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“It was the 24th of October That day 21% of Upwork employees always remember, yes they will 'Cause that was the day that they lost their jobs” The news about one-out-of-five layoffs at Upwork shook the remote work community to the core. The exact scope of the layoff is unclear, but based on Upwork’s reported 800 employees at the end of 2023, the 21% cut will likely hit at least 160 workers. Was it necessary? Could it have been avoided? Upwork expects to save $60 million a year from the announced cost cuts. The stock markets reacted almost immediately, in a matter of hours. The gig-economy specialist's share price was up 22.6% as of 11 a.m. ET. When you put it like this, you don’t get the full picture: So, How Many People Work at Upwork? I asked this question on Reddit. My source was Backlinko: The trouble with getting the exact number is related to freelancers who work on Upwork for Upwork. I had to ask one more question. WTF is GSV?! Indeed, an interesting market reaction, and an even more interesting graph: I didn’t have to wait long for an answer: OK. I get it. Moving on. How Upwork Feels About All These Job Kills? I don’t know about you, but Upwork’s sense of humor on X, a day before the layoffs announcement was really something. I didn’t get it then, and I don’t get it now. So, I decided to fix it for them: As you might’ve expected, the official Upwork Community reacted, as well. I had to fact-check this Upwork Community member, my fellow freelancer. This is what I found: “The estimated Net Worth of Hayden Brown is at least  $24.1 Million dollars as of 18 August 2024. Ms. Brown owns over 58,046 units of Upwork Inc stock worth over $11,243,016 and over the last 6 years she sold UPWK stock worth over $1,348,852. In addition, she makes $11,530,900 as President, Chief Executive Officer, and Director at Upwork Inc.” A “decent salary” and “a drop in the ocean.” Nuff said. Now, to our space-cowboy friend. Dear Elon Musk, Let’s Make Upwork Your Next Takeover Task! From a space explorer to our planet’s savior. People don’t lack imagination in their propositions to Elon Musk to save this or that by buying all kinds of things and companies. I saw one tweet from a guy asking Elon to buy the umbrella company, which owns all dating apps, and save the dating market. I mean, of all the suggestions this one perfectly aligns with Elon’s plans to tackle the declining population problem. But, let’s get back to Upwork. I thought to tweet my suggestion. Elon, buy Upwork, and make remote work great again. But, he already had other plans: So, X is now a job search platform, officially. This is one of the latest new features. The app that does everything. Hmm, where did I see that? Let’s ask Wikipedia: “WeChat has been described as China's "app for everything" and a super-app because of its wide range of functions.[10] WeChat provides text messaging, hold-to-talk voice messaging, broadcast (one-to-many) messaging, video conferencing, video games, mobile payment, sharing of photographs and videos and location sharing.” Shortly before buying Twitter, Musk wrote: “Buying Twitter is an accelerant to creating X, the everything app.” The everything app, indeed. And, Elon Musk is doing everything to elect the next President of the United States. So, it seems that Upwork will have to wait because it’s definitely not on Elon Musk’s plate. “It was the 24th of October That day 21% of Upwork employees always remember, yes they will 'Cause that was the day that they lost their jobs” The news about one-out-of-five layoffs at Upwork shook the remote work community to the core. news about one-out-of-five layoffs at Upwork The exact scope of the layoff is unclear, but based on Upwork’s reported 800 employees at the end of 2023, the 21% cut will likely hit at least 160 workers. The exact scope of the layoff is unclear, but based on Upwork’s reported 800 employees at the end of 2023, the 21% cut will likely hit at least 160 workers. reported at least 160 workers. Was it necessary? Could it have been avoided? Upwork expects to save $60 million a year from the announced cost cuts. Upwork expects to save $60 million a year from the announced cost cuts. save $60 million a year The stock markets reacted almost immediately, in a matter of hours. The gig-economy specialist's share price was up 22.6% as of 11 a.m. ET. The gig-economy specialist's share price was up 22.6% as of 11 a.m. ET. share price was up 22.6% When you put it like this, you don’t get the full picture: So, How Many People Work at Upwork? I asked this question on Reddit. My source was Backlinko: The trouble with getting the exact number is related to freelancers who work on Upwork for Upwork. I had to ask one more question. WTF is GSV?! Indeed, an interesting market reaction, and an even more interesting graph: I didn’t have to wait long for an answer: OK. I get it. Moving on. How Upwork Feels About All These Job Kills? I don’t know about you, but Upwork’s sense of humor on X, a day before the layoffs announcement was really something. I didn’t get it then, and I don’t get it now. So, I decided to fix it for them: As you might’ve expected, the official Upwork Community reacted, as well. I had to fact-check this Upwork Community member, my fellow freelancer. This is what I found: “The estimated Net Worth of Hayden Brown is at least  $24.1 Million dollars as of 18 August 2024. Ms. Brown owns over 58,046 units of Upwork Inc stock worth over $11,243,016 and over the last 6 years she sold UPWK stock worth over $1,348,852. In addition, she makes $11,530,900 as President, Chief Executive Officer, and Director at Upwork Inc. ” Upwork Inc stock In addition, she makes $11,530,900 as President, Chief Executive Officer, and Director at Upwork Inc. A “decent salary” and “a drop in the ocean.” Nuff said. Now, to our space-cowboy friend. Dear Elon Musk, Let’s Make Upwork Your Next Takeover Task! From a space explorer to our planet’s savior. People don’t lack imagination in their propositions to Elon Musk to save this or that by buying all kinds of things and companies. I saw one tweet from a guy asking Elon to buy the umbrella company, which owns all dating apps, and save the dating market. I mean, of all the suggestions this one perfectly aligns with Elon’s plans to tackle the declining population problem. But, let’s get back to Upwork. I thought to tweet my suggestion. Elon, buy Upwork, and make remote work great again. But, he already had other plans: So, X is now a job search platform, officially. This is one of the latest new features. The app that does everything. Hmm, where did I see that? Let’s ask Wikipedia: “WeChat has been described as China 's "app for everything" and a super-app because of its wide range of functions. [10] WeChat provides text messaging, hold-to-talk voice messaging, broadcast (one-to-many) messaging, video conferencing, video games, mobile payment, sharing of photographs and videos and location sharing.” China super-app [10] Shortly before buying Twitter, Musk wrote: “Buying Twitter is an accelerant to creating X, the everything app.” Shortly before buying Twitter, Musk wrote: “ Buying Twitter is an accelerant to creating X, the everything app .” Buying Twitter is an accelerant to creating X, the everything app The everything app, indeed. And, Elon Musk is doing everything to elect the next President of the United States. So, it seems that Upwork will have to wait because it’s definitely not on Elon Musk’s plate.

Elon, Buy Upwork, Make Remote Work Great Again!

