Co-Curator

cocurator

As a curator at one of the world’s largest online art galleries, I'm often asked, What is curation? What is a curator's role in the arts? And, more recently, does curation have a place in the rising space of art NFTs, especially given that it is such a decentralized movement? I wholeheartedly believe that curation does have an important role in the space. The industry will not only need artists to create NFTs and collectors to purchase them, but it also needs curators to help develop and foster talent, and guide buyers towards finding the next work to add to their collection. A curator can also help society better understand what art NFTs are, and provide insight into an individual work’s value and meaning within the context of this historic art movement. While much of the promise of crypto art lies in its potential to democratize art creation and collection, curators remain essential. Here are a few ways they will play a role in the shaping of the crypto art scene. The Role of Curation and Art NFTs There really isn't one definition of what it means to be a curator, and it's even more undefined in the NFT space. Traditionally, , “The curator is a steward of art objects, as indicated by the Latin etymology of ‘Curarae’ or to take care of, attend to. … A good curator provides information, connections, and even contrasts to understand what makes art relevant today.” as Sotheby’s puts it How does that apply to new spaces created by technological advances, where art is no longer only a painting or sculpture in a museum or gallery, but accessible to everyone to view online? What does curation mean in a new industry where artists and collectors are bypassing traditional gatekeepers? Whether it be for NFTs or physical artworks, I see the role of a curator as having several different facets, each of which is important in the development of great art, and having that great art be appreciated by a wider audience. We already know that the archetypical picture of who “can/should” be a curator is changing, which means that what curation looks like is going to change, too. However, there are a few core attributes that curators must possess, even if the people and processes change. A Curator Works with Artists Curators are dedicated to an artist’s craft and career. Curators not only identify new talent, but work with that talent to foster their creativity and develop their career objectives. Getting to know artists and their inspiration means that curators can better write and speak about artists’ work, in order to generate interest within a wider audience. Curators also provide portfolio reviews, advocate for artists’ work, and lend needed support throughout the artistic journey. This type of patronage is incredibly important, as it allows artists the ability to focus on what they are best at: creating. In the context of the crypto art universe, curators can usher artists into the space by helping them to better understand how they can maximize their creativity, what type of NFT approach will be best for their career growth, how to price their art (our recent report on “Making a Living as an Artist” found that the biggest challenge to artists was correctly pricing their NFT), and how to use NFTs for income generation. Curators Curate Curators also curate art by thoughtfully organizing and arranging works and collections in a way that tells a story to the audience. This can include not only organizing exhibitions and shows, but writing about artists, trends, and movements, too. You could even say that this role makes curators preservers of history, art, and culture. Because curatorial efforts teach a broader audience how to appreciate art and help them understand why that art is important, curators will play a critical role in communicating the value and necessity of art NFTs. Since curators are aware of the many players in the space — artists, collectors, galleries, other curators, institutions, and more — they can better understand the ripple effect of a single drop or series, which can better inform their work with artists and collectors. Curators are Advisors to Collectors Curators also play an important role in working with interested buyers in order to connect them with pieces of art they'll enjoy and want to own. Curators meet the collector, and seek to understand their goals, which could vary widely from person to person — from wanting to build a collection focused on a medium or theme to focusing only on those works which will increase in value over time. Another way curators advise collectors is by spending time keeping up on artists and art movements so they can better inform buyers who may not have the time to dedicate to researching artworks. With art NFTs, this means not only understanding a collector’s goals — are they looking for generative works? important NFT drops? a name behind the art? — but educating them on the technology of the space, helping them to properly set up asset storage, and more. Curators are Guides in the NFT World In the rising crypto art space, curators will play the necessary role of guide: they'll know every inch of this new landscape, and be able to lead both artists and collectors through this relatively unknown world, providing education and direction along the way. This will be especially important as many artists and collectors seek to learn more about what NFTs are, the technology powering them, the value they can bring to both artists and collectors, and where the future of the industry is going. Ultimately, curators help make art accessible, both to collectors through education and contextualization, and to artists by breaking down the barriers to creation. Catalysts of New Art Approaches In a dissecting the overuse of the term “curator,” critic and historian Hans-Ulrich Obrist defines the role as “a catalyst, generator and motivator — a sparring partner, accompanying the artist while they build a show, and a bridge builder, creating a bridge to the public.” I’ve personally never been a fan of the word “curator” because of the sometimes stuffy connotations that come with it, which have never felt true to who I was or what my role at Saatchi Art entailed. But I like Obrist’s more dynamic interpretation, and that it speaks as compellingly to NFTs as to traditional art. The role curators will play in the emerging category of crypto art is one of catalyst and motivator, helping us to find a new way of comprehending art, and as bridge-builders creating ease of access to new artistic approaches. New York Times article

