This is Love

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"This is love: Not that we loved God. It is that he loved us and sent his Son to give his life to pay for our sins."  1 John 4:10

“In this is love..” or another translation could be “In this way is seen the true love."

God didn’t look down and say, “Boy, I see you love me. I think I’ll love you.” Or “You’re a nice guy, I really like that.”

Instead:

You were rebellious, arrogant, self-centered. God said, “I love you.”

You ignored him, fought him, were bored with him. God said, “I love you.”

You spit in his face, yelled at him, shook your fist. God said, “I love you.”

That’s what John means here.

We see what real love is by looking at what God did. He loved us with a desire to restore us, to make us whole.

Most judges say they have used AI in their work

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A study found over 60 percent of surveyed judges have used AI in their work. Around 22 percent of the judges said they used AI daily or weekly in their duties. All the judges said that they do not rely on AI to decide how they will rule in case, but that after they decide, the tools can provide a starting point to write a legal document — not unlike a template that judges or clerks might use when writing routine orders — that they can then edit. -Washington Post

19 Articles about AI & Ethics

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AI Definitions: Agents

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AI Agents – These chatbots have the ability not only to answer questions and provide information, but to act on users' behalf in the background, autonomously. Users provide a goal (from researching competitors to virtual assistant functions like buying a car or planning a vacation), and the agent generates a task list and starting to work by breaking down the overall goal into smaller steps. The ability to understand complex instructions is crucial for agentic AI to be effective. Rather than passive processors of language, these proactive active agents can produce practical, real-world applications in uncertain but data-rich environments as it interacts with external tools and APIs. Agents are not the same as “AI copilots” which can collaborate with users but don’t make decisions on their own as agents can do. They are also not as powerful as Agentic AI, which can act more autonomously.

More AI definitions

“Social media is populist and polarizing; AI may be the opposite"

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While different AI platforms behave in subtly different ways, all of them nudge people away from the most extreme positions and towards more moderate and expert-aligned stances. This remains true after accounting for partisan differences in AI platform usage and chatbots’ sycophantic tendencies. -John Burn-Murdoch, chief data reporter for the Financial Times

19 Articles about AI & Coding

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AI Definitions: Training Data

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Training Data – A massive amount of text is initially fed into the system to train it. The AI uses this info to create a map of relationships, so it can make predictions. Giving the AI lots of data means more options, which can lead to more creative results. However, this can also make it more vulnerable to hackers and hallucinations. Using more curated, locked-down data sets makes AI models less vulnerable and more predictable but also less creative. 

More AI definitions

AI as Scientist

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An AI system that wrote a paper without human involvement that passed peer review for a workshop at the 2025 International Conference on Learning Representations, a top-tier venue in the field of machine learning. The paper was mediocre, according to experts. But its existence marks a turning point that the scientific community is only beginning to grapple with: AI has quickly moved from assisting scientists to attempting to be one. What if one day the AI-generated papers stop being mediocre? -Scientific American

 32 Free Online AI Classes

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AI Essentials – Google (through Coursera)

AI Fluency for Educators (Anthropic)

AI Fluency for nonprofits (Anthropic)

AI Fluency for Students (Anthropic)

AI Fluency: Framework & Foundations (Anthropic)

AI for Everyday Living: A Beginner Workshop for Older Adults (OpenAI Academy)

AI For Everyone (Coursera)

ChatGPT 101: The Complete Beginner's Guide and Masterclass (Udemy)

ChatGPT for Education 101 (OpenAI Academy)

ChatGPT for Education 102 (OpenAI Academy)

ChatGPT for Government 101 (OpenAI Academy)

ChatGPT for Government 102 (OpenAI Academy)

ChatGPT Foundations: Getting Started with AI (OpenAI Academy)

Claude 101 (Anthropic)

Claude Code in Action (Anthropic)

Coursera’s AI courses

Exploring ChatGPT in 2 hours: Practical Guide for Beginners (Udemy)

Generative AI for Data Analysts – IBM (through Coursera)

Generative AI for Data Scientists – Google (through Coursera)

Generative AI for Everyone (Coursera)

Generative AI with Large Language Models (Coursera)

Introduction to Claude Cowork (Anthropic)
Intro to Generative AI: A Beginner’s Primer on Core Concepts - Google (through Coursera)

