More on Web3 & Crypto
CNET
3 years ago
How a $300K Bored Ape Yacht Club NFT was accidentally sold for $3K
The Bored Ape Yacht Club is one of the most prestigious NFT collections in the world. A collection of 10,000 NFTs, each depicting an ape with different traits and visual attributes, Jimmy Fallon, Steph Curry and Post Malone are among their star-studded owners. Right now the price of entry is 52 ether, or $210,000.
Which is why it's so painful to see that someone accidentally sold their Bored Ape NFT for $3,066.
Unusual trades are often a sign of funny business, as in the case of the person who spent $530 million to buy an NFT from themselves. In Saturday's case, the cause was a simple, devastating "fat-finger error." That's when people make a trade online for the wrong thing, or for the wrong amount. Here the owner, real name Max or username maxnaut, meant to list his Bored Ape for 75 ether, or around $300,000. Instead he accidentally listed it for 0.75. One hundredth the intended price.
It was bought instantaneously. The buyer paid an extra $34,000 to speed up the transaction, ensuring no one could snap it up before them. The Bored Ape was then promptly listed for $248,000. The transaction appears to have been done by a bot, which can be coded to immediately buy NFTs listed below a certain price on behalf of their owners in order to take advantage of these exact situations.
"How'd it happen? A lapse of concentration I guess," Max told me. "I list a lot of items every day and just wasn't paying attention properly. I instantly saw the error as my finger clicked the mouse but a bot sent a transaction with over 8 eth [$34,000] of gas fees so it was instantly sniped before I could click cancel, and just like that, $250k was gone."
"And here within the beauty of the Blockchain you can see that it is both honest and unforgiving," he added.
Fat finger trades happen sporadically in traditional finance -- like the Japanese trader who almost bought 57% of Toyota's stock in 2014 -- but most financial institutions will stop those transactions if alerted quickly enough. Since cryptocurrency and NFTs are designed to be decentralized, you essentially have to rely on the goodwill of the buyer to reverse the transaction.
Fat finger errors in cryptocurrency trades have made many a headline over the past few years. Back in 2019, the company behind Tether, a cryptocurrency pegged to the US dollar, nearly doubled its own coin supply when it accidentally created $5 billion-worth of new coins. In March, BlockFi meant to send 700 Gemini Dollars to a set of customers, worth roughly $1 each, but mistakenly sent out millions of dollars worth of bitcoin instead. Last month a company erroneously paid a $24 million fee on a $100,000 transaction.
Similar incidents are increasingly being seen in NFTs, now that many collections have accumulated in market value over the past year. Last month someone tried selling a CryptoPunk NFT for $19 million, but accidentally listed it for $19,000 instead. Back in August, someone fat finger listed their Bored Ape for $26,000, an error that someone else immediately capitalized on. The original owner offered $50,000 to the buyer to return the Bored Ape -- but instead the opportunistic buyer sold it for the then-market price of $150,000.
"The industry is so new, bad things are going to happen whether it's your fault or the tech," Max said. "Once you no longer have control of the outcome, forget and move on."
The Bored Ape Yacht Club launched back in April 2021, with 10,000 NFTs being sold for 0.08 ether each -- about $190 at the time. While NFTs are often associated with individual digital art pieces, collections like the Bored Ape Yacht Club, which allow owners to flaunt their NFTs by using them as profile pictures on social media, are becoming increasingly prevalent. The Bored Ape Yacht Club has since become the second biggest NFT collection in the world, second only to CryptoPunks, which launched in 2017 and is considered the "original" NFT collection.
forkast
3 years ago
Three Arrows Capital collapse sends crypto tremors
Three Arrows Capital's Google search volume rose over 5,000%.
Three Arrows Capital, a Singapore-based cryptocurrency hedge fund, filed for Chapter 15 bankruptcy last Friday to protect its U.S. assets from creditors.
Three Arrows filed for bankruptcy on July 1 in New York.
Three Arrows was ordered liquidated by a British Virgin Islands court last week after defaulting on a $670 million loan from Voyager Digital. Three days later, the Singaporean government reprimanded Three Arrows for spreading misleading information and exceeding asset limits.
Three Arrows' troubles began with Terra's collapse in May, after it bought US$200 million worth of Terra's LUNA tokens in February, co-founder Kyle Davies told the Wall Street Journal. Three Arrows has failed to meet multiple margin calls since then, including from BlockFi and Genesis.
