• game design, National Film and Television School, MFA, gaming industry, career, education, game development, creative arts, multimedia, game design programs

    ## The National Film and Television School: A Hollow Promise for Aspiring Game Designers

    Let’s cut to the chase: the National Film and Television School (NFTS) touts itself as one of the premier institutions for learning game design. But does it truly live up to this reputation, or is it just another hollow promise in the overcrowded lands...
    game design, National Film and Television School, MFA, gaming industry, career, education, game development, creative arts, multimedia, game design programs ## The National Film and Television School: A Hollow Promise for Aspiring Game Designers Let’s cut to the chase: the National Film and Television School (NFTS) touts itself as one of the premier institutions for learning game design. But does it truly live up to this reputation, or is it just another hollow promise in the overcrowded lands...
    Did you know the National Film and Television School is one of the best places to learn game design?
    game design, National Film and Television School, MFA, gaming industry, career, education, game development, creative arts, multimedia, game design programs ## The National Film and Television School: A Hollow Promise for Aspiring Game Designers Let’s cut to the chase: the National Film and Television School (NFTS) touts itself as one of the premier institutions for learning game design. But...
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  • What professionals really think about “Vibe Coding”

    Many don’t like it, buteverybody agrees it’s the future.“Vibe Coding” is everywhere. Tools and game engines are implementing AI-assisted coding, vibe coding interest skyrocketed on Google search, on social media, everybody claims to build apps and games in minutes, while the comment section gets flooded with angry developers calling out the pile of garbage code that will never be shipped.A screenshot from Andrej Karpathy with the original “definition” of Vibe CodingBUT, how do professionals feel about it?This is what I will cover in this article. We will look at:How people react to the term vibe coding,How their attitude differs based on who they are and their professional experienceThe reason for their stance towards “vibe coding”How they feel about the impact “vibe coding” will have in the next 5 yearsIt all started with this survey on LinkedIn. I have always been curious about how technology can support creatives and I believe that the only way to get a deeper understanding is to go beyond buzzwords and ask the hard questions. That’s why for over a year, I’ve been conducting weekly interviews with both the founders developing these tools and the creatives utilising them. If you want to learn their journeys, I’ve gathered their insights and experiences on my blog called XR AI Spotlight.Driven by the same motives and curious about people’s feelings about “vibe coding”, I asked a simple question: How does the term “Vibe Coding” make you feel?Original LinkedIn poll by Gabriele RomagnoliIn just three days, the poll collected 139 votes and it was clear that most responders didn’t have a good “vibe” about it. The remaining half was equally split between excitement and no specific feeling.But who are these people? What is their professional background? Why did they respond the way they did?Curious, I created a more comprehensive survey and sent it to everyone who voted on the LinkedIn poll.The survey had four questions:Select what describes you best: developers, creative, non-creative professionalHow many years of experience do you have? 1–5, 6–10, 11–15 or 16+Explain why the term “vibe coding” makes you feel excited/neutral/dismissive?Do you think “vibe coding” will become more relevant in the next 5 years?: It’s the future, only in niche use cases, unlikely, no idea)In a few days, I collected 62 replies and started digging into the findings, and that’s when I finally started understanding who took part in the initial poll.The audienceWhen characterising the audience, I refrained from adding too many options because I just wanted to understand:If the people responding were the ones making stuffWhat percentage of makers were creatives and what developersI was happy to see that only 8% of respondents were non-creative professionals and the remaining 92% were actual makers who have more “skin in the game“ with almost a 50/50 split between creatives and developers. There was also a good spread in the degree of professional experience of the respondents, but that’s where things started to get surprising.Respondents are mostly “makers” and show a good variety in professional experienceWhen creating 2 groups with people who have more or less than 10 years of experience, it is clear that less experienced professionals skew more towards a neutral or negative stance than the more experienced group.Experienced professionals are more positive and open to vibe codingThis might be because senior professionals see AI as a tool to accelerate their workflows, while more juniors perceive it as a competitor or threat.I then took out the non-professional creatives and looked at the attitude of these 2 groups. Not surprisingly, fewer creatives than developers have a negative attitude towards “vibe coding”, but the percentage of creatives and developers who have a positive attitude stays almost constant. This means that creatives have a more indecisive or neutral stance than developers.Creatives have a more positive attitude to vibe coding than developersWhat are people saying about “vibe coding”?As part of the survey, everybody had the chance to add a few sentences explaining their stance. This was not a compulsory field, but to my surprise, only 3 of the 62 left it empty. Before getting into the sentiment analysis, I noticed something quite interesting while filtering the data. People with a negative attitude had much more to say, and their responses were significantly longer than the other group. They wrote an average of 59 words while the others barely 37 and I think is a good indication of the emotional investment of people who want to articulate and explain their point. Let’s now look at what the different groups of people replied. Patterns in Positive Responses to “Vibe Coding”Positive responders often embraced vibe coding as a way to break free from rigid programming structures and instead explore, improvise, and experiment creatively.“It puts no pressure on it being perfect or thorough.”“Pursuing the vibe, trying what works and then adapt.”“Coding can be geeky and laborious… ‘vibing’ is quite nice.”This perspective repositions code not as rigid infrastructure, but something that favors creativity and playfulness over precision.Several answers point to vibe coding as a democratizing force opening up coding to a broader audience, who want to build without going through the traditional gatekeeping of engineering culture.“For every person complaining… there are ten who are dabbling in code and programming, building stuff without permission.”“Bridges creative with technical perfectly, thus creating potential for independence.”This group often used words like “freedom,” “reframing,” and “revolution.”. Patterns in Neutral Responses to “Vibe Coding”As shown in the initial LinkedIn poll, 27% of respondents expressed mixed feelings. When going through their responses, they recognised potential and were open to experimentation but they also had lingering doubts about the name, seriousness, and future usefulness.“It’s still a hype or buzzword.”“I have mixed feelings of fascination and scepticism.”“Unsure about further developments.”They were on the fence and were often enthusiastic about the capability, but wary of the framing.Neutral responders also acknowledged that complex, polished, or production-level work still requires traditional approaches and framed vibe coding as an early-stage assistant, not a full solution.“Nice tool, but not more than autocomplete on steroids.”“Helps get setup quickly… but critical thinking is still a human job.”“Great for prototyping, not enough to finalize product.”Some respondents were indifferent to the term itself, viewing it more as a label or meme than a paradigm shift. For them, it doesn’t change the substance of what’s happening.“At the end of the day they are just words. Are you able to accomplish what’s needed?”“I think it’s been around forever, just now with a new name.”These voices grounded the discussion in the terminology and I think they bring up a very important point that leads to the polarisation of a lot of the conversations around “vibe coding”. Patterns in Negative Responses to “Vibe Coding”Many respondents expressed concern that vibe coding implies a casual, unstructured approach to coding. This was often linked to fears about poor code quality, bugs, and security issues.“Feels like building a house without knowing how electricity and water systems work.”“Without fundamental knowledge… you quickly lose control over the output.”The term was also seen as dismissive or diminishing the value of skilled developers. It really rubbed people the wrong way, especially those with professional experience.“It downplays the skill and intention behind writing a functional, efficient program.”“Vibe coding implies not understanding what the AI does but still micromanaging it.”Like for “neutral” respondents, there’s a strong mistrust around how the term is usedwhere it’s seen as fueling unrealistic expectations or being pushed by non-experts.“Used to promote coding without knowledge.”“Just another overhyped term like NFTs or memecoins.”“It feels like a joke that went too far.”Ultimately, I decided to compare attitudes that are excitedand acceptingof vibe coding vs. those that reject or criticise it. After all, even among people who were neutral, there was a general acceptance that vibe coding has its place. Many saw it as a useful tool for things like prototyping, creative exploration, or simply making it easier to get started. What really stood out, though, was the absence of fear that was very prominent in the “negative” group and saw vibe coding as a threat to software quality or professional identity.People in the neutral and positive groups generally see potential. They view it as useful for prototyping, creative exploration, or making coding more accessible, but they still recognise the need for structure in complex systems. In contrast, the negative group rejects the concept outright, and not just the name, but what it stands for: a more casual, less rigorous approach to coding. Their opinion is often rooted in defending software engineering as a disciplined craft… and probably their job. “As long as you understand the result and the process, AI can write and fix scripts much faster than humans can.” “It’s a joke. It started as a joke… but to me doesn’t encapsulate actual AI co-engineering.”On the topic of skill and control, the neutral and positive group sees AI as a helpful assistant, assuming that a human is still guiding the process. They mention refining and reviewing as normal parts of the workflow. The negative group sees more danger, fearing that vibe coding gives a false sense of competence. They describe it as producing buggy or shallow results, often in the hands of inexperienced users. “Critical thinking is still a human job… but vibe coding helps with fast results.”“Vibe-Coding takes away the very features of a good developer… logical thinking and orchestration are crucial.”Culturally, the divide is clear. The positive and neutral voices often embrace vibe coding as part of a broader shift, welcoming new types of creators and perspectives. They tend to come from design or interdisciplinary backgrounds and are more comfortable with playful language. On the other hand, the negative group associates the term with hype and cringe, criticising it as disrespectful to those who’ve spent years honing their technical skills.“It’s about playful, relaxed creation — for the love of making something.”Creating a lot of unsafe bloatware with no proper planning.”What’s the future of “Vibe Coding”?The responses to the last question were probably the most surprising to me. I was expecting that the big scepticism towards vibe coding would align with the scepticism on its future, but that was not the case. 90% of people still see “vibe coding” becoming more relevant overall or in niche use cases.Vibe coding is here to stayOut of curiosity, I also went back to see if there was any difference based on professional experience, and that’s where we see the more experienced audience being more conservative. Only 30% of more senior Vs 50% of less experienced professionals see vibe coding playing a role in niche use cases and 13 % Vs only 3% of more experienced users don’t see vibe coding becoming more relevant at all.More experienced professionals are less likely to think Vibe Coding is the futureThere are still many open questions. What is “vibe coding” really? For whom is it? What can you do with it?To answer these questions, I decided to start a new survey you can find here. If you would like to further contribute to this research, I encourage you to participate and in case you are interested, I will share the results with you as well.The more I read or learn about this, I feel “Vibe Coding” is like the “Metaverse”:Some people hate it, some people love it.Everybody means something differentIn one form or another, it is here to stay.What professionals really think about “Vibe Coding” was originally published in UX Collective on Medium, where people are continuing the conversation by highlighting and responding to this story.
    #what #professionals #really #think #about
    What professionals really think about “Vibe Coding”
    Many don’t like it, buteverybody agrees it’s the future.“Vibe Coding” is everywhere. Tools and game engines are implementing AI-assisted coding, vibe coding interest skyrocketed on Google search, on social media, everybody claims to build apps and games in minutes, while the comment section gets flooded with angry developers calling out the pile of garbage code that will never be shipped.A screenshot from Andrej Karpathy with the original “definition” of Vibe CodingBUT, how do professionals feel about it?This is what I will cover in this article. We will look at:How people react to the term vibe coding,How their attitude differs based on who they are and their professional experienceThe reason for their stance towards “vibe coding”How they feel about the impact “vibe coding” will have in the next 5 yearsIt all started with this survey on LinkedIn. I have always been curious about how technology can support creatives and I believe that the only way to get a deeper understanding is to go beyond buzzwords and ask the hard questions. That’s why for over a year, I’ve been conducting weekly interviews with both the founders developing these tools and the creatives utilising them. If you want to learn their journeys, I’ve gathered their insights and experiences on my blog called XR AI Spotlight.Driven by the same motives and curious about people’s feelings about “vibe coding”, I asked a simple question: How does the term “Vibe Coding” make you feel?Original LinkedIn poll by Gabriele RomagnoliIn just three days, the poll collected 139 votes and it was clear that most responders didn’t have a good “vibe” about it. The remaining half was equally split between excitement and no specific feeling.But who are these people? What is their professional background? Why did they respond the way they did?Curious, I created a more comprehensive survey and sent it to everyone who voted on the LinkedIn poll.The survey had four questions:Select what describes you best: developers, creative, non-creative professionalHow many years of experience do you have? 1–5, 6–10, 11–15 or 16+Explain why the term “vibe coding” makes you feel excited/neutral/dismissive?Do you think “vibe coding” will become more relevant in the next 5 years?: It’s the future, only in niche use cases, unlikely, no idea)In a few days, I collected 62 replies and started digging into the findings, and that’s when I finally started understanding who took part in the initial poll.The audienceWhen characterising the audience, I refrained from adding too many options because I just wanted to understand:If the people responding were the ones making stuffWhat percentage of makers were creatives and what developersI was happy to see that only 8% of respondents were non-creative professionals and the remaining 92% were actual makers who have more “skin in the game“ with almost a 50/50 split between creatives and developers. There was also a good spread in the degree of professional experience of the respondents, but that’s where things started to get surprising.Respondents are mostly “makers” and show a good variety in professional experienceWhen creating 2 groups with people who have more or less than 10 years of experience, it is clear that less experienced professionals skew more towards a neutral or negative stance than the more experienced group.Experienced professionals are more positive and open to vibe codingThis might be because senior professionals see AI as a tool to accelerate their workflows, while more juniors perceive it as a competitor or threat.I then took out the non-professional creatives and looked at the attitude of these 2 groups. Not surprisingly, fewer creatives than developers have a negative attitude towards “vibe coding”, but the percentage of creatives and developers who have a positive attitude stays almost constant. This means that creatives have a more indecisive or neutral stance than developers.Creatives have a more positive attitude to vibe coding than developersWhat are people saying about “vibe coding”?As part of the survey, everybody had the chance to add a few sentences explaining their stance. This was not a compulsory field, but to my surprise, only 3 of the 62 left it empty. Before getting into the sentiment analysis, I noticed something quite interesting while filtering the data. People with a negative attitude had much more to say, and their responses were significantly longer than the other group. They wrote an average of 59 words while the others barely 37 and I think is a good indication of the emotional investment of people who want to articulate and explain their point. Let’s now look at what the different groups of people replied.😍 Patterns in Positive Responses to “Vibe Coding”Positive responders often embraced vibe coding as a way to break free from rigid programming structures and instead explore, improvise, and experiment creatively.“It puts no pressure on it being perfect or thorough.”“Pursuing the vibe, trying what works and then adapt.”“Coding can be geeky and laborious… ‘vibing’ is quite nice.”This perspective repositions code not as rigid infrastructure, but something that favors creativity and playfulness over precision.Several answers point to vibe coding as a democratizing force opening up coding to a broader audience, who want to build without going through the traditional gatekeeping of engineering culture.