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

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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
A thread of resources for aspiring & new Product Managers:

(should also be useful for Eng, Design, Data Science, Mktg, Ops folks who want to get better at PM work or want to build more empathy for your PM friends ☺️)

(oh, and pls also share *your* favorite resources below)

👇🏾

1/

Product Management - Start Here by @cagan
(hard to go wrong if you start with Marty Cagan’s

2/

Tips for Breaking into PM by @sriramk
(I’ve recommended this thread in my DMs more often than any other thread, by a pretty wide


3/

Top 100 Product Management Resources by @sachinrekhi
(well-categorized index so you can focus on whatever’s most useful right

4/

Brief interruption.

It’s important to understand your preferred learning style and go all in on that learning style (vs. struggling / procrastinating as you force a non-preferred learning

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Rig Ved 1.36.7

To do a Namaskaar or bow before someone means that you are humble or without pride and ego. This means that we politely bow before you since you are better than me. Pranipaat(प्राणीपात) also means the same that we respect you without any vanity.

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Surrendering False pride is Namaskaar. Even in devotion or bhakti we say the same thing. We want to convey to Ishwar that we have nothing to offer but we leave all our pride and offer you ourselves without any pride in our body. You destroy all our evil karma.

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We bow before you so that you assimilate us and make us that capable. Destruction of our evils and surrender is Namaskaar. Therefore we pray same thing before and after any big rituals.

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तं घे॑मि॒त्था न॑म॒स्विन॒ उप॑ स्व॒राज॑मासते ।
होत्रा॑भिर॒ग्निं मनु॑षः॒ समिं॑धते तिति॒र्वांसो॒ अति॒ स्रिधः॑॥

Translation :

नमस्विनः - To bow.

स्वराजम् - Self illuminating.

तम् - His.

घ ईम् - Yours.

इत्था - This way.

उप - Upaasana.

आसते - To do.

स्त्रिधः - For enemies.

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अति तितिर्वांसः - To defeat fast.

मनुषः - Yajman.

होत्राभिः - In seven numbers.

अग्निम् - Agnidev.

समिन्धते - Illuminated on all sides.

Explanation : Yajmans bow(do Namaskaar) before self illuminating Agnidev by making the offerings of Havi.

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