Why Kevin Zhou Believes Ethereum Will Have 3 Forks After the Merge - Ep. 381
Kevin Zhou, co-founder of Galois Capital, comes to talk about the possibility of a Proof of Work chain on Ethereum after the Merge, the LUNA death spiral, how he plans to play the Merge, and much more...
Show highlights:
- how Kevin got started in crypto
- what Galois Capital is and what its investment thesis is
- why Kevin was more vocal than most about the possibility of the LUNA death spiral
- whether Kevin made money out of the Terra collapse and what was his strategy
- what the difficulty bomb in Ethereum is
- the potential scenarios that could arise after the Merge
- whether the public is not considering the risks of the Merge
- how the fact that everybody was telling the same narrative about ETH made Kevin suspicious
- how Chandler’s statement about forking Ethereum made it a lot more likely that it would happen
- the groups behind the encouragement of a proof-of-work Ethereum chain
- whether there is a value proposition for a Proof of Work chain
- how Kevin used The Cryptopians to remember how the DAO fork went
- what replay protection is and why it is important when forking a chain
- why anyone would want to keep the difficulty bomb in a potential proof of work chain
- Kevin’s predictions about the market cap of the potential Ethereum forks
- how a proof of work chain of Ethereum would function without the biggest stablecoins like USDT and USDC
- whether Tether is going to support Ethereum 2
- why Kevin writes using metaphors related to history and gaming and how those analogies relate to Ethereum
- how Kevin wanted to “stick it” to the Ethereum Foundation by offering his services
- whether Vitalik trolled Kevin on Twitter
- whether Kevin will apply the same strategy he used with ETC after the DAO fork
Thank you to our sponsors!
1inch: https://1inch.io/
Crypto.com: https://crypto.onelink.me/J9Lg/unconfirmedcardearnfeb2021
Kevin
Twitter: https://twitter.com/Galois_Capital
ETH2
What is the Merge?: https://ethereum.org/en/upgrades/merge/
Proof of Work Chain
Kevin’s analogy: https://twitter.com/Galois_Capital/status/1554053321165512705?s=20
Haseeb’s answer to Kevin’s arguments: https://twitter.com/hosseeb/status/1554163977806000128?s=20
Chandler Guo’s proposal: https://decrypt.co/106409/prominent-chinese-ethereum-miner-wants-to-resist-merge-create-fork
Kevin’s consulting offer: https://twitter.com/Galois_Capital/status/1553090706708856832?s=20
BitMEX researchers on the possibility of an Ethereum PoW chain: https://blog.bitmex.com/ethpow-vs-eth2/
CoinDesk article: https://www.coindesk.com/layer2/2022/08/03/who-will-mine-ethereum-after-its-gone/
Poloniex’s announcement: https://twitter.com/poloniex/status/1555085757450272768?s=21&t=jkjNGieNXdY5SgT2e9xhoQ
Justin Sun’s support of ETHW: https://twitter.com/justinsuntron/status/1555112296006922240?s=21&t=jkjNGieNXdY5SgT2e9xhoQ
Learn more about your ad choices. Visit megaphone.fm/adchoices
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.