“For every person complaining… there are ten who are dabbling in code and programming, building stuff without permission.”“Bridges creative with technical perfectly, thus creating potential for independence.”This group often used words like “freedom,” “reframing,” and “revolution.”.😑 Patterns in Neutral Responses to “Vibe Coding”As shown in the initial LinkedIn poll, 27% of respondents expressed mixed feelings. When going through their responses, they recognised potential and were open to experimentation but they also had lingering doubts about the name, seriousness, and future usefulness.“It’s still a hype or buzzword.”“I have mixed feelings of fascination and scepticism.”“Unsure about further developments.”They were on the fence and were often enthusiastic about the capability, but wary of the framing.Neutral responders also acknowledged that complex, polished, or production-level work still requires traditional approaches and framed vibe coding as an early-stage assistant, not a full solution.“Nice tool, but not more than autocomplete on steroids.”“Helps get setup quickly… but critical thinking is still a human job.”“Great for prototyping, not enough to finalize product.”Some respondents were indifferent to the term itself, viewing it more as a label or meme than a paradigm shift. For them, it doesn’t change the substance of what’s happening.“At the end of the day they are just words. Are you able to accomplish what’s needed?”“I think it’s been around forever, just now with a new name.”These voices grounded the discussion in the terminology and I think they bring up a very important point that leads to the polarisation of a lot of the conversations around “vibe coding”.🤮 Patterns in Negative Responses to “Vibe Coding”Many respondents expressed concern that vibe coding implies a casual, unstructured approach to coding. This was often linked to fears about poor code quality, bugs, and security issues.“Feels like building a house without knowing how electricity and water systems work.”“Without fundamental knowledge… you quickly lose control over the output.”The term was also seen as dismissive or diminishing the value of skilled developers. It really rubbed people the wrong way, especially those with professional experience.“It downplays the skill and intention behind writing a functional, efficient program.”“Vibe coding implies not understanding what the AI does but still micromanaging it.”Like for “neutral” respondents, there’s a strong mistrust around how the term is usedwhere it’s seen as fueling unrealistic expectations or being pushed by non-experts.“Used to promote coding without knowledge.”“Just another overhyped term like NFTs or memecoins.”“It feels like a joke that went too far.”Ultimately, I decided to compare attitudes that are excitedand acceptingof vibe coding vs. those that reject or criticise it. After all, even among people who were neutral, there was a general acceptance that vibe coding has its place. Many saw it as a useful tool for things like prototyping, creative exploration, or simply making it easier to get started. What really stood out, though, was the absence of fear that was very prominent in the “negative” group and saw vibe coding as a threat to software quality or professional identity.People in the neutral and positive groups generally see potential. They view it as useful for prototyping, creative exploration, or making coding more accessible, but they still recognise the need for structure in complex systems. In contrast, the negative group rejects the concept outright, and not just the name, but what it stands for: a more casual, less rigorous approach to coding. Their opinion is often rooted in defending software engineering as a disciplined craft… and probably their job.😍 “As long as you understand the result and the process, AI can write and fix scripts much faster than humans can.”🤮 “It’s a joke. It started as a joke… but to me doesn’t encapsulate actual AI co-engineering.”On the topic of skill and control, the neutral and positive group sees AI as a helpful assistant, assuming that a human is still guiding the process. They mention refining and reviewing as normal parts of the workflow. The negative group sees more danger, fearing that vibe coding gives a false sense of competence. They describe it as producing buggy or shallow results, often in the hands of inexperienced users.😑 “Critical thinking is still a human job… but vibe coding helps with fast results.”🤮“Vibe-Coding takes away the very features of a good developer… logical thinking and orchestration are crucial.”Culturally, the divide is clear. The positive and neutral voices often embrace vibe coding as part of a broader shift, welcoming new types of creators and perspectives. They tend to come from design or interdisciplinary backgrounds and are more comfortable with playful language. On the other hand, the negative group associates the term with hype and cringe, criticising it as disrespectful to those who’ve spent years honing their technical skills.😍“It’s about playful, relaxed creation — for the love of making something.”🤮Creating a lot of unsafe bloatware with no proper planning.”What’s the future of “Vibe Coding”?The responses to the last question were probably the most surprising to me. I was expecting that the big scepticism towards vibe coding would align with the scepticism on its future, but that was not the case. 90% of people still see “vibe coding” becoming more relevant overall or in niche use cases.Vibe coding is here to stayOut of curiosity, I also went back to see if there was any difference based on professional experience, and that’s where we see the more experienced audience being more conservative. Only 30% of more senior Vs 50% of less experienced professionals see vibe coding playing a role in niche use cases and 13 % Vs only 3% of more experienced users don’t see vibe coding becoming more relevant at all.More experienced professionals are less likely to think Vibe Coding is the futureThere are still many open questions. What is “vibe coding” really? For whom is it? What can you do with it?To answer these questions, I decided to start a new survey you can find here. If you would like to further contribute to this research, I encourage you to participate and in case you are interested, I will share the results with you as well.The more I read or learn about this, I feel “Vibe Coding” is like the “Metaverse”:Some people hate it, some people love it.Everybody means something differentIn one form or another, it is here to stay.What professionals really think about “Vibe Coding” was originally published in UX Collective on Medium, where people are continuing the conversation by highlighting and responding to this story. #what #professionals #really #think #about
    UXDESIGN.CC
    What professionals really think about “Vibe Coding”
    Many don’t like it, but (almost) everybody agrees it’s the future.“Vibe Coding” is everywhere. Tools and game engines are implementing AI-assisted coding, vibe coding interest skyrocketed on Google search, on social media, everybody claims to build apps and games in minutes, while the comment section gets flooded with angry developers calling out the pile of garbage code that will never be shipped.A screenshot from Andrej Karpathy with the original “definition” of Vibe CodingBUT, how do professionals feel about it?This is what I will cover in this article. We will look at:How people react to the term vibe coding,How their attitude differs based on who they are and their professional experienceThe reason for their stance towards “vibe coding” (with direct quotes)How they feel about the impact “vibe coding” will have in the next 5 yearsIt all started with this survey on LinkedIn. I have always been curious about how technology can support creatives and I believe that the only way to get a deeper understanding is to go beyond buzzwords and ask the hard questions. That’s why for over a year, I’ve been conducting weekly interviews with both the founders developing these tools and the creatives utilising them. If you want to learn their journeys, I’ve gathered their insights and experiences on my blog called XR AI Spotlight.Driven by the same motives and curious about people’s feelings about “vibe coding”, I asked a simple question: How does the term “Vibe Coding” make you feel?Original LinkedIn poll by Gabriele RomagnoliIn just three days, the poll collected 139 votes and it was clear that most responders didn’t have a good “vibe” about it. The remaining half was equally split between excitement and no specific feeling.But who are these people? What is their professional background? Why did they respond the way they did?Curious, I created a more comprehensive survey and sent it to everyone who voted on the LinkedIn poll.The survey had four questions:Select what describes you best: developers, creative, non-creative professionalHow many years of experience do you have? 1–5, 6–10, 11–15 or 16+Explain why the term “vibe coding” makes you feel excited/neutral/dismissive?Do you think “vibe coding” will become more relevant in the next 5 years?: It’s the future, only in niche use cases, unlikely, no idea)In a few days, I collected 62 replies and started digging into the findings, and that’s when I finally started understanding who took part in the initial poll.The audienceWhen characterising the audience, I refrained from adding too many options because I just wanted to understand:If the people responding were the ones making stuffWhat percentage of makers were creatives and what developersI was happy to see that only 8% of respondents were non-creative professionals and the remaining 92% were actual makers who have more “skin in the game“ with almost a 50/50 split between creatives and developers. There was also a good spread in the degree of professional experience of the respondents, but that’s where things started to get surprising.Respondents are mostly “makers” and show a good variety in professional experienceWhen creating 2 groups with people who have more or less than 10 years of experience, it is clear that less experienced professionals skew more towards a neutral or negative stance than the more experienced group.Experienced professionals are more positive and open to vibe codingThis might be because senior professionals see AI as a tool to accelerate their workflows, while more juniors perceive it as a competitor or threat.I then took out the non-professional creatives and looked at the attitude of these 2 groups. Not surprisingly, fewer creatives than developers have a negative attitude towards “vibe coding” (47% for developers Vs 37% for creatives), but the percentage of creatives and developers who have a positive attitude stays almost constant. This means that creatives have a more indecisive or neutral stance than developers.Creatives have a more positive attitude to vibe coding than developersWhat are people saying about “vibe coding”?As part of the survey, everybody had the chance to add a few sentences explaining their stance. This was not a compulsory field, but to my surprise, only 3 of the 62 left it empty (thanks everybody). Before getting into the sentiment analysis, I noticed something quite interesting while filtering the data. People with a negative attitude had much more to say, and their responses were significantly longer than the other group. They wrote an average of 59 words while the others barely 37 and I think is a good indication of the emotional investment of people who want to articulate and explain their point. Let’s now look at what the different groups of people replied.😍 Patterns in Positive Responses to “Vibe Coding”Positive responders often embraced vibe coding as a way to break free from rigid programming structures and instead explore, improvise, and experiment creatively.“It puts no pressure on it being perfect or thorough.”“Pursuing the vibe, trying what works and then adapt.”“Coding can be geeky and laborious… ‘vibing’ is quite nice.”This perspective repositions code not as rigid infrastructure, but something that favors creativity and playfulness over precision.Several answers point to vibe coding as a democratizing force opening up coding to a broader audience, who want to build without going through the traditional gatekeeping of engineering culture.“For every person complaining… there are ten who are dabbling in code and programming, building stuff without permission.”“Bridges creative with technical perfectly, thus creating potential for independence.”This group often used words like “freedom,” “reframing,” and “revolution.”.😑 Patterns in Neutral Responses to “Vibe Coding”As shown in the initial LinkedIn poll, 27% of respondents expressed mixed feelings. When going through their responses, they recognised potential and were open to experimentation but they also had lingering doubts about the name, seriousness, and future usefulness.“It’s still a hype or buzzword.”“I have mixed feelings of fascination and scepticism.”“Unsure about further developments.”They were on the fence and were often enthusiastic about the capability, but wary of the framing.Neutral responders also acknowledged that complex, polished, or production-level work still requires traditional approaches and framed vibe coding as an early-stage assistant, not a full solution.“Nice tool, but not more than autocomplete on steroids.”“Helps get setup quickly… but critical thinking is still a human job.”“Great for prototyping, not enough to finalize product.”Some respondents were indifferent to the term itself, viewing it more as a label or meme than a paradigm shift. For them, it doesn’t change the substance of what’s happening.“At the end of the day they are just words. Are you able to accomplish what’s needed?”“I think it’s been around forever, just now with a new name.”These voices grounded the discussion in the terminology and I think they bring up a very important point that leads to the polarisation of a lot of the conversations around “vibe coding”.🤮 Patterns in Negative Responses to “Vibe Coding”Many respondents expressed concern that vibe coding implies a casual, unstructured approach to coding. This was often linked to fears about poor code quality, bugs, and security issues.“Feels like building a house without knowing how electricity and water systems work.”“Without fundamental knowledge… you quickly lose control over the output.”The term was also seen as dismissive or diminishing the value of skilled developers. It really rubbed people the wrong way, especially those with professional experience.“It downplays the skill and intention behind writing a functional, efficient program.”“Vibe coding implies not understanding what the AI does but still micromanaging it.”Like for “neutral” respondents, there’s a strong mistrust around how the term is used (especially on social media) where it’s seen as fueling unrealistic expectations or being pushed by non-experts.“Used to promote coding without knowledge.”“Just another overhyped term like NFTs or memecoins.”“It feels like a joke that went too far.”Ultimately, I decided to compare attitudes that are excited (positive) and accepting (neutral) of vibe coding vs. those that reject or criticise it. After all, even among people who were neutral, there was a general acceptance that vibe coding has its place. Many saw it as a useful tool for things like prototyping, creative exploration, or simply making it easier to get started. What really stood out, though, was the absence of fear that was very prominent in the “negative” group and saw vibe coding as a threat to software quality or professional identity.People in the neutral and positive groups generally see potential. They view it as useful for prototyping, creative exploration, or making coding more accessible, but they still recognise the need for structure in complex systems. In contrast, the negative group rejects the concept outright, and not just the name, but what it stands for: a more casual, less rigorous approach to coding. Their opinion is often rooted in defending software engineering as a disciplined craft… and probably their job.😍 “As long as you understand the result and the process, AI can write and fix scripts much faster than humans can.”🤮 “It’s a joke. It started as a joke… but to me doesn’t encapsulate actual AI co-engineering.”On the topic of skill and control, the neutral and positive group sees AI as a helpful assistant, assuming that a human is still guiding the process. They mention refining and reviewing as normal parts of the workflow. The negative group sees more danger, fearing that vibe coding gives a false sense of competence. They describe it as producing buggy or shallow results, often in the hands of inexperienced users.😑 “Critical thinking is still a human job… but vibe coding helps with fast results.”🤮“Vibe-Coding takes away the very features of a good developer… logical thinking and orchestration are crucial.”Culturally, the divide is clear. The positive and neutral voices often embrace vibe coding as part of a broader shift, welcoming new types of creators and perspectives. They tend to come from design or interdisciplinary backgrounds and are more comfortable with playful language. On the other hand, the negative group associates the term with hype and cringe, criticising it as disrespectful to those who’ve spent years honing their technical skills.😍“It’s about playful, relaxed creation — for the love of making something.”🤮Creating a lot of unsafe bloatware with no proper planning.”What’s the future of “Vibe Coding”?The responses to the last question were probably the most surprising to me. I was expecting that the big scepticism towards vibe coding would align with the scepticism on its future, but that was not the case. 90% of people still see “vibe coding” becoming more relevant overall or in niche use cases.Vibe coding is here to stayOut of curiosity, I also went back to see if there was any difference based on professional experience, and that’s where we see the more experienced audience being more conservative. Only 30% of more senior Vs 50% of less experienced professionals see vibe coding playing a role in niche use cases and 13 % Vs only 3% of more experienced users don’t see vibe coding becoming more relevant at all.More experienced professionals are less likely to think Vibe Coding is the futureThere are still many open questions. What is “vibe coding” really? For whom is it? What can you do with it?To answer these questions, I decided to start a new survey you can find here. If you would like to further contribute to this research, I encourage you to participate and in case you are interested, I will share the results with you as well.The more I read or learn about this, I feel “Vibe Coding” is like the “Metaverse”:Some people hate it, some people love it.Everybody means something differentIn one form or another, it is here to stay.What professionals really think about “Vibe Coding” was originally published in UX Collective on Medium, where people are continuing the conversation by highlighting and responding to this story.
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  • These crypto detectives helped crack North Korea’s latest $1.5 billion blockchain heist

