Setup your entire back office in one place with 10x better workflows using AI. Banking, Cards, Bill Payments, Bookkeeping, Tax, HR, Payroll, and Benefits. www.every.io

Every

The TechBeat: Everything You Need to Know About the Lumoz Token Generation Event (12/18/2024)

Table of Links Abstract and 1. Introduction 2 Related Work 3 Preliminaries 4 Method 4.1 Key Sample and Joint Editing 4.2 Edit Propagation Via TokenFlow 5 Results 5.1 Qualitative Evaluation and 5.2 Quantitative Evaluation 5.3 Ablation Study 6 Discussion 7 Acknowledgement and References A Implementation Details A IMPLEMENTATION DETAILS StableDiffusion. We use Stable Diffusion as our pre-trained text-to-image model; we use the StableDiffusion-v-2-1 checkpoint provided via official HuggingFace webpage. DDIM inversion. In all of our experiments, we use DDIM deterministic sampling with 50 steps. For inverting the video, we follow Tumanyan et al. (2023) and use DDIM inversion with classifierfree guidance scale of 1 and 1000 forward steps; and extract the self-attention input tokens from this process similarly to Qi et al. (2023). Runtime. Since we don’t compute the attention module on most video frames (i.e., we only compute the self-attention output on the keyframes) our method is efficient in run-time, and the sampling of the video reduces the time of per-frame editing by 20%. The inversion process with 1000 steps is the main bottleneck of our method in terms of run-time, and in many cases a significantly smaller amount of steps is suffieicent (e.g. 50). Table 3 reports runtime comparisons using 50 steps in all methods. Notably, our sampling time is indeed faster than that of per-frame editing (PnP). Baselines. For running the baseline of Tune-a-video (Wu et al., 2022) we used their official repository. For Gen-1 (Esser et al., 2023) we used their platform on Runaway website. This platform outputs a video that is not in the same length and frame-rate as the input video; therefore, we could not compute the warping error on their results. For text-to-video-zero (Khachatryan et al., 2023b) we used their official repository, with their depth conditioning configuration. For Fate-Zero (Qi et al., 2023) with used their official repository, and verified the run configurations with the authors. This paper is available on arxiv under CC BY 4.0 DEED DEED license. Authors:
(1) Michal Geyer, Weizmann Institute of Science and Indicates equal contribution;
(2) Omer Bar-Tal, Weizmann Institute of Science and Indicates equal contribution;
(3) Shai Bagon, Weizmann Institute of Science;
(4) Tali Dekel, Weizmann Institute of Science. Table of Links Abstract and 1. Introduction Abstract and 1. Introduction 2 Related Work 2 Related Work 3 Preliminaries 3 Preliminaries 4 Method 4 Method 4.1 Key Sample and Joint Editing 4.1 Key Sample and Joint Editing 4.2 Edit Propagation Via TokenFlow 4.2 Edit Propagation Via TokenFlow 5 Results 5 Results 5.1 Qualitative Evaluation and 5.2 Quantitative Evaluation 5.1 Qualitative Evaluation and 5.2 Quantitative Evaluation 5.3 Ablation Study 5.3 Ablation Study 6 Discussion 6 Discussion 7 Acknowledgement and References 7 Acknowledgement and References A Implementation Details A Implementation Details A IMPLEMENTATION DETAILS StableDiffusion. We use Stable Diffusion as our pre-trained text-to-image model; we use the StableDiffusion-v-2-1 checkpoint provided via official HuggingFace webpage. StableDiffusion. DDIM inversion. In all of our experiments, we use DDIM deterministic sampling with 50 steps. For inverting the video, we follow Tumanyan et al. (2023) and use DDIM inversion with classifierfree guidance scale of 1 and 1000 forward steps; and extract the self-attention input tokens from this process similarly to Qi et al. (2023). DDIM inversion. Runtime. Since we don’t compute the attention module on most video frames (i.e., we only compute the self-attention output on the keyframes) our method is efficient in run-time, and the sampling of the video reduces the time of per-frame editing by 20%. The inversion process with 1000 steps is the main bottleneck of our method in terms of run-time, and in many cases a significantly smaller amount of steps is suffieicent (e.g. 50). Table 3 reports runtime comparisons using 50 steps in all methods. Notably, our sampling time is indeed faster than that of per-frame editing (PnP). Runtime. Baselines. For running the baseline of Tune-a-video (Wu et al., 2022) we used their official repository. For Gen-1 (Esser et al., 2023) we used their platform on Runaway website. This platform outputs a video that is not in the same length and frame-rate as the input video; therefore, we could not compute the warping error on their results. For text-to-video-zero (Khachatryan et al., 2023b) we used their official repository, with their depth conditioning configuration. For Fate-Zero (Qi et al., 2023) with used their official repository, and verified the run configurations with the authors. Baselines. This paper is available on arxiv under CC BY 4.0 DEED DEED license. This paper is available on arxiv under CC BY 4.0 DEED DEED license. available on arxiv Authors: (1) Michal Geyer, Weizmann Institute of Science and Indicates equal contribution; (2) Omer Bar-Tal, Weizmann Institute of Science and Indicates equal contribution; (3) Shai Bagon, Weizmann Institute of Science; (4) Tali Dekel, Weizmann Institute of Science. Authors: Authors: (1) Michal Geyer, Weizmann Institute of Science and Indicates equal contribution; (2) Omer Bar-Tal, Weizmann Institute of Science and Indicates equal contribution; (3) Shai Bagon, Weizmann Institute of Science; (4) Tali Dekel, Weizmann Institute of Science.