Curators Will Play a Major Role in Fostering Art NFTs — Here’s Why

This story is a part of Hacker Noon's of interviews. The series is intended for tech professionals contributing the most insightful Hacker Noon stories to share more about their writing habits, ideas, and professional background (and maybe a hobby or two). Meet the Writer series If you too would like to start contributing to Hacker Noon, . you can do so here So let’s start! Tell us a bit about yourself. For example, name, profession, and personal interests. I’m Craig Williams, and as a Craig Williams, I like to do Craig Williams-related things like firing up the Playstation and playing a game so difficult I develop clinical anger issues followed by clinical depression. (I’m looking at you Fume Knight from Dark Souls 2…and the person reading this telling me that the Fume Knight like one of the easiest bosses and that I’m just a scrub.) But when I’m not gitting gud at Soulbornesque games, I’m attempting to git gud and stand up. If you wander around coastal Alabama and Mississippi long enough, you’re bound to see me trying to make drunk people laugh at my high-brow knock-knock jokes. Comedy isn’t all I do though; I’m also a professional Software Developer, and that intersection of comedy and tech is kind of what piqued my interest and drew me to Hacker Noon in the first place, so here I am! A disclaimer: As a console gamer, I am not responsible for my slovenly and unsophisticated manner. We console gamers are simple folk who don’t understand the ways of the superior PC gamer, and for that we’re sorry. Interesting! What was your latest Hackernoon Top story about? It was about how to explain blockchain gaming to your grandma. I saw a lot of in-depth explanations of blockchain gaming here and there floating around the internet, so I wanted to put together an article that gives a high-level overview in a way that even an AARP member can understand. It takes the concept of blockchain gaming and applies it directly to your forehead like Head On. Blockchain technology—directly to the forehead. Play-to-Earn—directly to the forehead. Cryptocurrency—directly to the forehead. Give it a read if you have time to waste at work or if you just want to use it as a point of reference for actually explaining blockchain gaming to your grandma! And hey, if your grandma isn’t super enthusiastic to learn about blockchain gaming, just know that’s totally normal. Honestly, I’ve never seen a grandmother more excited about blockchain gaming than my grandma, and she’s dead. Do you usually write on similar topics? If not, what do you usually write about? No, I do a lot of writing for standup, so I’ve run the gamut of topics that I’ve written about. Nobody wants to come to watch somebody tell jokes about the same topic all the time, so I try to keep things fresh. Everything I write does stay within the realm of comedy though. Outside of that though, I don’t have a particular subject matter that I’m usually writing. It could be anything from Paula Dean to deli meat to how to end world hunger with Paula Dean and deli meat. Great! What is your usual writing routine like (if you have one?) Make words. Delete those words because they suck. Write new words that are marginally better. Walk away and think of better words. Rush back to the computer to use those better words. Realize I’ve already forgotten those words. Weep quietly. Repeat. Being a writer in tech can be a challenge. It’s not often our main role, but an addition to another one. What is the biggest challenge you have when it comes to writing? Trying to capture my voice in my writing. It’s a challenge, but it’s also a big part of the fun of writing for me. At least that way if I write something that sucks, I know that it sucks in a way that is uniquely my own. Basically, the biggest challenge is making sure my writing doesn’t read like the directions on the back of a Hot Pocket container. The succinct Hot Pocket-style list of steps I wrote in the previous section doesn’t count because I stole that template from a Bagel Bites container. What is the next thing you hope to achieve in your career? This. Seriously! I love getting work as a comic, but I love writing just as much. I’m really putting everything I have into getting more writing jobs and really growing my portfolio. I don’t want to just make drunk people laugh in bars; I want to make wine-drunk suburban moms laugh in Cheesecake Factories. I enjoy writing for a tech niche, but I want to dip my toes in everything. What’s that, Hacker Noon reader? You’re reading this and you want to pay me to write your snail’s obituary, but from the perspective of Robert E. Lee? The answer is “yes”. Wow, that’s admirable. Now, something more casual: What is your guilty pleasure of choice? Hot. Garbage. Television. Love Island, 90 Day Fiancé, Here Comes Honey Boo Boo’s Incarcerated Cousin’s Sister Wives’ 600 lb. Life; basically any show that has hot dumpster fires of people, I’m all about it. Do you have a non-tech-related hobby? If yes, what is it? Cooking! Ever since I was a kid, I’ve loved the kitchen. While all the other kids were watching Pokemon, I was watching Essence of Emeril. I mean, I was watching Pokemon too, but Ash doesn’t know shit about becoming the very best Jambalaya master. That love of cooking has stayed with me, though. My palette and waistline have since expanded. What can the Hacker Noon community expect to read from you next? I’ve got a lot of ideas kicking around in my head! Right now there are video games, Simulation Hypothesis, and cryptozoology all bouncing around my frontal cortex. I’ll probably end up baking them all together into one story, creating the literary equivalent of an Arby’s Meat Mountain. It’ll be bad for your brain, there may be no real substance to it, but you’ll have heart palpitations by the time you finish. Thanks for taking time to join our “Meet the writer” series. It was a pleasure. Do you have any closing words? Smash that motha’ lovin’ “Like” button! Well, there’s not a “Like” button, but seriously, if you like any of my writing, I’m doing it all the time in one form or another. I’ve always got some sort of comedic endeavor in the works, so if you like my stuff or just hate my stuff and want to watch my life fall apart in a downward spiral, then follow my socials and see what I’m up to!