    Crypto criminals can’t hide

    The single largest cryptocurrency heist in history took place one day in late February, when hackers exploited system vulnerabilities in Bybit, a Dubai-based crypto exchange, siphoning off a whopping billion in digital assets within minutes.

    Bybit’s security team immediately launched an investigation that would eventually involve the FBI and several blockchain intelligence companies. Among those involved from the beginning were the experts at TRM Labs, a San Francisco-based company of around 300 that analyzes the blockchain networks which power cryptocurrency transactions to investigate—and prevent—fraud and financial crimes.

    “Literally from the first minutes, we were involved,”  says Ari Redbord, the company’s global head of policy, “working with Bybit and law enforcement partners like the FBI to track and trace funds.”

    The attack was soon attributed to a North Korean state-sponsored hacker organization commonly known as Lazarus Group. Lazarus has been blamed for a series of high-profile cybercrimes in recent years, including the 2014 hack on Sony Pictures Entertainment, the 2016 digital heist from the Bangladeshi central bank and, more recently, billions of dollars in digital currency thefts. TRM was among the first to attribute the Bybit attack after detecting an overlap between the blockchain resources used here and those used in Lazarus’s previous thefts. Since then, the company has harnessed its expertise in tracking crypto to keep law enforcement abreast of where the stolen funds are headed, following them from blockchain to blockchain and through clever concealment mechanisms. “We were very much built for an investigation like this,” Redbord says.

    Today, TRM’s investigators probe cryptocurrency thefts, ransomware attacks, and phishing scams. They help investigate other crimes that involve digital currencies, from child pornography to drug trafficking. The company’s free, public platform Chainabuse, launched in 2022, helps people report fraud, hacking, blackmail, and other crypto-related crimes. Clients in the cryptocurrency and finance industries harness the company’s software and data about blockchain transactions to identify funds associated with criminal activity and to flag suspicious transactions. Law enforcement agencies around the world enlist TRM’s tools—and sometimes even the company’s own investigators.

    Demand for such investigators is growing. TRM—which stands for Token Relationship Management—has raised about million in total funding to date, from notable backers that include the venture arms of PayPal, American Express, and Citi, as well as Goldman Sachs. The investment bank led TRM’s most recent, late-stage funding round, which closed in January for an undisclosed amount, according to the research firm PitchBook.

    Meanwhile, the crypto ecosystem is likely to experience positive growth throughout 2025, according to a recent analysis by PitchBook. So too will crypto crimes: Illicit operations took billion worth of crypto last year, according to Chainalysis, another blockchain security company—far more than the roughly billion in venture capital funding that flowed into the above-board crypto sector in the same span, and more even than crypto’s 2022 VC funding peak of billion.

    Roles like TRM’s will become more urgent if the government continues to abdicate its regulatory duties. Last month, the Trump administration shuttered a Justice Department unit that targeted crypto-related crimes. Yet crypto sits at the nexus of so many of the president’s domestic interests—fentanyl, counterterrorism, border security, and fraud. For TRM and rivals like Chainalysis and Elliptic, all of which have already won millions of dollars in federal contracts, the future is bright.

    From NFTs to crypto fraud

    One paradox of Bitcoin, Ethereum, and other cryptocurrency systems is that while they’re widely thought to provide anonymity, with users exchanging funds based not on real names and physical addresses, but on so-called digital addresses—unique and lengthy strings of alphanumeric characters that serve as a given account’s sole identifier—the records of those transactions are still public. A common ledger logs every payment, tying each transaction to those that came before, all the way back to the tokens’ minting.

    And once information becomes known about one transaction and the people or organizations behind the addresses involved, it becomes possible to trace those funds back and forth through time and from address to address. That allows clever observers to follow the money and deduce where funds came from, who other counterparties may be, and which transactions likely involved some of the same parties, like how investigators might piece together who used an anonymous burner phone based on the numbers they called.

    It’s a limitation to anonymity that Bitcoin’s pseudonymous creator Satoshi Nakamoto alluded to in the groundbreaking paper describing cryptocurrency’s underpinnings. And it’s one that computer scientist Sarah Meiklejohn and colleagues at the University of California San Diego showed to be a reality in a widely cited 2013 paper that demonstrated concretely how Bitcoins could be grouped by likely common owner—and how those owners could sometimes be identified from a database of known addresses. And that database, Meiklejohn and colleagues showed, could be assembled by a determined researcher simply doing ordinary business on the blockchain and recording the addresses used by the various vendors, exchanges, and other parties they transact with.

    While not the first company to run with Meiklejohn’s ideas on tracking the transfer of cryptocurrencies—rival Chainalysis, for one, launched in 2014—TRM offered the first-ever platform compatible with the Ethereum blockchain, widely used both for its own currency and assets like non-fungible tokens, or NFTs. At the time, “all of these blockchain intelligence companies had built their entire data architecture on the Bitcoin blockchain,” Redbord says, “because Bitcoin was entirely synonymous with cryptocurrency, and vice versa.”

    TRM began in 2018 as CEO Esteban Castaño and CTO Rahul Raina’s effort to capitalize on NFTs’ trendiness. After demoing an easy-to-use analytics tool they’d built to help understand NFT market movement to a friend with his own blockchain-based startup, Castaño and Raina decided to pivot. Their creation could be its own product with wide appeal—the same blockchains which track NFTs also manage cryptocurrencies—Castaño says that while “nobody had ever gotten excited about any of the other NFT applications we were building,” this was different. Describing their friend and his employees’ reactions, he says, “it was the first time they’d seen on-chain activity visualized in a way they could understand.”

    Talking to potential customers soon revealed a critical use case beyond basic customer analytics: understanding the flow of funds on the blockchain to avoid unwittingly participating in money laundering. A now-pivoted TRM publicly launched in 2019 with a tool it planned to sell to blockchain businesses looking to comply with anti-money-laundering regulations. But a more proactive use case soon arose that suggested even bigger opportunities.

    A friend reached out to say he’d fallen victim to a cryptocurrency hack and wanted to know if TRM could help find the missing money. With the company’s tool, “we could see in clear daylight where the money was,” Castaño says. “So we got in touch with the Secret Service, we got in touch with the FBI, and that was the initial pull into that market.”

    By the time TRM Labs emerged from Y Combinator, in 2019, fighting and preventing fraud and other crime had become its primary focus.