TokenFlow's Implementation Details: Everything That We Used

The TechBeat: Everything You Need to Know About the Lumoz Token Generation Event (12/16/2024)

Everything Apache Iceberg-Related Announced This Year

Authors:
(1) An Yan, UC San Diego, ayan@ucsd.edu;
(2) Zhengyuan Yang, Microsoft Corporation, zhengyang@microsoft.com with equal contributions;
(3) Wanrong Zhu, UC Santa Barbara, wanrongzhu@ucsb.edu;
(4) Kevin Lin, Microsoft Corporation, keli@microsoft.com;
(5) Linjie Li, Microsoft Corporation, lindsey.li@mocrosoft.com;
(6) Jianfeng Wang, Microsoft Corporation, jianfw@mocrosoft.com;
(7) Jianwei Yang, Microsoft Corporation, jianwei.yang@mocrosoft.com;
(8) Yiwu Zhong, University of Wisconsin-Madison, yzhong52@wisc.edu;
(9) Julian McAuley, UC San Diego, jmcauley@ucsd.edu;
(10) Jianfeng Gao, Microsoft Corporation, jfgao@mocrosoft.com;
(11) Zicheng Liu, Microsoft Corporation, zliu@mocrosoft.com;
(12) Lijuan Wang, Microsoft Corporation, lijuanw@mocrosoft.com. Editor’s note: This is the part 6 of 13 of a paper evaluating the use of a generative AI to navigate smartphones. You can read the rest of the paper via the table of links below. Table of Links Abstract and 1 Introduction
2 Related Work
3 MM-Navigator
3.1 Problem Formulation and 3.2 Screen Grounding and Navigation via Set of Mark
3.3 History Generation via Multimodal Self Summarization
4 iOS Screen Navigation Experiment
4.1 Experimental Setup
4.2 Intended Action Description
4.3 Localized Action Execution and 4.4 The Current State with GPT-4V
5 Android Screen Navigation Experiment
5.1 Experimental Setup
5.2 Performance Comparison
5.3 Ablation Studies
5.4 Error Analysis
6 Discussion
7 Conclusion and References 4.2 Intended Action Description Table 1 reports an accuracy of 90.9% on generating the correct intended action description, quantitatively supporting GPT-4V’s capability in understanding the screen actions to perform (Yang et al., 2023c; Lin et al., 2023). Figure 1 showcases representative screen understanding examples. Given a screen and a text instruction, GPT-4V gives a text description of its intended next move. For example, in Figure 1(a), GPT-4V understands the Safari browser limits of “the limit of 500 open tabs,” and suggests “Try closing a few tabs and then see if the "+" button becomes clickable.” Another example is telling the procedure for iOS update: “You should click on "General" and then look for an option labeled "Software Update” in (b). GPT-4V also effectively understands complicated screens with multiple images and icons. For example, in (c), GPT-4V mentions, “For information on road closures and other alerts at Mt. Rainier, you should click on "6 Alerts" at the top of the screen.” Figure 1(d) gives an example in online shopping, where GPT-4V suggests the correct product to check based on the user input of the desired “wet cat food.” This paper is available on arxiv under CC BY 4.0 DEED license. Authors: (1) An Yan, UC San Diego, ayan@ucsd.edu; (2) Zhengyuan Yang, Microsoft Corporation, zhengyang@microsoft.com with equal contributions; (3) Wanrong Zhu, UC Santa Barbara, wanrongzhu@ucsb.edu; (4) Kevin Lin, Microsoft Corporation, keli@microsoft.com; (5) Linjie Li, Microsoft Corporation, lindsey.li@mocrosoft.com; (6) Jianfeng Wang, Microsoft Corporation, jianfw@mocrosoft.com; (7) Jianwei Yang, Microsoft Corporation, jianwei.yang@mocrosoft.com; (8) Yiwu Zhong, University of Wisconsin-Madison, yzhong52@wisc.edu; (9) Julian McAuley, UC San Diego, jmcauley@ucsd.edu; (10) Jianfeng Gao, Microsoft Corporation, jfgao@mocrosoft.com; (11) Zicheng Liu, Microsoft Corporation, zliu@mocrosoft.com; (12) Lijuan Wang, Microsoft Corporation, lijuanw@mocrosoft.com. Authors: Authors: (1) An Yan, UC San Diego, ayan@ucsd.edu; (2) Zhengyuan Yang, Microsoft Corporation, zhengyang@microsoft.com with equal contributions; (3) Wanrong Zhu, UC Santa Barbara, wanrongzhu@ucsb.edu; (4) Kevin Lin, Microsoft Corporation, keli@microsoft.com; (5) Linjie