The Man Behind ‘The Discovery’ Danny Goler is an independent researcher, filmmaker, and self-proclaimed explorer of altered states of consciousness. His journey to unlock the mysteries of reality has led him down a unique path that blends technology, psychedelics, and a desire to push the boundaries of human perception. Goler recently made a claim that he discovered a visible, repeating code when using a diffracted laser while under the influence of DMT (Dimethyltryptamine). His work, which he shares through social media platforms like YouTube, TikTok, and Instagram, has captured the curiosity of many. Goler’s background includes growing up with a nuclear physicist grandfather, which ignited his early interest in science and the cosmos. This, paired with his artistic ventures in filmmaking, set the foundation for his current explorations into the intersection of psychedelics and digital phenomena. Link to Danny's YouTube Channel The Discovery: A Code in the Laser The heart of Goler’s current work revolves around a mind-bending discovery that he details in a trailer video titled “The Discovery” here In this trailer, Goler claims that by shining a diffracted laser onto a wall and smoking DMT, one can observe a visible code running across the surface. This discovery, he says, could change our understanding of reality, offering tangible proof that we may be living in a simulation. In his trailer, Goler describes the moment he first witnessed the phenomenon: “When I first saw the phenomenon, it was like ‘holy [__]!’ but then it was actually like, whoa, what is happening? Am I losing my mind?” What’s particularly striking is that Goler didn’t stop there. He began showing this phenomenon to others, recording their reactions, which mirrored his own shock and awe. One observer even commented: “I’ve been under the influence of mind-altering substances a lot, but I’ve never seen anything like that.” Goler claims that this code isn’t just random patterns. According to him, the laser reveals letters, numbers, and symbols that look most similar to Japanese Katakana characters, suggesting a structured communication or programming form. What Does the Code Mean? The implications of Goler’s discovery are profound. Could this visible code be proof that we are living in a simulated reality? Goler suggests it might be. In his second video, “DMT Laser Experiment Reveals Visible Code - Where Do We Go From Here?” link Goler states: “I am convinced at this point that there’s a higher civilization rendering our space, or running it on some kind of substrate.” This isn’t just a hypothesis he reached alone. According to Goler, over 180 people have replicated the experiment and seen the same phenomenon. While there are still sceptics, Goler continues to push the narrative that this discovery has the potential to shift our understanding of the very fabric of reality. One question naturally arises: If this is true, why haven’t more people heard about it? Goler admits that getting people to see the digits can take time—sometimes a few minutes, sometimes hours. He emphasizes persistence: “Stay with it, you will see it. And if you don’t, contact me, so we can look at the details.” But there’s more to it than waiting. According to Goler’s “DMT Laser Simulation Tutorial: Unlocking the Mysteries with Dan Go Thoughts” link There’s a specific technique for seeing the code, one that involves looking through the laser rather than at it. He explains that many miss the phenomenon simply because they are not viewing the laser in the right way. The Console: A Deeper Dive As if discovering code wasn’t enough, Goler’s experiences go even further. In his video titled “The Console” link Goler describes an object that consistently appears when he uses DMT after building his laser. This object, which he calls “the console,” unfolds like something out of a science fiction film—complete with virtual screens, gloves, and VR-like equipment that allow him to interact with it. He explains the strange, almost physical nature of the console: “It’s completely there in the room, with its own spatial coordinates just like any other object—like a chair or a table in the room.” This “console” experience has occurred for Goler every time he has used the laser in conjunction with DMT, leading him to believe that it is more than just a hallucination. For those who are sceptical, Goler welcomes discussion but asks that people keep an open mind: “I’m not trying to convince anyone. I’m just telling you my account.” A Call to Action: What’s Next? For Goler, this is just the beginning. He believes his work could lead to a new understanding of reality that blends scientific rigour with subjective experience. In his video “Where Do We Go From Here?” he encourages others to replicate his findings and to share their experiences. He even offers tutorials to guide people through the process of building their own laser setup. Goler is clear that this discovery isn’t just for him—it’s for everyone: “This is an opportunity for individuals to make themselves a part of something huge. The discovery will be made by all of us collectively.” For those who want to dive deeper into Goler’s work, he has set up a variety of platforms for discussion, including his Patreon, Twitter, and Instagram, where he continues to share updates and engage with the community. Closing Thoughts: Science, Consciousness, and the Future Danny Goler’s claims may seem far-fetched to some, but they also tap into one of the deepest questions humanity has ever asked: What is the nature of reality? Whether his discovery is the key to unlocking a hidden digital matrix or simply a fascinating quirk of perception, it opens the door to new discussions about the intersection of technology, consciousness, and the limits of human understanding. Could we be living in a simulation? Is there truly a code running behind the curtain of our reality? These are questions that will undoubtedly take time to answer, but Goler’s work pushes us to consider the possibilities. In a world where science and spirituality often clash, Goler’s discovery might just be the bridge that brings them closer together. Watch “The Discovery” trailer below: YouTube Links to Danny Goler’s Social Media and Work: YouTube Channel
Patreon
Instagram
TikTok
LinkedIn
IMDB
Code of Reality Website
‘The Discovery’ Go Fund Me, Documentary The Man Behind ‘The Discovery’ The Man Behind ‘The Discovery’ Danny Goler is an independent researcher, filmmaker, and self-proclaimed explorer of altered states of consciousness. His journey to unlock the mysteries of reality has led him down a unique path that blends technology, psychedelics, and a desire to push the boundaries of human perception. Goler recently made a claim that he discovered a visible, repeating code when using a diffracted laser while under the influence of DMT (Dimethyltryptamine). His work, which he shares through social media platforms like YouTube, TikTok, and Instagram, has captured the curiosity of many. Goler’s background includes growing up with a nuclear physicist grandfather, which ignited his early interest in science and the cosmos. This, paired with his artistic ventures in filmmaking, set the foundation for his current explorations into the intersection of psychedelics and digital phenomena. Link to Danny's YouTube Channel Link to Danny's YouTube Channel The Discovery: A Code in the Laser The Discovery: A Code in the Laser The heart of Goler’s current work revolves around a mind-bending discovery that he details in a trailer video titled “The Discovery” “The Discovery” here here In this trailer, Goler claims that by shining a diffracted laser onto a wall and smoking DMT, one can observe a visible code running across the surface. This discovery, he says, could change our understanding of reality, offering tangible proof that we may be living in a simulation. In his trailer, Goler describes the moment he first witnessed the phenomenon: “When I first saw the phenomenon, it was like ‘holy [__]!’ but then it was actually like, whoa, what is happening? Am I losing my mind?” “When I first saw the phenomenon, it was like ‘holy [__]!’ but then it was actually like, whoa, what is happening? Am I losing my mind?” “When I first saw the phenomenon, it was like ‘holy [__]!’ but then it was actually like, whoa, what is happening? Am I losing my mind?” What’s particularly striking is that Goler didn’t stop there. He began showing this phenomenon to others, recording their reactions, which mirrored his own shock and awe. One observer even commented: “I’ve been under the influence of mind-altering substances a lot, but I’ve never seen anything like that.” “I’ve been under the influence of mind-altering substances a lot, but I’ve never seen anything like that.” “I’ve been under the influence of mind-altering substances a lot, but I’ve never seen anything like that.” Goler claims that this code isn’t just random patterns. According to him, the laser reveals letters, numbers, and symbols that look most similar to Japanese Katakana characters, suggesting a structured communication or programming form. What Does the Code Mean? What Does the Code Mean? The implications of Goler’s discovery are profound. Could this visible code be proof that we are living in a simulated reality? Goler suggests it might be. In his second video, “DMT Laser Experiment Reveals Visible Code - Where Do We Go From Here?” “DMT Laser Experiment Reveals Visible Code - Where Do We Go From Here?” link link Goler states: “I am convinced at this point that there’s a higher civilization rendering our space, or running it on some kind of substrate.” “I am convinced at this point that there’s a higher civilization rendering our space, or running it on some kind of substrate.” “I am convinced at this point that there’s a higher civilization rendering our space, or running it on some kind of substrate.” This isn’t just a hypothesis he reached alone. According to Goler, over 180 people have replicated the experiment and seen the same phenomenon. While there are still sceptics, Goler continues to push the narrative that this discovery has the potential to shift our understanding of the very fabric of reality. One question naturally arises: If this is true, why haven’t more people heard about it? Goler admits that getting people to see the digits can take time—sometimes a few minutes, sometimes hours. He emphasizes persistence: If this is true, why haven’t more people heard about it? “Stay with it, you will see it. And if you don’t, contact me, so we can look at the details.” “Stay with it, you will see it. And if you don’t, contact me, so we can look at the details.” “Stay with it, you will see it. And if you don’t, contact me, so we can look at the details.” But there’s more to it than waiting. According to Goler’s “DMT Laser Simulation Tutorial: Unlocking the Mysteries with Dan Go Thoughts” “DMT Laser Simulation Tutorial: Unlocking the Mysteries with Dan Go Thoughts” link link There’s a specific technique for seeing the code, one that involves looking through the laser rather than at it. He explains that many miss the phenomenon simply because they are not viewing the laser in the right way. through at The Console: A Deeper Dive The Console: A Deeper Dive As if discovering code wasn’t enough, Goler’s experiences go even further. In his video titled “The Console” “The Console” link link Goler describes an object that consistently appears when he uses DMT after building his laser. This object, which he calls “the console,” unfolds like something out of a science fiction film—complete with virtual screens, gloves, and VR-like equipment that allow him to interact with it. He explains the strange, almost physical nature of the console: “It’s completely there in the room, with its own spatial coordinates just like any other object—like a chair or a table in the room.” “It’s completely there in the room, with its own spatial coordinates just like any other object—like a chair or a table in the room.” “It’s completely there in the room, with its own spatial coordinates just like any other object—like a chair or a table in the room.” This “console” experience has occurred for Goler every time he has used the laser in conjunction with DMT, leading him to believe that it is more than just a hallucination. For those who are sceptical, Goler welcomes discussion but asks that people keep an open mind: “I’m not trying to convince anyone. I’m just telling you my account.” “I’m not trying to convince anyone. I’m just telling you my account.” “I’m not trying to convince anyone. I’m just telling you my account.” A Call to Action: What’s Next? A Call to Action: What’s Next? For Goler, this is just the beginning. He believes his work could lead to a new understanding of reality that blends scientific rigour with subjective experience. In his video “Where Do We Go From Here?” he encourages others to replicate his findings and to share their experiences. He even offers tutorials to guide people through the process of building their own laser setup. “Where Do We Go From Here?” Goler is clear that this discovery isn’t just for him—it’s for everyone: “This is an opportunity for individuals to make themselves a part of something huge. The discovery will be made by all of us collectively.” “This is an opportunity for individuals to make themselves a part of something huge. The discovery will be made by all of us collectively.” “This is an opportunity for individuals to make themselves a part of something huge. The discovery will be made by all of us collectively.” For those who want to dive deeper into Goler’s work, he has set up a variety of platforms for discussion, including his Patreon , Twitter , and Instagram , where he continues to share updates and engage with the community. Patreon Twitter Instagram Closing Thoughts: Science, Consciousness, and the Future Closing Thoughts: Science, Consciousness, and the Future Danny Goler’s claims may seem far-fetched to some, but they also tap into one of the deepest questions humanity has ever asked: What is the nature of reality? Whether his discovery is the key to unlocking a hidden digital matrix or simply a fascinating quirk of perception, it opens the door to new discussions about the intersection of technology, consciousness, and the limits of human understanding. What is the nature of reality? Could we be living in a simulation? Is there truly a code running behind the curtain of our reality? These are questions that will undoubtedly take time to answer, but Goler’s work pushes us to consider the possibilities. In a world where science and spirituality often clash, Goler’s discovery might just be the bridge that brings them closer together. Watch “The Discovery” trailer below : Watch “The Discovery” trailer below YouTube YouTube Links to Danny Goler’s Social Media and Work: Links to Danny Goler’s Social Media and Work: YouTube Channel Patreon Instagram TikTok LinkedIn IMDB Code of Reality Website ‘The Discovery’ Go Fund Me, Documentary YouTube Channel YouTube Channel Patreon Patreon Instagram Instagram TikTok TikTok LinkedIn LinkedIn IMDB IMDB Code of Reality Website Code of Reality Website ‘The Discovery’ Go Fund Me, Documentary ‘The Discovery’ Go Fund Me, Documentary