    ‘They’re threat hunters’

    Many TRM senior leaders and investigators honed their expertise over years in law enforcement, working at police agencies across the world. Redbord, the global policy head, served for more than a decade as a U.S. federal prosecutor and spent two years working on money laundering and national security at the Treasury Department before joining the company. Chris Janczewski, head of global investigations, previously served as a special agent at IRS Criminal Investigations, where he was instrumental in recovering cryptocurrency stolen in the infamous 2016 hack on the Bitfinex exchange; in the time between theft and recovery, the digital coins’ value had ballooned to billion, making it the largest federal government seizure in history. The laptop Janczewski used in the investigation is now in the Smithsonian’s permanent collection.

    “They’re threat hunters,” Redbord says of TRM’s investigators. “Our terror financing expert is out there communicating on password-protected Telegram channels with mujahideen, who will send him a crypto address. He’ll take that address and label it terror financing, and then we use AI and machine learning to build on that attribution.”

    With investigators around the globe, the company is able to track illicit funds around the clock. “Things like Bybit, you can’t have just one investigator doing that,” says TRM senior investigator Jonno Newman.

    Being based in Australia, in a time zone close to that of North Korea, made it easy for Newman to help out in the early days of the still-ongoing Bybit investigation. It also helped that he had previously led TRM’s investigation into an earlier hack attributed to North Korea, in 2023, where more than million in cryptocurrency was reported stolen from thousands of blockchain addresses on the digital coin storage tool Atomic Wallet.

    Then, Newman says, the hackers began obfuscating the stolen funds’ origins and ultimate destination, shuffling their plunder between different virtual addresses and cryptocurrencies. They relied on so-called mixers, which hold and combine coins from multiple sources before disbursing them to new addresses, and cross-chain bridges, which let users convert funds from one cryptocurrency to another. Hackers would later use a similar playbook in moving the Bybit funds.

    As a result of TRM’s automated fund tracker across bridges, a service it has offered since 2022—an industry first, CEO Castaño says—investigators were able to closely monitor where the Atomic Wallet funds headed, tipping off law enforcement as needed about opportunities to freeze or seize them. “It was early mornings and late nights trying to keep up with the laundering process.” says Newman of the investigation. The former head of South Australia Police’s cybercrime training and prevention unit and author of a recent children’s book about the crypto world, he says “it becomes this almost cat-and-mouse game about where they are going to go next.”

    TRM’s products at least make the game playable. “When you’re following the money, it used to be that you would reach a dead end when the money went to a different blockchain,” Castaño says. “But with TRM, tracing across blockchains is seamless.”

    Cautious optimism for blockchain security

    Not everyone believes TRM’s tech can fully deliver on its promise, at least from a legal perspective. J.W. Verret, an associate professor at George Mason University’s Antonin Scalia Law School who has testified as an expert witness in crypto-related matters, cautions that most testimony based on blockchain forensics tools should be viewed as potentially fallible, “They are useful for developing leads at the start of an investigation,” he says, but can be overly relied on like “the long history of junk forensic science—handwriting analysis, bitemark analysis, stuff that’s all kind of later proven to be unreliable.” For its part, Verret says, TRM Labs offers tools that are less prone than some of its competitors to false positives because the company is more careful about how it establishes associations between blockchain addresses and criminal activity.

    Meanwhile, last September, TRM announced the creation of the T3 Financial Crime Unit, a partnership with the organizations behind the Tron blockchain and Tether stablecoins to combat the use of those technologies for money laundering. By January, TRM said the partnership had helped freeze more than million in USDT—Tether’s stablecoin pegged in value to the U.S. dollar—found to be tied to criminal activity. That figure has since more than doubled, with the total now including nearly million linked to the massive Bybit heist.

    “In the seven months since launch, T3 has worked with law enforcement to freeze over million linked to illicit activity ranging from terror financing to money laundering to fraud,” Castaño says. “And when you think about how much crime is financially motivated, adding a million expense to criminals’ balance sheet is a huge win for deterring crime.”

    But even as TRM jockeys for pole position in a competitive industry, cybercriminals continue to develop new methods of stealing and hiding funds through complex blockchain machinations, often by taking advantage of crypto efficiency gains that make it easier to move more money faster. That will only continue as criminals deploy AI to automate scams and potentially even money laundering—and investigators use new AI and machine learning techniques, along with ever-growing blockchain datasets, to track them more efficiently and coordinate with law enforcement to stop them and seize their funds.

