Signal’s founder Moxie Marlinspike, who has been the victim of social media trolling on several occasions, is this time on the other end of the spectrum. Marlinspike has created and listed a non-fungible token (NFT) for sale that changes its form depending on the platform or the user accessing it. If someone actually buys NFTs, the ‘token’ clearly appears inside their digital wallet as a ‘poop’ emoji, pointing to the potential fragility of NFTs, which are considered formal proof of ownership. .
noted in a report by ledge‘Token’ titled ‘At my whim, #1’ appears differently on Popular NFT Forum open sea So how does it do in NFT Marketplace Rarible. But that’s not a feature of its digital creation – it shows up inside your digital wallet as a ‘poop’ emoji.
I have created an NFT, but the image renders differently depending on who is viewing it.
For example, on OpenC: https://t.co/XI0hSerW5y
… on vs. rare: https://t.co/gQTH4tcR9k
…vs if you own it, it currently presents as a big one???? Emoji in your wallet. How does this work:
— moxie marlinspike (@moxie) 12 October 2021
Marlinspike A. I tell twitter thread It is after his NFT announcement that the whole purpose of his prank is to shed some light on the fragility of NFTs. He says that NFT image data is, in fact, not saved on the blockchain – instead a URL of the image is saved on the blockchain that points to the image. Meaning it’s just the record that stays in the series and not the digital art or images.
It is usually hosted elsewhere, meaning that an NFT buyer can spend a lot of money for their art, may be at the mercy of hosts that are not part of the blockchain in any way and “ Can change the NFT image at any time”.
This isn’t the first time Marlinspike has thought of an innovative way to take a problem to the masses. the company has previously encouraged to public relations Back in May, Signal put out a blog post that Facebook forbade Signal from buying ads on Instagram that sought to shed light on how the tech giant gathers and manages its business. Makes money from users’ data.