Three Arrows Capital, founded by Kyle Davies and Su Zhu in 2012, manages $10 billion in crypto assets.
Bitcoin's price fell from US$20,600 to below US$19,200 after Three Arrows' bankruptcy petition. According to CoinMarketCap, BTC is now above US$20,000.
What does it mean?
Every action causes an equal and opposite reaction, per Newton's third law. Newtonian physics won't comfort Three Arrows investors, but future investors will thank them for their overconfidence.
Regulators are taking notice of crypto's meteoric rise and subsequent fall. Historically, authorities labeled the industry "high risk" to warn traditional investors against entering it. That attitude is changing. Regulators are moving quickly to regulate crypto to protect investors and prevent broader asset market busts.
The EU has reached a landmark deal that will regulate crypto asset sales and crypto markets across the 27-member bloc. The U.S. is close behind with a similar ruling, and smaller markets are also looking to improve safeguards.
For many, regulation is the only way to ensure the crypto industry survives the current winter.
Vitalik
3 years ago
An approximate introduction to how zk-SNARKs are possible (part 1)
You can make a proof for the statement "I know a secret number such that if you take the word ‘cow', add the number to the end, and SHA256 hash it 100 million times, the output starts with 0x57d00485aa". The verifier can verify the proof far more quickly than it would take for them to run 100 million hashes themselves, and the proof would also not reveal what the secret number is.
In the context of blockchains, this has 2 very powerful applications: Perhaps the most powerful cryptographic technology to come out of the last decade is general-purpose succinct zero knowledge proofs, usually called zk-SNARKs ("zero knowledge succinct arguments of knowledge"). A zk-SNARK allows you to generate a proof that some computation has some particular output, in such a way that the proof can be verified extremely quickly even if the underlying computation takes a very long time to run. The "ZK" part adds an additional feature: the proof can keep some of the inputs to the computation hidden.
You can make a proof for the statement "I know a secret number such that if you take the word ‘cow', add the number to the end, and SHA256 hash it 100 million times, the output starts with 0x57d00485aa". The verifier can verify the proof far more quickly than it would take for them to run 100 million hashes themselves, and the proof would also not reveal what the secret number is.
In the context of blockchains, this has two very powerful applications:
- Scalability: if a block takes a long time to verify, one person can verify it and generate a proof, and everyone else can just quickly verify the proof instead
- Privacy: you can prove that you have the right to transfer some asset (you received it, and you didn't already transfer it) without revealing the link to which asset you received. This ensures security without unduly leaking information about who is transacting with whom to the public.
But zk-SNARKs are quite complex; indeed, as recently as in 2014-17 they were still frequently called "moon math". The good news is that since then, the protocols have become simpler and our understanding of them has become much better. This post will try to explain how ZK-SNARKs work, in a way that should be understandable to someone with a medium level of understanding of mathematics.
Why ZK-SNARKs "should" be hard
Let us take the example that we started with: we have a number (we can encode "cow" followed by the secret input as an integer), we take the SHA256 hash of that number, then we do that again another 99,999,999 times, we get the output, and we check what its starting digits are. This is a huge computation.
A "succinct" proof is one where both the size of the proof and the time required to verify it grow much more slowly than the computation to be verified. If we want a "succinct" proof, we cannot require the verifier to do some work per round of hashing (because then the verification time would be proportional to the computation). Instead, the verifier must somehow check the whole computation without peeking into each individual piece of the computation.
One natural technique is random sampling: how about we just have the verifier peek into the computation in 500 different places, check that those parts are correct, and if all 500 checks pass then assume that the rest of the computation must with high probability be fine, too?
Such a procedure could even be turned into a non-interactive proof using the Fiat-Shamir heuristic: the prover computes a Merkle root of the computation, uses the Merkle root to pseudorandomly choose 500 indices, and provides the 500 corresponding Merkle branches of the data. The key idea is that the prover does not know which branches they will need to reveal until they have already "committed to" the data. If a malicious prover tries to fudge the data after learning which indices are going to be checked, that would change the Merkle root, which would result in a new set of random indices, which would require fudging the data again... trapping the malicious prover in an endless cycle.
But unfortunately there is a fatal flaw in naively applying random sampling to spot-check a computation in this way: computation is inherently fragile. If a malicious prover flips one bit somewhere in the middle of a computation, they can make it give a completely different result, and a random sampling verifier would almost never find out.
It only takes one deliberately inserted error, that a random check would almost never catch, to make a computation give a completely incorrect result.