    And since blockchain ledgers last forever, crypto criminals are risking more than perhaps they realize, according to Castaño. “You’re betting not only that TRM and law enforcement won’t be able to identify your illicit activity today, but that we won’t be able to do it in the future,” he says. “Because the record is permanent.” And that’s the most powerful advantage investigators possess.
    #these #crypto #detectives #helped #crack
    These crypto detectives helped crack North Korea’s latest $1.5 billion blockchain heist
    Crypto criminals can’t hide The single largest cryptocurrency heist in history took place one day in late February, when hackers exploited system vulnerabilities in Bybit, a Dubai-based crypto exchange, siphoning off a whopping billion in digital assets within minutes. Bybit’s security team immediately launched an investigation that would eventually involve the FBI and several blockchain intelligence companies. Among those involved from the beginning were the experts at TRM Labs, a San Francisco-based company of around 300 that analyzes the blockchain networks which power cryptocurrency transactions to investigate—and prevent—fraud and financial crimes. “Literally from the first minutes, we were involved,”  says Ari Redbord, the company’s global head of policy, “working with Bybit and law enforcement partners like the FBI to track and trace funds.” The attack was soon attributed to a North Korean state-sponsored hacker organization commonly known as Lazarus Group. Lazarus has been blamed for a series of high-profile cybercrimes in recent years, including the 2014 hack on Sony Pictures Entertainment, the 2016 digital heist from the Bangladeshi central bank and, more recently, billions of dollars in digital currency thefts. TRM was among the first to attribute the Bybit attack after detecting an overlap between the blockchain resources used here and those used in Lazarus’s previous thefts. Since then, the company has harnessed its expertise in tracking crypto to keep law enforcement abreast of where the stolen funds are headed, following them from blockchain to blockchain and through clever concealment mechanisms. “We were very much built for an investigation like this,” Redbord says. Today, TRM’s investigators probe cryptocurrency thefts, ransomware attacks, and phishing scams. They help investigate other crimes that involve digital currencies, from child pornography to drug trafficking. The company’s free, public platform Chainabuse, launched in 2022, helps people report fraud, hacking, blackmail, and other crypto-related crimes. Clients in the cryptocurrency and finance industries harness the company’s software and data about blockchain transactions to identify funds associated with criminal activity and to flag suspicious transactions. Law enforcement agencies around the world enlist TRM’s tools—and sometimes even the company’s own investigators. Demand for such investigators is growing. TRM—which stands for Token Relationship Management—has raised about million in total funding to date, from notable backers that include the venture arms of PayPal, American Express, and Citi, as well as Goldman Sachs. The investment bank led TRM’s most recent, late-stage funding round, which closed in January for an undisclosed amount, according to the research firm PitchBook. Meanwhile, the crypto ecosystem is likely to experience positive growth throughout 2025, according to a recent analysis by PitchBook. So too will crypto crimes: Illicit operations took billion worth of crypto last year, according to Chainalysis, another blockchain security company—far more than the roughly billion in venture capital funding that flowed into the above-board crypto sector in the same span, and more even than crypto’s 2022 VC funding peak of billion. Roles like TRM’s will become more urgent if the government continues to abdicate its regulatory duties. Last month, the Trump administration shuttered a Justice Department unit that targeted crypto-related crimes. Yet crypto sits at the nexus of so many of the president’s domestic interests—fentanyl, counterterrorism, border security, and fraud. For TRM and rivals like Chainalysis and Elliptic, all of which have already won millions of dollars in federal contracts, the future is bright. From NFTs to crypto fraud One paradox of Bitcoin, Ethereum, and other cryptocurrency systems is that while they’re widely thought to provide anonymity, with users exchanging funds based not on real names and physical addresses, but on so-called digital addresses—unique and lengthy strings of alphanumeric characters that serve as a given account’s sole identifier—the records of those transactions are still public. A common ledger logs every payment, tying each transaction to those that came before, all the way back to the tokens’ minting. And once information becomes known about one transaction and the people or organizations behind the addresses involved, it becomes possible to trace those funds back and forth through time and from address to address. That allows clever observers to follow the money and deduce where funds came from, who other counterparties may be, and which transactions likely involved some of the same parties, like how investigators might piece together who used an anonymous burner phone based on the numbers they called. It’s a limitation to anonymity that Bitcoin’s pseudonymous creator Satoshi Nakamoto alluded to in the groundbreaking paper describing cryptocurrency’s underpinnings. And it’s one that computer scientist Sarah Meiklejohn and colleagues at the University of California San Diego showed to be a reality in a widely cited 2013 paper that demonstrated concretely how Bitcoins could be grouped by likely common owner—and how those owners could sometimes be identified from a database of known addresses. And that database, Meiklejohn and colleagues showed, could be assembled by a determined researcher simply doing ordinary business on the blockchain and recording the addresses used by the various vendors, exchanges, and other parties they transact with. While not the first company to run with Meiklejohn’s ideas on tracking the transfer of cryptocurrencies—rival Chainalysis, for one, launched in 2014—TRM offered the first-ever platform compatible with the Ethereum blockchain, widely used both for its own currency and assets like non-fungible tokens, or NFTs. At the time, “all of these blockchain intelligence companies had built their entire data architecture on the Bitcoin blockchain,” Redbord says, “because Bitcoin was entirely synonymous with cryptocurrency, and vice versa.” TRM began in 2018 as CEO Esteban Castaño and CTO Rahul Raina’s effort to capitalize on NFTs’ trendiness. After demoing an easy-to-use analytics tool they’d built to help understand NFT market movement to a friend with his own blockchain-based startup, Castaño and Raina decided to pivot. Their creation could be its own product with wide appeal—the same blockchains which track NFTs also manage cryptocurrencies—Castaño says that while “nobody had ever gotten excited about any of the other NFT applications we were building,” this was different. Describing their friend and his employees’ reactions, he says, “it was the first time they’d seen on-chain activity visualized in a way they could understand.” Talking to potential customers soon revealed a critical use case beyond basic customer analytics: understanding the flow of funds on the blockchain to avoid unwittingly participating in money laundering. A now-pivoted TRM publicly launched in 2019 with a tool it planned to sell to blockchain businesses looking to comply with anti-money-laundering regulations. But a more proactive use case soon arose that suggested even bigger opportunities. A friend reached out to say he’d fallen victim to a cryptocurrency hack and wanted to know if TRM could help find the missing money. With the company’s tool, “we could see in clear daylight where the money was,” Castaño says. “So we got in touch with the Secret Service, we got in touch with the FBI, and that was the initial pull into that market.” By the time TRM Labs emerged from Y Combinator, in 2019, fighting and preventing fraud and other crime had become its primary focus. ‘They’re threat hunters’ Many TRM senior leaders and investigators honed their expertise over years in law enforcement, working at police agencies across the world. Redbord, the global policy head, served for more than a decade as a U.S. federal prosecutor and spent two years working on money laundering and national security at the Treasury Department before joining the company. Chris Janczewski, head of global investigations, previously served as a special agent at IRS Criminal Investigations, where he was instrumental in recovering cryptocurrency stolen in the infamous 2016 hack on the Bitfinex exchange; in the time between theft and recovery, the digital coins’ value had ballooned to billion, making it the largest federal government seizure in history. The laptop Janczewski used in the investigation is now in the Smithsonian’s permanent collection. “They’re threat hunters,” Redbord says of TRM’s investigators. “Our terror financing expert is out there communicating on password-protected Telegram channels with mujahideen, who will send him a crypto address. He’ll take that address and label it terror financing, and then we use AI and machine learning to build on that attribution.” With investigators around the globe, the company is able to track illicit funds around the clock. “Things like Bybit, you can’t have just one investigator doing that,” says TRM senior investigator Jonno Newman. Being based in Australia, in a time zone close to that of North Korea, made it easy for Newman to help out in the early days of the still-ongoing Bybit investigation. It also helped that he had previously led TRM’s investigation into an earlier hack attributed to North Korea, in 2023, where more than million in cryptocurrency was reported stolen from thousands of blockchain addresses on the digital coin storage tool Atomic Wallet. Then, Newman says, the hackers began obfuscating the stolen funds’ origins and ultimate destination, shuffling their plunder between different virtual addresses and cryptocurrencies. They relied on so-called mixers, which hold and combine coins from multiple sources before disbursing them to new addresses, and cross-chain bridges, which let users convert funds from one cryptocurrency to another. Hackers would later use a similar playbook in moving the Bybit funds. As a result of TRM’s automated fund tracker across bridges, a service it has offered since 2022—an industry first, CEO Castaño says—investigators were able to closely monitor where the Atomic Wallet funds headed, tipping off law enforcement as needed about opportunities to freeze or seize them. “It was early mornings and late nights trying to keep up with the laundering process.” says Newman of the investigation. The former head of South Australia Police’s cybercrime training and prevention unit and author of a recent children’s book about the crypto world, he says “it becomes this almost cat-and-mouse game about where they are going to go next.” TRM’s products at least make the game playable. “When you’re following the money, it used to be that you would reach a dead end when the money went to a different blockchain,” Castaño says. “But with TRM, tracing across blockchains is seamless.” Cautious optimism for blockchain security Not everyone believes TRM’s tech can fully deliver on its promise, at least from a legal perspective. J.W. Verret, an associate professor at George Mason University’s Antonin Scalia Law School who has testified as an expert witness in crypto-related matters, cautions that most testimony based on blockchain forensics tools should be viewed as potentially fallible, “They are useful for developing leads at the start of an investigation,” he says, but can be overly relied on like “the long history of junk forensic science—handwriting analysis, bitemark analysis, stuff that’s all kind of later proven to be unreliable.” For its part, Verret says, TRM Labs offers tools that are less prone than some of its competitors to false positives because the company is more careful about how it establishes associations between blockchain addresses and criminal activity. Meanwhile, last September, TRM announced the creation of the T3 Financial Crime Unit, a partnership with the organizations behind the Tron blockchain and Tether stablecoins to combat the use of those technologies for money laundering. By January, TRM said the partnership had helped freeze more than million in USDT—Tether’s stablecoin pegged in value to the U.S. dollar—found to be tied to criminal activity. That figure has since more than doubled, with the total now including nearly million linked to the massive Bybit heist. “In the seven months since launch, T3 has worked with law enforcement to freeze over million linked to illicit activity ranging from terror financing to money laundering to fraud,” Castaño says. “And when you think about how much crime is financially motivated, adding a million expense to criminals’ balance sheet is a huge win for deterring crime.” But even as TRM jockeys for pole position in a competitive industry, cybercriminals continue to develop new methods of stealing and hiding funds through complex blockchain machinations, often by taking advantage of crypto efficiency gains that make it easier to move more money faster. That will only continue as criminals deploy AI to automate scams and potentially even money laundering—and investigators use new AI and machine learning techniques, along with ever-growing blockchain datasets, to track them more efficiently and coordinate with law enforcement to stop them and seize their funds. And since blockchain ledgers last forever, crypto criminals are risking more than perhaps they realize, according to Castaño. “You’re betting not only that TRM and law enforcement won’t be able to identify your illicit activity today, but that we won’t be able to do it in the future,” he says. “Because the record is permanent.” And that’s the most powerful advantage investigators possess. #these #crypto #detectives #helped #crack
