Tech Quotes

“If you are on social media, and you are not learning, not laughing, not being inspired or not networking, then you are using it wrong.”
― Germany Kent

“Seemingly innocuous language like 'Oh, I'm flexible' or 'What do you want to do tonight?' has a dark computational underbelly that should make you think twice. It has the veneer of kindness about it, but it does two deeply alarming things. First, it passes the cognitive buck: 'Here's a problem, you handle it.' Second, by not stating your preferences, it invites the others to simulate or imagine them. And as we have seen, the simulation of the minds of others is one of the biggest computational challenges a mind (or machine) can ever face.”
― Brian Christian, Algorithms to Live By: The Computer Science of Human Decisions

“All media work us over completely.”
― Marshall McLuhan, The Medium is the Massage

“It's easier for a rich man to ride that camel through the eye of a needle directly into the Kingdom of Heaven, than for some of us to give up our cell phone.”
― Vera Nazarian, The Perpetual Calendar of Inspiration

“Just because you have baggage doesn't mean you have to lug it around.”
― Richie Norton

“Do not fear those who operate in the shadows”
― Michael Brady, The Fever

“The arrival of the Computer Revolution and the founding of the Computer Age has been announced many times. But if the triumph of a revolution is to be measured in terms of the profundity of the social revisions it entrained, then there has been no computer revolution. And however the present age is to be characterized, the computer is not eponymic of it.”
― Joseph Weizenbaum, Computer Power and Human Reason: From Judgment to Calculation

“I heard people repeat the same promises about the bright technological future, but I saw the digital world replicate the inequalities of the “real” world”
― Meredith Broussard, Artificial Unintelligence: How Computers Misunderstand the World

“The MVP has just those features considered sufficient for it to be of value to customers and allow for it to be shipped or sold to early adopters. Customer feedback will inform future development of the product.”
― Scott M. Graffius, Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions

“The bit is a fundamental particle of a different sort: not just tiny but abstract—a binary digit, a flip-flop, a yes-or-no. It is insubstantial, yet as scientists have finally come to understand information, they wonder whether it may be primary: more fundamental than matter itself. They suggest that the bit is the irreducible kernel and that information forms the very core of existence.”
― James Gleick

“Advances in technology can be empowering, progressive and enriching. History has shown this across civilisations and societies. But it has also shown, and the present and future will continue to show, that it is foolish, risky, flawed and folly without us raising our individual and collective consciousness and mindfulness to accompany it - to ensure we use it shrewdly, kindly and wisely.”
― Rasheed Ogunlaru

“There is no silver bullet that’s going to fix that. No, we are going to have to use a lot of lead bullets.”
― Ben Horowitz, The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers

“That's right - a kid's brain on tech looks like a brain on drugs.”
― Nicholas Kardaras, Glow Kids: How Screen Addiction Is Hijacking Our Kids -- And How to Break the Trance

“Digital vegetables can be a healthy use of screens (researching a term paper), while digital candy (Minecraft, Candy Crush) are hyperarousing and dopamine-activating digital stimulants without any ostensible 'health benefit'.”
― Nicholas Kardaras, Glow Kids: How Screen Addiction Is Hijacking Our Kids -- And How to Break the Trance

“One professor from MIT made the passionate plea that we must encourage children to develop the ability to think first, and then give them the computer. After that, the sky's the limit. But if you introduce the computer before the child's thought processes are worked out, then you have a disaster in the making”
― Nicholas Kardaras, Glow Kids: How Screen Addiction Is Hijacking Our Kids -- And How to Break the Trance

“The amnesiac tech press weaves the narrative fallacy around the proceedings, fabricating a make-believe dramatic arc from steely-eyed product ideation to flawless and unhesitating technical execution. What was an improbable bonanza at the hands of the flailing half-blind becomes the inevitable coup of the assured visionary.”
― Antonio Garcia Martinez, Chaos Monkeys: Obscene Fortune and Random Failure in Silicon Valley

“Today is the slowest rate of technological change you'll ever experience for the rest of your life."
- Shelley Palmer”
― J.D. Lasica

“Bitcoin and other cryptocurrencies are dependent on blockchain - the underlying distributed ledger that guarantees tamper-resistant permanent transactions - to do business. But that's not all blockchain does, or has the potential to do.”
― Olawale Daniel

“Cyborgification is simply the process of compensating technologically for the inherent limitations of natural man.”
― James Scott, Senior Fellow, Center for Cyber Influence Operations Studies

“A company’s revenue engine is a critical success factor. I had seen from my own direct experience how easy it was to get caught in silos: marketing people would just think of marketing, salespeople would just think of sales, and accounting wouldn’t think of itself as part of the revenue engine at all. Furthermore, product and the revenue engine were too often thought of completely independent of each other. The need for a more integrated approach was on my mind from the beginning.