Li, Microsoft Corporation, lindsey.li@mocrosoft.com; (6) Jianfeng Wang, Microsoft Corporation, jianfw@mocrosoft.com; (7) Jianwei Yang, Microsoft Corporation, jianwei.yang@mocrosoft.com; (8) Yiwu Zhong, University of Wisconsin-Madison, yzhong52@wisc.edu; (9) Julian McAuley, UC San Diego, jmcauley@ucsd.edu; (10) Jianfeng Gao, Microsoft Corporation, jfgao@mocrosoft.com; (11) Zicheng Liu, Microsoft Corporation, zliu@mocrosoft.com; (12) Lijuan Wang, Microsoft Corporation, lijuanw@mocrosoft.com. Editor’s note: This is the part 6 of 13 of a paper evaluating the use of a generative AI to navigate smartphones. You can read the rest of the paper via the table of links below. Editor’s note: This is the part 6 of 13 of a paper evaluating the use of a generative AI to navigate smartphones. You can read the rest of the paper via the table of links below. Editor’s note: This is the part 6 of 13 of a paper evaluating the use of a generative AI to navigate smartphones. You can read the rest of the paper via the table of links below. Editor’s note: This is the part 6 of 13 of a paper evaluating the use of a generative AI to navigate smartphones. You can read the rest of the paper via the table of links below. Table of Links Abstract and 1 Introduction 2 Related Work 3 MM-Navigator 3.1 Problem Formulation and 3.2 Screen Grounding and Navigation via Set of Mark 3.3 History Generation via Multimodal Self Summarization 4 iOS Screen Navigation Experiment 4.1 Experimental Setup 4.2 Intended Action Description 4.3 Localized Action Execution and 4.4 The Current State with GPT-4V 5 Android Screen Navigation Experiment 5.1 Experimental Setup 5.2 Performance Comparison 5.3 Ablation Studies 5.4 Error Analysis 6 Discussion 7 Conclusion and References Abstract and 1 Introduction Abstract and 1 Introduction 2 Related Work 2 Related Work 3 MM-Navigator 3.1 Problem Formulation and 3.2 Screen Grounding and Navigation via Set of Mark 3.1 Problem Formulation and 3.2 Screen Grounding and Navigation via Set of Mark 3.3 History Generation via Multimodal Self Summarization 3.3 History Generation via Multimodal Self Summarization 4 iOS Screen Navigation Experiment 4.1 Experimental Setup 4.1 Experimental Setup 4.2 Intended Action Description 4.2 Intended Action Description 4.3 Localized Action Execution and 4.4 The Current State with GPT-4V 4.3 Localized Action Execution and 4.4 The Current State with GPT-4V 5 Android Screen Navigation Experiment 5.1 Experimental Setup 5.1 Experimental Setup 5.2 Performance Comparison 5.2 Performance Comparison 5.3 Ablation Studies 5.3 Ablation Studies 5.4 Error Analysis 5.4 Error Analysis 6 Discussion 6 Discussion 7 Conclusion and References 7 Conclusion and References 4.2 Intended Action Description Table 1 reports an accuracy of 90.9% on generating the correct intended action description, quantitatively supporting GPT-4V’s capability in understanding the screen actions to perform (Yang et al., 2023c; Lin et al., 2023). Figure 1 showcases representative screen understanding examples. Given a screen and a text instruction, GPT-4V gives a text description of its intended next move. For example, in Figure 1(a), GPT-4V understands the Safari browser limits of “the limit of 500 open tabs,” and suggests “Try closing a few tabs and then see if the "+" button becomes clickable.” Another example is telling the procedure for iOS update: “You should click on "General" and then look for an option labeled "Software Update” in (b). GPT-4V also effectively understands complicated screens with multiple images and icons. For example, in (c), GPT-4V mentions, “For information on road closures and other alerts at Mt. Rainier, you should click on "6 Alerts" at the top of the screen.” Figure 1(d) gives an example in online shopping, where GPT-4V suggests the correct product to check based on the user input of the desired “wet cat food.” This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

