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Friday, July 31, 2026

The Agnostic/Atheists Case for God - No False Dichotomy


I. Introduction: Beyond the False Dichotomy

The modern narrative frequently frames science and faith as mutually exclusive: 

  • Science demands empirical verification, 
  • Whereas faith demands conviction without visual proof. 

Yet throughout history—and straight into the contemporary era—many of the most influential scientific minds have found no contradiction between probing the physical laws of nature and holding a belief in the Divine.

  • Historical Pioneers:

    • Archimedes (c. 287–212 BCE) Contribution: One of the greatest mathematicians and engineers in history (principles of buoyancy, levers, hydrostatics, and early concepts of calculus). While predating Christian or Islamic monotheism, Greek natural philosophers like Archimedes and Pythagoras operated within a cosmological worldview where mathematical harmony was seen as a reflection of a divine, supreme order in the cosmos.

    • Galileo Galilei (1564–1642): Pioneered modern observational astronomy (discovering Jupiter’s moons, phases of Venus) and key principles of kinematics.  Despite his famous clash with the Roman Inquisition over heliocentrism, Galileo remained a committed Roman Catholic throughout his life. He famously argued that the Bible teaches "how to go to heaven, not how the heavens go," maintaining that God was the author of two books: Sacred Scripture and the Book of Nature.

    • Nicolaus Copernicus (1473–1543): Formulated the heliocentric model of the universe (placing the Sun, rather than the Earth, at the center). A devout Catholic and canon (church official) at Frombork Cathedral. He dedicated his masterwork, De revolutionibus orbium coelestium, to Pope Paul III, asserting that studying the cosmos revealed the orderliness of God's design.

    • Francis Bacon (1561–1626): Developed the Baconian Method, which became the modern scientific method (emphasizing empirical observation, systematic experimentation, and inductive reasoning). An Anglican who wrote extensively on theology. Bacon argued that scientific knowledge was a tool given by God to relieve human suffering, writing: "A little philosophy inclineth man's mind to atheism; but depth in philosophy bringeth men's minds about to religion."

    • René Descartes (1596–1650): Father of Cartesian Geometry (also known as analytic geometry or coordinate geometry) was a devout Roman Catholic throughout his life, and his belief in God was not merely a personal preference—it was the foundational bedrock of his entire philosophical and scientific system.

    • Johannes Kepler (1571–1630): German astronomer who discovered the laws of planetary motion, describing his work as "thinking God's thoughts after Him." 

    • Isaac Newton (1643–1727): Formulator of classical mechanics and calculus, who authored extensive theological works alongside his scientific treatises.

    • Max Planck (1858–1947): Theoretical physicist who originated quantum theory (1918 Nobel Prize in Physics) and spoke openly about the necessity of religious faith for scientific pursuit.

    • Georges Lemaître (1894–1966): Belgian theoretical physicist, mathematician, and Catholic priest who first proposed the Big Bang theory.

  • Modern & Contemporary Figures:

    • Francis Collins (b. 1950): American physician-geneticist, former director of the National Institutes of Health (NIH), and leader of the Human Genome Project, author of The Language of God.

    • William D. Phillips (b. 1948): Nobel Laureate in Physics (1997) for laser cooling techniques, who is an active member of the United Methodist Church and a vocal defender of scientific-religious harmony.

    • Kenneth R. Miller (b. 1948): Evolutionary biologist at Brown University and author of Finding Darwin's God, known for publicly defending evolutionary science in court while practicing Catholic faith.

    • John Polkinghorne (1930–2021): British mathematical physicist who resigned a professorship at Cambridge to become an Anglican priest, devoting decades to synthesizing quantum mechanics and theology.

When a scientist believes in God, they are not necessarily endorsing a literalist reading of ancient texts or validating human religious institutions. Instead, they recognize that science excels at answering how the universe operates, while remaining silent on why we ought to seek truth, goodness, or purpose within it. Belief in God fills this existential void safely, harmlessly, and constructively.


The "Book of Nature": Thinkers like Copernicus, Ibn al-Haytham, and Galileo shared the exact premise you outlined: that discovering physical laws does not degrade God, but provides an empirical pathway to appreciate an ultimate, non-partisan standard of perfection.


