Don's Artificial Intelligence (AI) Summary Thoughts

This page is from certain parts of my Family Tree data for the accelerating pace of AI capabilities, where questions, thoughts & ideas are shared—view a current YouTube commentary on the near future?

The classic 1984 Terminator movie shows how disastrous a mechanical AGI device could be—today's 8+billion people do not wish for this to happen yet some apparently do, very sadly…

Many AI-enhanced devices exist today to help our everyday lives, such as Elon Musk's Tesla cars, trucks & his human-like robots, the multitude of general manufacturing devices, Amazon's Alexa devices (where I own 3 units for news, music, alerts, etc) & the upcoming hospital surgery devices with many, many more

Mechanical machines have existed for many centuries without computing power, such as Archimedes' water control screw from around 300BCE & one of the many things created by Leonardo da Vinci, the anamorphosis which was an early tool for the angle of contingence created around 1530

The concepts of AI have been around for a while, starting out with Alan Turing publishing Computer Machinery & Intelligence in 1950 at the Manchester University in England that describes the following thoughts…
    1) To pass the Turing Test, a machine has to be able to hold a natural language dialogue with a person, & know
         enough to not make a fool of itself while doing so! Also, view the test on the WiKi page?

    2) For it to pass as a human it has to exhibit dozens of incorrect replies that are predictable reasoning,
         what is known as Translogical Reasoning

    3) Yet, is it desirable to build such foibles into our programs?
         In short, we need to unravel several issues that are often tangled up together…
            a) How could we get a machine to pass the Turing Test?
            b) What should we get the machine to do (or not do)?
            c) And others like that…

I caught a YouTube discussion from April, 2024 a few months back with Demis Hassabis, the CEO of Google's DeepMind Technologies describing how fast AGI has evolved over the last 20 years…

IBM's Deep Blue computing code was developed in the early 1990's & did something that no machine had done before… in February, 1996 it took on the reigning global Chess champion, Garry Kasparov (who is a Russian) in Philadelphia, USA. Deep Blue won the first game, which marked the first victory by a computer against a reigning world champion under regular time controls. But Kasparov recovered & won the match 4–2

With the eyes of the world media upon them, an updated Deep Blue program again squared off against Kasparov in May of 1997, this time at the Equitable Center in New York. The rematch was widely seen as a symbolic test of whether supercomputers were catching up to human intelligence… Kasparov won the first game, Deep Blue took the next. The following three games were played to a draw but Deep Blue prevailed in the tension-filled Game 6, thereby achieving a resounding victory, 3.5–2.5, in the rematch & becoming the first computer system to defeat a reigning world champion under standard tournament time controls! I do seem to remember watching that match on TV, with Demis cheering loudly… that may not be the case, as I failed to find a link to share !!

Demis did work in the computer development world of Chess (as did Alan Turing) & he went on to lead the deployment of the stunning AI success in 2016 of winning at the game Go, as well as releasing to the world in 2024 the results of his team of scientists who (with AI) predicted the structures of almost all known proteins after creating the AlphaFold2 tool; this is also shown on WiKi

My curiosity for this techno-world has taken me to several PC apps (& on my iPhone/iPad) that I’ll break down here… While none of these apps are particularly expensive, OpenAI is the one I've preferred & am using today with the free version. A page sharing some of these links can also be viewed here: AI web pages

I asked each of these 5 apps "How can I improve my knowledge of devices like yours?"
Here are the responses… 1st is the OpenAI app (click to view the summary?) which brings up the ChatGPT page, 2nd is DeepSeek from China, 3rd is Gemini from Google, 4th is CoPilot, a Microsoft app & finally Grok, owned by xAI (Elon Musk)… While each of these responded quite well, the best remains with OpenAI

Here's a breakdown of each key area of AI with resources & explanations from OpenAI so you can dive deeper into AI devices like ChatGPT & SearchGPT; some links are sadly stale & will open in error…

1. AI Development: Understanding how models like ChatGPT are built, trained, & improved
Key concepts to learn (copy to your browser to view?)
    • Transformer Architecture – The backbone of modern AI (like GPT-4)
    • Pre-training vs. Fine-tuning – How AI learns from massive datasets & adapts to tasks
    • Neural Networks & Deep Learning – The fundamentals of AI model training
    • Reinforcement Learning from Human Feedback (RLHF) – How models like ChatGPT improve responses
Resources
> Read
    • "Attention Is All You Need" - A Transformer Paper
    • OpenAI's GPT-4 Technical Report
    • Hugging Face Course - Deep Learning Basics
> Watch
    • DeepLearning.AI YouTube - An Intro to AI & LLMs
    • Jay Alammar's Visual Guide to Transformers
> Try
    • Google Colab – Free AI Model Testing
    • OpenAI API – Experiment with AI Models
    • Hugging Face – Play with Open-Source Models

2. Practical Applications: Exploring how AI like ChatGPT & SearchGPT are used in real-world scenarios
Common Applications (copy to your browser to view?)
    • Search & Information Retrieval – SearchGPT enhances web browsing by integrating AI
    • Chatbots & Virtual Assistants – AI helps in customer service (e.g., ChatGPT, Google Gemini)
    • Content Creation – AI writes articles, generates code, & creates images (DALL·E, Midjourney)
    • Automation & Productivity – AI automates emails, summarization, & data analysis
Resources
    • How AI Powers Google Search - Using BERT & MUM
    • Microsoft's Bing AI Overview
    • AI for Business – Harvard Business Review
> Watch
    • AI in Search (Google DeepMind)
    • How Chatbots Work (Computerphile)
> Try
    • ChatGPT Plugins & SearchGPT
    • Google Bard (AI-Powered Search)
    • AI Tools for Writing & Coding