Researchers Successfully Develop AI Model That Can Handle Everyday Tasks on Your iPhone

Albert Einstein famously defined insanity as doing the same thing over and over again and expecting different results. From my perspective, this principle, often cited to highlight counterproductive behavior, aptly describes the current state of B2B marketing, especially at the middle market and enterprise levels. Despite evolving technologies and market dynamics, many companies persist with traditional strategies relying on volume and consistency, hoping for a breakthrough that sometimes never arrives. The Current Challenges In B2B Marketing The B2B marketing landscape is fraught with challenges. From saturated channels to evolving buyer expectations, businesses find it increasingly difficult to stand out. Email marketing, social media, blogs and content creation have become ubiquitous tools. Yet, their effectiveness diminishes as every company follows the same playbook. Let's explore some of the core challenges. Email Marketing Fatigue: Despite sophisticated segmentation and personalization techniques, email inboxes are flooded. Decision makers often overlook even the most well-crafted emails amidst the clutter. • Social Media Overload: Platforms like LinkedIn are brimming with posts, articles and ads. The noise level is high, making it challenging for any single message to resonate. • Content Saturation: Every company has a blog, eBook or whitepaper. The internet is awash with content, much of it repetitive and lacking in originality. Potential clients struggle to find valuable insights amid the deluge. • Diminishing Returns On Traditional Tactics: Webinars, whitepapers and case studies are staples in B2B marketing. However, as more businesses use these tactics, their impact lessens. The same strategies are recycled without yielding new results. The Insanity Principle In Action The prevailing B2B marketing approach exemplifies the Insanity Principle. Companies stick to the same strategies, hoping for different outcomes. The cycle perpetuates because change is daunting, and there is comfort in the familiar. Yet, breaking free from this cycle is essential for meaningful progress. Rethinking B2B Marketing Strategies To overcome these challenges and escape the insanity cycle, B2B marketers must embrace innovation and adaptability. Here are some steps to consider. • Embrace Account-Based Marketing (ABM): ABM focuses on personalized, high-touch engagement with key accounts. This approach contrasts with the broad, often impersonal methods of traditional marketing. By tailoring efforts to specific needs and pain points, companies can foster deeper relationships with customers and drive better results. • Leverage AI And Data Analytics: AI can offer predictive insights, automate mundane tasks and personalize interactions at scale. Data analytics provide a clearer understanding of buyer behavior, enabling more targeted and effective marketing efforts. • Humanize The Brand: Authenticity resonates. User-generated content and influencer partnerships can inject credibility and relatability into marketing efforts. Meeting customers where they are—whether on TikTok, Instagram or LinkedIn—ensures messages are delivered in a context that feels natural and engaging. • Innovate With Interactive Content: Static content is losing its luster. Interactive content like quizzes, calculators and virtual events can capture attention and engage audiences in more meaningful ways. • Foster Community And Engagement: Building a community around your brand can drive loyalty and advocacy. Creating platforms for discussion, feedback and shared experiences can help cultivate a sense of belonging and trust. • Experiment And Iterate: Agile marketing allows for continuous testing and optimization. By embracing a mindset of experimentation, companies can quickly adapt to changing market conditions and refine their strategies based on real-time feedback. Looking Forward The Insanity Principle serves as a cautionary tale for B2B marketers. Sticking to outdated strategies while expecting different outcomes is a recipe for stagnation. By embracing innovation, leveraging new technologies and prioritizing authentic engagement, companies can break free from the cycle and achieve sustainable growth. Truly escaping the trappings of the Insanity Principle requires bold steps and a willingness to challenge the status quo. Here are some ideas. • Adopt A Growth Mindset: Encourage a culture that embraces change and continuous learning. A growth mindset allows teams to view failures as opportunities for learning and improvement. • Empower Teams To Take Risks: Innovation often comes from taking calculated risks. Leadership should create an environment where teams feel safe to experiment without fear of failure. • Invest In Continuous Improvement: Regularly assess and refine marketing strategies based on data-driven insights. Continuous improvement ensures that marketing efforts evolve with market conditions and buyer expectations. • Encourage Cross-Functional Collaboration: Breaking down silos and fostering collaboration across departments can lead to more integrated and effective marketing strategies. Diverse perspectives often lead to more innovative solutions. • Stay Customer-Centric: Keep the customer at the heart of all marketing efforts. Understanding and addressing their evolving needs and preferences can drive more effective and resonant marketing campaigns. By moving beyond the comfort of the familiar and pioneering new paths in B2B marketing, companies can not only avoid the pitfalls of the Insanity Principle but also position themselves for long-term success in a rapidly changing landscape. Follow me on LinkedIn. Albert Einstein famously defined insanity as doing the same thing over and over again and expecting different results. From my perspective, this principle, often cited to highlight counterproductive behavior, aptly describes the current state of B2B marketing, especially at the middle market and