| . | What are the REAL risks? Tom Evans, 4/15/26 |
I routinely read recommendations – don’t use AI for my medical records. Why? I have learned to depend on ChatGPT.
| . | What are the REAL risks? Tom Evans, 4/15/26 |
I routinely read recommendations – don’t use AI for my medical records. Why? I have learned to depend on ChatGPT.
| . | Statement from Dario Amodei on our discussions with the Department of War Feb 26, 2026 |
| . | The Association for Mathematical Consciousness Science (AMCS) is an international organization of researchers dedicated to applying formal, mathematical, and computational methods to the scientific study of consciousness. |
| . | Next to OpenAI’s GPT‑5, which I use most of the time, Microsoft Copilot is my preferred secondary AI assistant. Its greatest strength lies in its seamless integration into Windows 11 and the Microsoft ecosystem, making it highly convenient for productivity and everyday tasks. |
When comparing GPT‑5 and Copilot, I found both occasionally produced incorrect, incomplete, or misleading answers. Verifying and challenging those responses required effort and sometimes slowed down my workflow. This underscores an important reality: even advanced AI assistants are not infallible and must be used critically, especially in research and professional contexts.
| . | Successfully utilizing GPT-5, with its advanced reasoning and multi-modal capabilities, requires developing a range of skills: |
1. Prompt engineering
I found this hit
https://aishorty.com/articles/187ebb56-5970-4c48-8663-14d7d7af61b8
which gives the time stamp for various topics and this hit,
https://recapio.com/digest/25-things-you-didn-t-know-chatgpt-could-do-by-jake-dawson
which gives a summary transcript. Tom B.
| . | The Illusion of Privacy |
As children, we were subtly trained to see ourselves as the center of the universe.
Parents praised our every achievement, celebrated our uniqueness, and shielded us from uncomfortable truths.
In essence, they nurtured a mild form of narcissism — the belief that our story mattered more than anyone else’s.
Some of us eventually matured out of that illusion.
Others channeled it into careers where self-promotion is a survival skill — politics being a prime example.
| . | Your Personalized Complete GPT-5 Mastery Guide: To Dominate Open-AI in 2025 and Beyond |
Artificial intelligence stopped being science fiction the moment the idea of GPT-5 landing in our hands. This isn’t some distant tech dream. It’s actually happening right now, and people who get on board today will leave everyone else eating dust.
You don’t need a computer science degree or years of training. GPT-5 works for teachers, entrepreneurs, students, and anyone who wants to get stuff done faster. The difference between winners and losers in 2025? Winners learned how to make AI work for them.
This intro-guide cuts through a lot of the noise and shows you exactly how to use GPT-5 to transform your work, boost your income or understanding, and stay ahead of the pack. No fluff, no theory, just practical steps that get results.
Why GPT-5 Changes Everything for Regular People
Most people think AI is for tech nerds and big corporations. They’re F-ing wrong. GPT-5 puts world-class intelligence in your pocket, and it speaks plain English. Just understand that “GPT” means “general purpose tech” and “o-5” will be the “REASONING…
Here’s what makes GPT-5 different from everything that came before:
ChatGPT-5 is here — These are the most significant upgrades we need to know.
| . | The cost of AI is significantly decreasing, with expenses for running AI models dropping dramatically, making it more accessible for startups and smaller companies. This shift is leading to a new landscape where the question is no longer if companies can afford to use AI, but rather if they can afford not to use it. |
The AI cost collapse is changing what’s possible for startups
The hidden costs of AI: How generative models are reshaping corporate budgets
The cost of using AI has dramatically decreased over the past year. For instance, the cost of running 500 GPT-4 queries per user session has dropped from $5 to less than 50 cents.
OpenAI's token costs have fallen by 90%, making AI more accessible to smaller companies and startups.
Model Efficiency: Smaller AI models can now perform nearly as well as larger ones when trained effectively. This has led to reduced costs for companies developing AI solutions.
Self-Generating Training Data: Companies are now using existing models to create their own training data, cutting data costs by up to 90%.
Improved Inference: AI models have become more efficient, allowing them to run on less powerful hardware, such as laptops, rather than requiring high-end GPUs.
Despite current reductions, the average cost of computing is expected to rise by 89% between 2023 and 2025, primarily driven by the demand for generative AI.
Companies are exploring hybrid cloud architectures to manage rising costs effectively, ensuring they can scale AI without prohibitive expenses.
These trends indicate a complex landscape where AI costs are decreasing in some areas while rising in others, particularly regarding infrastructure and energy needs.
| . | Okay, I use all the prominent AI GPTs. Should I? Tom's Guide AI ran a comparison in basketball style. Which one won? |