If tasked with the problem of coming up with a zk-SNARK protocol, many people would make their way to this point and then get stuck and give up. How can a verifier possibly check every single piece of the computation, without looking at each piece of the computation individually? There is a clever solution.
see part 2
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Sammy Abdullah
3 years ago
R&D, S&M, and G&A expense ratios for SaaS
SaaS spending is 40/40/20. 40% of operating expenses should be R&D, 40% sales and marketing, and 20% G&A. We wanted to see the statistics behind the rules of thumb. Since October 2017, 73 SaaS startups have gone public. Perhaps the rule of thumb should be 30/50/20. The data is below.
30/50/20. R&D accounts for 26% of opex, sales and marketing 48%, and G&A 22%. We think R&D/S&M/G&A should be 30/50/20.
There are outliers. There are exceptions to rules of thumb. Dropbox spent 45% on R&D whereas Zoom spent 13%. Zoom spent 73% on S&M, Dropbox 37%, and Bill.com 28%. Snowflake spent 130% of revenue on S&M, while their EBITDA margin is -192%.
G&A shouldn't stand out. Minimize G&A spending. Priorities should be product development and sales. Cloudflare, Sendgrid, Snowflake, and Palantir spend 36%, 34%, 37%, and 43% on G&A.
Another myth is that COGS is 20% of revenue. Median and averages are 29%.
Where is the profitability? Data-driven operating income calculations were simplified (Revenue COGS R&D S&M G&A). 20 of 73 IPO businesses reported operational income. Median and average operating income margins are -21% and -27%.
As long as you're growing fast, have outstanding retention, and marquee clients, you can burn cash since recurring income that doesn't churn is a valuable annuity.
The data was compelling overall. 30/50/20 is the new 40/40/20 for more established SaaS enterprises, unprofitability is alright as long as your business is expanding, and COGS can be somewhat more than 20% of revenue.
Alana Rister, Ph.D.
2 years ago
Don't rely on lessons you learned with a small audience.
My growth-killing mistake
When you initially start developing your audience, you need guidance.
What does my audience like? What do they not like? How can I grow more?
When I started writing two years ago, I inquired daily. Taking cues from your audience to develop more valuable content is a good concept, but it's simple to let them destroy your growth.
A small audience doesn't represent the full picture.
When I had fewer than 100 YouTube subscribers, I tried several video styles and topics. I looked to my audience for what to preserve and what to change.
If my views, click-through rate, or average view % dropped, that topic or style was awful. Avoiding that style helped me grow.
Vlogs, talking head videos on writing, and long-form tutorials didn't fare well.
Since I was small, I've limited the types of films I make. I have decided to make my own videos.
Surprisingly, the videos I avoided making meet or exceed my views, CTR, and audience retention.
A limited audience can't tell you what your tribe wants. Therefore, limiting your innovation will prohibit you from reaching the right audience. Finding them may take longer.
Large Creators Experience The Same Issue
In the last two years, I've heard Vanessa Lau and Cathrin Manning say they felt pigeonholed into generating videos they didn't want to do.
Why does this happen over and over again?
Once you have a popular piece of content, your audience will grow. So when you publish inconsistent material, fewer of your new audience will view it. You interpret the drop in views as a sign that your audience doesn't want the content, so you stop making it.
Repeat this procedure a few times, and you'll create stuff you're not passionate about because you're frightened to publish it.
How to Manage Your Creativity and Audience Development
I'm not recommending you generate random content.
Instead of feeling trapped by your audience, you can cultivate a diverse audience.
Create quality material on a range of topics and styles as you improve. Be creative until you get 100 followers. Look for comments on how to improve your article.
If you observe trends in the types of content that expand your audience, focus 50-75% of your material on those trends. Allow yourself to develop 25% non-performing material.
This method can help you expand your audience faster with your primary trends and like all your stuff. Slowly, people will find 25% of your material, which will boost its performance.
How to Expand Your Audience Without Having More Limited Content
Follow these techniques to build your audience without feeling confined.
Don't think that you need restrict yourself to what your limited audience prefers.
Don't let the poor performance of your desired material demotivate you.
You shouldn't restrict the type of content you publish or the themes you cover when you have less than 100 followers.
When your audience expands, save 25% of your content for your personal interests, regardless of how well it does.
Sanjay Priyadarshi
3 years ago
A 19-year-old dropped out of college to build a $2,300,000,000 company in 2 years.
His success was unforeseeable.
2014 saw Facebook's $2.3 billion purchase of Oculus VR.