enterprise levels. Despite evolving technologies and market dynamics, many companies persist with traditional strategies relying on volume and consistency, hoping for a breakthrough that sometimes never arrives. The Current Challenges In B2B Marketing The B2B marketing landscape is fraught with challenges. From saturated channels to evolving buyer expectations, businesses find it increasingly difficult to stand out. Email marketing, social media, blogs and content creation have become ubiquitous tools. Yet, their effectiveness diminishes as every company follows the same playbook. Let's explore some of the core challenges. Email Marketing Fatigue: Despite sophisticated segmentation and personalization techniques, email inboxes are flooded. Decision makers often overlook even the most well-crafted emails amidst the clutter. Email Marketing Fatigue: Despite sophisticated segmentation and personalization techniques, email inboxes are flooded. Decision makers often overlook even the most well-crafted emails amidst the clutter. Email Marketing Fatigue: • Social Media Overload: Platforms like LinkedIn are brimming with posts, articles and ads. The noise level is high, making it challenging for any single message to resonate. • Social Media Overload: • Content Saturation: Every company has a blog, eBook or whitepaper. The internet is awash with content, much of it repetitive and lacking in originality. Potential clients struggle to find valuable insights amid the deluge. • Content Saturation: • Diminishing Returns On Traditional Tactics: Webinars, whitepapers and case studies are staples in B2B marketing. However, as more businesses use these tactics, their impact lessens. The same strategies are recycled without yielding new results. • Diminishing Returns On Traditional Tactics: The Insanity Principle In Action The prevailing B2B marketing approach exemplifies the Insanity Principle. Companies stick to the same strategies, hoping for different outcomes. The cycle perpetuates because change is daunting, and there is comfort in the familiar. Yet, breaking free from this cycle is essential for meaningful progress. Rethinking B2B Marketing Strategies To overcome these challenges and escape the insanity cycle, B2B marketers must embrace innovation and adaptability. Here are some steps to consider. • Embrace Account-Based Marketing (ABM): ABM focuses on personalized, high-touch engagement with key accounts. This approach contrasts with the broad, often impersonal methods of traditional marketing. By tailoring efforts to specific needs and pain points, companies can foster deeper relationships with customers and drive better results. • Embrace Account-Based Marketing (ABM): • Leverage AI And Data Analytics: AI can offer predictive insights, automate mundane tasks and personalize interactions at scale. Data analytics provide a clearer understanding of buyer behavior, enabling more targeted and effective marketing efforts. • Leverage AI And Data Analytics: • Humanize The Brand: Authenticity resonates. User-generated content and influencer partnerships can inject credibility and relatability into marketing efforts. Meeting customers where they are—whether on TikTok, Instagram or LinkedIn—ensures messages are delivered in a context that feels natural and engaging. • Humanize The Brand: • Innovate With Interactive Content: Static content is losing its luster. Interactive content like quizzes, calculators and virtual events can capture attention and engage audiences in more meaningful ways. • Innovate With Interactive Content: • Foster Community And Engagement: Building a community around your brand can drive loyalty and advocacy. Creating platforms for discussion, feedback and shared experiences can help cultivate a sense of belonging and trust. • Foster Community And Engagement: • Experiment And Iterate: Agile marketing allows for continuous testing and optimization. By embracing a mindset of experimentation, companies can quickly adapt to changing market conditions and refine their strategies based on real-time feedback. • Experiment And Iterate: Looking Forward The Insanity Principle serves as a cautionary tale for B2B marketers. Sticking to outdated strategies while expecting different outcomes is a recipe for stagnation. By embracing innovation, leveraging new technologies and prioritizing authentic engagement, companies can break free from the cycle and achieve sustainable growth. Truly escaping the trappings of the Insanity Principle requires bold steps and a willingness to challenge the status quo. Here are some ideas. • Adopt A Growth Mindset: Encourage a culture that embraces change and continuous learning. A growth mindset allows teams to view failures as opportunities for learning and improvement. • Adopt A Growth Mindset: • Empower Teams To Take Risks: Innovation often comes from taking calculated risks. Leadership should create an environment where teams feel safe to experiment without fear of failure. • Empower Teams To Take Risks: • Invest In Continuous Improvement: Regularly assess and refine marketing strategies based on data-driven insights. Continuous improvement ensures that marketing efforts evolve with market conditions and buyer expectations. • Invest In Continuous Improvement: • Encourage Cross-Functional Collaboration: Breaking down silos and fostering collaboration across departments can lead to more integrated and effective marketing strategies. Diverse perspectives often lead to more innovative solutions. • Encourage Cross-Functional Collaboration: • Stay Customer-Centric: Keep the customer at the heart of all marketing efforts. Understanding and addressing their evolving needs and preferences can drive more effective and resonant marketing campaigns. • Stay Customer-Centric: By moving beyond the comfort of the familiar and pioneering new paths in B2B marketing, companies can not only avoid the pitfalls of the Insanity Principle but also position themselves for long-term success in a rapidly changing landscape. Follow me on LinkedIn . LinkedIn