Thesis: The man of science believes in God not out of blind dogma, but because God functions as an indispensable, transcendent standard—a "North Star" for life’s journey—that encourages continuous striving toward perfection despite the obvious imperfections of human beings and their doctrines.


Tuesday, July 14, 2026

Complexity is the Enemy.

 Complexity is the enemyomplexity is the enemy of all human endeavor.artisans and craftsmen solve complexity problems by creating tools and shortcuts that remove complexity from the problem that they seek to solve. Scientists similarly create tools to simplify complex problems that require a simpler and quicker and simpler method.

But in government we have the opposite. Complexity is injected at every turn. Congress employs Omnibus bills to fund pork barrel projects, that would not be funded in a million years, save for being butried in 4800+ pages of jabber! Tax codes are written with such complexity that a PhD is needed to decipher the codes. Even CPAs cringe at the thought of applying a specific lawful provision of the tax codes to obtain a deduction for a business or private party for fear that it may trigger an audit. 

Politicians are spending a surplus of tim complaining about what they conclude is an affordability problem. This is ignorance in abundance on display! There is no real affordability problem , There is a complexity problem, and, in fact, the same politicians screaming about "affordability" contributed to the very problems that need to be solved!






Thursday, April 23, 2026

A better future.

 I have been quite vocal about my political views. Some do not like my political messages. Others do. But politics is a massive distraction. 


I am an optimist. I am not naive. I believe that we as a civilization are on the cusp of a profound change which will impact the lives of everyone on the planet for the better. 


AI is going to radically change the world we live in.It will not be without challenges and pain, but with the opportunity to create a world that is orders of magnitude better than the world that we live in today. A world that will be better for our children , our grandchildren and our great-grand-children.


Technology is the most important revolution of our time. Its a productivity enhancer and it transforms all human pursuits. With care this can be a force for greater good, but politics will have very little influence on AI.AI is a great democratizer just as  the internet has been.


Please like and comment if you feel me.

Saturday, April 18, 2026

Atlasian JIRA -Total Garbage!

JIRA is trash. It always has been. Its tedious to use and they didt even know they have a problem until recently. Check out this announcement:

"Join us on April 22nd to learn how to speed up bug reporting with JIRAand Loom"

After some 20 years someone understands that people struggle with what should be routine activities in JIRA.



Saturday, February 28, 2026

Are We There Yet?

Are We There Yet? The Evolution of AI in Application Development

Introduction: The Speed of Thought

In 1999, Bill Gates published a landmark book entitled Business @ the Speed of Thought. He argued that for businesses to thrive, they must leverage digital technology and networked information systems to operate at "the speed of thought."

As a practitioner with over 35 years in software engineering, Liberty Technology Consulting’s CEO, David Hamu, had already embraced this philosophy. He employed these principles to build software solutions for dozens of industry leaders, including TRW, Motorola, International Rectifier, APS/Pinnacle West Corporation, General Instruments, Honeywell, Nationwide Insurance, Avnet, State Farm Insurance, and Wells Fargo Bank.

Gates foretold the necessity of a "digital nervous system"—a framework where information flows instantly and intelligently. He concluded that companies adopting this strategy would outcompete those tethered to slow, paper-based, or siloed processes.

The Agile Gap and the AI Horizon

In the early 2000s, Agile concepts were introduced to the IT landscape. Unfortunately, as a methodology, Agile is often devoid of standardized best practices; it frequently lacks a "North Star" beyond the preferences of the individual leading the regime.

While completing a Master of Decision and Information Systems at Arizona State University, Mr. Hamu focused his studies on the application of Artificial Intelligence. Despite his early work on machine learning projects and neural networks for various clients, AI was far from "prime time." Even as recently as 2024, Mr. Hamu’s survey of the market found that AI technologies were not yet mature enough to fulfill the promise of truly accelerating complex application development.

That has changed. Today, a slew of AI application development tools has reached the marketplace. We now have platforms supporting the rapid development of business applications and intelligent agents that integrate with data to support rapid decisioning and automated workflows.

However, we must pause. The space is crowded with "pretenders." To navigate this landscape, a clear taxonomy of what is required for professional AI application development is necessary.