19-year-old Palmer Luckey founded Oculus. He quit journalism school. His parents worried about his college dropout.
Facebook bought Oculus VR in less than 2 years.
Palmer Luckey started Anduril Industries. Palmer has raised $385 million with Anduril.
The Oculus journey began in a trailer
Palmer Luckey, 19, owned the trailer.
Luckey had his trailer customized. The trailer had all six of Luckey's screens. In the trailer's remaining area, Luckey conducted hardware tests.
At 16, he became obsessed with virtual reality. Virtual reality was rare at the time.
Luckey didn't know about VR when he started.
Previously, he liked "portabilizing" mods. Hacking ancient game consoles into handhelds.
In his city, fewer portabilizers actively traded.
Luckey started "ModRetro" for other portabilizers. Luckey was exposed to VR headsets online.
Luckey:
“Man, ModRetro days were the best.”
Palmer Luckey used VR headsets for three years. His design had 50 prototypes.
Luckey used to work at the Long Beach Sailing Center for minimum salary, servicing diesel engines and cleaning boats.
Luckey worked in a USC Institute for Creative Technologies mixed reality lab in July 2011. (ICT).
Luckey cleaned the lab, did reports, and helped other students with VR projects.
Luckey's lab job was dull.
Luckey chose to work in the lab because he wanted to engage with like-minded folks.
By 2012, Luckey had a prototype he hoped to share globally. He made cheaper headsets than others.
Luckey wanted to sell an easy-to-assemble virtual reality kit on Kickstarter.
He realized he needed a corporation to do these sales legally. He started looking for names. "Virtuality," "virtual," and "VR" are all taken.
Hence, Oculus.
If Luckey sold a hundred prototypes, he would be thrilled since it would boost his future possibilities.
John Carmack, legendary game designer
Carmack has liked sci-fi and fantasy since infancy.
Carmack loved imagining intricate gaming worlds.
His interest in programming and computer science grew with age.
He liked graphics. He liked how mismatching 0 and 1 might create new colors and visuals.
Carmack played computer games as a teen. He created Shadowforge in high school.
He founded Id software in 1991. When Carmack created id software, console games were the best-sellers.
Old computer games have weak graphics. John Carmack and id software developed "adaptive tile refresh."
This technique smoothed PC game scrolling. id software launched 3-D, Quake, and Doom using "adaptive tile refresh."
These games made John Carmack a gaming star. Later, he sold Id software to ZeniMax Media.
How Palmer Luckey met Carmack
In 2011, Carmack was thinking a lot about 3-D space and virtual reality.
He was underwhelmed by the greatest HMD on the market. Because of their flimsiness and latency.
His disappointment was partly due to the view (FOV). Best HMD had 40-degree field of view.
Poor. The best VR headset is useless with a 40-degree FOV.
Carmack intended to show the press Doom 3 in VR. He explored VR headsets and internet groups for this reason.
Carmack identified a VR enthusiast in the comments section of "LEEP on the Cheap." "PalmerTech" was the name.
Carmack approached PalmerTech about his prototype. He told Luckey about his VR demos, so he wanted to see his prototype.
Carmack got a Rift prototype. Here's his May 17 tweet.
John Carmack tweeted an evaluation of the Luckey prototype.
Dan Newell, a Valve engineer, and Mick Hocking, a Sony senior director, pre-ordered Oculus Rift prototypes with Carmack's help.
Everyone praised Luckey after Carmack demoed Rift.
Palmer Luckey received a job offer from Sony.
It was a full-time position at Sony Computer Europe.
He would run Sony’s R&D lab.
The salary would be $70k.
Who is Brendan Iribe?
Brendan Iribe started early with Startups. In 2004, he and Mike Antonov founded Scaleform.
Scaleform created high-performance middleware. This package allows 3D Flash games.
In 2011, Iribe sold Scaleform to Autodesk for $36 million.
How Brendan Iribe discovered Palmer Luckey.
Brendan Iribe's friend Laurent Scallie.
Laurent told Iribe about a potential opportunity.
Laurent promised Iribe VR will work this time. Laurent introduced Iribe to Luckey.
Iribe was doubtful after hearing Laurent's statements. He doubted Laurent's VR claims.
But since Laurent took the name John Carmack, Iribe thought he should look at Luckey Innovation. Iribe was hooked on virtual reality after reading Palmer Luckey stories.
He asked Scallie about Palmer Luckey.
Iribe convinced Luckey to start Oculus with him
First meeting between Palmer Luckey and Iribe.