Man Claims to Have Discovered 'Simulation Code' Using Lasers and DMT

HackerNoon: What is your company in 2–5 words? Erik Huberman: AI Enabled. Tech-Integrated. Marketing Powerhouse. Why is now the time for your company to exist? Now more than ever, Hawke Media’s existence is crucial because we are celebrating a decade of marketing excellence and leading the way in the AI-integrated marketing landscape. As the fastest growing agency in the nation, our expertise in artificial intelligence and data analytics sets us apart. Our proprietary platform, Hawke AI, has been developed over nearly ten years and is at the core of our strategy. It delivers deep audience insights and competitive analysis, empowering us to craft highly targeted and adaptive marketing campaigns. By automating tasks and enhancing decision-making, Hawke AI analyzes extensive data from over 7,000 brands and $500 million in ad spend. Operating in real-time, it dynamically adjusts to market changes and ensures transparency across all major marketing channels, positioning us at the forefront of the industry. What do you love about your team, and why are you the ones to solve this problem? If there was one thing to celebrate over the past 10 years at Hawke Media, it would be our people. As a CEO and founder, I've quickly learned that it's all about people. Creating an environment where you can develop, hire, attract, and retain great people is critical to building a great business. Their incredible marketing capabilities and talents are what make Hawke Media the powerhouse it is today. With innovation being crucial in our ever-evolving world, I've witnessed firsthand how many of our competitors have fallen apart. My team at Hawke Media goes above and beyond in identifying potential disruptions and adapting to them, allowing us to stay on top of trends and making Hawke Media the leading marketing agency of choice. If you weren’t building your startup, what would you be doing? I would be building another one! At the moment, how do you measure success? What are your metrics? Our success metrics are directly tied to specific ROI indicators, such as revenue increases, customer lifetime value, and engagement metrics. To date, Hawke Media boasts 10 consecutive years of profitability, over $2.9 billion in gross revenue, and has never raised debt or outside funding. Our success is also marked by growing 4,755 brands, 90+ awards for innovation, 44 angel investments, and 13 strategic acquisitions. As we celebrate 10 years, our 2,957 partnerships reflect our ongoing commitment to transforming marketing for businesses of all sizes. In a few sentences, what do you offer to whom? Hawke Media offers best-in-class marketing services to both established brands and burgeoning businesses. Our comprehensive offerings include strategy development, branding and production, media buying, web design, content and social media management, lifecycle marketing, photo and video production, affiliate marketing, and Amazon services. We create digital playbooks tailored to your business, develop unique brand aesthetics, and run data-driven campaigns to target ideal consumer touchpoints. Our goal is to help brands exceed their marketing goals and drive massive revenue through customized growth strategies. What’s most exciting about your traction to date? The most exciting aspect of Hawke Media's success to date is our remarkable growth, both as an agency and in the growth we've achieved for our clients. We've had the privilege of working with 4,755 brands including Crocs, Casamigos, Barstool Sports and more, helping them reach new heights they might have never envisioned for themselves. Our commitment to driving client success has been a key factor in our own growth, as we continually strive to exceed expectations and deliver exceptional results. This mutual growth is a testament to our innovative strategies, dedicated team, and the strong partnerships we've built with our clients. Where do you think your growth will be next year? Currently we are in growth and expansion mode at Hawke Media. We have doubled down in Mergers and acquisitions, software and tech investments, and are anticipating exponential growth in all verticals over the next year. Tell us about your first paying customer and revenue expectations over the next year. My first paying customer was a company that approached me after I sold my last business. Initially, they wanted to hire me full-time, but I wasn't interested in a full-time job. Instead, I offered to consult for them one day per week. They insisted on three days, and after some negotiation, we agreed on a part-time schedule of three days per week. This arrangement was pivotal as it gave me the foundation to start Hawke Media. Regarding revenue expectations for the next year, we anticipate expeditious growth. Our goal is to achieve a significant increase in revenue through expanding our client and employee base, enhancing our service offerings, and leveraging our expertise in marketing. What’s your biggest threat? The biggest threat currently is AI. Rapid disruption in our space means artificial intelligence will change and automate much of what we do. However, every threat is also an opportunity. I strongly believe we are taking the right steps to benefit from this trend, while our competitors might not keep up. Hawke AI is a key part of our strategy to stay ahead and leverage these advancements. By analyzing marketing and revenue data from more than 7,000 brands, over $500 million in media spend, and providing universal transparency across every major channel, we can(and are) turn this potential threat into a significant opportunity. HackerNoon : What is your company in 2–5 words? HackerNoon Erik Huberman : AI Enabled. Tech-Integrated. Marketing Powerhouse. Erik Huberman Why is now the time for your company to exist? Now more than ever, Hawke Media’s existence is crucial because we are celebrating a decade of marketing excellence and leading the way in the AI-integrated marketing landscape. As the fastest growing agency in the nation, our expertise in artificial intelligence and data analytics sets us apart. Our proprietary platform, Hawke AI, has been developed over nearly ten years and is at the core of our strategy. It delivers deep audience insights and competitive analysis, empowering us to craft highly targeted and adaptive marketing campaigns. By automating tasks and enhancing decision-making, Hawke AI analyzes extensive data from over 7,000 brands and $500 million in ad spend. Operating in real-time, it dynamically adjusts to market changes and ensures transparency across all major marketing channels, positioning us at the forefront of the industry. What do you love about your team, and why are you the ones to solve this problem? If there was one thing to celebrate over the past 10 years at Hawke Media, it would be our people. As a CEO and founder, I've quickly learned that it's all about people. Creating an environment where you can develop, hire, attract, and retain great people is critical to building a great business. Their incredible marketing capabilities and talents are what make Hawke Media the powerhouse it is today. With innovation being crucial in our ever-evolving world, I've witnessed firsthand how many of our competitors have fallen apart. My team at Hawke Media goes above and beyond in identifying potential disruptions and adapting to them, allowing us to stay on top of trends and making Hawke Media the leading marketing agency of choice. If you weren’t building your startup, what would you be doing? I would be building another one! At the moment, how do you measure success? What are your metrics? Our success metrics are directly tied to specific ROI indicators, such as revenue increases, customer lifetime value, and engagement metrics. To date, Hawke Media boasts 10 consecutive years of profitability, over $2.9 billion in gross revenue, and has never raised debt or outside funding. Our success is also marked by growing 4,755 brands, 90+ awards for innovation, 44 angel investments, and 13 strategic acquisitions. As we celebrate 10 years, our 2,957 partnerships reflect our ongoing commitment to transforming marketing for businesses of all sizes. In a few sentences, what do you offer to whom? Hawke Media offers best-in-class marketing services to both established brands and burgeoning businesses. Our comprehensive offerings include strategy development, branding and production, media buying, web design, content and social media management, lifecycle marketing, photo and video production, affiliate marketing, and Amazon services. We create digital playbooks tailored to your business, develop unique brand aesthetics, and run data-driven campaigns to target ideal consumer touchpoints. Our goal is to help brands exceed their marketing goals and drive massive revenue through customized growth strategies. What’s most exciting about your traction to date? The most exciting aspect of Hawke Media's success to date is our remarkable growth, both as an agency and in the growth we've achieved for our clients. We've had the privilege of working with 4,755 brands including Crocs, Casamigos, Barstool Sports and more, helping them reach new heights they might have never envisioned for themselves. Our commitment to driving client success has been a key factor in our own growth, as we continually strive to exceed expectations and deliver exceptional results. This mutual growth is a testament to our innovative strategies, dedicated team, and the strong partnerships we've built with our clients. Where do you think your growth will be next year? Currently we are in growth and expansion mode at Hawke Media. We have doubled down in Mergers and acquisitions, software and tech investments, and are anticipating exponential growth in all verticals over the next year. Tell us about your first paying customer and revenue expectations over the next year. My first paying customer was a company that approached me after I sold my last business. Initially, they wanted to hire me full-time, but I wasn't interested in a full-time job. Instead, I offered to consult for them one day per week. They insisted on three days, and after some negotiation, we agreed on a part-time schedule of three days per week. This arrangement was pivotal as it gave me the foundation to start Hawke Media. Regarding revenue expectations for the next year, we anticipate expeditious growth. Our goal is to achieve a significant increase in revenue through expanding our client and employee base, enhancing our service offerings, and leveraging our expertise in marketing. What’s your biggest threat? The biggest threat currently is AI. Rapid disruption in our space means artificial intelligence will change and automate much of what we do. However, every threat is also an opportunity. I strongly believe we are taking the right steps to benefit from this trend, while our competitors might not keep up. Hawke AI is a key part of our strategy to stay ahead and leverage these advancements. By analyzing marketing and revenue data from more than 7,000 brands, over $500 million in media spend, and providing universal transparency across every major channel, we can(and are) turn this potential threat into a significant opportunity.

"As a CEO and Founder, I've Quickly Learned that It's All About People." says Hawke Media Founder

"እንደ ዋና ሥራ አስፈፃሚ እና መስራች ፣ ሁሉም ነገር በሰዎች ላይ መሆኑን በፍጥነት ተማርኩ ።" ይላል ሃውክ ሚዲያ መስራች

"Como director ejecutivo y fundador, aprendí rápidamente que todo es cuestión de personas", dice el fundador de Hawke Media

"zuzendari nagusia eta sortzailea naizen aldetik, azkar ikasi dut jendeari buruz dela". dio Hawke Media Fundatzaileak

「CEO兼創業者として、私はすぐに、すべては人に関することだと学びました」とホークメディアの創業者は語る。

«Бас директор және негізін қалаушы ретінде мен бәрі адамдарға қатысты екенін тез білдім». дейді Hawke Media негізін қалаушы

"CEO이자 창립자로서 저는 모든 것이 사람에 관한 것이라는 것을 빨리 깨달았습니다." Hawke Media 창립자의 말입니다.

"Amin'ny maha-Tale Jeneraly sy Mpanorina ahy, dia nianatra haingana aho fa momba ny olona izany." hoy ny mpanorina ny Hawke Media

„Ca CEO și fondator, am învățat rapid că totul este despre oameni.” spune fondatorul Hawke Media

"Som VD och grundare har jag snabbt lärt mig att det handlar om människor." säger Hawke Media grundare

"ஒரு CEO மற்றும் நிறுவனர் என்ற முறையில், இது மக்களைப் பற்றியது என்பதை நான் விரைவாகக் கற்றுக்கொண்டேன்." ஹாக் மீடியா நிறுவனர் கூறுகிறார்

"Bosh direktor va asoschi sifatida men hamma narsa odamlarga tegishli ekanligini tezda bilib oldim." - deydi Hawke Media asoschisi

Hawke Media 创始人表示：“作为首席执行官和创始人，我很快就意识到，一切都与人有关。”

