What even is generative art? William Mapan, whose 250-piece Distance collection just sold out at 2ETH each, explains using a crayon and die.
Generative artist William Mapans latest collection, “Distance,” sold out in less than 24 hours despite launching in the middle of a very weak NFT market.
From his early long-form generative series “Dragons” on the Tezos blockchain to the highly sought-after “Anticyclone ArtBlocks collection that currently commands a 5 ETH floor, Mapan has a unique way of capturing the hearts and minds of collectors.
But many people in the public still dont understand what generative art even is. Mapan has a unique way of explaining the often misunderstood genre by boiling it down to a piece of paper, a crayon and a die.
It can be really hard to explain but usually the way I explain is to put away the code, put away the blockchain, put away everything. Just take a piece of paper, a crayon and dice. Imagine drawing two by two boxes on that paper, so four boxes total. You then throw the dice if the roll shows up as a three or below, you draw a square; if the dice shows four or above, you draw a circle into one of the boxes.
You just made an algorithm; you just made a set of rules and introduced some randomness in there. Thats basically what generative art is, you build a set of rules, an algorithm and then introduce randomness. Then you try to control that part of the space.
With the grid of two by two, the parameter of space is very reduced, but as soon as you expand to different parameters, you can get many different outputs. Imagine a 10 by 10 box and imagine you have multiple shapes like a circle, triangle, square, star or whatever. You just write down your rules and just follow them, and thats it.
Fine line technique
Mapans work straddles the line between appearing as if its physically or digitally made, a technique other artists such as Tyler Hobbs and Emily Xiu have a reputation for.
I like to activate senses, feelings and memories. My hope is that when you see my work, it sparks curiosity. You might think my art reminds you of something in one way, but in another way, youre thinking there are so many shapes that its impossible that someone made it by hand, says Mapan.
I hope that it connects with people in their memories, especially like the last series that I released last week, “Distance.” I want people to see themselves traveling, and they remember, Oh, I was on this plane when I saw this kind of landscape down there. I like to trigger emotions and curiosity.
Based in France, Mapan credits Matt Deslauriers, the artist behind Meridians and Subscapes, as his introduction to art on the blockchain. Mapans first NFT was minted on 4 March 2021 on Tezos, where he put a lot of his early digital work before launching Anticyclone via ArtBlocks on Ethereum on 23 April 2022.
Matt helped me navigate early on. He kindly explained it all to me, and it started to make sense over time. I started in the Tezos ecosystem, which was a very community art-driven vibe, Mapan says.
It intrigued me that you could put an algorithm on the blockchain, and when people mint it, they buy an iteration that triggers your algorithm on demand. It was a new way to think about your work. Basically, the collector is a triggering point.
Notable Sales
Rapid-fire Q&A
Are there any up-and-coming artists who you think people should be paying attention to?
Anna Lucia: I definitely love her work. Shes very talented, and I cant wait to see her progress. You need to look her up.
What are the influences on your art career to date?
Abstract expressionism movement and people pushing boundaries in modern-day art.
Who is a notable collector of yours that makes you smile knowing they own one of your pieces?
AC the collector He is one of the most engaging ones. He comes to exhibitions and talks to me. He always tries to reach out to me and to understand the practice behind the work. AC is definitely a great collector.
Whats your favorite NFT in your wallet thats not your own NFT?
I dont know why I love this, but I just do. It’s perfect because I love Iskras work and I love Zachs work. Its the perfect combination. I love the light and abstract shapes, its just amazing work.
Who do you listen to when creating art?
Kendrick Lamar and Sofiane Pamart. I really like classical music, especially when I try to be in the flow state. When I need to crush stuff, its hip hop.
Performers are in another light. They need to go up in front of the public. They have to be fragile and sensible, yet you have to let your shell down. I find that very inspiring.
I try to be more like that. To let my emotions out. Prior, I was basically shutting them down because I wasnt creating art full-time. Now that art is my job, I want to explore expressing myself more. Performers are very inspiring in that regard.
“Untitled” by William Mapan (objkt.com)
What’s hot in NFT art markets
Mapans aforementioned “Distance,” a collaboration with Cactoid Labs and LACMA, sold out its 250-piece collection at a 2 ETH mint price per piece. The collection has done close to 185 ETH in secondary sales volume since its 13 September mint.
Below are some of the other top recent digital art sales.
Ringers #343 by Dmitri Cherniak sold for 39.99 ETH ($65,395). (OpenSea)Door VII by Matt Kane sold for 22.5 ETH ($36,787). (OpenSea)Chromie Squiggle #1606 by Snowfro sold for 20 ETH ($32,877). (OpenSea)
Cool Cats headed to Macys Thanksgiving Day Parade
Nothing says mainstream more than the iconic Macys Thanksgiving Day Parade in New York City, and Cool Cats is set to become the first NFT collection to be featured.