B2B Marketing Is Stuck in a Loop, and It’s Driving Everyone Insane

B2B Marketing ukax mä Loop ukan ch’amanchatawa, ukatx Taqiniruw Loco ukham tukuyi

El marketing B2B está atrapado en un bucle y está volviendo locos a todos

Maketing B2B kole nan yon bouk, epi li fè tout moun fou

B2B マーケティングはループに陥り、誰もが気が狂いそうになっている

B2B მარკეტინგი გაჭედილია და ის ყველას გიჟდება

B2B 마케팅은 루프에 갇혀 있고 모든 사람을 미치게 만들고 있습니다.

B2B маркетинги айлампага тыгылып, бардыгын жинди кылып жатат

B2B mārketings ir iestrēdzis, un tas visus padara neprātīgus

Marketingul B2B este blocat și îi înnebunește pe toți

B2B අලෙවිකරණය ලූපයක සිරවී ඇති අතර එය සෑම කෙනෙකුම උමතු කරවයි

Б2Б маркетинг је заглављен у петљи и све излуђује

การตลาด B2B ติดอยู่ในวงจร และทำให้ทุกคนคลั่งไคล้

Every Reason You Should be Getting Started With .Net Aspire

"If you have four hours to cut a tree with an axe, spend three sharpening the axe. If you have six hours, find a chainsaw." ~ Praise J.J. The world doesn’t reward effort. It rewards results. Yet, effort can lead to results if applied correctly. The secret? leverage. Let’s start with the question that matters: Are you right enough? Success Isn’t About Dreams—It’s About Systems Unlike the feel-good narrative Hollywood sells, success isn’t about bad childhoods and big aspirations. It’s about having the right systems. Everyone running with Usain Bolt has the same goal: finish first. The winner isn’t the one who wants it most—it’s the one with the right combination of diet, training, and strategy. The world operates efficiently. Unlike school, where you get points for showing your work, the real world only cares about the answer. Effort ≠ Justification. Results = justification. $10,000 in value earns $10,000, whether it takes 20 minutes or 200 hours. Even if it’s 10 lines of code. The question isn’t whether you’re working hard or smart. The question is: Are you doing what it takes? “Work Hard" Is Overrated Let’s break down the world’s advice: 49% say: Work hard. I disagree.
Another 49% say: Work smart. I disagree.
The final 1% say: Work hard AND smart. I still disagree. The problem? These phrases are overloaded—they mean different things to different people. The better word is diligence: doing the work required, with or without recognition, for as long as it takes. Not your best, not your hardest, not your smartest. Just what the problem demands. Work = Volume × Leverage The work equation is simple: Volume is the intensity of inputs: 100 cold emails, 10,000 words, 500 squats.
Leverage is the multiplier: the tools or systems that amplify your efforts. To achieve success, you need the right balance of volume and leverage. Increase volume: "Do more."
Find leverage: tools, systems, or strategies that multiply your inputs. There are two types of leverage: Permissioned: Somebody has to give it to you (e.g., labor, capital).
Permissionless: You don't need consent (e.g., code, content creation). Leverage is non-negotiable. Without it, you’re playing the wrong game. Linear vs. Exponential Growth You either grow or die. The stock market grows by 9% annually. Money is inflating. Everything is dynamic. So, being stagnant means you're growing at the same rate the world moves. Anything less is dying. There are two types of growth paths: Linear Growth
Exponential Growth Linear Growth: Climbing the Ladder Linear growth is when the value of leverage is 1. Most people are taught to grow linearly: Climb the corporate ladder.
Add one rung at a time.
Earn slightly more each year. Linear growth is predictable: Input X → Output X.
Input 2X → Output 2X. The problem? You always have to push. If you stop, you die. Linear growth works for specialists: surgeons, lawyers, and pilots. They’re expensive because they provide immense value. But their value depends entirely on them showing up. No surgeon, no surgery. If your goal is to build something bigger than yourself, linear growth won’t cut it. Exponential Growth: Leveraging Multipliers Exponential growth is where the magic happens. Here the value of leverage skyrockets. You can work for five years and see nothing, then one weekend in a garage changes everything. Examples: Facebook isn’t about the code—it’s the network effects.
Tesla’s worth isn’t in cars—it’s in the gigafactories and IP.
MrBeast’s success isn’t from one viral video—it’s consistency meeting exponential reach. Exponential growth is uncomfortable because it's not easy to predict. In exponential growth, you will always get the big payoff, but you can't know when. If you know when, you've already had the payoff. In linear growth, you will usually be right because you're not doing anything new. 1+1 will always equal 2. Millions of people have already lived their lives and gotten the same results. It's a framework that always delivers. It's based on simple and concrete truths. You'll only be wrong a few times (accidents and unfortunate circumstances). In exponential growth, you will be wrong 99% of the time. Just like Thomas Edison, just like the Wright brothers, just like Elon Musk, just like MrBeast and thousands of others that are building things bigger than themselves.But the only thing that matters is the big one at the end. That's what makes you 100% right. Linear people are 99% right but 100% wrong. The 1% that works overshadows all the failures. Exponential growth rewards patience, persistence, and adaptability. Every failed iteration builds the foundation for eventual success. Start Young, Start Small, Start Now The earlier you start chasing exponential growth, the easier it is. Early exponential growth: Late Exponential Growth: Here’s why: When you’re young, failure costs less.
As responsibilities grow, the cost of risk skyrockets. Consider this: If you earn $500/hour, risking 100 hours feels like losing $50,000.
If you earn $50/hour, those same 100 hours only risk $5,000.
If you earn $0/hour, you have nothing to lose. Start today. Every day you wait makes it harder to escape the linear trap. Leverage: The Skeleton Key to Tech Giants Leverage simply takes a decision that linear people would have to make repeatedly and does it at scale while you sleep. Tech giants leveraged systems that multiplied their efforts. Here’s how: Intellectual Property


Protect unique assets others can’t copy.


Example: Google’s search algorithm, Coca-Cola’s secret formula.


Takeaway: Build moats around your core value.



Network Effects


Users amplify the product’s value.


Example: Uber, LinkedIn, and Airbnb thrive because every new user strengthens the ecosystem.


Takeaway: Create flywheels where users drive growth.



Vertical Integration


Control your supply chain. Keep profits in-house.


Example: Apple builds hardware and software; Shopify owns its e-commerce stack.


Takeaway: Maximize profits by owning the stack.



Government Contracts


Secure recurring revenue and legitimacy.


Example: Palantir thrives on defense contracts.


Takeaway: Look for opportunities in regulated industries.