Singapore, July 17, 2024 - BlockBeats, a key player in the crypto media landscape, recently interviewed Andrew Weiner, the new Vice President of WEEX's English Market. With extensive experience in the cryptocurrency sector, Andrew shared his journey, the advantages of WEEX, and the platform’s future strategies. From iComply to MEXC: Andrew Weiner's Crypto Industry Adventure BlockBeats: Can you give a quick overview of your experience in the cryptocurrency industry? I noticed you were the VP at MEXC Global? Andrew Weiner: I started at iComply Investor Services, developing a patented off-chain cryptographic verification system for securely processing consumer data in compliance with Travel Rule requirements. Later, at MEXC Global, I helped grow the user base from 6 million to 12 million users worldwide by forming strategic partnerships with top project developers and key opinion leaders, significantly enhancing MEXC's market presence. Why Choose WEEX? Andrew Weiner on the Unique Strengths of the Emerging Crypto Platform BlockBeats: Now that you're the VP at WEEX, what do you think sets WEEX apart from other platforms? Andrew Weiner: The market today is lacking a true turn-key, all-in-one destination for crypto. WEEX, with its rapidly growing network of developers, community leaders, and media partners, is emerging  to set a new standard in delivering these high quality user experiences, for everyone. Whether you are a professional, casual, or curious trader, with one login you can access all of the things you want and expect from your cryptocurrency trading platform. Debunking the Saturation Myth: WEEX’s Strategy for Success in a Crowded Market BlockBeats: Many people believe that the trading platform market is already saturated. How do you think WEEX is able to attract traffic? Andrew Weiner: I completely disagree, the industry still has immense global demand and is far from saturated, especially in derivatives trading. Traditional financial players are investing heavily in blockchain, signaling huge potential. WEEX bridges the gaps between traditional finance, centralized finance, and decentralized finance, positioning itself as the go-to platform for millions by the end of 2024. The Power of WXT Token: How WEEX's Platform Token is Redefining User Engagement BlockBeats: WEEX is recently launching its own platform token. What is unique about WXT compared to other platform tokens? Andrew Weiner: The WEEX community and their passion for sharing our brand is the reason we’ve enjoyed such incredible success to-date. With that in mind, we’ve designed $WXT to make every holder an unlimited partner in the continued growth of our audience, and enjoy the value that will be created along the way - which is a far deeper relationship than our competitors are establishing with their audience. Empowering Users with WXT: Exclusive Benefits and Future Potential for WXT Holders BlockBeats: What scenarios and potential benefits do users experience when holding WXT? Andrew Weiner: $WXT is a reinvestment into the users who made us a leader in the cryptocurrency futures trading space, providing trading fee discounts, exclusive rewards, a voice in the future development of WEEX. Our commitment to our WEEXer army is that no other platform token will empower its community of holders to have as much value and influence as WEEX. Addressing Market Gaps: WEEX’s Comprehensive Approach to Crypto Trading BlockBeats: What gaps in the trading platform market does WEEX plan to fill? Andrew Weiner: When you go to the conferences and survey the product users in attendance, you will commonly find everyone has an account on up to 4 or 5 platforms. There seems to be a considerable number of points of friction that traders encounter daily in our space. Until this is consolidated, and consumers are able to develop loyalty to one single product or service provider, an opportunity will exist for a brand like WEEX to be that proverbial 3rd place in a gem hunter’s daily routine. Familiar, reliable, secure, and comfortable - that is WEEX. Everything you need, in one single place, with none of the hassle. \Navigating Market Making: Andrew Weiner’s Take on Exchange Operations Post-FTX BlockBeats: After FTX, the market seems not to approve of exchanges having their own market makers. Should CEXs have their own market makers? Andrew Weiner: No, an exchange should not act as its own MM. As an exchange, my primary focus is the user experience, product security, service reliability. There is no room for price-action in that focus. As observed with that specific case you’ve referenced, the MM-dynamic created a conflict of interest, and millions of users are still recovering. As I said on the Mario Nawfal podcast following that event, any incestuous relationship between 2 entities should be avoided, proof of reserves is the evidence consumers deserve going forward. Innovating On-Chain: WEEX's Future Plans for Blockchain Ecosystem Development BlockBeats: lt seems like every exchange has its own on-chain ecosystem, backed by a blockchain. What are WEEX's plans regarding on-chain development? Andrew Weiner: In the near-future WEEX will provide our network of developers with unique opportunities to collaborate deeper and launch their exciting new innovations with us. We hope to reveal more in the coming months, but I am unable to disclose anything further at this time regarding our WEEX Wealth initiative. About WEEX Since its inception in 2018, WEEX has rapidly established itself as a top cryptocurrency exchange, known for stringent security measures and a user-focused platform. Holding licenses from US and Canadian MSBs, and SVGFSA, WEEX offers a regulated trading environment with 116 spot trading pairs and 225 futures trading pairs. The WEEX platform token, WXT, offers benefits like over 20% discounts on trading fees, exclusive VIP event access, and participation in platform governance and the WEEX Launchpool. WEEX blends innovative features with a commitment to user satisfaction, making it a distinguished choice in the cryptocurrency market. Sign up for a WEEX Account Visit WEEX Official Website Media Email WEEX Customer Support: support@weex.com Trading Quant & MM: market@weexglobal.com This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here. Singapore, July 17, 2024 - BlockBeats, a key player in the crypto media landscape, recently interviewed Andrew Weiner, the new Vice President of WEEX's English Market. With extensive experience in the cryptocurrency sector, Andrew shared his journey, the advantages of WEEX, and the platform’s future strategies. From iComply to MEXC: Andrew Weiner's Crypto Industry Adventure BlockBeats: Can you give a quick overview of your experience in the cryptocurrency industry? I noticed you were the VP at MEXC Global? BlockBeats: Andrew Weiner : I started at iComply Investor Services, developing a patented off-chain cryptographic verification system for securely processing consumer data in compliance with Travel Rule requirements. Later, at MEXC Global, I helped grow the user base from 6 million to 12 million users worldwide by forming strategic partnerships with top project developers and key opinion leaders, significantly enhancing MEXC's market presence. Andrew Weiner Why Choose WEEX? Andrew Weiner on the Unique Strengths of the Emerging Crypto Platform BlockBeats: Now that you're the VP at WEEX, what do you think sets WEEX apart from other platforms? BlockBeats: Andrew Weiner: The market today is lacking a true turn-key, all-in-one destination for crypto. WEEX , with its rapidly growing network of developers, community leaders, and media partners, is emerging  to set a new standard in delivering these high quality user experiences, for everyone. Whether you are a professional, casual, or curious trader, with one login you can access all of the things you want and expect from your cryptocurrency trading platform. Andrew Weiner: WEEX WEEX Debunking the Saturation Myth: WEEX’s Strategy for Success in a Crowded Market BlockBeats: Many people believe that the trading platform market is already saturated. How do you think WEEX is able to attract traffic? BlockBeats: Andrew Weiner: I completely disagree, the industry still has immense global demand and is far from saturated, especially in derivatives trading. Traditional financial players are investing heavily in blockchain, signaling huge potential. WEEX bridges the gaps between traditional finance, centralized finance, and decentralized finance, positioning itself as the go-to platform for millions by the end of 2024. Andrew Weiner: The Power of WXT Token: How WEEX's Platform Token is Redefining User Engagement BlockBeats: WEEX is recently launching its own platform token. What is unique about WXT compared to other platform tokens? BlockBeats: Andrew Weiner: The WEEX community and their passion for sharing our brand is the reason we’ve enjoyed such incredible success to-date. With that in mind, we’ve designed $WXT to make every holder an unlimited partner in the continued growth of our audience, and enjoy the value that will be created along the way - which is a far deeper relationship than our competitors are establishing with their audience. Andrew Weiner: Empowering Users with WXT: Exclusive Benefits and Future Potential for WXT Holders BlockBeats: What scenarios and potential benefits do users experience when holding WXT? BlockBeats: Andrew Weiner: $ WXT is a reinvestment into the users who made us a leader in the cryptocurrency futures trading space, providing trading fee discounts, exclusive rewards, a voice in the future development of WEEX. Our commitment to our WEEXer army is that no other platform token will empower its community of holders to have as much value and influence as WEEX. Andrew Weiner: WXT WXT Addressing Market Gaps: WEEX’s Comprehensive Approach to Crypto Trading BlockBeats: What gaps in the trading platform market does WEEX plan to fill? BlockBeats: Andrew Weiner: When you go to the conferences and survey the product users in attendance, you will commonly find everyone has an account on up to 4 or 5 platforms. There seems to be a considerable number of points of friction that traders encounter daily in our space. Andrew Weiner: Until this is consolidated, and consumers are able to develop loyalty to one single product or service provider, an opportunity will exist for a brand like WEEX to be that proverbial 3rd place in a gem hunter’s daily routine. Familiar, reliable, secure, and comfortable - that is WEEX. Everything you need, in one single place, with none of the hassle. \Navigating Market Making: Andrew Weiner’s Take on Exchange Operations Post-FTX BlockBeats: After FTX, the market seems not to approve of exchanges having their own market makers. Should CEXs have their own market makers? BlockBeats: Andrew Weiner: No, an exchange should not act as its own MM. As an exchange, my primary focus is the user experience, product security, service reliability. There is no room for price-action in that focus. As observed with that specific case you’ve referenced, the MM-dynamic created a conflict of interest, and millions of users are still recovering. As I said on the Mario Nawfal podcast following that event, any incestuous relationship between 2 entities should be avoided, proof of reserves is the evidence consumers deserve going forward. Andrew Weiner: proof of reserves proof of reserves Innovating On-Chain: WEEX's Future Plans for Blockchain Ecosystem Development BlockBeats: lt seems like every exchange has its own on-chain ecosystem, backed by a blockchain. What are WEEX's plans regarding on-chain development? BlockBeats: Andrew Weiner: In the near-future WEEX will provide our network of developers with unique opportunities to collaborate deeper and launch their exciting new innovations with us. We hope to reveal more in the coming months, but I am unable to disclose anything further at this time regarding our WEEX Wealth initiative. Andrew Weiner: WEEX WEEX About WEEX Since its inception in 2018, WEEX has rapidly established itself as a top cryptocurrency exchange, known for stringent security measures and a user-focused platform. Holding licenses from US and Canadian MSBs, and SVGFSA, WEEX offers a regulated trading environment with 116 spot trading pairs and 225 futures trading pairs. The WEEX platform token, WXT, offers benefits like over 20% discounts on trading fees, exclusive VIP event access, and participation in platform governance and the WEEX Launchpool. WEEX blends innovative features with a commitment to user satisfaction, making it a distinguished choice in the cryptocurrency market. Sign up for a WEEX Account WEEX Account Visit WEEX Official Website Official Website Media Email Email WEEX Customer Support: support@weex.com Trading Quant & MM: market@weexglobal.com This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

Interview with Andrew Weiner, VP WEEX: Unlocking the Future of Crypto Trading

In this captivating interview, we dive deep into the world of Web3 and blockchain technology with Emile Dubié, the visionary co-founder of XDEFI. Discover the inspiring journey behind XDEFI's creation, its mission to revolutionize the multi-chain ecosystem, and its unique approach to navigating the competitive landscape of Web3 and blockchain interoperability. Ishan Pandey: Hello Emile, It's a pleasure to welcome you to our 'Behind the Startup' series. Can you tell us about the founding journey of XDEFI and what inspired you to create XDEFI? Emile Dubié: Hello Ishan. Thank you for having me. Both my co-founder and I were early investors and community members of the THORChain ecosystem. At that time, MetaMask was the only wallet extension available, and it was exclusively focused on Ethereum. We were convinced that the future would be multi-chain, and we decided to address this gap in the market. Our initial goal was to create the best wallet for users to interact with any interfaces built on top of THORChain. This goal then evolved into providing the best wallet for anyone. Ishan Pandey: How does XDEFI plan to differentiate itself in the Web3 and blockchain interoperability competitive landscape? Emile Dubié: As of today, we are the wallet that supports the most chains, with over 1,700 networks. We provide the best way for users to navigate from one ecosystem to another. Our swap feature supports more assets than any other wallet, and our gas tank abstracts the concept of gas, allowing users to migrate seamlessly between ecosystems without leaving the wallet or worrying about gas. We have implemented chain and account abstraction features that make the overall experience for the end users seamless when interacting with several ecosystems. Ishan Pandey: How are you navigating these challenges to ensure compliance with increasing regulatory scrutiny on cryptocurrencies and blockchain projects? Emile Dubié:  We are following closely what is happening at a regulatory level. As we are not in the custody of users' funds, we do not have the same requirements as centralized venues. We believe that self-custody is a fundamental right. Ishan Pandey: Given the rising price of Bitcoin and other cryptocurrencies, how do you see this trend affecting the adoption and development of crypto wallet platforms? Emile Dubié: We estimate there are over 500 million crypto holders globally, but only 10% currently use a self-custody wallet. Most opportunities are now on-chain, requiring a wallet to access them. We believe that in the next 24 months, more users will install wallets for on-chain activities. In the long term, we anticipate users will interact with wallets daily without realizing it's different from the fintech apps like Revolut or N26 they use regularly. As more corporations enter the space, further adoption will drive the necessity for wallets among users. Ishan Pandey: Can you discuss XDEFI's business model and how it aims to generate revenue while providing value to its users? Emile Dubié: We generate revenue from fees collected on swaps and bridging happening directly within the wallet. More revenue-generating features will be added in the future. Wallets are the first interfaces users interact with when they start on-chain. We believe they will add differentiating features that are easier to use than those on a dApp, creating new opportunities for revenue generation. Ishan Pandey: How do you envision the future of Web3, and what role do you believe you can play in shaping that future? Emile Dubié: The future of web3 lies in its potential to create a decentralized, user-controlled internet. Our mission is to help people access more attractive financial opportunities than they would if they kept their assets off-chain. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. In this captivating interview, we dive deep into the world of Web3 and blockchain technology with Emile Dubié, the visionary co-founder of XDEFI . Discover the inspiring journey behind XDEFI 's creation, its mission to revolutionize the multi-chain ecosystem, and its unique approach to navigating the competitive landscape of Web3 and blockchain interoperability. XDEFI XDEFI Ishan Pandey: Hello Emile, It's a pleasure to welcome you to our 'Behind the Startup' series. Can you tell us about the founding journey of XDEFI and what inspired you to create XDEFI? Ishan Pandey: Hello Emile, It's a pleasure to welcome you to our 'Behind the Startup' series. Can you tell us about the founding journey of XDEFI and what inspired you to create XDEFI? Ishan Pandey: Hello Emile, It's a pleasure to welcome you to our 'Behind the Startup' series. Can you tell us about the founding journey of XDEFI and what inspired you to create XDEFI? Emile Dubié: Hello Ishan. Thank you for having me. Both my co-founder and I were early investors and community members of the THORChain ecosystem. At that time, MetaMask was the only wallet extension available, and it was exclusively focused on Ethereum. We were convinced that the future would be multi-chain, and we decided to address this gap in the market. Our initial goal was to create the best wallet for users to interact with any interfaces built on top of THORChain. This goal then evolved into providing the best wallet for anyone. Emile Dubié: Ishan Pandey: How does XDEFI plan to differentiate itself in the Web3 and blockchain interoperability competitive landscape? Ishan Pandey: How does XDEFI plan to differentiate itself in the Web3 and blockchain interoperability competitive landscape? Ishan Pandey: How does XDEFI plan to differentiate itself in the Web3 and blockchain interoperability competitive landscape? Emile Dubié: As of today, we are the wallet that supports the most chains, with over 1,700 networks. We provide the best way for users to navigate from one ecosystem to another. Our swap feature supports more assets than any other wallet, and our gas tank abstracts the concept of gas, allowing users to migrate seamlessly between ecosystems without leaving the wallet or worrying about gas. We have implemented chain and account abstraction features that make the overall experience for the end users seamless when interacting with several ecosystems. Emile Dubié: Ishan Pandey: How are you navigating these challenges to ensure compliance with increasing regulatory scrutiny on cryptocurrencies and blockchain projects? Ishan Pandey: How are you navigating these challenges to ensure compliance with increasing regulatory scrutiny on cryptocurrencies and blockchain projects? Ishan Pandey: How are you navigating these challenges to ensure compliance with increasing regulatory scrutiny on cryptocurrencies and blockchain projects? Emile Dubié: We are following closely what is happening at a regulatory level. As we are not in the custody of users' funds, we do not have the same requirements as centralized venues. We believe that self-custody is a fundamental right. Emile Dubié: Ishan Pandey: Given the rising price of Bitcoin and other cryptocurrencies, how do you see this trend affecting the adoption and development of crypto wallet platforms? Ishan Pandey: Given the rising price of Bitcoin and other cryptocurrencies, how do you see this trend affecting the adoption and development of crypto wallet platforms? Ishan Pandey: Given the rising price of Bitcoin and other cryptocurrencies, how do you see this trend affecting the adoption and development of crypto wallet platforms? Emile Dubié: We estimate there are over 500 million crypto holders globally, but only 10% currently use a self-custody wallet. Most opportunities are now on-chain, requiring a wallet to access them. We believe that in the next 24 months, more users will install wallets for on-chain activities. In the long term, we anticipate users will interact with wallets daily without realizing it's different from the fintech apps like Revolut or N26 they use regularly. As more corporations enter the space, further adoption will drive the necessity for wallets among users. Emile Dubié: Ishan Pandey: Can you discuss XDEFI's business model and how it aims to generate revenue while providing value to its users? Ishan Pandey: Can you discuss XDEFI's business model and how it aims to generate revenue while providing value to its users? Ishan Pandey: Can you discuss XDEFI's business model and how it aims to generate revenue while providing value to its users? Emile Dubié: We generate revenue from fees collected on swaps and bridging happening directly within the wallet. More revenue-generating features will be added in the future. Wallets are the first interfaces users interact with when they start on-chain. We believe they will add differentiating features that are easier to use than those on a dApp, creating new opportunities for revenue generation. Emile Dubié: Ishan Pandey: How do you envision the future of Web3, and what role do you believe you can play in shaping that future? Ishan Pandey: How do you envision the future of Web3, and what role do you believe you can play in shaping that future? Ishan Pandey: How do you envision the future of Web3, and what role do you believe you can play in shaping that future? Emile Dubié: The future of web3 lies in its potential to create a decentralized, user-controlled internet. Our mission is to help people access more attractive financial opportunities than they would if they kept their assets off-chain. Emile Dubié: Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: business blogging program business blogging program