3. Ethical Considerations: AI comes with challenges related to fairness, bias, misinformation, & responsible use
Key Issues (copy to your browser to view?)
    • Bias & Fairness – AI can reinforce biases from training data
    • Misinformation – ChatGPT can generate inaccurate or misleading content
    • Privacy & Security – AI must protect user data & prevent misuse
    • Job Automation – AI is changing industries, raising concerns about job displacement
Resources
> Read
    • AI Ethics Guidelines – OpenAI
    • The Alignment Problem – Brian Christian (Book)
    • AI Bias in Large Models – MIT Technology Review
> Watch
    • AI Bias & Ethics Explained (Veritasium)
    • The Risks of AI (Lex Fridman & Sam Altman)
> Explore
    • AI Fairness Toolkit (Google)
    • AI Alignment Research (OpenAI)

Here's another list to help deepen your understanding of AI devices
1. Beginner-Friendly AI Overviews
YouTube Channels:
    • Two Minute Papers – Short AI research summaries
    • ColdFusion – AI history & impact
    • Fireship – Fast, engaging AI explanations
Articles & Blogs:
    • OpenAI Blog – Research updates & new AI advancements
    • DeepLearning.AI – Weekly AI newsletter
    • Google AI Blog – Insights from Google's AI team

2. Understanding How AI Works
Courses:
    • Elements of AI – Free introduction to AI concepts
    • Fast.ai – Practical deep learning with real-world examples
    • Coursera – AI For Everyone – Simplified AI concepts by Andrew Ng
Books: (copy to your browser to view?)
    • Artificial Intelligence: A Guide for Thinking Humans – Melanie Mitchell (Great for non-experts)
    • You Look Like a Thing & I Love You – Janelle Shane (Fun, humorous AI explanations)
    • The Alignment Problem – Brian Christian (Ethical challenges in AI)

3. Experimenting with AI
Try Different AI Models:
    • OpenAI's ChatGPT
    • Google's Gemini
    • Anthropic's Claude
Hands-on AI Tools:
    • OpenAI API – Experiment with AI-generated text
    • Hugging Face – Try AI models for different tasks
    • Kaggle – Free datasets & coding exercises

4. Staying Up-to-Date
Podcasts:
    • The AI Alignment Podcast – Discusses AI's future & safety
    • Hard Fork – Covers AI's impact on society
    • Lex Fridman – AI discussions with top researchers

Another list: the best AI app depends on what you want to do, such as writing, creating images, or improving your productivity [1]

Here are some of the top AI apps (copy to your browser to view?)…
  ChatGPT: A popular chatbot that can help with writing, coding, & customer care [2, 3]
  Grammarly: Improves writing by checking grammar, suggesting style, & adjusting tone [2]
  starryai: Generates art from text descriptions [2]
  ELSA Speak: Helps with language learning & pronunciation [2]
  Google Assistant: A virtual assistant that can perform internet searches & control other devices [4]
  Runway: An AI video generator that creates videos based on prompts [5]
  ElevenLabs: An AI voice generator that offers many voice options & control over voice style & tone [5]
  Rytr: An AI writing generator that offers affordable upgrades for AI content [5]
  Arc Search: An AI search tool that summarizes source content into structured answers [6]
  Databutton: An AI app builder that offers transparent AI thought processes & the ability to create multiple conversation threads [7]

Generative AI is experimental, links are [1] the 50 best AI tools / [2] 7 of the best AI apps / [3] top 10 AI apps / [4] 33 AI apps / [5] best free AI tools / [6] best AI productivity tools / [7] 6 best AI app builders

Other AI apps include:
  Synthesia: An AI tool for video generation & editing
  Fathom: A notetaker & meeting assistant
  Deep Research: An AI tool for research
  Midjourney: An AI tool for image generation
  Canva Magic Studio: An AI tool for graphic design

As a close to this page, a guy named Doug Lenat (RIP, died in 2023) was one the leading computer science & AI experts in the world who created the CYC common sense knowledge base & inference system

He was working before his death with Bill Gates to establish the Microsoft Research Labs & was the only person to have served on the technical advisory boards of both Apple & Microsoft. He also received the bi-annual IJCAI Computers & Thought Award (scroll down) in 1997 – the highest honor in Artificial Intelligence & was named the as first Fellow of the American Association of Artificial Intelligence (AAAI) & named as a Fellow of the American Association for the Advancement of Science (AAAS)

Feel free to share your thoughts, comments or criticisms etc via eMail?
Also feel free to visit my Website structure page to view the many pages I created?
Cheers!
Regards, Don Shave

Some relevant advisories:
    (1) My family tree data is All Rights Reserved © April/1988 – date Don Shave
    (2) My Copyrighted (©) web pages do not hold any Fake data, nor are they using any AI enhancements
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Created in March, 2025 & last updated in March, 2025
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