Systems Wisdom

Time to add some end to end tests for your next application. 

4 Automated End to End Testing Solutions Compared

I won’t bury the lede on this one; don’t plan your career, a better approach is to develop a few scenarios of where you believe your industry is going and acquire the knowledge and skills that will be required to thrive in these scenarios. I’ll explain how to do this.

Don’t Plan Your Career, Instead Lay Out Scenarios.

How can a randomly selected governance, prevent corruption and directly improve all financial sectors?

SORA Parliament model will answer this question.

SORA Governance: The Wisdom of The Crowds.

In API product development, where the rubber meets the road, what obstacles do we meet along the way? Let's dive deep on how to succeed in API design-first.

Why is a ‘Design-First’ Approach to Building APIs Controversial? How Does One Win at It?

Written together with <a href="https://medium.com/@tiffinewang" data-anchor-type="2" data-user-id="dc8f69d2388c" data-action-value="dc8f69d2388c" data-action="show-user-card" data-action-type="hover" target="_blank">Tiffine Wang</a> of Singtel Innov8, Ryan Morgan of DFJ Growth, and <a href="https://medium.com/@freddy.dopfel" data-anchor-type="2" data-user-id="3a257e876cec" data-action-value="3a257e876cec" data-action="show-user-card" data-action-type="hover" target="_blank">Frederick Dopfel</a> of Samsung Ventures. The short version of this post was <a href="http://venturebeat.com/2017/02/12/robots-arent-automating-the-jobs-we-want-them-to/" target="_blank">featured in VentureBeat</a>

Top Unexpectedly Easy and Surprisingly Difficult Use Cases for Automation

Yann LeCun, Chief AI Scientist at Meta, discusses the future of AI. 

Meta’s AI Boss Just Called LLMs ‘Simplistic’ — Here’s What He’s Building Instead

Traverse th frontiers of blockchain research, including early problem detection, adaptive post-launch incentives, and a perpetually evolving  universal oracle. 

Future Investigations on an Intrinsic Integrity-Driven Model for Sustainable Reputation Systems

Everyone knows that forking is risky, expensive, and potential destructive. But none of those problems are the real reason I'm obsessed with #nofork problems. 

The #NoFork Movement, OR The Real Reason Why We Need DAOs

Quality is not about testing everything; quality is about testing what is most important.

Why 100 Percent Test Coverage is Not Possible — Lessons from Testing Banking and Healthcare Systems

With the enactment of the Public Enterprises Act, we've created a redundant layer of bureaucracy that serves more as a financial burden.

Statutory Boards Represent Legacy Systems That Have Outlived Their Purpose

Exploring human-machine social systems to address challenges like misinformation, market crashes, and road safety for a better, connected future.

A Roadmap for Addressing Critical Challenges in Human-Machine Social Systems

News flash. You're not actually being productive. You're just busy. And busy is the enemy of truly scaling your impact.

The Paradox of Scaling Through Inaction: Smart People Choose to Build Systems - Here's Why

Explore how human irrationality influences interaction with systems, the role of user input in validation, and the psychology of decision-making. 

The Dark Systems Manual

Having worked at Pixar in Systems, I know that Steve practiced what he preached. 

Focus and Innovation: Insights from Steve Jobs and Pixar's Systems Team

Discover the key themes for integrating diversity and inclusion in AI systems, along with a tailored user story template for practical application.


Operationalizing Diversity and Inclusion Requirements for AI Systems: Results 

As we stand at the crossroads of human ingenuity and artificial intelligence, the symphony of existence plays on.

Decentralization Systems And Unity With AI

A love letter to legacy code. Yes, the stuff that is old and still running and people are afraid to touch can teach us a lot. Don't be afraid of it.

Keep Your Best Engineers For the Worst Systems

Optimizing Netflix's ML ranker outcomes for a more efficient and accurate deep personalization experience of subscribers' long and short-term viewing preference

Enhancing Netflix's Deep Personalization: The Full Potential Of Its Current AI Recommender Systems

Why make AI smarter if it can threaten human existence? AI creators should balance risks with innovation for social good.

Wisdom Begins from The Fear of AI

What would happen if we apply some wisdom from handling exceptions to handling negative emotions?

Some Ways to Apply Some Programming Wisdom in Real Lives - Exceptions

We start with the large computer system. All classes of jobs can be handled by this powerful system.

On-Line Data-Acquisition Systems in Nuclear Physics, 1969: Chapter 1 - MATCHING COMPUTERS TO TASKS

It seems more and more of you are tuning into my channel because of my crypto trading articles. That’s humbling and wonderful at the same time.

All My Trusty Crypto Trading Wisdom in One Spot

Perhaps the most compelling and crucial question at the heart of our present day anxieties about the rise of Artificial Intelligence is this: will machines ever be creative, compassionate, and wise and so transcend our capabilities as leaders (whether leaders of enterprises, systems, families or simply our own lives)?

Leaders vs. AI: There Ain’t No Such Thing As Artificial Wisdom

When dealing with unfamiliar people, places, and companies, reputation can be powerful. Having a good reputation oneself will lead others to treat us more favorably, and we are more willing to deal with people and business which are themselves well-reputed. The role and importance of reputation in markets has been known by economists since at least the 1970’s, with George Akerlof famously defining the <a href="https://en.wikipedia.org/wiki/The_Market_for_Lemons" target="_blank">“Market for Lemons”</a>, describing how a market can fail when participants cannot properly gauge the quality of the offerings.

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Since 2013

Systems Wisdom's stories on HackerNoon

4 Automated End to End Testing Solutions Compared

Don’t Plan Your Career, Instead Lay Out Scenarios.

SORA Governance: The Wisdom of The Crowds.

Why is a ‘Design-First’ Approach to Building APIs Controversial? How Does One Win at It?

Top Unexpectedly Easy and Surprisingly Difficult Use Cases for Automation

Meta’s AI Boss Just Called LLMs ‘Simplistic’ — Here’s What He’s Building Instead

Future Investigations on an Intrinsic Integrity-Driven Model for Sustainable Reputation Systems

The #NoFork Movement, OR The Real Reason Why We Need DAOs

Why 100 Percent Test Coverage is Not Possible — Lessons from Testing Banking and Healthcare Systems

Statutory Boards Represent Legacy Systems That Have Outlived Their Purpose

A Roadmap for Addressing Critical Challenges in Human-Machine Social Systems

The Paradox of Scaling Through Inaction: Smart People Choose to Build Systems - Here's Why

The Dark Systems Manual

Focus and Innovation: Insights from Steve Jobs and Pixar's Systems Team

Operationalizing Diversity and Inclusion Requirements for AI Systems: Results

Decentralization Systems And Unity With AI

Keep Your Best Engineers For the Worst Systems

Enhancing Netflix's Deep Personalization: The Full Potential Of Its Current AI Recommender Systems

Wisdom Begins from The Fear of AI

Some Ways to Apply Some Programming Wisdom in Real Lives - Exceptions

On-Line Data-Acquisition Systems in Nuclear Physics, 1969: Chapter 1 - MATCHING COMPUTERS TO TASKS

All My Trusty Crypto Trading Wisdom in One Spot

Leaders vs. AI: There Ain’t No Such Thing As Artificial Wisdom

Reputation Systems: Promise and Peril

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