The Iribe team wanted Luckey to feel comfortable.
Iribe sought to convince Luckey that launching a company was easy. Iribe told Luckey anyone could start a business.
Luckey told Iribe's staff he was homeschooled from childhood. Luckey took self-study courses.
Luckey had planned to launch a Kickstarter campaign and sell kits for his prototype. Many companies offered him jobs, nevertheless.
He's considering Sony's offer.
Iribe advised Luckey to stay independent and not join a firm. Iribe asked Luckey how he could raise his child better. No one sees your baby like you do?
Iribe's team pushed Luckey to stay independent and establish a software ecosystem around his device.
After conversing with Iribe, Luckey rejected every job offer and merger option.
Iribe convinced Luckey to provide an SDK for Oculus developers.
After a few months. Brendan Iribe co-founded Oculus with Palmer Luckey. Luckey trusted Iribe and his crew, so he started a corporation with him.
Crowdfunding
Brendan Iribe and Palmer Luckey launched a Kickstarter.
Gabe Newell endorsed Palmer's Kickstarter video.
Gabe Newell wants folks to trust Palmer Luckey since he's doing something fascinating and answering tough questions.
Mark Bolas and David Helgason backed Palmer Luckey's VR Kickstarter video.
Luckey introduced Oculus Rift during the Kickstarter campaign. He introduced virtual reality during press conferences.
Oculus' Kickstarter effort was a success. Palmer Luckey felt he could raise $250,000.
Oculus raised $2.4 million through Kickstarter. Palmer Luckey's virtual reality vision was well-received.
Mark Zuckerberg's Oculus discovery
Brendan Iribe and Palmer Luckey hired the right personnel after a successful Kickstarter campaign.
Oculus needs a lot of money for engineers and hardware. They needed investors' money.
Series A raised $16M.
Next, Andreessen Horowitz partner Brain Cho approached Iribe.
Cho told Iribe that Andreessen Horowitz could invest in Oculus Series B if the company solved motion sickness.
Mark Andreessen was Iribe's dream client.
Marc Andreessen and his partners gave Oculus $75 million.
Andreessen introduced Iribe to Zukerberg. Iribe and Zukerberg discussed the future of games and virtual reality by phone.
Facebook's Oculus demo
Iribe showed Zuckerberg Oculus.
Mark was hooked after using Oculus. The headset impressed him.
The whole Facebook crew who saw the demo said only one thing.
“Holy Crap!”
This surprised them all.
Mark Zuckerberg was impressed by the team's response. Mark Zuckerberg met the Oculus team five days after the demo.
First meeting Palmer Luckey.
Palmer Luckey is one of Mark's biggest supporters and loves Facebook.
Oculus Acquisition
Zuckerberg wanted Oculus.
Brendan Iribe had requested for $4 billion, but Mark wasn't interested.
Facebook bought Oculus for $2.3 billion after months of drama.
After selling his company, how does Palmer view money?
Palmer loves the freedom money gives him. Money frees him from small worries.
Money has allowed him to pursue things he wouldn't have otherwise.
“If I didn’t have money I wouldn’t have a collection of vintage military vehicles…You can have nice hobbies that keep you relaxed when you have money.”
He didn't start Oculus to generate money. His virtual reality passion spanned years.
He didn't have to lie about how virtual reality will transform everything until he needed funding.
The company's success was an unexpected bonus. He was merely passionate about a good cause.
After Oculus' $2.3 billion exit, what changed?
Palmer didn't mind being rich. He did similar things.
After Facebook bought Oculus, he moved to Silicon Valley and lived in a 12-person shared house due to high rents.
Palmer might have afforded a big mansion, but he prefers stability and doing things because he wants to, not because he has to.
“Taco Bell is never tasted so good as when you know you could afford to never eat taco bell again.”
Palmer's leadership shifted.
Palmer changed his leadership after selling Oculus.
When he launched his second company, he couldn't work on his passions.
“When you start a tech company you do it because you want to work on a technology, that is why you are interested in that space in the first place. As the company has grown, he has realized that if he is still doing optical design in the company it’s because he is being negligent about the hiring process.”
Once his startup grows, the founder's responsibilities shift. He must recruit better firm managers.
Recruiting talented people becomes the top priority. The founder must convince others of their influence.
A book that helped me write this:
The History of the Future: Oculus, Facebook, and the Revolution That Swept Virtual Reality — Blake Harris
*This post is a summary. Read the full article here.