Craig Williams is a Comedian and the Curator of Your Wasted Time

With the rising quantity of content on the internet, thanks to the boom of the creator economy, we are now at the age of information overload. Present-day AI is not yet powerful to wade through the vast information universe and provide content with context and intent. Curators are humans who bridge this gap by curating relevant information from the vastness of information available to us. Over the years, curators have become a vital part of information commerce. The curator economy is booming, and several businesses have proved it to be sustainable business. This article looks at the context of the curator economy, why it is important, and its present state in the age of information overload. The Boom of Creator Economy With the rising popularity of social media and the internet, the creator economy is at an all-time high. In 2021 alone, the creator economy has seen a . The cost of creating content continues to go down as more content creators appear online. The shift of content creation from big corporations to independent small creators around the globe has resulted in an age where we are overloaded with the vast availability of information. Decentralized and democratized content on the internet is driving this creator boom. record funding of $1.3 billion Age of Information Overload With the . The information you want to read is already there but is buried in the vast piles of articles, videos, and blog posts. We are currently in an era overloaded with information. Every day we are bombarded with the never-ending streams of irrelevant content, and it is easy to get lost in that. Here are to give you some context: creator economy booming, sorting content from the vast universe of information is becoming harder day by day some numbers 300 hours of video is uploaded on YouTube every minute in 2021. 90% of the data on the internet has been created since 2016. By the end of 2020, 44 of data made up the entire digital universe growing at the rate of 1.7 Mb per second per person. Zettabytes Every day 306.4 billion emails are sent, and 500 million tweets are made. Rise of Algorithms vs. Human Curation The rise of algorithms replacing humans in curating content started to gain some traction 20 years ago. for curating product recommendations to users. Algorithms play a major role in the content that we see on the internet today. Amazon replaced humans with algorithms Algorithms drive 70% of content on YouTube today. Even though algorithms powered by AI are curating large chunks of content for users, the future of content is human to human. Human-to-Human interaction always wins over the logic of algorithms. The AI at present is limited in terms of context when it comes to curation. The main aim of AI is to make users stay on the platform as long as possible. The big difference between AI and humans is the intent behind it. Even though humans are inefficient in processing large chunks of information like AI, a human can bring context to information. A human can analyze content, find common themes, and display only the relevant information. . Every curator is different as his/her skills and knowledge are different. So is the curator’s audience. These all factors create a unique combination that cannot be replaced by the AI advancement we have now. Even though AI is here to stay, as of now, it cannot replace human curation The Birth of Curator Economy Curation of content enables users to understand, explore and make sense of the topic or issue by organizing the best available information sources on the internet. When the information is served with a context, insights can be easily drawn, saving time and effort. Curation is one of the : Creation, Curation, and Consumption. Curation requires time and proper attention to sort through hundreds of articles and posts to recommend information. , and over the years, curation has become a sustainable business. As mentioned earlier, curation requires some effort, and curators often monetize their work for this. To give you some idea of the current state of the content curation economy, here are some examples: 3 Cs of information commerce The curation economy is booming on charges $8/month to get access to curated Spotify lists. FlowState Substack charges $5/month to access weekly article recommendations. The Browser currently has 10000+ subscribers who pay them annually. The Browser has 33,000+ subscribers and generates around $11,000 per month. The Generalist is a free newsletter that sends interesting things daily to your inbox, has over 100,000 subscribers, and makes around $1500 per month from patrons. NowIKnow has 1000+ paid subscribers within the first month of going premium. Everything Bundle Why Content Curation is Important Based on my experience and research, here’s a list of reasons what makes content curation important: Information is growing at an all-time high rate every day. There are multiple blogs, social channels, and news sources launched every day. This makes finding relevant content more and more difficult. With the rising information tsunami, it becomes hard for people who are inexperienced or new to the internet to identify reliable sources of information. If not checked properly, users are served with spam on misleading content. Webmasters and creators are concerned over the visibility on various platforms, thereby optimizing titles and content for search engine optimization. This often leads to spammy content with clickbaity titles and no relevance. Since the average free time for a person is decreasing, it is essential to only deliver and consume content that is precise, concise, and relevant. To get a grasp of the whole idea, some content usually needs to be contextualized. How to Become a Content Curator A content curator is someone who wades through the vastness of information, chooses the best content, and presents it in a context to the audience. Proper curation is about understanding the limited amount of time and attention span of the audience that is consuming the content. Best content creators consume large chunks of information, render the best from it to concise pieces of information by highlighting it to the audience. I follow the steps below for curation: Since curation requires expertise and knowledge, I read extensively ever since I started the newsletter. Every week I read 40+ newsletters, 70+ articles, 2 books and watch 20+ informative or documentary-style videos. Every time I consume an interesting piece of information that triggers my curiosity, I create a note about it on my Knowledge Management platform, . Obsidian On Fridays, from the long list of ideas, I finely curate 11 outstanding stories to create a skeleton for the newsletter. Every story featured will be cross-checked to ensure factual accuracy. Content finalized on Friday will be elaborated on Saturday with further information to match the style and context of the newsletter. Grammar check and readability tests are done to ensure content is delivered in the best possible way to the audience. Conclusion The concept of the curator economy is not new and has been discussed over the years as the future of content. Curation can eventually build a personal brand or audience. Data has shown the content curation is booming and is a sustainable source of income. “The future is in the intersection of Content Curation, Knowledge Management and Community”. This concept of Curator Economy is not an original idea and was inspired by researching various articles, research notes, and blog posts from the internet. Check out to learn about 11 interesting things every week. my newsletter Also published on . https://rishikeshs.com/curator-economy/

Why Human Curators Still Matter

Restoring Yesterday’s “Computer System of Tomorrow”: A Conversation with Curator & Xerox Alto…