Productized Simplicity

Nail one thing.
Example: The "Yo" app (just sends “Yo”), yet it dominated for its simplicity.
Takeaway: Complexity isn’t always an asset. The Catapult Principle: Consistency Beats Entropy Success is like a catapult. The more you consistently pull, the farther you shoot. But inconsistency lets the stone fall off. Be diligent. Show up every day, especially when it feels pointless. Closing Thoughts: The Best Time to Start The best time to chase exponential growth was when you were a child. The second-best time is today. Linear growth gives comfort, but exponential growth gives freedom. Leverage your unique skills. Start small. Stay consistent. And one day, people will call you an overnight success. Rooting for you. Enjoy the rest of your day. PS: Want to unlock exponential growth and mental clarity? Join my newsletter: https://crive.substack.com "If you have four hours to cut a tree with an axe, spend three sharpening the axe. If you have six hours, find a chainsaw." ~ Praise J.J. "If you have four hours to cut a tree with an axe, spend three sharpening the axe. If you have six hours, find a chainsaw." ~ Praise J.J. "If you have four hours to cut a tree with an axe, spend three sharpening the axe. If you have six hours, find a chainsaw." The world doesn’t reward effort. It rewards results. Yet, effort can lead to results if applied correctly. The secret? leverage. Let’s start with the question that matters: Are you right enough? Are you right enough? Success Isn’t About Dreams—It’s About Systems Success Isn’t About Dreams—It’s About Systems Unlike the feel-good narrative Hollywood sells, success isn’t about bad childhoods and big aspirations. It’s about having the right systems. Everyone running with Usain Bolt has the same goal: finish first . The winner isn’t the one who wants it most—it’s the one with the right combination of diet, training, and strategy. finish first The world operates efficiently. Unlike school, where you get points for showing your work, the real world only cares about the answer. Effort ≠ Justification. Results = justification. $10,000 in value earns $10,000, whether it takes 20 minutes or 200 hours. Even if it’s 10 lines of code. The question isn’t whether you’re working hard or smart. The question is: Are you doing what it takes? Are you doing what it takes? “Work Hard" Is Overrated “Work Hard" Is Overrated Let’s break down the world’s advice: 49% say: Work hard. I disagree. Another 49% say: Work smart. I disagree. The final 1% say: Work hard AND smart. I still disagree. 49% say: Work hard. I disagree. Work hard. Another 49% say: Work smart. I disagree. Work smart. The final 1% say: Work hard AND smart. I still disagree. Work hard AND smart. The problem? These phrases are overloaded—they mean different things to different people. The better word is diligence : doing the work required, with or without recognition, for as long as it takes. Not your best, not your hardest, not your smartest. Just what the problem demands. diligence Work = Volume × Leverage Work = Volume × Leverage The work equation is simple: Volume is the intensity of inputs: 100 cold emails, 10,000 words, 500 squats. Leverage is the multiplier: the tools or systems that amplify your efforts. Volume is the intensity of inputs: 100 cold emails, 10,000 words, 500 squats. Volume Leverage is the multiplier: the tools or systems that amplify your efforts. Leverage To achieve success, you need the right balance of volume and leverage. Increase volume: "Do more." Find leverage: tools, systems, or strategies that multiply your inputs. Increase volume : "Do more." volume Find leverage : tools, systems, or strategies that multiply your inputs. leverage There are two types of leverage: Permissioned: Somebody has to give it to you (e.g., labor, capital). Permissionless: You don't need consent (e.g., code, content creation). Permissioned: Somebody has to give it to you (e.g., labor, capital). Permissioned: Permissionless: You don't need consent (e.g., code, content creation). Permissionless: Leverage is non-negotiable. Without it, you’re playing the wrong game. Linear vs. Exponential Growth Linear vs. Exponential Growth You either grow or die. The stock market grows by 9% annually. Money is inflating. Everything is dynamic. So, being stagnant means you're growing at the same rate the world moves. Anything less is dying. There are two types of growth paths: Linear Growth Exponential Growth Linear Growth Linear Growth Exponential Growth Exponential Growth Linear Growth: Climbing the Ladder Linear Growth: Climbing the Ladder Linear growth is when the value of leverage is 1. Most people are taught to grow linearly: Climb the corporate ladder. Add one rung at a time. Earn slightly more each year. Climb the corporate ladder. Add one rung at a time. Earn slightly more each year. Linear growth is predictable: Input X → Output X. Input 2X → Output 2X. Input X → Output X. Input 2X → Output 2X. The problem? You always have to push. If you stop, you die. Linear growth works for specialists: surgeons, lawyers, and pilots. They’re expensive because they provide immense value. But their value depends entirely on them showing up. No surgeon, no surgery. If your goal is to build something bigger than yourself, linear growth won’t cut it. Exponential Growth: Leveraging Multipliers Exponential Growth: Leveraging Multipliers Exponential growth is where the magic happens. Here the value of leverage skyrockets. You can work for five years and see nothing, then one weekend in a garage changes everything. Examples: Facebook isn’t about the code—it’s the network effects. Tesla’s worth isn’t in cars—it’s in the gigafactories and IP. MrBeast’s success isn’t from one viral video—it’s consistency meeting exponential reach. Facebook isn’t about the code—it’s the network effects. Tesla’s worth isn’t in cars—it’s in the gigafactories and IP. MrBeast’s success isn’t from one viral video—it’s consistency meeting exponential reach. Exponential growth is uncomfortable because it's not easy to predict. In exponential growth, you will always get the big payoff, but you can't know when. If you know when, you've already had the payoff. In linear growth, you will usually be right because you're not doing anything new. 1+1 will always equal 2. Millions of people have already lived their lives and gotten the same results. It's a framework that always delivers. It's based on simple and concrete truths. You'll only be wrong a few times (accidents and unfortunate circumstances). In exponential growth, you will be wrong 99% of the time. Just like Thomas Edison, just like the Wright brothers, just like Elon Musk, just like MrBeast and thousands of others that are building things bigger than themselves. But the only thing that matters is the big one at the end. That's what makes you 100% right. Linear people are 99% right but 100% wrong. The 1% that works overshadows all the failures. Exponential growth rewards patience, persistence, and adaptability. Every failed iteration builds the foundation for eventual success. Start Young, Start Small, Start Now Start Young, Start Small, Start Now The earlier you start chasing exponential growth, the easier it is. Early exponential growth: Early exponential growth: Late Exponential Growth: Late Exponential Growth: Here’s why: When you’re young, failure costs less. As responsibilities grow, the cost of risk skyrockets. When you’re young, failure costs less. As responsibilities grow, the cost of risk skyrockets. Consider this: If you earn $500/hour, risking 100 hours feels like losing $50,000. If you earn $50/hour, those same 100 hours only risk $5,000. If you earn $0/hour, you have nothing to lose. If you earn $500/hour, risking 100 hours feels like losing $50,000. If you earn $50/hour, those same 100 hours only risk $5,000. If you earn $0/hour, you have nothing to lose. Start today. Every day you wait makes it harder to escape the linear trap. Leverage: The Skeleton Key to Tech Giants Leverage: The Skeleton Key to Tech Giants Leverage simply takes a decision that linear people would have to make repeatedly and does it at scale while you sleep. Tech giants leveraged systems that multiplied their efforts. Here’s how: Intellectual Property


Protect unique assets others can’t copy.