How XDEFI Plans to Provide the Best Wallet Experience for Web3 Users and Why It's Crucial

কিভাবে XDEFI Web3 ব্যবহারকারীদের জন্য সেরা ওয়ালেট অভিজ্ঞতা প্রদানের পরিকল্পনা করে এবং কেন এটি অত্যন্ত গুরুত্বপূর্ণ

Wie XDEFI das beste Wallet-Erlebnis für Web3-Benutzer bieten will und warum das so wichtig ist

Cómo XDEFI planea brindar la mejor experiencia de billetera para los usuarios de Web3 y por qué es crucial

Comment XDEFI prévoit de fournir la meilleure expérience de portefeuille aux utilisateurs Web3 et pourquoi c'est crucial

XDEFI वेब3 उपयोगकर्ताओं के लिए सर्वश्रेष्ठ वॉलेट अनुभव प्रदान करने की योजना कैसे बना रहा है और यह क्यों महत्वपूर्ण है

XDEFIがWeb3ユーザーに最高のウォレット体験を提供する計画とその重要性

XDEFI가 Web3 사용자에게 최고의 지갑 경험을 제공할 계획을 세우는 방법과 이것이 중요한 이유

Como a XDEFI planeja fornecer a melhor experiência de carteira para usuários Web3 e por que isso é crucial

Как XDEFI планирует обеспечить лучший опыт работы с кошельком для пользователей Web3 и почему это важно

XDEFI, Web3 Kullanıcılarına En İyi Cüzdan Deneyimini Nasıl Sunmayı Planlıyor ve Neden Önemli?

XDEFI lên kế hoạch cung cấp trải nghiệm ví tốt nhất cho người dùng Web3 như thế nào và tại sao nó lại quan trọng

XDEFI 计划如何为 Web3 用户提供最佳钱包体验以及其为何至关重要

Space and Time (SxT), a leading provider of verifiable compute solutions for AI and blockchain integration, has made a significant stride in advancing Web3 technology by releasing Proof of SQL, a high-performance zero-knowledge prover for processing data, under an open software license on GitHub. This groundbreaking development promises to revolutionize the way developers interact with onchain and offchain datasets, enabling the creation of more sophisticated DeFi protocols and data-driven smart contracts. Proof of SQL is a novel zero-knowledge proof protocol developed by SxT that cryptographically ensures the accuracy of SQL database queries computed against untampered data. By leveraging this technology, developers can now compute over both onchain and offchain datasets in a trustless manner, proving the results back to their smart contracts in real-time during transactions. This capability opens up a wide range of possibilities for the next generation of DeFi applications. Jay White, PhD, Co-Founder and Head of Research at SxT, and the inventor of the Proof of SQL protocol, expressed his enthusiasm for the release, stating, "Space and Time is thrilled to lead Web3 into a new era of data-driven smart contracts and the next generation of DeFi." He emphasized the significance of the sub-second zero-knowledge proofs pioneered by SxT, which enable smart contracts and AI agents to inquire about a chain's activity and offchain data, receiving trustless SQL query results onchain during a transaction without the need for lengthy proof times. The release of Proof of SQL on GitHub follows a successful alpha testing period with a select group of SxT customers in August. The protocol's impressive performance has been demonstrated in recent benchmarks conducted by the SxT cryptography team, showcasing its ability to execute analytic queries over 100k-row tables in less than a second on a single GPU and aggregate millions of rows of indexed data within Ethereum block time on a single NVIDIA T4. Compared to generalized zero-knowledge virtual machines (zkVMs) and co-processors, Proof of SQL offers a significantly more performant architecture for processing large volumes of data. While zkVMs provide an extensible solution for arbitrary computations, data processing can be slow to prove. Proof of SQL can be integrated with these zkVMs to provide verifiable source data for executing arbitrary code, making it a valuable addition to the zero-knowledge proof ecosystem. Space and Time's decision to release Proof of SQL under an open software license demonstrates the company's commitment to fostering collaboration and innovation within the Web3 community. The company encourages and invites contributions from the community and other zero-knowledge proof engineering teams to collaborate on the repository. The prover can be integrated into any SQL database, centralized or decentralized, and is already being utilized by prominent Web3 apps, financial institutions, and enterprises. Final Thoughts The release of Proof of SQL marks a significant milestone in the evolution of Web3 technology, enabling developers to create more sophisticated and data-driven applications that leverage the security and transparency of blockchain networks. As the adoption of Web3 continues to grow, solutions like Proof of SQL will play a crucial role in unlocking the full potential of decentralized finance and other blockchain-based applications. Space and Time's innovative approach to verifiable compute and their focus on bridging the gap between AI, blockchain, and enterprise use cases positions them as a key player in the future of Web3 development. With the release of Proof of SQL under an open software license, the company has taken a significant step towards democratizing access to cutting-edge zero-knowledge proof technology and empowering developers to build the next generation of data-driven smart contracts and DeFi protocols. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Space and Time (SxT) , a leading provider of verifiable compute solutions for AI and blockchain integration, has made a significant stride in advancing Web3 technology by releasing Proof of SQL, a high-performance zero-knowledge prover for processing data, under an open software license on GitHub. This groundbreaking development promises to revolutionize the way developers interact with onchain and offchain datasets, enabling the creation of more sophisticated DeFi protocols and data-driven smart contracts. Space and Time (SxT) Proof of SQL is a novel zero-knowledge proof protocol developed by SxT that cryptographically ensures the accuracy of SQL database queries computed against untampered data. By leveraging this technology, developers can now compute over both onchain and offchain datasets in a trustless manner, proving the results back to their smart contracts in real-time during transactions. This capability opens up a wide range of possibilities for the next generation of DeFi applications. Jay White, PhD, Co-Founder and Head of Research at SxT, and the inventor of the Proof of SQL protocol, expressed his enthusiasm for the release, stating, "Space and Time is thrilled to lead Web3 into a new era of data-driven smart contracts and the next generation of DeFi." He emphasized the significance of the sub-second zero-knowledge proofs pioneered by SxT, which enable smart contracts and AI agents to inquire about a chain's activity and offchain data, receiving trustless SQL query results onchain during a transaction without the need for lengthy proof times. The release of Proof of SQL on GitHub follows a successful alpha testing period with a select group of SxT customers in August. The protocol's impressive performance has been demonstrated in recent benchmarks conducted by the SxT cryptography team, showcasing its ability to execute analytic queries over 100k-row tables in less than a second on a single GPU and aggregate millions of rows of indexed data within Ethereum block time on a single NVIDIA T4. Compared to generalized zero-knowledge virtual machines (zkVMs) and co-processors, Proof of SQL offers a significantly more performant architecture for processing large volumes of data. While zkVMs provide an extensible solution for arbitrary computations, data processing can be slow to prove. Proof of SQL can be integrated with these zkVMs to provide verifiable source data for executing arbitrary code, making it a valuable addition to the zero-knowledge proof ecosystem. Space and Time's decision to release Proof of SQL under an open software license demonstrates the company's commitment to fostering collaboration and innovation within the Web3 community. The company encourages and invites contributions from the community and other zero-knowledge proof engineering teams to collaborate on the repository. The prover can be integrated into any SQL database, centralized or decentralized, and is already being utilized by prominent Web3 apps, financial institutions, and enterprises. Final Thoughts The release of Proof of SQL marks a significant milestone in the evolution of Web3 technology, enabling developers to create more sophisticated and data-driven applications that leverage the security and transparency of blockchain networks. As the adoption of Web3 continues to grow, solutions like Proof of SQL will play a crucial role in unlocking the full potential of decentralized finance and other blockchain-based applications. Space and Time's innovative approach to verifiable compute and their focus on bridging the gap between AI, blockchain, and enterprise use cases positions them as a key player in the future of Web3 development. With the release of Proof of SQL under an open software license, the company has taken a significant step towards democratizing access to cutting-edge zero-knowledge proof technology and empowering developers to build the next generation of data-driven smart contracts and DeFi protocols. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: business blogging program business blogging program

