this thread we’ll talk the basics of AI, the threats of centralization, and where #Bittensor fits in
2/

Let’s start with #OpenAI so we can translate their structure to Bittensor’s model

Open AI is the company behind the last 3 iterations of #GPT

GPT is the neural network, essentially a fine tuned artificial human brain, which is the infrastructure that apps are built on
Read 16 tweets
1) In today's market it's increasingly difficult to select high quality cryptocurrencies.

Most fade away and as such we need to search for the best fundamentals.

A thread on $TAO and why you should take a look at this cryptocurrency.

Read on 🧵👇

@bittensor_ #Bittensor #Tao
2) The centralized AI industry is highly ineffective.

Google alone spends 75% of their electrical cost only for machine learning today.

The usage of an advanced machine learning model costs more than 10 Million dollars per hour.
3) AI research in general hasn't progressed like we thought it would.

New models basically always need to relearn what previous models already learned.

These are problems we would like to see solved.
Read 18 tweets

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