Delivering truth was never about facts. Throughout history, from traditions to search engines and now language models, there has always been an algorithmic gatekeeper. Not necessarily deliberate, or digital, or expected. Delivering truth was never about facts. Throughout history, from traditions to search engines and now language models, there has always been an algorithmic gatekeeper. Not necessarily deliberate, or digital, or expected. In the book 1984, the protagonist Winston Smith works for the Ministry of Truth. His job is to rewrite historical records so they match the Party’s current narrative. As Orwell wrote: 1984 “Day by day and almost minute by minute the past was brought up to date… nor was any item of news, or any expression of opinion, which conflicted with the needs of the moment, ever allowed to remain on record.” “Day by day and almost minute by minute the past was brought up to date… nor was any item of news, or any expression of opinion, which conflicted with the needs of the moment, ever allowed to remain on record.” It was 1948 when Orwell wrote those words. Alternative truth is not a modern invention. What’s changing is the mechanism. What Orwell described as bureaucratic editing, we now recognize as algorithmic alignment, an evolving system that shapes what we perceive as true by optimizing toward a goal. These algorithms have existed long before code was invented, throughout all of history. Two things are worth noting. First, while our cognitive wiring hasn’t evolved much, the algorithms for transferring and shaping information have changed radically across eras. Second, these algorithms aren’t necessarily engineered by an evil mastermind. Often they emerge from a hodge-podge of ego, culture, economy, and technology. What is an algorithmic truth-control system?A truth-control algorithm is any structured, goal-driven method, whether emergent or intentional, that filters, prioritizes, or frames information in a way that directs the perception of reality at scale. Code is an obvious example, but religion, fashion, and news editors also fall into this category. What they share is alignment: optimizing the communication system to meet a goal. Whether that goal is cohesion, power or profit, it bends what people perceive as “true.” What is an algorithmic truth-control system?A truth-control algorithm is any structured, goal-driven method, whether emergent or intentional, that filters, prioritizes, or frames information in a way that directs the perception of reality at scale. Code is an obvious example, but religion, fashion, and news editors also fall into this category. What they share is alignment: optimizing the communication system to meet a goal. Whether that goal is cohesion, power or profit, it bends what people perceive as “true.” What is an algorithmic truth-control system?A truth-control algorithm is any structured, goal-driven method, whether emergent or intentional, that filters, prioritizes, or frames information in a way that directs the perception of reality at scale. Code is an obvious example, but religion, fashion, and news editors also fall into this category. What they share is alignment: optimizing the communication system to meet a goal. Whether that goal is cohesion, power or profit, it bends what people perceive as “true.” What is an algorithmic truth-control system?A truth-control algorithm is any structured, goal-driven method, whether emergent or intentional, that filters, prioritizes, or frames information in a way that directs the perception of reality at scale. Code is an obvious example, but religion, fashion, and news editors also fall into this category. What they share is alignment: optimizing the communication system to meet a goal. Whether that goal is cohesion, power or profit, it bends what people perceive as “true.” What is an algorithmic truth-control system?A truth-control algorithm is any structured, goal-driven method, whether emergent or intentional, that filters, prioritizes, or frames information in a way that directs the perception of reality at scale. Code is an obvious example, but religion, fashion, and news editors also fall into this category. What they share is alignment: optimizing the communication system to meet a goal. Whether that goal is cohesion, power or profit, it bends what people perceive as “true.” What is an algorithmic truth-control system? A truth-control algorithm is any structured, goal-driven method, whether emergent or intentional, that filters, prioritizes, or frames information in a way that directs the perception of reality at scale. Code is an obvious example, but religion, fashion, and news editors also fall into this category. What they share is alignment: optimizing the communication system to meet a goal. Whether that goal is cohesion, power or profit, it bends what people perceive as “true.” Prehistory to 10,000 BC: Age of Relatives Before agriculture, humans lived in small bands of up to ~150 people. What scholars refer to as the Dunbar Number, a threshold beyond which human social cognition degrades. Reality perception was optimized for what humanoids excelled at. A resourceful, long-distance-running social animal. Focused on skill sharing, social bonding and group status. The “truth” lived in the mouths of parents, uncles, grandmothers, tribe elders, and the fireside tales repeated through generations. Dunbar Number Truth algorithm: Social Mechanisms Truth algorithm: Result: Evolution-aligned cohesion Result: 10,000 BC to 1500 AD: Mythological Leaders Agriculture led to settlement and surplus. Surplus led to population growth. Humans needed to organize beyond the Dunbar threshold, and the able and inclined got the opportunity to “cash out” on status. This gave rise to the supernatural story. Gods, empires, and divine kings became the anchors of truth. Myth held large groups together and dictated what is the “new-true”. Truth algorithm: Narrative Centralization Truth algorithm: Result: Obedience through story Result: 1500 to 1850: Many Books, Much Illiteracy Gutenberg’s printing press (~1450) ignited an information explosion. By 1500, over 20 million books had been printed, more than in the entire previous millennium. But while the quantity of knowledge exploded, access to it did not. Most people remained illiterate, and for them, the old algorithm of myth, channeled through religion, monarchy and nationalism, still held sway. 20 million This created a split in the truth landscape: for the literate few, new worldviews emerged, sparking the Scientific Revolution, Political Reformation and the Enlightenment. For the majority, perception remained rooted in the centralized narratives of divine and national authority. Truth algorithm: Decentralized Authorship Truth algorithm: Result: Competing worldviews Result: 1850 to 2000: Curators of News The birth of journalism, first through newspapers then radio and television, initiated the ability to curate on a daily basis the truth perceived by the public. Curation came with incentives. What made the front page wasn’t just fact; it was intention. Political and economic drama, scandals, crime and war made headlines because they were rare and emotionally charged; everyday acts of resilience or nuanced trends did not. They lacked immediacy and were harder to reduce into digestible headlines. Editors became the new algorithm. Optimizing for attention and sensational value. As literacy rates exploded in this period, the influence of editorial choices vastly outpaced the slower, more distributed influence of books in the previous era. Truth algorithm: Editorial Curation Truth algorithm: Result: Shaped mass opinion Result: 2000 to 2015: Personalized Web The shift of information creation and