Space and Time Opens New Doors for DeFi with Sub-Second ZK Prover, Proof of SQL

স্পেস এবং টাইম সাব-সেকেন্ড জেডকে প্রোভারের সাথে ডিফাইয়ের জন্য নতুন দরজা খুলেছে, এসকিউএল-এর প্রমাণ

Space and Time öffnet neue Türen für DeFi mit Sub-Second ZK Prover, Proof of SQL

Space and Time abre nuevas puertas para DeFi con ZK Prover de menos de un segundo, prueba de SQL

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Welcome back to this series where we are building web applications that incorporate tooling. , we covered what AI is, how it works, and some related terminology. AI In the previous post Articles in this Series Intro & Setup Your First AI Prompt Streaming Responses How Does AI Work Prompt Engineering AI-Generated Images Security & Reliability Deploying In this post, we’re going to cover prompt engineering, which is a way to modify your application’s behavior without changing the code. Since it’s challenging to explain without seeing the code, let’s get to it. https://www.youtube.com/watch?v=pK6WzlTOlYw&embedable=true Content Overview Start Adapting the UI Side-Quest: global.d.ts Adjust the Backend Begin Prompt Engineering Character Building Understanding Tokens Introducing LangChain Identifying the Winner Start Adapting the UI I hope, by now, you’ve come up with your idea for an AI app because this is where we’ll write mostly the same code but could end up with different apps. My app will take two different opponents and tell you who would win in a fight. I’ll start on the UI side of things because that’s easier for me. So far, we’ve been giving users a single and expecting them to write the entire prompt body to send to OpenAI. We can reduce the work users need to do and get more accurate prompts by modifying the UI to only ask for the missing details instead of the whole prompt. In my app’s case, we only need two things: opponent 1 and opponent 2. So instead of one input, we’ll have two. <textarea> This is a good opportunity to replace the with a reusable input component. <textarea> HTML I’ll add a file called to the folder. The most basic example of a Qwik component is a function that uses the function from and returns JSX. Input.jsx /src/components component$ "@builder.io/qwik" import { component$ } from "@builder.io/qwik";

export default component$((props) => {
  return (
    <div>
    </div>
  )
}) Our component should be reusable and accessible. For that, it needs a required prop, a required attribute, and an optional which will default to a random string if not provided. And any other HTML attribute can be applied directly on the form control. Input label name id Here’s what I came up with along with JSDocs type definitions (note that the function comes from ): randomString this utility repo import { component$ } from "@builder.io/qwik";
import { randomString } from "~/utils.js";

/**
 * @typedef {import("@builder.io/qwik").HTMLAttributes<HTMLTextAreaElement>} TextareaAttributes
 */

/**
 * @type {import("@builder.io/qwik").Component<TextareaAttributes  & {
 * label: string,
 * name: string,
 * id?: string,
 * value?: string
 * }>}
 */
export default component$(({id, label, value, ...props}) => {
  const id = id || randomString(8)

  return (
    <div>
      <label for={id}>{label}</label>
      <textarea id={id} {...props}>{value}</textarea>
    </div>
  )
}) It’s rudimentary, but works for our app. If you’re feeling spunky, I encourage you to modify it to support the other input and select elements. Now, instead of using a single for the whole prompt, we can replace it with one of our new Input components for each opponent. I’ll put them in a two-column grid, so they sit next to each other on large screens. <textarea> <div class="grid gap-4 sm:grid-cols-2">
  <Input label="Opponent 1" name="opponent1" />
  <Input label="Opponent 2" name="opponent2" />
</div> Side-Quest: global.d.ts If you’re interested in using or JSDocs, it may be useful to make the Qwik and global declarations so they’re easier to use across the application. TypeScript HTMLAttributes Component To do that, create a file at . Inside it, we’ll import and from with aliases, then create global declarations with their original names that implement their functionality: ./src/global.d.ts HTMLAttributes Component "@builder.io/qwik" import type { Component as QC, HTMLAttributes as QH } from "@builder.io/qwik"

declare global {
  export type Component<T> = QC<T>
  export type HTMLAttributes<T> = QH<T>
} This is just an optional step, but I like to do it because I use these two types of definitions frequently. It’s nice to not have to import them all the time. Adjust the Backend Now that we’ve changed our UI to reduce the amount of information we ask for, we can move to the backend. In the previous version, we were sending the entire prompt content using a form field named “prompt”. Now, we’re sending the two individual opponents, and we need to construct the prompt in the request handler. export const onPost = async (requestEvent) => {
  // ...
  const formData = await requestEvent.parseBody()

  const { opponent1, opponent2 } = formData
  const prompt = `Who would win in a fight between ${opponent1} and ${opponent2}?`

  // ...
} Functionally, this brings us back to where we were, except now there’s less work for the user to do and they have better guidance on what they need. That’s great! Unfortunately, the AI response is still something like, “As an AI language model I can’t predict hypothetical fights or determine definite winners blah blah blah…” It’s not very helpful. But because we’ve moved the control of the prompt to the backend, we’ve set the stage for prompt engineering because now we are in control of it instead of the user. Here’s where our apps can take wildly different routes depending on how closely you want to follow the prompt that I write or if you make your own. Begin Prompt Engineering The AI already told us that there is no way it could know who could win in a fight, but what if we’re a little more persuasive? Let’s change our prompt to something like this: const prompt = `Who would win in a fight between ${opponent1} and ${opponent2}?

Provide a creative and detailed explanation of why they would win and what tactics they might use.` Now, instead of asking the AI for a wishy-washy answer, we’re encouraging it to provide a creative explanation. The result? “In a hypothetical battle between a ninja and a pirate, the outcome would depend on several factors. Both ninjas and pirates possess unique skill sets and tactics that make them formidable opponents, so let’s imagine a thrilling encounter between the two and explore the possible outcome…” That’s much better! Of course, it’s going to be different each time, so I don’t expect you to get the same results, but the key thing is that the AI is cooperating. Character Building Our app is mostly working now, but I think we can also make it more interesting. One way to do that is to give the AI some context about the role it should play as it answers the questions. For example, why not make it answer questions as if it were a professional fighting judge from Liverpool who speaks mostly with Cockney slang? To do that, we simply need to modify our prompt, but I also like to break up my prompt into various sections so it’s easier to manage. const context = `You're a professional fighting judge from Liverpool that speaks mostly with Cockney slang`

const question = `Who would win in a fight between ${opponent1} and ${opponent2}?`

const format = `Provide a creative and detailed explanation of why they would win and what tactics they might use.`

const prompt = [context, question, format].join(' ') This way, each separate section is captured by its own variable, which makes things easier for me to follow when I look at this later on. What’s the result? “Alright, mate! Let me put on me Cockney cap and dive into this lively debate between a ninja and a pirate. Picture meself in Liverpool, surrounded by kickin’ brick walls, ready to analyze this rumble in the most creative way…” It spits out over three thousand words of ridiculousness, which is a lot of fun, but highlights another problem. The output is too long. Understanding Tokens Something worth understanding with these AI tools is “tokens”. F rom the OpenAI help article, “ “: What are tokens and how to count them? “Tokens can be thought of as pieces of words. Before the API processes the prompts, the input is broken down into tokens. These tokens are not cut up exactly where the words start or end – tokens can include trailing spaces and even sub-words.” A token accounts for roughly four characters, they are calculated based on the text that the AI receives and produces, and there are two big reasons we need to be aware of them: The platform charges based on the volume of tokens used. Each LLM has a limit on the maximum tokens it can work with. So it’s worth being cognizant of the length of text we send as a prompt as well as what we receive as a response. In some cases, you may want a lengthy response to achieve a better product, but otherwise, in other cases, it’s better to use fewer tokens. In our case, a three thousand-character response is not only a less-than-ideal user experience, it’s also costing us more money. Reducing Tokens Now that we’ve decided to reduce the tokens we use, the next question is, how? If you’ve read through the OpenAI docs, you may have noticed a parameter that we can set when we make the API request. Also, good on you for reading the docs. Five stars. max_tokens const body = {
  model: 'gpt-3.5-turbo',
  messages: [{ role: 'user', content: prompt }],
  stream: true,
  max_tokens: 100,
}

const response = await fetch('https://api.openai.com/v1/chat/completions', {
  method: 'post',
  headers: {
    'Content-Type': 'application/json',
    Authorization: `Bearer ${OPENAI_API_KEY}`,
  },
  body: JSON.stringify(body)
}) Let’s see what happens when we set the parameter to something like 100. max_tokens Ok, now this is about the right length that I want, but it looks like it’s getting cut off. That’s because the GPT was given a hard limit on how much it could return, but it doesn’t account for that when constructing the response. As a result, we end up with an incomplete thought. Not ideal. Programmatically limiting the allowed length probably makes sense in some applications. It may even make sense in this one to add an upper bound. But to get a short AND complete response, the solution comes back to prompt engineering. Let’s modify our prompt to ask for a “short explanation” instead of a “creative and detailed” one. const format = `Only tell me who would win and a short reason why.` Okay, this is more like what I had in mind. This is about the right length and level of detail. If you want to massage it some more, I encourage you to do so, but I’m going to move on. Introducing LangChain I want to address the clunkiness of the current system. You can imagine if we had a lot more prompts and a lot more endpoints it might be hard to manage. That’s why I want to introduce a toolchain called . In this new and constantly shifting world of AI, it’s been emerging as the leading tool chain for working with prompts. LangChain Let’s see why. First, install the package with . npm install @langchain/core The most relevant thing we can do with LangChain for our project is to generate prompts using . Instead of generating our prompt from within our route handler, we can create a shareable prompt template and only provide the variables (opponent 1 & 2) at runtime. It’s essentially a factory function for prompts. prompt templates We can import the module from , then create a template and configure any variables it will consume like this: PromptTeplate "@langchain/core/prompts" const promptTemplate = new PromptTemplate({
  inputVariables: ['opponent1', 'opponent2'],
  template: `You're a professional fighting judge from Liverpool that speaks mostly with Cockney slang. Who would win in a fight between {opponent1} and {opponent2}? Only tell me who would win and a short reason why.`,
}) Notice that we’re using two called “opponent1” and “opponent2”. These will be referenced in the template inside curly braces. It tells LangChain what variables to expect at runtime and where to place them. inputVariables So now, within our route handler, instead of constructing the entire prompt, we can call and provide our variables. promptTemplate.format const prompt = await promptTemplate.format({
  opponent1: opponent1,
  opponent2: opponent2
}) Separating our prompt template from the route handler’s business logic simplifies the handler, makes the template easier to maintain, and allows us to export and share the template across the codebase if needed. It’s worth mentioning that prompt templates are not the only benefit that LangChain offers. They also have tooling for managing the memory in chat applications, caching, handling timeouts, rate limiting, and more. This is just an introduction, but it’s worth getting more familiar with the capabilities if you plan on going deeper. Identifying the Winner One last thing that I want to do before we finish up today is to highlight the winner based on the response. Unfortunately, it’s hard to know that from a large block of indeterminate text. Now, you may be thinking it would be nice to use a JSON object containing the winner and the text, and you’d be right. Just one problem, in order to parse JSON, we need the entire JSON string, which means we would need to wait until the entire text completes. This kind of defeats the purpose of streaming. This was one of the tricky challenges I found dealing with AI APIs. The solution I came up with was to format the streaming response like so: winner: opponent1 (or opponent2). reason: the reason they won... This way, I could grab the winner programmatically and continue writing the reason to the page as it arrived by skipping the unrelated text. I’d love to hear your thoughts or see what you come up with, but let’s see how this worked. First, we need to modify the prompt. For the AI to know how to respond with the winner, both opponents need a label (“opponent1” and “opponent2”). We’ll add those labels in parentheses when we first mention the opponents. And since we have a more specific requirement on what the returned format needs to be, we should also include that in the template. Here’s what my template looks like now: `You're a professional fighting judge from Liverpool that speaks mostly with Cockney slang. Who would win in a fight between {opponent1} ("opponent1") and {opponent2}("opponent2")? Only tell me who would win and a short reason why.

