Our @Bancor profile is updated with the latest on the platform and its native $BNT token
Bancor is a unique decentralized exchange (DEX) that uses $BNT as the common price token to fulfill pair trades among users and liquidity pools for hundreds of Ethereum + EOS tokens.
Consensus & Emission:
$BNT supply is elastic with Bancor V2.1. The protocol matches liquidity pool token deposits with minted $BNT and burns $BNT when tokens are withdrawn. Users’ $BNT deposits replace minted $BNT to control inflation.
$BNT launched on 6/12/17 in the largest ICO at the time - $153M
The initial 79.3M $BNT supply was allocated to:
50% - ICO Participants
20% - Project team, contributors, investors
20% - Bancor budget
10% - community development
Token Type: ERC-20
Bancor was the first automated market maker (AMM) DEX on Ethereum. The protocol matches $BNT with all pooled tokens to create trading pairs. Users can stake $BNT or any token without unintended asset exposure.
How the Bancor DEX works:
Bancor integrates a series of smart contracts to exchange Ethereum and EOS tokens in liquidity pools. $BNT is minted and connected to each token at a constant ratio so prices reflect supply & demand.
How $BNT/vBNT staking works:
Users supply tokens to liquidity pools for automated trading. $BNT stakers receive $BNT trading fees (and re-stake them for vBNT and 1x leverage) but all users get full coverage against Impermanent Loss after 30 days of staking.
Bancor Governance:
The BancorDAO approves all protocol changes. Decisions are vetted among the community before vBNT holders vote on-chain to enact the improvements.
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This sector has seen explosive growth, with numerous projects now valued over a billion dollars with $230M invested in July 2024 alone.
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First, let's break down some key components in AI x Crypto:
1. Decentralized Compute Networks: Networks of GPUs for model training and inference. 2. Model Coordination Platforms: Incentivizing model development and specialized inference settings.
(continued)
3. AI Tools and Services: Marketplaces for AI models and services. 4. Apps: Consumer and enterprise products leveraging AI models.
Now that we understand the various components, the question remains: what is really going on at the intersection of AI and Crypto?
1/ The crypto space's evolution has necessitated stronger server infrastructure to meet the increasing performance requirements of blockchains and their applications.
@Old_Samster dives into why advanced physical infrastructure is crucial.👇🧵
@Old_Samster @Filecoin @sphere_labs @akashnet_ 2/ Newer chains like @avax and @Solana demand significantly higher processing power compared to @Ethereum.
This has driven validators towards being hosted in data centers, given their increased demand for processing power, low latency, and high uptime.
3/ Decentralized storage networks (DSNs) and compute networks face similar challenges.
Ordinary people contributing idle storage space isn't enough for commercializing DSNs. Data centers become indispensable for low latency and exceptional uptime.
1/ Scalability is a key factor in the crypto space, with the modular approach gaining popularity. However, @Solana has taken a contrarian stance.
@kelxyz_ explains how @jump_firedancer, a validator client developed by @jump_ aims to enhance Solana's monolithic approach.🧵
2/ @jump_firedancer's first milestone, "fd_quic," demonstrated impressive transaction propagation throughput of 1M transactions per second (TPS) in initial performance tests.
But there's more work to be done to achieve the full potential of Firedancer.
3/ If successful, @jump_firedancer could unlock blue ocean markets for the @Solana ecosystem by offering unprecedented throughput, composability, and low costs.
However, challenges in execution, timing, and competition pose risks to its adoption and success.