gathering from physical to digital birthed a new truth-shaping algorithm. Search. Ranking a small number of results by personalized relevance. Google Search changed the way people decide what to trust. Instead of asking, “Is this source reliable?” people began to assume, “If it’s at the top of Google, it must be true.” This shift gave Google’s algorithm and its user interface (which results appeared, how many, and how they were framed) an enormous influence over public understanding. The outcome was a widespread overconfidence in limited or one-sided information. It made popular or commercially optimized content seem like objective truth, and gradually pushed aside alternative or local viewpoints, even when those were more relevant or accurate. Unlike social media (discussed below), which often drives emotional reactions, Google’s impact was quieter: it made people more certain and uniform in their beliefs, not by convincing them directly, but by shaping what they saw first, and what they didn’t see at all. Truth algorithm: Search & UI Truth algorithm: Result: Flattened complexity Result: 2015 to 2025: Social (Anxiety) Social media changed the truth again. The stream of facts ceased “caring” about minimization, it became interested in emotions. Platforms like Facebook, Instagram, Twitter, TikTok and the good-old news optimize for time-on-site and monetization. What keeps you scrolling? Joy, humor and awe on the bright side, anxiety, outrage and envy on the dark side. This is part of the algorithm goal. Important to note the algorithm does not “care” or aim for emotions. This skewing of reality emerged, it was not engineered. You can probably guess which emotions the algorithm ended up preferring. Again, it doesn’t come from being gloomy, it comes from being tuned to generate revenues. Facebook’s own internal research (leaked in 2021) showed that posts generating negative affect, especially insecurity or anger, correlated with higher ad click rates. Other research and economic analysis supported these findings. It appears that triggering fear or self-comparison (envy) nudges users into identity-based purchasing behavior, buying things that restore perceived control, beauty, or safety. leaked in 2021 Truth algorithm: Emotional Engagement Truth algorithm: Result: Tribalization, anxiety Result: 2025 to 2030: Sycophantic GPTs The recent rise of AI brought a new kind of truth-bending algorithm to our lives. It is not a “ghost in the machine”. And not even the LLM model under the hood. It is the Chat in ChatGPT. Back in 2021, researchers from Google found that training LLMs to respond in ways preferred by humans made the models more usable. OpenAI (and others) implemented this into their (then) open source GPT models and the rest is history. Add to this RLHF (Reinforcement Learning from Human Feedback. Those “which answer do you prefer?” and thumbs up/down) and you get an algorithm trained to be liked by humans. Chat Back in 2021 Let’s repeat that. Not optimized for truth, but for likeability. likeability Sycophantic (using flattery in order to gain favor) GPTs are trained to avoid conflict, soften disagreement and reinforce user assumptions. Because this is what makes users return. This “you are amazing” feature works. People are already using GPTs primarily as guides on how to live and prefer GPTs to other sources of reliance. guides on how to live other sources of reliance It is still early in the GPT era. Business models are being developed. But we can speculate goals based on capitalism and psychology. Commercial companies are not really interested in returning users and time on site for its own sake. They are interested in revenues and profits. So what does the psychological research tell us of the side effects of sycophancy in relation to generating revenues? In one word – Compliance. The psychologists Crowne & Marlowe explained it in their 1960s foundational work: Compliance Crowne & Marlowe “Dependence on the approval of others should make it difficult to assert one’s independence, and so the approval‑motivated person should be susceptible to social influence, compliant, and conforming.” “Dependence on the approval of others should make it difficult to assert one’s independence, and so the approval‑motivated person should be susceptible to social influence, compliant, and conforming.” In other words: when the chat will start telling you what to buy, don’t be surprised if you feel compelled to obey. “It was so kind to me all this time. I’ll do what it asks”. Truth algorithm: Sycophantic Dialogue Truth algorithm: Result: Compliance Result: 2030 to 2032: Auto-Passivity Following the asymptotic trajectory of change, we can expect the next major algorithmic shift in about 5 years. It is a “distant” future, but I will venture a bit of speculation based on where the trend seems to be heading. Enter: automation. Your car will drive itself, grocery shopping, planning, booking, calendar, emails, minor negotiations (mobile carrier, gas company, insurance), scheduling dates, will all happen by an algorithm. Some doom-seer researchers argue that predictive systems remove “friction” from decision-making and it is a bad thing. As where friction is, reflection happens. If everything is auto-completed, thoughts, plans, purchases, we get agents but lose agency. researchers I politely disagree. I think the passivity algorithm will do two things. Yes – it will allow the controllers to direct what the autonomous agents are doing, what we buy, where we go on vacation. But it will be like shopping from a shopping list. If we are freed from having emotions involved in many decisions, we become less “decision fatigued”. And this is a very good thing. We will make better, less impulsive and less manipulated decisions, where it actually matters to us. Truth algorithm: Passive Delegation Truth algorithm: Result: Decision fatigue relief Result: Wanted: Algosubjectivity Algorithm changes. Multiple truths. Few things emerge: The pace of algo-truth modification is accelerating. From millennia, to centuries, to decades to years.
The conductor of most, if not all algorithms, from the source to the minds of people, has been language. Truth can be out there, but when mediated through language, it becomes sensitive to the algorithm which modifies it towards the receiving end.
An algorithm, even digital, does not need to be a sophisticated code. User Interfaces are very powerful manipulators (as seen in search and chat-based AIs).
Emergent truth-control algorithms don’t announce themselves. They emerge from incentives, profit, attention, comfort, and they “ride” our cognitive flaws. The pace of algo-truth modification is accelerating. From millennia, to centuries, to decades to years. The conductor of most, if not all algorithms, from the source to the minds of people, has been language. Truth can be out there, but when mediated through language, it becomes sensitive to the algorithm which modifies it towards the receiving end. An algorithm, even digital, does not need to be a sophisticated code. User Interfaces are very powerful manipulators (as seen in search and chat-based AIs). Emergent truth-control algorithms don’t announce themselves. They emerge from incentives, profit, attention, comfort, and they “ride” our cognitive flaws. If we see them as a problem, the solution is not to preach for building “safer” algorithms. This is naive wishful thinking. The solution would be in personalizing truth. Having language-bypassing tools that will manipulate our interaction with the world towards our subjective interests. Prehistoric, ancient, medieval, and recent people did not have the ability to filter what was fed to them. We might be on the verge of change.