Format the response like this:
"winner: 'opponent1' or 'opponent2'. reason: the reason they won."` Notice how now I’m giving the AI an example of what the response should look like. This is sometimes referred to as a one-shot prompt. What we had before without any example would be a zero-shot prompt. You can also have a multi-shot where you provide multiple examples. OK, so now we should get back some text that tells us who the winner is and the reasoning. The last step is to modify the way the frontend deals with this response so we separate the winner from the reasoning. Showing just the reason to the user is the easy part. The first bit of the response will always be “ “. So we can store the whole string in state, but skip the first 27 characters and show just the reason to the user. There are certainly some more advanced ways to get just the reasoning, but sometimes I prefer a simple solution. winner: opponent1 (or 2). reason: We can replace this: <p>{state.text}</p> With this: <p>{state.text.slice(27)}</p> Identifying the winner is a little more robust. When the streaming response comes back, it still gets pushed to . After the response is completed, we can pluck the winner from the results. state.text You could slice the string, but I chose to use a : Regular Expression // Previous fetch request logic

const winnerPattern = /winner:\s+(\w+).*/gi
const match = winnerPattern.exec(state.text)
const winner = match?.length ? match[1].toLowerCase() : '' This Regular Expression looks for a string beginning with “winner:”, has an optional white-space character, then captures the next whole word up until a period character. Compared to our template, the captured word should either be “opponent1” or “opponent2”, our winners ;) Once you have the winner, what you do with that information is up to you. I thought it would be cool to store it in state, and apply a fun rainbow background animation and confetti explosion ( ) to the corresponding . party-js <textarea> That’s so fun. I love it! I’ll let you sort that out if you want to recreate it, but here’s some of the code in case you’re interested. JS: if (state.winner) {
  const winnerInput = document.querySelector(`textarea[name=${state.winner}]`)
  if (winnerInput) {
    party.confetti(winnerInput, {
      count: 40,
      size: 2,
      spread: 15
    })
  }
} CSS: .rainbow {
  color: #fff;
  background: linear-gradient(45deg, #cc0000, #c8cc00, #38cc00, #00ccb5, #0015cc, #5f00cc, #c200cc, #cc0000);
  background-size: 1600% 1600%;
  animation: BgSlide 2s linear infinite;
}
@keyframes BgSlide {
  0% { background-position: 0% 50%; }
  100% { background-position: 100% 50%; }
} Review Alright, in the end, we did get into a few code changes, but I don’t want that to overshadow the main focus of this article. Now, we can drastically change the behavior of our app just by tweaking the prompt. Some things we covered were: Providing the AI with some context about its role. Formatting responses. The importance of understanding tokens. Tooling like LangChain Zero-shot, one-shot, and n-shot prompts. I also don’t want to understate how much work can go into getting a prompt just right. This post was a silly example, but it took me a very long time to figure out the right permutations of words and formats to get what I needed. Don’t feel bad if it takes you a while to get used to it as well. I truly believe that becoming a good prompt engineer will serve you well in the future. Even if you’re not building apps, it helps interact with GPTs. But if you’re building apps, the key differentiating factors between the winners and losers will be the secret sauce that goes into the prompts the form factor of using the app. It will need to be intuitive and provide the user with the least friction to get what they want. and In the next post, we’ll start playing around with AI image generation, which comes with its own fun and quirky experience. I hope you stick around, and feel free to reach out at any time Originally published on . austingil.com

Master Innovative Prompt Engineering — AI for Web Devs 

This one’s for the Web3 hacktivists who are seeking ‘true’ decentralization! Y’all are free to express, rant away, and write your hearts out on your anger against the monopoly and manipulation of centralization over our space - the Web3 space that should be truly decentralized. Āut Labs and HackerNoon are glad to announce ! The Opt Out writing competition series grants $9000 in USDT to the best web3 writers, and it expands over three (3) main themes for nine (9) months - making it one of the longest writing contests in the history of Web3. the Opt Out Writing Contest What do we mean by Opt Out? it’s a call to all web3 "hacktivists" and thinkers who dare to question and challenge the status quo, the societal construct where we live in. Using decentralized technology and collective autonomy to shake its very foundations - made of bureaucracy, institutions, and authoritarian legacy. It combines the core principles of decentralized technologies, inviting hackers and writers to push them forward - exploring these concepts from a creative and/or technical standpoint alike. We start by opting out of a system that doesn’t represent us, and after 9 months, we arrive to define a whole new #system shaped through collective autonomy. is designed for writers to share their views and knowledge in a genuine, spontaneous way, in a variety of styles - spacing from creative writing to technical-scientific essays, to brand new mechanisms and system design. Offering solutions, perspectives and stories for moving towards collective action and societal change. Opt Out We’d mostly like to see: Including dystopian short stories and other speculative narratives. Creative Writing: Welcoming both academic and political essays that offer insight or critique. Essays: Covering topics like DAO, SSID, DID, IAM, VC, new or existing Web3 primitives, models and proposals for systems like enforceable systemic autonomy. Technical Analyses: About Āut Labs Āut is a collective building decentralized standards for self-sovereign Identity (SSID, IAM), Reputation and Communities (DAOs, Hacktivists, Network States, etc.). ​ A laboratory of experimentation, pushing the boundaries imposed by the status quo. Our protocols are designed to implement autonomy and personal freedom at a systemic level - in an effort to accelerate the transition from hierarchical power structures, to self-organizing forms of coordination. Opt out of the system that doesn’t represent you! Theme # 1: Opt out of a System that doesn’t represent you The Contest Starts Now! Decentralized technologies are designed to implement “unstoppable, self-enforcing rules (and logic)” at a systemic level - pretty much the very definition of Autonomy. And yet, a quick buck or a brief moment on the spotlight, constantly draws us back - with enthusiastic disclaimers about “crypto main adoption.” 💡 Reminder: we won't take back our rights by " " dialoguing with institutions. Opt out goes in opposite direction, and it’s a way to genuinely reclaim the ethos behind decentralized technologies, communities, and economies. Decentralization gives us the chance to rebuild a more human society from the ground up - from financial systems to governance and the very concept of “state.” We have the responsibility to use that chance, and do something with it. So don’t settle. Don't negotiate. Don't compromise. Opt out of a system that doesn't represent you. By “ ”, we commit to more than a mere gesture – we are opting out of a system that doesn’t represent us, and in turn we're accessing a web of trust, where connections and actions are verifiable and intentional. opting out There are three main topics of this theme with $3k (in USDT) rewards for the top 6 writers: : You have the freedom to write on autonomy in art, tech, decentralized systems, collectives, and DAOs. #autonomy You can write on the history of identity, identity in the digital space, the evolution of identity, the impact of web3 and decentralization on identity, and more! : #identity ‘To Sybil or not to Sybil’, ‘self-sovereignity in action’, ‘balancing self-sovereignty and collective responsibility’, - there are many ideas you can write on. #selfsovereignity: Our friends at Āut Labs have prepared with more context on these topics and more ideas for your creative juices flowing! this detailed writing prompt for web3 hacktivists Prizes for the Contest #1: Opt out of a System that doesn’t represent you A total of $3,000 (in USDT) is up for grabs, with $1,000 for each Tag: #autonomy, #identity, and #selfsoverignity Prizes Breakdown for Each Tag 1st: $750 in USDT 2nd: $250 in USDT The Writing Contest by Āut Labs: Guidelines and FAQs Opt Out Who Can Enter the Contest?​ Anyone over the age of 18. There are no location restrictions. Can I Write Under a Pen Name? Yes! You can use your real name on your HackerNoon profile, a fake name, or even create a persona to write under. How Can I Enter the Contest? 1. Signup or login with your Web3 wallet. Details . here Log into HackerNoon with your Web3 wallet to submit your entry. Use to enter the contest. this template Write your piece and ensure it aligns with the chosen topic. Each entry must include the topic-specific tag (e.g., #autonomy, #identity, etc.) along with the general competition tags (#optout). Post your story on Twitter using the #āut and #OptOut hashtags and tagging @opt_au and @hackernoon. Can I use AI to write a story? ​Sure, you can! We will notice it, though, and you will be disqualified 😇 Humans can write beautifully - and we can’t wait to read beautiful human submissions. How Long Will the Contests Run?​ The contest consists of 3 themes and will run for nine months. We will announce the shortlisted top ten stories every month. The final results and winner for each round will be announced at the end of each thematic contest. This is the announcement of the first writing contest in the series. ​ Active Contest Contest #1: Jan 9th - April 9th, 2024 Finalists Announcement: Every Month Winners Announcement: April 2024 Contest #2: April 10th - July 10th, 2024 Finalists Announcement: Every Month Winners Announcement: July 2024 ​ Contest #3: July 11th - October 9th, 2024 Finalists Announcement: Every Month Winners Announcement: October 2024 Can I submit more than one entry to the contest? Of course. Each story submission shall be considered a new entry into the writing contest. How are the winners selected? Each month, we’ll take the top 10 story submissions that receive the most eyeballs (real humans, not bots!). We will announce the shortlisted top ten stories from every month. The editors will vote for the top stories of each month. The winners will be announced at the end of each contest. Apart from $9k in prizes, the sponsor has committed to offering the winners and standout contributors a place at ĀutDAO in a creative role! You can use to enter the contest. this prompt All the best, hacktivists! Visit for more updates from us. contests.hackernoon.com

#OptOut: A Series of Writing Contests for Web3 Hacktivists by Āut Labs

#অপ্টআউট: আউট ল্যাব দ্বারা ওয়েব3 হ্যাকটিভিস্টদের জন্য লেখার প্রতিযোগিতার একটি সিরিজ

#OptOut: Eine Reihe von Schreibwettbewerben für Web3-Hacktivisten von Āut Labs

#OptOut: una serie de concursos de redacción para hacktivistas de Web3 organizados por Āut Labs

#OptOut : une série de concours d'écriture pour les hacktivistes du Web3 par Āut Labs

#ऑप्टआउट: ऑट लैब्स द्वारा वेब3 हैक्टिविस्ट्स के लिए लेखन प्रतियोगिताओं की एक श्रृंखला

