a16zcrypto
@a16zcrypto
In this episode, we tease apart the hype from the reality of prediction markets, but also go more deeply into the how, why, and where these markets work. We also dig into the design challenges and opportunities (including implications for builders) of these and other information aggregation mechanisms; and more. Where do (and don’t) blockchain and crypto technologies come in? What are some of the most interesting applications, both immediate — like for corporate decisions or scientific replication — and in the near to distant future, across trends like AI, DeSci, futarchy/ governance, and more? Check it out: https://a16zcrypto.com/posts/podcast/prediction-markets-information-aggregation-mechanisms/ w/ @skominers @smc90
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James McComish
@jamco.eth
expanding beyond yes/no markets is an interesting direction. at @onit we've built a mechanism that can encode everything from exact date ranges, to continuous outcomes (price of X etc), it can even add options to the market in real time. it enables markets where users are incentivised to add the correct option first as they get a bonus. and since a single market exists for the question, liquidity is not fragmented across each separate yes/no market. more expressive, more fun, and bigger payouts if right onit.fun/m/0x3E2Ab261bE9eb8B5d4c08c6D353D4f5FBD359C5A
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