    WWW.FASTCOMPANY.COM
    These crypto detectives helped crack North Korea’s latest $1.5 billion blockchain heist
    Crypto criminals can’t hide The single largest cryptocurrency heist in history took place one day in late February, when hackers exploited system vulnerabilities in Bybit, a Dubai-based crypto exchange, siphoning off a whopping $1.5 billion in digital assets within minutes. Bybit’s security team immediately launched an investigation that would eventually involve the FBI and several blockchain intelligence companies. Among those involved from the beginning were the experts at TRM Labs, a San Francisco-based company of around 300 that analyzes the blockchain networks which power cryptocurrency transactions to investigate—and prevent—fraud and financial crimes. “Literally from the first minutes, we were involved,”  says Ari Redbord, the company’s global head of policy, “working with Bybit and law enforcement partners like the FBI to track and trace funds.” The attack was soon attributed to a North Korean state-sponsored hacker organization commonly known as Lazarus Group. Lazarus has been blamed for a series of high-profile cybercrimes in recent years, including the 2014 hack on Sony Pictures Entertainment, the 2016 digital heist from the Bangladeshi central bank and, more recently, billions of dollars in digital currency thefts. TRM was among the first to attribute the Bybit attack after detecting an overlap between the blockchain resources used here and those used in Lazarus’s previous thefts. Since then, the company has harnessed its expertise in tracking crypto to keep law enforcement abreast of where the stolen funds are headed, following them from blockchain to blockchain and through clever concealment mechanisms. “We were very much built for an investigation like this,” Redbord says. Today, TRM’s investigators probe cryptocurrency thefts, ransomware attacks, and phishing scams. They help investigate other crimes that involve digital currencies, from child pornography to drug trafficking. The company’s free, public platform Chainabuse, launched in 2022, helps people report fraud, hacking, blackmail, and other crypto-related crimes. Clients in the cryptocurrency and finance industries harness the company’s software and data about blockchain transactions to identify funds associated with criminal activity and to flag suspicious transactions. Law enforcement agencies around the world enlist TRM’s tools—and sometimes even the company’s own investigators. Demand for such investigators is growing. TRM—which stands for Token Relationship Management—has raised about $150 million in total funding to date, from notable backers that include the venture arms of PayPal, American Express, and Citi, as well as Goldman Sachs. The investment bank led TRM’s most recent, late-stage funding round, which closed in January for an undisclosed amount, according to the research firm PitchBook. Meanwhile, the crypto ecosystem is likely to experience positive growth throughout 2025, according to a recent analysis by PitchBook. So too will crypto crimes: Illicit operations took $40 billion worth of crypto last year, according to Chainalysis, another blockchain security company—far more than the roughly $10 billion in venture capital funding that flowed into the above-board crypto sector in the same span, and more even than crypto’s 2022 VC funding peak of $29.8 billion. Roles like TRM’s will become more urgent if the government continues to abdicate its regulatory duties. Last month, the Trump administration shuttered a Justice Department unit that targeted crypto-related crimes. Yet crypto sits at the nexus of so many of the president’s domestic interests—fentanyl, counterterrorism, border security, and fraud. For TRM and rivals like Chainalysis and Elliptic, all of which have already won millions of dollars in federal contracts, the future is bright. From NFTs to crypto fraud One paradox of Bitcoin, Ethereum, and other cryptocurrency systems is that while they’re widely thought to provide anonymity, with users exchanging funds based not on real names and physical addresses, but on so-called digital addresses—unique and lengthy strings of alphanumeric characters that serve as a given account’s sole identifier—the records of those transactions are still public. A common ledger logs every payment, tying each transaction to those that came before, all the way back to the tokens’ minting. And once information becomes known about one transaction and the people or organizations behind the addresses involved, it becomes possible to trace those funds back and forth through time and from address to address. That allows clever observers to follow the money and deduce where funds came from, who other counterparties may be, and which transactions likely involved some of the same parties, like how investigators might piece together who used an anonymous burner phone based on the numbers they called. It’s a limitation to anonymity that Bitcoin’s pseudonymous creator Satoshi Nakamoto alluded to in the groundbreaking paper describing cryptocurrency’s underpinnings. And it’s one that computer scientist Sarah Meiklejohn and colleagues at the University of California San Diego showed to be a reality in a widely cited 2013 paper that demonstrated concretely how Bitcoins could be grouped by likely common owner—and how those owners could sometimes be identified from a database of known addresses. And that database, Meiklejohn and colleagues showed, could be assembled by a determined researcher simply doing ordinary business on the blockchain and recording the addresses used by the various vendors, exchanges, and other parties they transact with. While not the first company to run with Meiklejohn’s ideas on tracking the transfer of cryptocurrencies—rival Chainalysis, for one, launched in 2014—TRM offered the first-ever platform compatible with the Ethereum blockchain, widely used both for its own currency and assets like non-fungible tokens, or NFTs. At the time, “all of these blockchain intelligence companies had built their entire data architecture on the Bitcoin blockchain,” Redbord says, “because Bitcoin was entirely synonymous with cryptocurrency, and vice versa.” TRM began in 2018 as CEO Esteban Castaño and CTO Rahul Raina’s effort to capitalize on NFTs’ trendiness. After demoing an easy-to-use analytics tool they’d built to help understand NFT market movement to a friend with his own blockchain-based startup, Castaño and Raina decided to pivot. Their creation could be its own product with wide appeal—the same blockchains which track NFTs also manage cryptocurrencies—Castaño says that while “nobody had ever gotten excited about any of the other NFT applications we were building,” this was different. Describing their friend and his employees’ reactions, he says, “it was the first time they’d seen on-chain activity visualized in a way they could understand.” Talking to potential customers soon revealed a critical use case beyond basic customer analytics: understanding the flow of funds on the blockchain to avoid unwittingly participating in money laundering. A now-pivoted TRM publicly launched in 2019 with a tool it planned to sell to blockchain businesses looking to comply with anti-money-laundering regulations. But a more proactive use case soon arose that suggested even bigger opportunities. A friend reached out to say he’d fallen victim to a cryptocurrency hack and wanted to know if TRM could help find the missing money. With the company’s tool, “we could see in clear daylight where the money was,” Castaño says. “So we got in touch with the Secret Service, we got in touch with the FBI, and that was the initial pull into that market.” By the time TRM Labs emerged from Y Combinator, in 2019, fighting and preventing fraud and other crime had become its primary focus. ‘They’re threat hunters’ Many TRM senior leaders and investigators honed their expertise over years in law enforcement, working at police agencies across the world. Redbord, the global policy head, served for more than a decade as a U.S. federal prosecutor and spent two years working on money laundering and national security at the Treasury Department before joining the company. Chris Janczewski, head of global investigations, previously served as a special agent at IRS Criminal Investigations, where he was instrumental in recovering cryptocurrency stolen in the infamous 2016 hack on the Bitfinex exchange; in the time between theft and recovery, the digital coins’ value had ballooned to $3.6 billion, making it the largest federal government seizure in history. The laptop Janczewski used in the investigation is now in the Smithsonian’s permanent collection. “They’re threat hunters,” Redbord says of TRM’s investigators. “Our terror financing expert is out there communicating on password-protected Telegram channels with mujahideen, who will send him a crypto address. He’ll take that address and label it terror financing, and then we use AI and machine learning to build on that attribution.” With investigators around the globe, the company is able to track illicit funds around the clock. “Things like Bybit, you can’t have just one investigator doing that,” says TRM senior investigator Jonno Newman. Being based in Australia, in a time zone close to that of North Korea, made it easy for Newman to help out in the early days of the still-ongoing Bybit investigation. It also helped that he had previously led TRM’s investigation into an earlier hack attributed to North Korea, in 2023, where more than $100 million in cryptocurrency was reported stolen from thousands of blockchain addresses on the digital coin storage tool Atomic Wallet. Then, Newman says, the hackers began obfuscating the stolen funds’ origins and ultimate destination, shuffling their plunder between different virtual addresses and cryptocurrencies. They relied on so-called mixers, which hold and combine coins from multiple sources before disbursing them to new addresses, and cross-chain bridges, which let users convert funds from one cryptocurrency to another. Hackers would later use a similar playbook in moving the Bybit funds. As a result of TRM’s automated fund tracker across bridges, a service it has offered since 2022—an industry first, CEO Castaño says—investigators were able to closely monitor where the Atomic Wallet funds headed, tipping off law enforcement as needed about opportunities to freeze or seize them. “It was early mornings and late nights trying to keep up with the laundering process.” says Newman of the investigation. The former head of South Australia Police’s cybercrime training and prevention unit and author of a recent children’s book about the crypto world, he says “it becomes this almost cat-and-mouse game about where they are going to go next.” TRM’s products at least make the game playable. “When you’re following the money, it used to be that you would reach a dead end when the money went to a different blockchain,” Castaño says. “But with TRM, tracing across blockchains is seamless.” Cautious optimism for blockchain security Not everyone believes TRM’s tech can fully deliver on its promise, at least from a legal perspective. J.W. Verret, an associate professor at George Mason University’s Antonin Scalia Law School who has testified as an expert witness in crypto-related matters, cautions that most testimony based on blockchain forensics tools should be viewed as potentially fallible, “They are useful for developing leads at the start of an investigation,” he says, but can be overly relied on like “the long history of junk forensic science—handwriting analysis, bitemark analysis, stuff that’s all kind of later proven to be unreliable.” For its part, Verret says, TRM Labs offers tools that are less prone than some of its competitors to false positives because the company is more careful about how it establishes associations between blockchain addresses and criminal activity. Meanwhile, last September, TRM announced the creation of the T3 Financial Crime Unit, a partnership with the organizations behind the Tron blockchain and Tether stablecoins to combat the use of those technologies for money laundering. By January, TRM said the partnership had helped freeze more than $100 million in USDT—Tether’s stablecoin pegged in value to the U.S. dollar—found to be tied to criminal activity. That figure has since more than doubled, with the total now including nearly $9 million linked to the massive Bybit heist. “In the seven months since launch, T3 has worked with law enforcement to freeze over $200 million linked to illicit activity ranging from terror financing to money laundering to fraud,” Castaño says. “And when you think about how much crime is financially motivated, adding a $200 million expense to criminals’ balance sheet is a huge win for deterring crime.” But even as TRM jockeys for pole position in a competitive industry, cybercriminals continue to develop new methods of stealing and hiding funds through complex blockchain machinations, often by taking advantage of crypto efficiency gains that make it easier to move more money faster. That will only continue as criminals deploy AI to automate scams and potentially even money laundering—and investigators use new AI and machine learning techniques, along with ever-growing blockchain datasets, to track them more efficiently and coordinate with law enforcement to stop them and seize their funds. And since blockchain ledgers last forever, crypto criminals are risking more than perhaps they realize, according to Castaño. “You’re betting not only that TRM and law enforcement won’t be able to identify your illicit activity today, but that we won’t be able to do it in the future,” he says. “Because the record is permanent.” And that’s the most powerful advantage investigators possess.
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  • What Are The 4 Phases of Doge Uprising Roadmap?