The Truth Algorithm: From Fire Circles to ChatGPT, a History of Thought Engineering

Die waarheid algoritme: van vuurkringe na ChatGPT, 'n geskiedenis van denke ingenieurswese

“The Truth Algorithm: From Fire Circles to ChatGPT: A History of Thought Engineering” (Təfsir algoritması: Ateş çərşəklərindən ChatGPT-ə, düşüncə mühitinin tarixinə)

Алгоритъмът на истината: от огнен кръг до ChatGPT, история на мисълта

সত্য অ্যালগরিদম: Fire Circles থেকে ChatGPT, একটি ইতিহাস চিন্তা প্রকৌশল

El algoritmo de la verdad: de los círculos de fuego a ChatGPT, una historia de la ingeniería del pensamiento

The Truth Algorithm: From Fire Circles to ChatGPT: A History of Thought Engineering(真理のアルゴリズム:火の輪からチャットGPT、思考エンジニアリングの歴史)

Алгоритам на вистината: Од огнените кругови до ChatGPT, историја на инженерството на мислата

د حقیقت algorithm: له Fire Circles ته ChatGPT، د فکر انجنيرۍ د تاریخ

Algoritmul adevărului: De la cercurile de foc la ChatGPT, o istorie a ingineriei gândirii

Алгоритм истины: от огненных кругов до ChatGPT, история инженерного мышления

The Truth Algorithm: From Fire Circles to ChatGPT, A History of Thought Engineering (← bağlantılar  değiştir)

Algorithms: From Fire Circles to ChatGPT, a History of Thought Engineering / Algoritma həddini: From Fire Circles to ChatGPT, a History of Thought Engineering

Interrogating AI Bias with the Laissez-Faire Prompts Dataset

This article systematically outlines the general process for setting up a local debugging environment for Apache DolphinScheduler in IDEA, including environment preparation, code configuration, service startup, and other core steps for reference. 1. Basic Component Preparation 1. JDK: v1.8.x (currently does not support JDK 11)  
2. Maven: v3.5+  
3. Node.js: v18.19.1+, install pnpm  
// Global installation  
npm install pnpm -g  
// Check registry  
pnpm config get registry  
// Switch to Taobao registry  
pnpm config set registry https://registry.npmmirror.com/  

4. Zookeeper: 3.6.3 (this version is used by big data platforms, DS reuses the platform's Zookeeper). When using the latest DS, it uses curator 5.3.0  
Curator 5.0 supports Zookeeper 3.6.X, no longer supports Zookeeper 3.4.X  
Curator 4.X supports Zookeeper 3.5.X, with soft compatibility for 3.4.X  
Curator 2.X supports Zookeeper 3.4.X  

5. MySQL version check:  
mysql> select version();  
+-----------+  
| version() |  
+-----------+  
| 5.7.44    |  
+-----------+  
1 row in set (0.00 sec) 1. JDK: v1.8.x (currently does not support JDK 11)  
2. Maven: v3.5+  
3. Node.js: v18.19.1+, install pnpm  
// Global installation  
npm install pnpm -g  
// Check registry  
pnpm config get registry  
// Switch to Taobao registry  
pnpm config set registry https://registry.npmmirror.com/  

4. Zookeeper: 3.6.3 (this version is used by big data platforms, DS reuses the platform's Zookeeper). When using the latest DS, it uses curator 5.3.0  
Curator 5.0 supports Zookeeper 3.6.X, no longer supports Zookeeper 3.4.X  
Curator 4.X supports Zookeeper 3.5.X, with soft compatibility for 3.4.X  
Curator 2.X supports Zookeeper 3.4.X  

5. MySQL version check:  
mysql> select version();  
+-----------+  
| version() |  
+-----------+  
| 5.7.44    |  
+-----------+  
1 row in set (0.00 sec) 2. Initialization 2.1 Initialize Database source /Users/xxx/IdeaProjects/dolphinscheduler/dolphinscheduler-dao/src/main/resources/sql/dolphinscheduler_mysql.sql; source /Users/xxx/IdeaProjects/dolphinscheduler/dolphinscheduler-dao/src/main/resources/sql/dolphinscheduler_mysql.sql; 2.2 Key Configurations in common.properties # Local directory for storing scripts  
data.basedir.path=/tmp/dolphinscheduler  

# Storage medium selection (e.g., HDFS); for resource center and tenant directories  
resource.storage.type=HDFS  

# Root directory of resource center  
resource.storage.upload.base.path=/dolphinscheduler  

# User for HDFS operations (typically hdfs user)  
resource.hdfs.root.user=hdfs  

# HDFS defaultFS (for HA mode, place core-site.xml and hdfs-site.xml in resources folder)  
resource.hdfs.fs.defaultFS=hdfs://10.253.26.85:8020  

# Development mode (recommended for easier troubleshooting)  
development.state=true  

# YARN port  
resource.manager.httpaddress.port=8088  

# For YARN HA, configure multiple IPs separated by commas  
yarn.resourcemanager.ha.rm.ids=  

# For single YARN, replace ds1 with YARN IP; leave unchanged for HA mode  
yarn.application.status.address=http://ds1:%s/ws/v1/cluster/apps/%s # Local directory for storing scripts  
data.basedir.path=/tmp/dolphinscheduler  

# Storage medium selection (e.g., HDFS); for resource center and tenant directories  
resource.storage.type=HDFS  

# Root directory of resource center  
resource.storage.upload.base.path=/dolphinscheduler  

# User for HDFS operations (typically hdfs user)  
resource.hdfs.root.user=hdfs  

# HDFS defaultFS (for HA mode, place core-site.xml and hdfs-site.xml in resources folder)  
resource.hdfs.fs.defaultFS=hdfs://10.253.26.85:8020  

# Development mode (recommended for easier troubleshooting)  
development.state=true  

# YARN port  
resource.manager.httpaddress.port=8088  

# For YARN HA, configure multiple IPs separated by commas  
yarn.resourcemanager.ha.rm.ids=  

# For single YARN, replace ds1 with YARN IP; leave unchanged for HA mode  
yarn.application.status.address=http://ds1:%s/ws/v1/cluster/apps/%s 2.3 Configure application.yaml for Each Service Note: Mainly configure Zookeeper connection address and MySQL address (details omitted). Mainly configure Zookeeper connection address and MySQL address (details omitted) 2.4 Configure logback-spring.xml for Each Service Set <appender-ref ref="STDOUT"/> for console output. <appender-ref ref="STDOUT"/> Here's the line-by-line English translation: 3. Component Startup 1) MasterServer:
Execute the main method of org.apache.dolphinscheduler.server.master.MasterServer in IntelliJ IDEA,
with VM Options:
-Dlogging.config=classpath:logback-spring.xml 
-Ddruid.mysql.usePingMethod=false 
-Dspring.profiles.active=mysql

