44 / Dirtyhash

Discover the risks and potential applications of recommendation tokens in the world of growing US regulations with guest speaker Amit Verma from Dirtyhash.com.

Timeline

00:40 Welcome

00:43 Special guest Amit

02:23 Today's anti-fraud environment

02:59 What happens when you get blocked?

04:55 What about false flags?

07:00 Using ML

08:06 Set up a DAO?

08:44 Insurance product

10:33 Just do it using a real bank

11:06 MONEY QUOTE

14:18 Hacking the TOS and Privacy Policy

23:06 Wrap up

24:26 What was your motivation?

25:35 How long you been at it

27:53 Does it have OFAC list?

29:24 Other scam data sources

31:46 A new model for business models

Participants

Episode notes

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Guest speaker Amit Verma, www.dirtyhash.com
Good timing for something like DirtyHash, due to growing US regulations
- Lots of exchanges getting calls from OFAC
- OFAC only releases lists every month, unable to deal with zero days
Risks of misuse
- False flag operations
“Black” list, “white” list, “grey” list
DirtyHash aims to be a recommender
- Possible applications of recommendation tokens / soulbound tokens
Insurance idea
- Risk scores can be used for insurance down-the-line
- Could get flagged for money laundering
“We should be using the ideas, but not necessarily the technologies”
“The point of money is to spend it, not to program it.”
DirtyHash review
Data sources
- Uniswap listed addresses? other repositories
- Using different sources today
- Considering using Etherscan, Bitcoin talk forum
Levenstein (sp?) distance
- Detects similar Twitter handles