In its 97th annual edition, the parade ran a contest that featured numerous NFT collections, including SupDucks, Boss Beauties and VeeFriends. Cool Cats eventually won out, which means a massive Blue Cat balloon will grace the skies of Manhattan on 23 November.
Were about to turn New York City into Blue York City! Heres your first look at our OFFICIAL @Macys Thanksgiving Day Parade balloon
The lead artist and founder of Cool Cats, Clon, couldnt be more excited for his beloved project.
This is a big moment for me as an artist and as the founder of Cool Cats. Personally, the Macys Thanksgiving Day Parade has always been an important event in my family and it holds a lot of memories. Being able to showcase my artwork alongside some of the worlds most recognizable characters is a dream come true, says Clon.
After a bumpy ride over the past few weeks, the Nouns DAO fork has finished with 472 Nouns NFT holders out of 844 in total opting into the fork that was approved in proposal 356.
The Nouns holders that opted into the fork will have the opportunity to get approximately 35 ETH back, while Noun holders that voted against proposal 356 will carry on as the DAO had originally been structured, where 1 Noun per day is auctioned, with the proceeds going to fund the treasury of Nouns.
BUFFALO, NY- March 11, 2024 – Impact Journals publishes scholarly journals in the biomedical sciences with a focus on all areas of cancer and aging research. Aging is one of the most prominent journals published by Impact Journals.
Credit: Impact Journals
BUFFALO, NY- March 11, 2024 – Impact Journals publishes scholarly journals in the biomedical sciences with a focus on all areas of cancer and aging research. Aging is one of the most prominent journals published by Impact Journals.
Impact Journals will be participating as an exhibitor at the American Association for Cancer Research (AACR) Annual Meeting 2024 from April 5-10 at the San Diego Convention Center in San Diego, California. This year, the AACR meeting theme is “Inspiring Science • Fueling Progress • Revolutionizing Care.”
Visit booth #4159 at the AACR Annual Meeting 2024 to connect with members of the Agingteam.
About Aging-US:
Agingpublishes research papers in all fields of aging research including but not limited, aging from yeast to mammals, cellular senescence, age-related diseases such as cancer and Alzheimer’s diseases and their prevention and treatment, anti-aging strategies and drug development and especially the role of signal transduction pathways such as mTOR in aging and potential approaches to modulate these signaling pathways to extend lifespan. The journal aims to promote treatment of age-related diseases by slowing down aging, validation of anti-aging drugs by treating age-related diseases, prevention of cancer by inhibiting aging. Cancer and COVID-19 are age-related diseases.
Agingis indexed and archived byPubMed/Medline (abbreviated as “Aging (Albany NY)”), PubMed Central, Web of Science: Science Citation Index Expanded (abbreviated as “Aging‐US” and listed in the Cell Biology and Geriatrics & Gerontology categories), Scopus (abbreviated as “Aging” and listed in the Cell Biology and Aging categories), Biological Abstracts, BIOSIS Previews, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).
Please visit our website at www.Aging-US.com and connect with us:
NY Fed Finds Medium, Long-Term Inflation Expectations Jump Amid Surge In Stock Market Optimism
One month after the inflation outlook tracked by the NY Fed Consumer Survey extended their late 2023 slide, with 3Y inflation expectations in January sliding to a record low 2.4% (from 2.6% in December), even as 1 and 5Y inflation forecasts remained flat, moments ago the NY Fed reported that in February there was a sharp rebound in longer-term inflation expectations, rising to 2.7% from 2.4% at the three-year ahead horizon, and jumping to 2.9% from 2.5% at the five-year ahead horizon, while the 1Y inflation outlook was flat for the 3rd month in a row, stuck at 3.0%.
The increases in both the three-year ahead and five-year ahead measures were most pronounced for respondents with at most high school degrees (in other words, the "really smart folks" are expecting deflation soon). The survey’s measure of disagreement across respondents (the difference between the 75th and 25th percentile of inflation expectations) decreased at all horizons, while the median inflation uncertainty—or the uncertainty expressed regarding future inflation outcomes—declined at the one- and three-year ahead horizons and remained unchanged at the five-year ahead horizon.
Going down the survey, we find that the median year-ahead expected price changes increased by 0.1 percentage point to 4.3% for gas; decreased by 1.8 percentage points to 6.8% for the cost of medical care (its lowest reading since September 2020); decreased by 0.1 percentage point to 5.8% for the cost of a college education; and surprisingly decreased by 0.3 percentage point for rent to 6.1% (its lowest reading since December 2020), and remained flat for food at 4.9%.
We find the rent expectations surprising because it is happening just asking rents are rising across the country.
At the same time as consumers erroneously saw sharply lower rents, median home price growth expectations remained unchanged for the fifth consecutive month at 3.0%.
Turning to the labor market, the survey found that the average perceived likelihood of voluntary and involuntary job separations increased, while the perceived likelihood of finding a job (in the event of a job loss) declined. "The mean probability of leaving one’s job voluntarily in the next 12 months also increased, by 1.8 percentage points to 19.5%."