2) WorkerServer:
Execute the main method of org.apache.dolphinscheduler.server.worker.WorkerServer in IntelliJ IDEA,
with VM Options:
-Dlogging.config=classpath:logback-spring.xml 
-Ddruid.mysql.usePingMethod=false 
-Dspring.profiles.active=mysql

3) ApiApplicationServer:
Execute the main method of org.apache.dolphinscheduler.api.ApiApplicationServer in IntelliJ IDEA,
with VM Options:
-Dlogging.config=classpath:logback-spring.xml 
-Dspring.profiles.active=api,mysql

After startup, you can browse OpenAPI documentation at:
http://localhost:12345/dolphinscheduler/swagger-ui/index.html

4) Frontend:
cd dolphinscheduler-ui
pnpm install
pnpm run dev

Error encountered:
qiaozhanwei@ dolphinscheduler-ui % pnpm run dev
> dolphinscheduler-ui@0.0.0 dev /Users/qiaozhanwei/IdeaProjects/dolphinscheduler/dolphinscheduler-ui 
> vite

error when starting dev server:
Error: listen EADDRNOTAVAIL: address not available 192.168.1.4:5173
    at Server.setupListenHandle [as _listen2] (node:net:1313:21)
    at listenInCluster (node:net:1378:12)
    at GetAddrInfoReqWrap.doListen [as callback] (node:net:1516:7)
    at GetAddrInfoReqWrap.onlookup [as oncomplete] (node:dns:73:8)

Code modification:
On Mac, find IP address in terminal using command:
ipconfig getifaddr en0

After finding IP address, locate vite.config.ts file in project and modify as follows:

import { defineConfig } from 'vite'
import vue from '@vitejs/plugin-vue'

// https://vitejs.dev/config/
export default defineConfig({
    plugins: [vue()],
    base:'/',
    server:{
        host:'192.168.x.x',
        port:'5173',
        https:'false',
        open:'true',
        hmr:{
            protocol:'ws',
            host:'192.168.x.x'
        },
    }
})

Login URL:
http://10.x.x.x/login 
Use credentials admin/dolphinscheduler123 to login 1) MasterServer:
Execute the main method of org.apache.dolphinscheduler.server.master.MasterServer in IntelliJ IDEA,
with VM Options:
-Dlogging.config=classpath:logback-spring.xml 
-Ddruid.mysql.usePingMethod=false 
-Dspring.profiles.active=mysql

2) WorkerServer:
Execute the main method of org.apache.dolphinscheduler.server.worker.WorkerServer in IntelliJ IDEA,
with VM Options:
-Dlogging.config=classpath:logback-spring.xml 
-Ddruid.mysql.usePingMethod=false 
-Dspring.profiles.active=mysql

3) ApiApplicationServer:
Execute the main method of org.apache.dolphinscheduler.api.ApiApplicationServer in IntelliJ IDEA,
with VM Options:
-Dlogging.config=classpath:logback-spring.xml 
-Dspring.profiles.active=api,mysql

After startup, you can browse OpenAPI documentation at:
http://localhost:12345/dolphinscheduler/swagger-ui/index.html

4) Frontend:
cd dolphinscheduler-ui
pnpm install
pnpm run dev

Error encountered:
qiaozhanwei@ dolphinscheduler-ui % pnpm run dev
> dolphinscheduler-ui@0.0.0 dev /Users/qiaozhanwei/IdeaProjects/dolphinscheduler/dolphinscheduler-ui 
> vite

error when starting dev server:
Error: listen EADDRNOTAVAIL: address not available 192.168.1.4:5173
    at Server.setupListenHandle [as _listen2] (node:net:1313:21)
    at listenInCluster (node:net:1378:12)
    at GetAddrInfoReqWrap.doListen [as callback] (node:net:1516:7)
    at GetAddrInfoReqWrap.onlookup [as oncomplete] (node:dns:73:8)

Code modification:
On Mac, find IP address in terminal using command:
ipconfig getifaddr en0

After finding IP address, locate vite.config.ts file in project and modify as follows:

import { defineConfig } from 'vite'
import vue from '@vitejs/plugin-vue'

// https://vitejs.dev/config/
export default defineConfig({
    plugins: [vue()],
    base:'/',
    server:{
        host:'192.168.x.x',
        port:'5173',
        https:'false',
        open:'true',
        hmr:{
            protocol:'ws',
            host:'192.168.x.x'
        },
    }
})

Login URL:
http://10.x.x.x/login 
Use credentials admin/dolphinscheduler123 to login 4. Version 2.x Component Startup api server:
-Dlogging.config=classpath.logback-api.xml 
-Ddruid.mysql.usePingMethod=false 
-Dspring.profiles.active="default,api,mysql"

master:
-Dlogging.config=classpath.logback-master.xml 
-Ddruid.mysql.usePingMethod=false 
-Dspring.profiles.active="default,master,mysql"

worker:
-Dlogging.config=classpath.logback-worker.xml 
[Note:The worker configuration appears to be truncated in original text] api server:
-Dlogging.config=classpath.logback-api.xml 
-Ddruid.mysql.usePingMethod=false 
-Dspring.profiles.active="default,api,mysql"

master:
-Dlogging.config=classpath.logback-master.xml 
-Ddruid.mysql.usePingMethod=false 
-Dspring.profiles.active="default,master,mysql"

worker:
-Dlogging.config=classpath.logback-worker.xml 
[Note:The worker configuration appears to be truncated in original text]

Your Guide to Getting Apache DolphinScheduler Running Locally (Without Breaking Stuff)

