Tor Bair of Secret on Why Private Smart Contracts Are Important - Ep.286
Secret Network is a privacy-first, permissionless layer 1 blockchain built for computational privacy. Tor Bair, founder of Secret Foundation, a developer of Secret Network, discusses what makes Secret Network unique, including smart contract privacy, private metadata for NFTs, and how regulators should treat privacy tech in blockchain. Show highlights:
- how Tor fell down the crypto rabbit hole
- what the Secret Network is and how it is bringing privacy to blockchain
- why public blockchains are problematic
- what makes Secret Network different from Monero or Zcash
- how Secret Network works from a technical perspective
- what type of applications Secret Network can support that public blockchains cannot
- why blockchain voting is probably a bad idea (for now)
- what attack vectors exist regarding Secret Network
- how Secret Network nodes work and why there are only 50 of them
- how Secret Network fixes miner extractable value (MEV)
- what DeFi applications are possible on Secret Network
- how NFTs on Secret Network are different from public blockchain NFTs
- how regulators should treat Secret Network
Thank you to our sponsors!
Crypto.com: https://crypto.onelink.me/J9Lg/unconfirmedcardearnfeb2021
Nodle: https://bit.ly/3AXGydJ
Episode Links
Tor Bair
- Website
- Medium
Secret Network
- Primers
-
- Messari:
- Decrypt:
- Coin Monks:
- Tech Crunch:
- Introduction from Enigma/Secret
- Tech
-
- Smart contracts → Secret contracts
- Upcoming Supernova upgrade (November 9)
- Secret NFTs (only the holder can view the NFT)
- SCRT Tokenomics
- Secret Network block-explorer/node explorer
- Ecosystem
- Graypaper
- Node information
Enigma
- Original ICO
- Research
- Enigma token swap
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.