Mean unemployment expectations - or the mean probability that the U.S. unemployment rate will be higher one year from now - decreased by 1.1 percentage points to 36.1%, the lowest reading since February 2022. Additionally, the median one-year-ahead expected earnings growth was unchanged at 2.8%, remaining slightly below its 12-month trailing average of 2.9%.
Turning to household finance, we find the following:
The median expected growth in household income remained unchanged at 3.1%. The series has been moving within a narrow range of 2.9% to 3.3% since January 2023, and remains above the February 2020 pre-pandemic level of 2.7%.
Median household spending growth expectations increased by 0.2 percentage point to 5.2%. The increase was driven by respondents with a high school degree or less.
Median year-ahead expected growth in government debt increased to 9.3% from 8.9%.
The mean perceived probability that the average interest rate on saving accounts will be higher in 12 months increased by 0.6 percentage point to 26.1%, remaining below its 12-month trailing average of 30%.
Perceptions about households’ current financial situations deteriorated somewhat with fewer respondents reporting being better off than a year ago. Year-ahead expectations also deteriorated marginally with a smaller share of respondents expecting to be better off and a slightly larger share of respondents expecting to be worse off a year from now.
The mean perceived probability that U.S. stock prices will be higher 12 months from now increased by 1.4 percentage point to 38.9%.
At the same time, perceptions and expectations about credit access turned less optimistic: "Perceptions of credit access compared to a year ago deteriorated with a larger share of respondents reporting tighter conditions and a smaller share reporting looser conditions compared to a year ago."
Also, a smaller percentage of consumers, 11.45% vs 12.14% in prior month, expect to not be able to make minimum debt payment over the next three months
Last, and perhaps most humorous, is the now traditional cognitive dissonance one observes with these polls, because at a time when long-term inflation expectations jumped, which clearly suggests that financial conditions will need to be tightened, the number of respondents expecting higher stock prices one year from today jumped to the highest since November 2021... which incidentally is just when the market topped out during the last cycle before suffering a painful bear market.
Homes listed for sale in early June sell for $7,700 more
New Zillow research suggests the spring home shopping season may see a second wave this summer if mortgage rates fall
The post Homes listed for sale in…
A Zillow analysis of 2023 home sales finds homes listed in the first two weeks of June sold for 2.3% more.
The best time to list a home for sale is a month later than it was in 2019, likely driven by mortgage rates.
The best time to list can be as early as the second half of February in San Francisco, and as late as the first half of July in New York and Philadelphia.
Spring home sellers looking to maximize their sale price may want to wait it out and list their home for sale in the first half of June. A new Zillow® analysis of 2023 sales found that homes listed in the first two weeks of June sold for 2.3% more, a $7,700 boost on a typical U.S. home.
The best time to list consistently had been early May in the years leading up to the pandemic. The shift to June suggests mortgage rates are strongly influencing demand on top of the usual seasonality that brings buyers to the market in the spring. This home-shopping season is poised to follow a similar pattern as that in 2023, with the potential for a second wave if the Federal Reserve lowers interest rates midyear or later.
The 2.3% sale price premium registered last June followed the first spring in more than 15 years with mortgage rates over 6% on a 30-year fixed-rate loan. The high rates put home buyers on the back foot, and as rates continued upward through May, they were still reassessing and less likely to bid boldly. In June, however, rates pulled back a little from 6.79% to 6.67%, which likely presented an opportunity for determined buyers heading into summer. More buyers understood their market position and could afford to transact, boosting competition and sale prices.
The old logic was that sellers could earn a premium by listing in late spring, when search activity hit its peak. Now, with persistently low inventory, mortgage rate fluctuations make their own seasonality. First-time home buyers who are on the edge of qualifying for a home loan may dip in and out of the market, depending on what’s happening with rates. It is almost certain the Federal Reserve will push back any interest-rate cuts to mid-2024 at the earliest. If mortgage rates follow, that could bring another surge of buyers later this year.
Mortgage rates have been impacting affordability and sale prices since they began rising rapidly two years ago. In 2022, sellers nationwide saw the highest sale premium when they listed their home in late March, right before rates barreled past 5% and continued climbing.
Zillow’s research finds the best time to list can vary widely by metropolitan area. In 2023, it was as early as the second half of February in San Francisco, and as late as the first half of July in New York. Thirty of the top 35 largest metro areas saw for-sale listings command the highest sale prices between May and early July last year.
Zillow also found a wide range in the sale price premiums associated with homes listed during those peak periods. At the hottest time of the year in San Jose, homes sold for 5.5% more, a $88,000 boost on a typical home. Meanwhile, homes in San Antonio sold for 1.9% more during that same time period.
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Cookie
Duration
Description
cookielawinfo-checbox-analytics
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checbox-functional
11 months
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checbox-others
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-necessary
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-performance
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy
11 months
The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.