The Uniswap committee will evaluate eight bridges and three bridge-agnostic solutions.
The committee will recommend a suitable bridge selection framework for future cross-chain deployments.
The committee will evaluate eight bridge providers, namely Axelar, Celer, deBridge, Hyperlane, LayerZero, Multichain, Router Protocol and Wormhole. Bridge providers enable users to transfer crypto tokens across different networks.
The committee’s stated goal is to provide short-term recommendations for the DAO concerning crypto bridges. These recommendations will be used in future cross-chain deployments.
The need for the committee arose amid intense debate during a recent governance process to deploy Uniswap v3 on the BNB Chain. Some community members faulted the selection of only one bridge provider for the proposed deployment.
The process eventually ended with Wormhole chosen as the sole bridge solution.
Excuse me while I die laughing 😂
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🎙️ Thought an explanation was in order how listings work at a platform like @UpholdInc
1. Unlike exchanges, we don’t charge for listing. We pick what I and my team think is worth the effort
2. We contact the project team, speak to the owners, do a full background check, social media investigation, due diligence etc. that takes time and money
3. We prepare a dossier and send it to tech and finops checking feasibility (ERC20 is easier than a new blockchain for example)
Resources are limited and remember this is our expense
Japan Goes Big on Metaverse With Japan Metaverse Economic Zone
Several Japanese tech and finance companies have kickstarted the launch of one of the biggest metaverse initiatives in Japan.
On Feb. 16, JCB, Mizuho Financial Group, Sumitomo Mitsui Financial Group,
Mitsubishi UFJ Financial Group, Resona Holdings, Sompo Japan Insurance, Toppan, Fujitsu, and TBT Lab signed an agreement to create what they called the Japan Metaverse Economic Zone, an open multipurpose metaverse platform in a virtual world called Ryugukoku,
The U.S. Securities and Exchange Commission late Thursday released a 55-page document detailing various charges of fraud against Do Kwon and Terraform Labs, the company Kwon founded to develop the Terra blockchain. Broadly, the SEC alleges
that Kwon and others “engaged in a scheme to deceive and mislead investors … in the U.S. and abroad.” Indeed, the SEC’s findings paint a much clearer picture of the entire Terra system as a fraud, one just as elaborate and calculated as Sam Bankman-Fried’s FTX,
and contain a number of major revelations about claims that were previously merely suspected or entirely unknown. Here are four of the most important discoveries.
How to get $BLUR airdrop for free. An autopsie: (@WuBlockchain)
Twitter user FreeBlock shared his experience of earning millions by participating in the third round of Blur’s airdrop program through various bidding strategies in a scientific manner.
1 By monitoring the memory pool, if there is an offer transaction that accepts his bid, he will use higher gas fees to withdraw the bid account balance, causing the transaction to fail (high feasibility);
2 With the restriction that #NFTs cannot be traded within 3 hours of going live on Blur, bids can be confidently placed (not a key strategy);
🐩 Dog-themed memecoins have learned a new trick for pumping their token: burning worthless tokens and shouting about it.
How did we get here: It all started with $Floki Inu. It burned nearly 5 trillion tokens, which it claimed were worth $100 million
•Yet these tokens were effectively outside of the circulating supply because they only existed to allow liquidity for cross-chain swaps.
•As a result, burning these tokens had no impact on the supply of tokens available for trading.
What now: Well Floki's marketing strategy is starting to attract copycats. Another dog-themed memecoin, Volt Inu, has implemented the same strategy.
You know regulation by enforcement in the US? Like what Gary does ? In Europe they have regulation by outrage and its bizarre :
The EU will effectively ban #ChatGPT and other generative AI models through its “AI Act”
As these models fall into the “high risk” category, they’ll face infeasible technical requirements (“bias-free training data”, “error-free training data”, “complete training data”, etc.).
ChatGPT generates texts, nothing more. It’s not a threat to health and safety! That’s why it doesn’t make any sense to classify generative AI models as “high risk”.