Introduction to Generative AI (Google)

Learn how to use ChatGPT to Make Money! (Udemy)

Make Teaching Easier with Artificial Intelligence (Udemy)

Master Basics of ChatGPT & OpenAI API (Udemy)

Microsoft AI Product Manager – Microsoft (through Coursera)

Prompt Engineering for ChatGPT – Vanderbilt University (through Coursera)

Prompting with Purpose (OpenAI Academy)

Small Business Jam: Online AI Skill Lab (OpenAI Academy)

Teaching AI Fluency (Anthropic)

AI Definitions: Tokens

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Tokens - Think of a token as the root of a word. “Creat” would be the “root” of words like create, creative, creator, creating, and creation. An LLM looks for correlations — words that go together like giraffe and neck. This group of words are represented by a token. A single word might fall into many tokens since the word might have multiple meanings and the subwords of this word will likely correlate to many other subwords. One token generally corresponds to ~4 characters of text for common English text. Examples

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The AI Niceness Overload

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Stanford researchers say chatbots are overly agreeable when giving interpersonal advice, affirming users' behavior even when harmful or illegal. On top of that, users could not distinguish when an AI was acting overly agreeable. The study’s lead author worries that the sycophantic advice will worsen people’s social skills and ability to navigate uncomfortable situations. “AI makes it really easy to avoid friction with other people.” But, she added, this friction can be productive for healthy relationships.  More from Stanford

A Simple Explanation as to How AI (LLMs) Works

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Building the AI 

Large Language Models (LLMs). Computer programs that do one thing: predict the next “token.”   

Training Data. A massive amount of text is initially fed into the system to train it.  

Parameters. The internals rules and limitations learned from the training data. 

Tokenization part 1: pre-training. The process of converting the raw training data (text, images, or audio) into small units called tokens. 

What happens When Someone uses the AI

Prompt. A user asks a question.

Tokenization part 2: inference. The process of converting the prompt (whether text, images, or audio) into small units called tokens. 

Embedding. The conversion of tokens into numbers (vectors) so the computer can look at their relationships. 

Vector databases. The storage and search engine for vector embeddings.  

RAG. The system searches the vector database relevant to the prompt to prevent hallucinations and provide updated information.

Transformers. The core AI architecture that uses vectors to make a prediction about which token to generate next for the prompt.  

From Boredom to Flow

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A comfortable routine can turn on us, leaving our creativity stifled, dulling us to other possibilities. Lethargic and sleepwalking through life, boredom soon arrives. At the other end of the spectrum, we have those bungee-jumping thrill-seeking people. Tired of sexual escapades, gambling, and rock climbing, they might self-medicate to starve off the tedium. Then there are drugs that can stimulate many feelings: euphoria, depression, anxiety and even fear. In each case, the goal is to stimulate the brain’s dopamine reward pathway.

Psychologists tell us that the cure for chronic tedium is not to switch to constant high-sensation thrills. There is a sweet spot between boredom and anxiety called flow. As Dr. Richard Friedman writes:

“Flow happens when a person’s skills and talent perfectly match the challenge of an activity: playing in the zone, where there is total and unself-conscious absorption in the activity. Make the task too challenging and anxiety results; make it too easy and boredom emerges. Flow gets to the heart of fun. It’s not hard to see why the enforced tranquility of a Caribbean vacation could be a dreadful bore for a workaholic but bliss for a couch potato: temperament, as well as talent, must match the activity.”

Hurting from Loss

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Love anything that lives—a person, a pet, a plant—and it will die. Trust anybody and you may be hurt; depend on anyone and that one may let you down. The price of cathexis (letting something or someone become important to us) is pain. If someone is determined not to risk pain, then such a person must do without many things: having children, getting married, the ecstasy of sex, the hope of ambition, friendship - all that makes life alive, meaningful and significant.

Move out or grow in any dimension and pain as well as joy will be your reward. A full life will be full of pain. But the only alternative is not to live fully or not to live at all. The attempt to avoid legitimate suffering lies at the root of all emotional illness.

M Scott Peck, The Road Less Traveled

The pain you feel is a reminder that you are alive, living life. You’re not on the sidelines; you are in the game. Let it be a stepping stone instead of a stumbling block.

20 AI & Data Science articles from March 2026

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