1/The next major problem set in #DeFi is #NFTLiquidity.

It has become very clear that, like fungibles, nonfungibles are their own financial asset class.

One path to see this is to envision the future of NFTs as “liquid

2/Some say that NFTs “shouldn’t be” liquid, yet the innovation process continues.

Just like photography has become much easier to create in the last 100 years, liquid NFTs will surely bring down price points of tokenized digital content but will also open expansive new markets.
3/The key observation is this: #NFTLiquidity is merely a technical problem for #DeFi, and the entire set of economic mechanisms is its solution space.

👉🏻 In particular, because of tokenization, *the NFT liquidity problem reduces to the NFT price discovery problem.*
4/In other words, if we could reliably price a set of NFTs, we could issue a token backed by their reliably priced future resale value.

This is a core mechanism that today is underutilized in the market, and one that — we will soon see — applies to all illiquid assets.
5/Today, NFT price discovery proceeds via three main mechanisms: sales, auctions, and ERC20 fractionalization.

And the fundamental problem with each of these mechanisms is capital efficiency: in each mechanism, participants need to spend *at least* $N to value something at $N.
6/If we could find a mechanism which could appraise any NFT for a fixed price (or just a low one!) we could achieve capital efficiency, tokenize the value of the assets, and 💥💥💥 boom we are liquid.
7/This appraisal mechanism can essentially be implemented using prediction markets, oracles, appraiser networks, or ML models.

But one super cool approach uses peer prediction oracles created by @nick_emmons and @UpshotHQ. https://t.co/HleEMPpgcq
8/In this model, a “hot or not” game is played by appraisers who continuously compare and rank NFTs. Eventually, this ranking places the NFTs into a partial ordering which can be calibrated to price.

Prices can then be reported on-chain through @UpshotHQ’s mechanism.
9/Read more on this approach here.

https://t.co/wrcDl1L2LV
10/These kinds of #AppraisalGames will go a long way toward achieving liquidity for the NFT asset class and can extend into other illiquid assets — used cars? Homes?

This is just the beginning but we’re about to go into yet another exciting innovation cycle of #NFTLiquidity.
/end

cc @NFTX_ @nftfi @rariblecom @UpshotHQ @opensea @fluxprotocol @NFTbank_ai @mike_bosworth @nick_emmons @DrNickA @sbmckeon @AsyncArt @sambrukhman @dapperlabs @rohamg @DavidVorick @alexgausman @arkgalleryDAO @FLAMINGODAO @pridesai @Mable_Jiang @jessewldn @AndrewSteinwold

More from Internet

Many conversations happening on #WhatsApp (WA) groups about new #WhatsAppPrivacyPolicy .
This thread has arguments to help ditch WA & move to @signalapp:
https://t.co/En4fe9VxUN
Share, use, copy-paste, modify with understanding as you deem fit on any platform in whole or part
1/n

Note: No affiliations, conflict of interest
Info presented with NO bias, prejudice, malice or indemnity.
Open to corrections: individual tweets may be deleted, tweets added to thread or corrected as replies.
Points that are unclear or uncertain are marked with "(?)".
2/n

CONTENT OF WA MESSAGES SHALL REMAIN ENCRYPTED END TO END.
BUT, there's data: contacts, group affiliations, co-affiliations, locations (live?), frequency of contacts, *tags* generated when we send or forward a message or file to contacts or groups, links, clicks on links, etc.
3/n

It is unclear whether this data is anonymized.
NOTHING in latest policy *prevents* the collection, retention, sharing or sale by FaceBook (FB: owner of WA) of this data in part or whole whether with identifying information or anonymized.
Meme source:
https://t.co/nMDTUlb0rl
4/n


Companies need to make money & generate profits:
To create software, install & maintain infrastructure.
Google, FB, Insta, Amazon etc sell data created from our content & data generated from our interactions (searches, clicks, purchases etc).
This makes many uncomfortable.
5/n
There are lots of problems with ad-tech:

* being spied on all the time means that the people of the 21st century are less able to be their authentic selves;

* any data that is collected and retained will eventually breach, creating untold harms;

1/


* data-collection enables for discriminatory business practices ("digital redlining");

* the huge, tangled hairball of adtech companies siphons lots (maybe even most) of the money that should go creators and media orgs; and

2/

* anti-adblock demands browsers and devices that thwart their owners' wishes, a capability that can be exploited for even more nefarious purposes;

That's all terrible, but it's also IRONIC, since it appears that, in addition to everything else, ad-tech is a fraud, a bezzle.

3/

Bezzle was John Kenneth Galbraith's term for "the magic interval when a confidence trickster knows he has the money he has appropriated but the victim does not yet understand that he has lost it." That is, a rotten log that has yet to be turned over.

4/

Bezzles unwind slowly, then all at once. We've had some important peeks under ad-tech's rotten log, and they're increasing in both intensity and velocity. If you follow @Chronotope, you've had a front-row seat to the

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