#OptOut: Āut Labs による Web3 ハクティビスト向けの一連のライティング コンテスト

#OptOut: Āut Labs가 진행하는 Web3 핵티비스트를 위한 글쓰기 콘테스트 시리즈

#OptOut: uma série de concursos de redação para hacktivistas Web3 da Āut Labs

#OptOut: серия конкурсов писателей для хактивистов Web3 от Āut Labs

#OptOut: Āut Labs'tan Web3 Hacktivistleri için Bir Dizi Yazma Yarışması

#OptOut: Chuỗi cuộc thi viết dành cho những kẻ tấn công Web3 của Āut Labs

#OptOut：Āut Labs 为 Web3 黑客活动家举办的一系列写作比赛

In the quest to simulate cosmic expanses and the intricate dance of celestial bodies, algorithms such as Particle-Mesh (PM) and its more nuanced counterpart, Particle-Particle-Particle-Mesh (P3M), have revolutionized our computational approach. These methods, which are deeply rooted in the seminal work of Hockney and Eastwood, provide a powerful framework for simulations, which I've explored and implemented with the help of modern GPU capabilities. Based on my peer-reviewed paper " ," this blog post provides a condensed exploration of these algorithms and their GPU implementations. Computational simulation using particles on GPU and GLSL language PM and P3M Algorithms: A Primer The PM algorithm works by assigning masses to a regular grid, solving the Poisson equation for the potential, and then differentiating the potential to obtain forces. This method simplifies the n-body problem, making it computationally feasible. The P3M algorithm extends PM by incorporating short-range corrections via direct particle-particle interactions, resulting in improved accuracy in force computations without significantly increasing computational load. GPU Implementation: A Leap in Performance Going into greater detail, my implementation of the PM algorithm makes use of the versatility and power of the GLSL language and Vulkan API, ensuring compatibility across a wide range of graphics cards, from integrated Intel GPUs to the robust Apple M1 chips. Here is how I customized the PM algorithm for the GPU: First Stage: Point Partitioning The first stage involves partitioning points within parallelepipeds, laying the groundwork for the subsequent density assignment. We build 32x32 linked lists, each of which corresponds to a region in space. The goal is for each list to contain the indices of points in the corresponding parallelepiped. We start by defining shared lists for each partition in GLSL using the compute shader: // particles3_parts.comp - List Construction
const int nl = 32; // number of linked lists along one dimension
shared int lists[nl][nl];

// Initialize lists to -1
for (uint i = from; i < to; i++) {
    list[i] = -1;
}

lists[gl_LocalInvocationID.y][gl_LocalInvocationID.x] = -1;
barrier();

float h32 = l/32.0; // grid size divided by number of lists

// Build the linked lists by x, y coordinates
for (uint i = from; i < to; i++) {
    vec2 x = vec2(Position[i]) - vec2(origin);
    ivec2 index = clamp(ivec2(floor(x/h32)), 0, 31);

    // The head of the list for the area (index.y, index.x) is 
    // in lists[index.y][index.x]
    // The previous list element is saved in list[i]
    // Each thread updates a unique element, so no synchronization is needed here
    list[i] = atomicExchange(lists[index.y][index.x], int(i));
}
... After populating the shared lists, we have a structured overview of where each point lies within our space-partitioning grid. The GPU's atomic operations ensure that this process is both fast and accurate, laying the groundwork for efficient mass distribution in the PM algorithm's subsequent steps. Take a look at this illustrative image to get a better idea of how these 2x2 linked lists are built and function within the larger context of our partitioning strategy: This visualization depicts the process on a simplified 2x2 grid. In practice, a 32x32 grid is used, but the principles remain the same, albeit on a larger scale. With our 32x32 linked lists ready, we move on to the mass distribution phase. We traverse the lists in a chessboard pattern here, which is not only systematic but also strategically designed to avoid race conditions when writing density values to our density array. This traversal is depicted in the following image, where the active lists being processed at any given time are highlighted in blue: As we cycle through the particles in each list, we distribute their mass across the grid nodes. The chessboard-like processing pattern ensures that simultaneous writes to the density array from multiple threads do not interfere with each other, avoiding the classic problem of race conditions. This method improves the algorithm's efficiency while also ensuring data integrity. The compute shader, which serves as the foundation of this initial setup, orchestrates the creation of linked lists within the GPU. For those who are interested in the actual code and its nuances, the compute shader responsible for this can be found on my GitHub repository: . particles3_parts.comp - Constructing Linked Lists on the GPU Once our lists are established, we will traverse them in a chessboard pattern to avoid data races during mass distribution. The corresponding shader, which handles this traversal and density array construction meticulously, can also be viewed in detail here: . particles3_mass.comp - Traversal and Density Distribution Shader For the mass distribution, we use linear interpolation, leveraging barycentric coordinates to weigh the mass across the grid nodes. This technique ensures a smooth and continuous mass transition, which is critical for simulating physical systems. Consider the image below, which depicts the mass distribution using the Cloud-in-Cell (CIC) method: The use of linear interpolation for mass distribution is a technique that mirrors physical reality by ensuring that the influence of a particle is felt across its immediate vicinity in a manner proportional to its position within a cell. Poisson's Equation and Fast Fourier Transform Solving Poisson's equation to calculate gravitational potential from mass distribution is a critical component of the PM algorithm. In my implementation, I use variable separation and a Fast Discrete Real Fourier Transform (FDRFT), adapting the algorithm described in A. A. Samarskii and E. S. Nikolaev's book "Numerical Methods for Grid Equations." This adaptation was specifically designed for GPU execution, leveraging its parallel processing capabilities to improve computational performance. The shader code responsible for this part of the computation is complex, reflecting both the complexities of the mathematical procedure and the optimizations required for GPU use. The shader is proof of modern computing platforms' power and ability to handle calculations that were previously the exclusive domain of supercomputers. For a more in-depth look at this process, please see the shader that handles the Poisson's equation using FDRFT on the GPU: . particles3_poisson2.comp shader The P3M Algorithm and GPU Acceleration The P3M (Particle-Particle Particle-Mesh) algorithm improves on the PM (Particle-Mesh) algorithm, particularly in how it computes local forces using Newtonian mechanics. While both algorithms share common ground, the P3M algorithm adds an extra layer of precision by partitioning points into cubes rather than parallelepipeds, improving the granularity of the mass distribution and force computation. Advancing to Cubic Partitioning The P3M implementation involves additional partitioning using lists, which is similar to the PM algorithm but takes a step further to accommodate cubic volumes. This additional step, which closely follows the classic Newtonian formulation, allows for a more precise calculation of local forces. Computing Newtonian Forces in Parallel The calculation of these local forces in parallel employs a classic parallel algorithm, which is finely detailed in the paper " " by L. Nyland, M. Harris, and J. Prins. This seminal work underpins the parallel computational approach adapted for the GPU, enabling significantly faster computations required for large-scale simulations. Fast N-Body Simulation with CUDA The shader codes that power these computations can be examined in greater depth by visiting the following links: For the sorting process that prepares the data for force calculations: . particles3_pp_sort.comp shader For the parallel force computation itself: . particles3_pp.comp shader Final Steps with Vertex Shader The calculation of velocities and positions is the culmination of the P3M algorithm on the GPU. This is accomplished deftly with the Velocity Verlet algorithm, an integration method that provides a symplectic solution—ideal for conserving energy over long simulations, which is critical for accurate astrophysical results. The shader responsible for these final calculations can be found here: . particles3.vert shader The Velocity Verlet algorithm is a pillar of computational physics, providing stable and efficient computations of particle trajectories. For those who are unfamiliar with the Velocity Verlet algorithm, a primer can be found on its . Wikipedia page Performance Benchmarks Our implementations have resulted in significant performance improvements. The following table summarizes the benchmarks: Stage M1 (CPU) M1 (GPU) Nvidia 3060 Density 9.45 11.61 2.26 Potential 8.87 5.69 0.86 Force 313.93 103.09 28.87 Positions 82.74 8.38 33.54 In the performance comparison table, we look at the execution time of each stage of the algorithm, measured in milliseconds across different processors: Apple M1 (CPU), Apple M2 (GPU), and Nvidia 3060. For the CPU version of the algorithm, OpenMP was utilized. The data from this table reveals a significant performance difference: the algorithm on the Nvidia 3060 runs 13 times faster compared to its execution on the Apple M1 CPU. These calculations were conducted with one million particles and a grid size of 64x64x64. The P3M Algorithm and GPU Acceleration: A Note on Performance When it comes to GPU acceleration, the P3M and PM algorithms present some computational challenges. Atomic operations and the management of linked lists, in particular, are not inherently optimal for GPU architectures. Despite this, the bottlenecks of these algorithms are located elsewhere. Bottlenecks in Performance The primary bottleneck in the PM algorithm is updating the density matrix, which requires significant memory bandwidth and synchronization between GPU threads. This limitation is vividly highlighted in a performance analysis using NVIDIA Nsight Graphics, as shown in this screenshot: The P3M algorithm, on the other hand, has a bottleneck in the computation of local forces, which requires intensive floating-point operations and data shuffling between GPU threads and memory. This performance barrier is also visible in a detailed Nsight Graphics analysis, as shown in this screenshot: Future Optimizations Recognizing these performance bottlenecks, the program's next iterations will concentrate on addressing these issues. The efficiency of these calculations is hoped to be significantly improved through careful optimization and possibly leveraging new GPU features or architecture improvements. While these challenges are not trivial, the solutions will not only improve the performance of the P3M and PM algorithms but may also contribute to the broader field of computational physics, where such algorithms are widely used. Further Insights For those interested in learning more about these simulations, check out these YouTube videos that show the calculation of a galaxy's evolution and the dynamics of the early universe: Galaxy Simulation Early Universe Evolution In the simulation video linked above, the Friedman universe model has been used to account for the expansion of the universe. This model describes a universe filled with homogeneously distributed fluid with pressure and energy, which governs the observed dynamics of cosmic expansion. For a more in-depth understanding of this model, see the . Friedman Universe on Wikipedia Finally, for enthusiasts and fellow developers, the source code for these algorithms, written in GLSL and using the Vulkan API to ensure compatibility across various GPUs, including Intel integrated graphics and Apple's M1, is available on GitHub: . Access the Source Code Repository Conclusion In conclusion, modern mid-range gaming graphics cards and integrated GPUs are proving to be quite capable of accelerating numerical computations. The algorithms presented are implemented efficiently, with GPU computation times comparable to cluster processing across multiple nodes. The findings are consistent with those of other researchers, confirming the accuracy of this approach. The developed program can serve as a solid foundation for particle-based computational physics problems. Subroutines like the one for solving Poisson's equation could be applied to more complex hydrodynamic problems. One key advantage of the approach described here is the ability to use a personal computer for rapid, parameter-varying numerical experiments with the luxury of real-time observation of evolving changes without the need for intermediate file storage or separate visualization software. While not all aspects of the algorithm perform optimally on GPUs (for example, mass distribution on the grid), careful optimization of GPU parameters such as computation partitioning, stream counts, and shared memory usage within thread groups has the potential for significant performance gains.

Unveiling the Power of PM and P3M Algorithms on GPUs

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