    Posted on : May 27, 2025

    By

    Tech World Times

    Business 

    Rate this post

    Doge Uprising is often abbreviated as $DUP. It is an ecosystem of cryptocurrency that amalgamates engagement of digital experience, storytelling in one go, blockchain technology, and meme culture.
    This is set in a dystopian future. The project takes into consideration a rebellion against centralized control. This is where blockchain-powered robotic warriors also called Doge Mechas are powered by the $DUP token.
    Like a utility token, $DUP facilitates NFT-based missions, decentralized finance features, and staking rewards. Whereas, the community actively shapes the evolution of the project.
    How Is Doge Uprising Roadmap Shaping The Future?
    The Doge Uprising project has laid out a four-stage plan that’s all about growing in a smart way, making the whole ecosystem bigger, and keeping the community involved for the long haul. Each stage sets the groundwork for the next, gradually adding more features, boosting the fun in the games, and making the project a bigger deal in the metaverse.
    Phase 1: Genesis
    We’re starting this adventure by building a solid, community-focused ecosystem from the ground up. Here are some of the big steps we’ll be taking:

    We’ll kick things off by launching the official Doge Uprising website and setting up our social media channels.
    Next, we’ll start the presale of the $DUP token for our early supporters.
    To make sure everything is safe and sound, we’ll have a smart contract audit done.