A) Requisite Features of Mature AI Application Builders

  1. Modern UI Generation: Leveraging JavaScript frameworks such as React.js or Angular.js. There is no room for platforms that generate user interfaces mimicking outdated 1990s-era technology.

  2. Automated Back-end Support: Native generation of data stores and microservices. Most modern builders leverage Supabase, a service layer that sits atop the PostgreSQL relational database.

  3. Advanced Security: The platform must implement state-of-the-art security to thwart human hackers and autonomous AI hacking agents.

  4. Automated CI/CD Pipelines: Integrated deployment to eliminate the need for costly, manual DevOps resources.

  5. Agentic Capabilities: Robust support for building intelligent agents to automate complex decision-making.

  6. Version Control: Granular control to ensure seamless rollbacks to prior versions when necessary.

  7. Standard Integrations: Out-of-the-box support for essential services (e.g., Email, SMS, Cloud Storage, Logging, and Payment platforms).

  8. Functional Integrity: The builder must reliably apply changes to the platform without damaging existing application functionality.


B) The Truth Behind the Hype

AI application builders will undoubtedly shorten development lifecycles compared to conventional methods. However, it is a "fool’s paradise" to believe that a sophisticated business application—complete with agents, third-party integrations, and business intelligence—can be constructed from a single prompt in a matter of minutes. That is merely marketing hype.

Practically speaking, a complex business application still requires months of diligent planning, analysis, and construction. Nevertheless, this remains a "drop in the bucket" compared to the cost and time required to build the same application using a traditional team of software engineers writing raw code.

AI development provides the engineer with a "trusted coder" that doesn't take vacations, sick days, or lunch breaks. While these tools do not always build functionality perfectly on the first pass, they are incredibly efficient at diagnosing failure modes, data inconsistencies and debugging their own errors. further improving time-to-market.


C) The Core Framework Requirement

To a degree, AI builders impose their own frameworks. However, certain requirements cannot be achieved without an intentional design and architecture layer placed over that base. An AI builder alone will not reliably provide the necessary artifacts for a complex ecosystem of integrations and business intelligence; that still requires the steady hand of a skilled architect.

Conclusion

We began with the question: Are we there yet? The answer is: Just about. While we have not yet found a "Rosetta Stone" for universal application development, we have entered an era where AI application builders have achieved critical mass. This allows skilled software engineers to move away from the construction of raw code and instead delegate full-stack implementation to the AI, focusing their talents on high-level design and business logic.

Key Concepts from Business @ the Speed of Thought.

1. The “Digital Nervous System”

Gates compares effective information systems to a human nervous system.

Data flows instantly across the organization

Employees can respond quickly to problems and opportunities

Decision-making is based on real-time information

Takeaway: Speed + information = competitive advantage.

2. Information as a Strategic Asset

Gates emphasizes that how information moves inside a company is more important than traditional (management) hierarchies.

Replace paper processes with digital workflows

Use email and shared systems to break down silos

Capture customer data to improve products and service

Takeaway: Companies that harness data intelligently will dominate.

3. Empower Knowledge Workers

Technology should:

Automate routine tasks

Free employees to think strategically

Provide tools for collaboration

Gates predicted that companies failing to digitally equip workers would fall behind.

4. Customer-Centered Digital Systems

Digital tools should help companies:

Understand customer preferences

Personalize service

Anticipate needs

Gates foresaw CRM systems, e-commerce growth, and personalized online experiences before they became mainstream.

5. The Internet as a Business Platform

The book was forward-looking about:

Online sales

Self-service portals

Digital supply chains

Electronic marketplaces

Gates predicted the internet would transform every industry—not just tech.

Major Themes

Theme

Explanation

Speed

Faster information flow = faster decisions

Integration

Systems must connect across departments

Automation

Eliminate unnecessary human bottlenecks

Data-Driven Strategy

Use metrics and analytics to guide action

Digital Transformation

Every company must become a tech-enabled company

Predictions That Came True

Cloud-based collaboration

E-commerce dominance

Data analytics as core strategy

Mobile connectivity

Digital dashboards replacing paper reports

Overall Message

Businesses that treat information like a living system—flowing instantly and intelligently—will outperform competitors. Technology is not just an operational tool; it is a strategic weapon.

If you'd like, I can also:

Break this down into a 1-page executive summary

Extract 10 actionable lessons