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Lido Finance is a decentralized platform that enables users to stake their cryptocurrencies and earn staking rewards while maintaining liquidity through tokenized assets. It is one of the most popular liquid staking solutions in the DeFi ecosystem, supporting multiple blockchains including Ethereum, Solana, and more.
Lido Overview
Lido allows users to stake their assets without locking them up, providing flexibility and liquidity. When users stake their tokens via Lido, they receive a corresponding staked token (e.g., stETH for Ethereum), which can be used in other DeFi protocols, traded, or held for rewards.
Lido Fi
Lido Fi refers to the broader ecosystem of decentralized finance activities built around Lido’s staking tokens. It includes yield farming, liquidity pools, and integrations with various DeFi platforms, enabling users to maximize their crypto assets' utility.
Lido Staking
Lido staking involves depositing supported cryptocurrencies (like ETH, SOL, or others) into the Lido protocol. In return, users receive staked tokens that accrue staking rewards over time. This process is designed to be user-friendly, secure, and accessible to both individual and institutional investors.
Lido Finance ETH Staking
Lido Finance ETH staking is one of its flagship features, allowing users to stake ETH without needing to run a validator node. By staking ETH through Lido, users receive stETH, which represents their staked ETH plus accrued rewards, and can be used across DeFi applications.
Lido Finance Crypto
Lido finance crypto encompasses the native tokens (like stETH for Ethereum, stSOL for Solana, etc.), governance tokens, and other assets within the Lido ecosystem. These tokens facilitate staking, liquidity provision, and governance participation.
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Dauner explained. “But this just makes their responses even longer, expending more energy to generate each word.”
For this reason, Dauner suggests users be more straightforward when communicating with AI models. Specify the length of the answer you want and limit it to one or two sentences, or say you don’t need an explanation at all.
Most important, Dauner’s study highlights that not all AI models are created equally, said Sasha Luccioni, the climate lead at AI company Hugging Face, in an email. Users looking to reduce their carbon footprint can be more intentional about which model they chose for which task.
“Task-specific models are often much smaller and more efficient, and just as good at any context-specific task,” Luccioni explained.
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If you are a software engineer who solves complex coding problems every day, an AI model suited for coding may be necessary. But for the average high school student who wants help with homework, relying on powerful AI tools is like using a nuclear-powered digital calculator.
Even within the same AI company, different model offerings can vary in their reasoning power, so research what capabilities best suit your needs, Dauner said.
When possible, Luccioni recommends going back to basic sources online encyclopedias and phone calculators to accomplish simple tasks.
Why it’s hard to measure AI’s environmental impact
Putting a number on the environmental impact of AI has proved challenging.
The study noted that energy consumption can vary based on the user’s proximity to local energy grids and the hardware used to run AI models.
That’s partly why the researchers chose to represent carbon emissions within a range, Dauner said.
Furthermore, many AI companies don’t share information about their energy consumption or details like server size or optimization techniques that could help researchers estimate energy consumption, said Shaolei Ren, an associate professor of electrical and computer engineering at the University of California, Riverside who studies AI’s water consumption.
“You can’t really say AI consumes this much energy or water on average that’s just not meaningful. We need to look at each individual model and then (examine what it uses) for each task,” Ren said.
One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested.
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Curve Finance is a decentralized exchange (DEX) optimized for stablecoin and low-volatility asset trading. Known for its efficient liquidity pools and low slippage, Curve has become a cornerstone in the DeFi ecosystem for stable asset swaps and liquidity provision.
Curve Fi
Curve Fi refers to the platform's core protocol that enables users to swap stablecoins and other similar assets with minimal slippage and low fees. It leverages specialized liquidity pools to facilitate efficient trading.
Curve Finance Crypto
Curve finance crypto encompasses the native tokens (such as CRV), liquidity provider tokens, and other assets within the Curve ecosystem. These tokens are used for governance, staking, and earning rewards.
Curve DeFi
Curve DeFi describes the broader decentralized finance ecosystem built around Curve’s liquidity pools and protocols. It includes yield farming, liquidity mining, and integrations with other DeFi platforms like Yearn, Convex, and more.
Curve Finance Liquidity Pool
A Curve liquidity pool is a smart contract that holds assets like stablecoins or similar tokens, allowing users to deposit and earn fees or rewards. These pools are optimized for low slippage and high efficiency, supporting large trading volumes.
Curve Finance Borrow
While primarily known for liquidity provision and swaps, Curve also supports borrowing mechanisms indirectly through integrations with lending protocols like Aave or Compound, where users can collateralize assets and borrow against their liquidity pool tokens.