The revenue engine is a whole system. It encompasses a diverse set of integrated components, each doing its part to advance the system’s purpose. The engine is not just comprised of marketing and sales— it includes product, accounting, and the underlying technology and data infrastructure required to keep everything flowing. It involves people, tools, workflow, and metrics. Its purpose is to optimize reach, conversion, and expansion of customer spend.

I call my revenue engine model “the bowtie schema.” It was the product of continuous iteration. As I interacted with marketing and sales practitioners and waded through the research, the model slowly emerged. The final model conveys not just the product and customer journey across the bowtie, but also the foundational layers that support that journey-- the interaction between people tools, workflow, and metrics that make it all happen.

The most basic question a CEO must answer is whether the product has achieved a value breakthrough. Without that, the revenue engine is irrelevant. Once product-market fit is confirmed, the next step is to clearly identify your ideal customer profile (ICP) and your business model. This includes the lifetime value (LTV) profile of your company. Assuming a strong product, a clear ICP, and a solid understanding of the constraints composed by your unit economics, the path forward is clear. Then, the focus will turn to uplifting the maturity of your revenue engine and scaling it efficiently.”
― Tom Mohr

“A company’s revenue engine is a critical success factor. I had seen from my own direct experience how easy it was to get caught in silos: marketing people would just think of marketing, salespeople would just think of sales, and accounting wouldn’t think of itself as part of the revenue engine at all. Furthermore, product and the revenue engine were too often thought of completely independent of each other. The need for a more integrated approach was on my mind from the beginning.”
― Tom Mohr

“The revenue engine is a whole system. It encompasses a diverse set of integrated components, each doing its part to advance the system’s purpose. The engine is not just comprised of marketing and sales— it includes product, accounting, and the underlying technology and data infrastructure required to keep everything flowing. It involves people, tools, workflow, and metrics. Its purpose is to optimize reach, conversion, and expansion of customer spend.”
― Tom Mohr

“I call my revenue engine model “the bowtie schema.” It was the product of continuous iteration. As I interacted with marketing and sales practitioners and waded through the research, the model slowly emerged. The final model conveys not just the product and customer journey across the bowtie, but also the foundational layers that support that journey-- the interaction between people tools, workflow, and metrics that make it all happen.”
― Tom Mohr, Scaling the Revenue Engine

“The most basic question a CEO must answer is whether the product has achieved a value breakthrough. Without that, the revenue engine is irrelevant. Once product-market fit is confirmed, the next step is to clearly identify your ideal customer profile (ICP) and your business model. This includes the lifetime value (LTV) profile of your company. Assuming a strong product, a clear ICP, and a solid understanding of the constraints composed by your unit economics, the path forward is clear. Then, the focus will turn to uplifting the maturity of your revenue engine and scaling it efficiently.”
― Tom Mohr, Scaling the Revenue Engine

“With every passing time, technology moves one step forward.”
― Santosh Kalwar

“Magical thinking underlies the I-don't-want-to-know-how-it-works-I-just-want-it-to-work view of technology. That may be a viable attitude for business people who don't want to take the time to understand their desktop computers, but it makes for a lethal combination when geeks and suits try to build businesses together.”
― Bill Pfleging, The Geek Gap: Why Business and Technology Professionals Don't Understand Each Other and Why They Need Each Other to Survive

“Could we can have developer acceptance criteria?”
― ahkeno

“IoT-Coming soon in a "THING" near you.”
― Syed Sharukh

“Normal science, the activity in which most scientists inevitably spend almost all their time, is predicated on the assumption that the scientific community knows what the world is like... [It] often suppresses fundamental novelties because they are necessarily subversive of its basic commitments. Nevertheless, so long as those commitments retain an element of the arbitrary, the very nature of normal research ensures that the novelty shall not be suppressed for very long... [N]ormal science repeatedly goes astray. And when it does—when, that is, the profession can no longer evade anomalies that subvert the existing tradition of scientific practice—then begin the extraordinary investigations that lead the profession at last to a new set of commitments, a new basis for the practice of science. The extraordinary episodes in which that shift of professional commitments occurs are the ones known in this essay as scientific revolutions. They are the tradition-shattering complements to the tradition-bound activity of normal science.”
― Thomas Kuhn, The Structure of Scientific Revolutions

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