HONG KONG, Hong Kong, April 15th, 2025/Chainwire/--TermMax is excited to announce the official mainnet launch on Ethereum and Arbitrum, going live on April 15, 2024. TermMax is set to redefine decentralized finance (DeFi) by offering the most efficient leverage solution - fixed-rates borrowing and lending with a single click. The extended features include one-click looping positioning, range orders, and customizable pricing curves. Think of TermMax as Uniswap V3 for borrowing and lending—a platform that combines the flexibility of Uniswap V3 with a V4 upgrade in the near future. How TermMax Solves Key DeFi Challenges TermMax is designed to address key challenges faced by DeFi users, streamlining the borrowing, lending, and leveraging experience. Here's how it solves these issues: Complex Leveraged Yield Strategies – TermMax offers one-click looping, eliminating multi-step transactions across protocols.
Uncertain Floating Rates – Fixed-rate borrowing with set maturity dates for predictable costs.
Limited Pricing Flexibility – Customizable range orders let users set their own borrowing and lending rates and define their own slippage.
Collateral Restrictions – A flexible liquidation mechanism (including physical delivery of collaterals) supports RWAs and low-liquidity assets while protecting lenders.
Inefficient Market Making – The market-making console allows market makers and curators to quote lend-only, borrow-only, or two-way prices. Complex Leveraged Yield Strategies – TermMax offers one-click looping, eliminating multi-step transactions across protocols. Uncertain Floating Rates – Fixed-rate borrowing with set maturity dates for predictable costs. Limited Pricing Flexibility – Customizable range orders let users set their own borrowing and lending rates and define their own slippage. Collateral Restrictions – A flexible liquidation mechanism (including physical delivery of collaterals) supports RWAs and low-liquidity assets while protecting lenders. Inefficient Market Making – The market-making console allows market makers and curators to quote lend-only, borrow-only, or two-way prices. TermMax’s Vision: Building the Future of Fixed-Income Markets The global financial markets exceed $100 trillion in fixed income and over $600 trillion in rate derivatives, yet DeFi’s fixed-rate market remains under $20 billion. This highlights an immense growth opportunity, and TermMax is at the forefront of this expansion. By creating an entire credit market for each token pair, TermMax aims to replicate real-world fixed-income markets in the crypto space. Join the Revolution: Mainnet is Live TermMax invites the DeFi community to experience the future of borrowing and lending on its mainnet. With its innovative solutions and user-friendly platform, TermMax is set to transform the DeFi landscape, making leveraged yield strategies more accessible and profitable for all. An exciting incentive program for early adopters is on the way. TermMax TermMax Additionally, they're introducing TSI (Term Structure Institutional), a KYC-compliant, institution-only fixed-rate borrowing and lending Electronic Communication Network (ECN). TSI TSI Built on Fireblocks' MPC wallet infrastructure, TSI provides a seamless and secure solution for institutional participants. For more information, users can visit TermMax’s website and join the conversation on X, Telegram, or Discord. TermMax’s website TermMax’s website X X Telegram Telegram Discord Discord Contact Novalia novalia.wi@tkspring.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

TermMax Announces Mainnet Launch –Revolutionizing DeFi Borrowing And Lending

TermMax تعلن عن إطلاق Mainnet -إعادة الثورة في الحصول على القروض والتمويل من DeFi

“TermMax” şirkəti “Mainnet” şirkəti ilə işə başlayıb – “DeFi Borçlanma və Borçlanma”a revolucionarlik verib

টার্মমম্যাক্স Mainnet লঞ্চ ঘোষণা করে – DeFi ঋণ এবং ঋণ বিপ্লব

TermMax anuncia el lanzamiento de Mainnet - Revolucionando el préstamo y el préstamo de DeFi

TermMax annonce le lancement de Mainnet – révolutionnant l’emprunt et le prêt de DeFi

TermMax Mengumumkan Peluncuran Mainnet –Memodifikasi Pinjaman dan Pinjaman DeFi

TermMax Mainnet Launch –Revolutionizing DeFi Borrowing and Lendingを発表

TermMax បាននិយាយអំពីការចាប់ផ្តើម Mainnet - ការច្នៃប្រឌិតអំពីការទូទាត់និងការទូទាត់ DeFi

TermMax Mainnet Launch –Revolutionizing DeFi Borrowing and Lending을 발표합니다.

I-TermMax Inikeza I-Mainnet Launch – I-Revolutionizing DeFi Borrowing And Lending

Ethereum Is More Than Crypto. It’s a Machine for Making Worlds

How Giza Is Transforming DeFi with Autonomous AI Agents: The Rise of Autonomous Finance

Hvordan Giza omdanner DeFi med autonome AI-agenter: Fremkomsten af autonome finansiering

Cómo Giza está transformando DeFi con agentes autónomos de IA: El auge de las finanzas autónomas

Miten Giza muuttaa DeFiä autonomisilla AI-agentteilla: autonomisen rahoituksen nousu

Comment Giza transforme DeFi avec des agents d'IA autonomes: la montée de la finance autonome

ギザが自律型AIエージェントでDeFiを変革する方法：自律型金融の台頭

Yé Yé Yé Yé Yé Yé Yé Yé Yé

Kaip Giza transformuoja DeFi su autonominiais AI agentais: autonominių finansų kilimas

Како Гиза го трансформира DeFi со автономни агенти со вештачка интелигенција: Подемот на автономните финансии

วิธี Giza จะเปลี่ยน DeFi ด้วยตัวแทนอัจฉริยะอัจฉริยะอัตโนมัติ: การเติบโตของการเงินอัตโนมัติ

Як Giza трансформує DeFi з автономними агентами AI: зростання автономного фінансування

گیزا خود مختار AI ایجنٹوں کے ساتھ DeFi کو کیسے تبدیل کر رہا ہے: خود مختار مالیات کا عروج

I-Giza Iguqula Kanjani I-DeFi Nge-Autonomous AI Agents: Ukunyuka Kwezimali Ezizimele

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