Example: Google’s search algorithm, Coca-Cola’s secret formula.


Takeaway: Build moats around your core value. Network Effects


Users amplify the product’s value.


Example: Uber, LinkedIn, and Airbnb thrive because every new user strengthens the ecosystem.


Takeaway: Create flywheels where users drive growth. Vertical Integration


Control your supply chain. Keep profits in-house.


Example: Apple builds hardware and software; Shopify owns its e-commerce stack.


Takeaway: Maximize profits by owning the stack. Government Contracts


Secure recurring revenue and legitimacy.


Example: Palantir thrives on defense contracts.


Takeaway: Look for opportunities in regulated industries. Productized Simplicity

Nail one thing.
Example: The "Yo" app (just sends “Yo”), yet it dominated for its simplicity.
Takeaway: Complexity isn’t always an asset. Intellectual Property Protect unique assets others can’t copy.


Example: Google’s search algorithm, Coca-Cola’s secret formula.


Takeaway: Build moats around your core value. Intellectual Property Protect unique assets others can’t copy. Example: Google’s search algorithm, Coca-Cola’s secret formula. Takeaway: Build moats around your core value. Protect unique assets others can’t copy. Protect unique assets others can’t copy. Example: Google’s search algorithm, Coca-Cola’s secret formula. Example: Google’s search algorithm, Coca-Cola’s secret formula. Takeaway: Build moats around your core value. Takeaway: Build moats around your core value. Takeaway: Network Effects Users amplify the product’s value.


Example: Uber, LinkedIn, and Airbnb thrive because every new user strengthens the ecosystem.


Takeaway: Create flywheels where users drive growth. Network Effects Users amplify the product’s value. Example: Uber, LinkedIn, and Airbnb thrive because every new user strengthens the ecosystem. Takeaway: Create flywheels where users drive growth. Users amplify the product’s value. Users amplify the product’s value. Example: Uber, LinkedIn, and Airbnb thrive because every new user strengthens the ecosystem. Example: Uber, LinkedIn, and Airbnb thrive because every new user strengthens the ecosystem. Takeaway: Create flywheels where users drive growth. Takeaway: Create flywheels where users drive growth. Takeaway: Vertical Integration Control your supply chain. Keep profits in-house.


Example: Apple builds hardware and software; Shopify owns its e-commerce stack.


Takeaway: Maximize profits by owning the stack. Vertical Integration Control your supply chain. Keep profits in-house. Example: Apple builds hardware and software; Shopify owns its e-commerce stack. Takeaway: Maximize profits by owning the stack. Control your supply chain. Keep profits in-house. Control your supply chain. Keep profits in-house. Example: Apple builds hardware and software; Shopify owns its e-commerce stack. Example: Apple builds hardware and software; Shopify owns its e-commerce stack. Takeaway: Maximize profits by owning the stack. Takeaway: Maximize profits by owning the stack. Takeaway: Government Contracts Secure recurring revenue and legitimacy.


Example: Palantir thrives on defense contracts.


Takeaway: Look for opportunities in regulated industries. Government Contracts Secure recurring revenue and legitimacy. Example: Palantir thrives on defense contracts. Takeaway: Look for opportunities in regulated industries. Secure recurring revenue and legitimacy. Secure recurring revenue and legitimacy. Example: Palantir thrives on defense contracts. Example: Palantir thrives on defense contracts. Takeaway: Look for opportunities in regulated industries. Takeaway: Look for opportunities in regulated industries. Takeaway: Productized Simplicity Nail one thing.
Example: The "Yo" app (just sends “Yo”), yet it dominated for its simplicity.
Takeaway: Complexity isn’t always an asset. Productized Simplicity Nail one thing. Example: The "Yo" app (just sends “Yo”), yet it dominated for its simplicity. Takeaway: Complexity isn’t always an asset. Nail one thing. Example: The "Yo" app (just sends “Yo”), yet it dominated for its simplicity. Takeaway: Complexity isn’t always an asset. Takeaway: The Catapult Principle: Consistency Beats Entropy The Catapult Principle: Consistency Beats Entropy Success is like a catapult. The more you consistently pull, the farther you shoot. But inconsistency lets the stone fall off. Be diligent. Show up every day, especially when it feels pointless. Closing Thoughts: The Best Time to Start Closing Thoughts: The Best Time to Start The best time to chase exponential growth was when you were a child. The second-best time is today. Linear growth gives comfort, but exponential growth gives freedom. Leverage your unique skills. Start small. Stay consistent. And one day, people will call you an overnight success. Rooting for you. Enjoy the rest of your day. PS: Want to unlock exponential growth and mental clarity? Join my newsletter: https://crive.substack.com PS: Want to unlock exponential growth and mental clarity?

Leverage: The Shortcut to Outperforming Everyone

EVERY

every.io

11-50 employees

Since 2021

COMPANY RANKING

EVERY

EVERGREEN INDEX #798

Representing this company? Click here to claim and customize this page!

Every WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

EVERY

every.io

11-50 employees

Since 2021

COMPANY RANKING

EVERY

EVERGREEN INDEX #798

RELATED COMPANIESRANK

STORIES ABOUT EVERY

Representing this company? Click here to claim and customize this page!

Every WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!