81 / Bunnies thesis & Remix
Essential features you need to know

Essential features in Remix that users may not know about with Rob Stupay and a deep dive into OnChainBunnies research by Axelle Moortgat including optimizations and strategies for random ID generation.

Timeline

00:00 Intro

00:28 OnChainBunnies

01:16 Loot algorithm

02:27 Solidity optimizer

03:32 Memory data

03:39 Traits encoding

05:13 Stumbled on insiders

07:09 Random, no dupes

09:34 How to hack random mints

13:44 Remix

13:44 OnChainBunnies

17:17 Never deploy for your clients

Badges

@fulldecent

William Entriken Stayed to end

@dtedesco1

Daniel Tedesco Stayed to end

@037

AKM Stayed to end

@Legend

??? Stayed to end

@axellemoortgat

Axelle Moortgat Stayed to end

@TheMiamiApe

??? Stayed to end

@Remix

Remix Project Stayed to end

@ryestew

Rob Stupay Stayed to end

@SBU_HoneyRadio

??? Stayed to end

@jhinnbay

??? Stayed to end

@rocsolmiami

??? Stayed to end

@retromort

??? Stayed to end

@H_T_V_

??? Stayed to end

@StackieRobins0n

??? Stayed to end

Episode notes

• OnChainBunnies research
• How NFT randomness works

• Axelle Moortgat: OnChainBunnies research
  • Optimizations
    • Generation instead of storage (Loot generation, SVG)
    • Optimizer
      • Solidity gets translated to opcode by EVM
      • SSTORE is the most expensive opcode
    • Memory data
      • Storage options: Storage data, call data, and memory data
      • Every time you ask for memory data, code is read, data is declared, and data is deleted
    • Bitfieldencoding
      • How to store the IDs?
      • Use bits for every trait
      • Bitfield operations are very cheap
      • Store one integer and get all the data once
  • Random ID generation
    • Uncovered insider trading
      • Developer knows which IDs have which traits and will tell friends
    • How to prevent this? Need to reveal IDs randomly
    • Need a random number, but this is hard on blockchain
    • Some ways
      • Timestamp
      • Miner address
      • Who will be next validator
      • Combination of these to generate a random number
    • Still need to figure out how to generate the IDs as a result
      • Pick numbers in an ascending order
      • Random ID picking algorithm
      • ID revealed at mint
      • Tradeoffs: Can abort transactions if you don’t like what you minted
    • “Randomness can be controlled by sandwiches”
    • Randomness https://blog.phor.net/2022/02/04/Randomization-strategies-for-NFT-drops.html
• Remix Project
  • https://remix.ethereum.org/#lang=en&optimize=false&runs=200&evmVersion=null&version=soljson-v0.8.20+commit.a1b79de6.js&language=Solidity
  • Get your NFT drop by joining as a beta tester at https://docs.google.com/forms/d/e/1FAIpQLSd0WsJnKbeJo-BGrnf7WijxAdmE4PnC_Z4M0IApbBfHLHZdsQ/viewform

1. Community Service Hour episode 81 featuring @axellemoortgat @OnChainBunnies @ryestew

   Key points for efficiently putting image-NFTs on chain

   And things you might not know about Remix IDE

2. Best practices for generating the images when needed ON-CHAIN, and minimizing storage (SSTORE) use.

3. “Randomness can be controlled by sandwiches” // @legend has the official framed book note for this!

4. See also our article https://blog.phor.net/2022/02/04/Randomization-strategies-for-NFT-drops.html about all the tradeoffs

5. Check out Remix at https://remix.ethereum.org and now I can see all this documentation that was always there. Here is where to find it…

   [[ PHOTO ]]

6. Get your NFT drop by joining as a Remix beta tester at [https://docs.google.com/forms/d/e/1FAIpQLSd0WsJnKbeJo-BGrnf7WijxAdmE4PnC_Z4M0IApbBfHLHZdsQ/viewform

   ](https://docs.google.com/forms/d/e/1FAIpQLSd0WsJnKbeJo-BGrnf7WijxAdmE4PnC_Z4M0IApbBfHLHZdsQ/viewform)Is this the first official Ethereum Foundation sanctioned NFT drop?