    ·       We’ll also be launching some community involvement programs, all to make sure everyone has a say in how things are run in a truly decentralized way.
    Phase 2: Uprising
    This phase represents Doge Uprising’s official venture into the decentralized finance sector, emphasizing liquidity, NFT integration, and ecosystem usability. Key developments encompass:

    Listing the $DUP token on Uniswap, enhancing liquidity and accessibility
    Fortifying the ecosystem through essential liquidity pairings
    Introducing Doge Mecha NFTs, enabling holders to engage with the expanding Doge Uprising universe
    Implementing influencer-driven marketing campaigns to boost the brand’s global prominence

    Phase 3: The Uprising Expands
    During this critical phase, the focus focuses on the Dogi rebellion on long-term stability and community engagement. Large milestones include:

    Deployment of a strike platform, which lets token holders earn passive income and prices
    Releasing Dog Rebel Manga Chain to increase the history and user experience of the project
    Extension of the NFT tool, potentially Play-to-Eunintegrated into gaming or meta-paver projects
    Inauguration of a special goods shop, strengthens the social identity

    Phase 4: Resurrection – The Evolution of Doge Uprising
    The final phase enforces long-term expansion and integration of the dowi into the wider crypto ecosystem. The highlights include:

    Launch of games and interactive items for NFT holders
    Defi Equipment Development that strengthens users with decentralized financial opportunities
    Improvement of the couple’s control
    Strategic partners

    A Vision for the Future
     It is a developed digital revolution, a combination of entertainment, NFT, and decentralized technologies in a compelling ecosystem.
    A well-structured roadmap, with a dedicated society and continuous innovation, aims to disrupt the traditional economic system by providing an interactive and attractive experience for users.
    As the project continues through each stage, it will introduce new features, strengthen its defi foundations, and increase the role of storytelling in blockchain technology.
    With strong participation in society and strategic development plans, Dogi Rebellion adheres to a prominent player in the crypto landscape.
    Tech World TimesTech World Times, a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com
    #what #are #phases #doge #uprising
    What Are The 4 Phases of Doge Uprising Roadmap?
    Posted on : May 27, 2025 By Tech World Times Business  Rate this post Doge Uprising is often abbreviated as $DUP. It is an ecosystem of cryptocurrency that amalgamates engagement of digital experience, storytelling in one go, blockchain technology, and meme culture. This is set in a dystopian future. The project takes into consideration a rebellion against centralized control. This is where blockchain-powered robotic warriors also called Doge Mechas are powered by the $DUP token. Like a utility token, $DUP facilitates NFT-based missions, decentralized finance features, and staking rewards. Whereas, the community actively shapes the evolution of the project. How Is Doge Uprising Roadmap Shaping The Future? The Doge Uprising project has laid out a four-stage plan that’s all about growing in a smart way, making the whole ecosystem bigger, and keeping the community involved for the long haul. Each stage sets the groundwork for the next, gradually adding more features, boosting the fun in the games, and making the project a bigger deal in the metaverse. Phase 1: Genesis We’re starting this adventure by building a solid, community-focused ecosystem from the ground up. Here are some of the big steps we’ll be taking: We’ll kick things off by launching the official Doge Uprising website and setting up our social media channels. Next, we’ll start the presale of the $DUP token for our early supporters. To make sure everything is safe and sound, we’ll have a smart contract audit done. ·       We’ll also be launching some community involvement programs, all to make sure everyone has a say in how things are run in a truly decentralized way. Phase 2: Uprising This phase represents Doge Uprising’s official venture into the decentralized finance sector, emphasizing liquidity, NFT integration, and ecosystem usability. Key developments encompass: Listing the $DUP token on Uniswap, enhancing liquidity and accessibility Fortifying the ecosystem through essential liquidity pairings Introducing Doge Mecha NFTs, enabling holders to engage with the expanding Doge Uprising universe Implementing influencer-driven marketing campaigns to boost the brand’s global prominence Phase 3: The Uprising Expands During this critical phase, the focus focuses on the Dogi rebellion on long-term stability and community engagement. Large milestones include: Deployment of a strike platform, which lets token holders earn passive income and prices Releasing Dog Rebel Manga Chain to increase the history and user experience of the project Extension of the NFT tool, potentially Play-to-Eunintegrated into gaming or meta-paver projects Inauguration of a special goods shop, strengthens the social identity Phase 4: Resurrection – The Evolution of Doge Uprising The final phase enforces long-term expansion and integration of the dowi into the wider crypto ecosystem. The highlights include: Launch of games and interactive items for NFT holders Defi Equipment Development that strengthens users with decentralized financial opportunities Improvement of the couple’s control Strategic partners A Vision for the Future  It is a developed digital revolution, a combination of entertainment, NFT, and decentralized technologies in a compelling ecosystem. A well-structured roadmap, with a dedicated society and continuous innovation, aims to disrupt the traditional economic system by providing an interactive and attractive experience for users. As the project continues through each stage, it will introduce new features, strengthen its defi foundations, and increase the role of storytelling in blockchain technology. With strong participation in society and strategic development plans, Dogi Rebellion adheres to a prominent player in the crypto landscape. Tech World TimesTech World Times, a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com #what #are #phases #doge #uprising
    TECHWORLDTIMES.COM
    What Are The 4 Phases of Doge Uprising Roadmap?
    Posted on : May 27, 2025 By Tech World Times Business  Rate this post Doge Uprising is often abbreviated as $DUP. It is an ecosystem of cryptocurrency that amalgamates engagement of digital experience, storytelling in one go, blockchain technology, and meme culture. This is set in a dystopian future. The project takes into consideration a rebellion against centralized control. This is where blockchain-powered robotic warriors also called Doge Mechas are powered by the $DUP token. Like a utility token, $DUP facilitates NFT-based missions, decentralized finance features, and staking rewards. Whereas, the community actively shapes the evolution of the project. How Is Doge Uprising Roadmap Shaping The Future? The Doge Uprising project has laid out a four-stage plan that’s all about growing in a smart way, making the whole ecosystem bigger, and keeping the community involved for the long haul. Each stage sets the groundwork for the next, gradually adding more features, boosting the fun in the games, and making the project a bigger deal in the metaverse. Phase 1: Genesis We’re starting this adventure by building a solid, community-focused ecosystem from the ground up. Here are some of the big steps we’ll be taking: We’ll kick things off by launching the official Doge Uprising website and setting up our social media channels. Next, we’ll start the presale of the $DUP token for our early supporters. To make sure everything is safe and sound, we’ll have a smart contract audit done. ·       We’ll also be launching some community involvement programs, all to make sure everyone has a say in how things are run in a truly decentralized way. Phase 2: Uprising This phase represents Doge Uprising’s official venture into the decentralized finance sector, emphasizing liquidity, NFT integration, and ecosystem usability. Key developments encompass: Listing the $DUP token on Uniswap, enhancing liquidity and accessibility Fortifying the ecosystem through essential liquidity pairings Introducing Doge Mecha NFTs, enabling holders to engage with the expanding Doge Uprising universe Implementing influencer-driven marketing campaigns to boost the brand’s global prominence Phase 3: The Uprising Expands During this critical phase, the focus focuses on the Dogi rebellion on long-term stability and community engagement. Large milestones include: Deployment of a strike platform, which lets token holders earn passive income and prices Releasing Dog Rebel Manga Chain to increase the history and user experience of the project Extension of the NFT tool, potentially Play-to-Eun (P2E) integrated into gaming or meta-paver projects Inauguration of a special goods shop, strengthens the social identity Phase 4: Resurrection – The Evolution of Doge Uprising The final phase enforces long-term expansion and integration of the dowi into the wider crypto ecosystem. The highlights include: Launch of games and interactive items for NFT holders Defi Equipment Development that strengthens users with decentralized financial opportunities Improvement of the couple’s control Strategic partners A Vision for the Future  It is a developed digital revolution, a combination of entertainment, NFT, and decentralized technologies in a compelling ecosystem. A well-structured roadmap, with a dedicated society and continuous innovation, aims to disrupt the traditional economic system by providing an interactive and attractive experience for users. As the project continues through each stage, it will introduce new features, strengthen its defi foundations, and increase the role of storytelling in blockchain technology. With strong participation in society and strategic development plans, Dogi Rebellion adheres to a prominent player in the crypto landscape. Tech World TimesTech World Times (TWT), a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com
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