Index
Every article on GoJumboGPT
150 explainers in 29 topic hubs.
Artificial intelligence, explained in plain English
AI basics: what it is and how it got here
- What is artificial intelligence? A plain English definition
- Machine learning explained: how software learns from examples
- Neural networks explained: what is actually inside a model
- Where AI training data comes from and why it matters
- What AGI means, and why smart people disagree about it
- AI jargon decoded: 30 words you keep seeing explained
How language models work, from tokens to reasoning
- How a language model actually works: tokens and probability
- What tokens are and why they decide your AI bill
- Context windows: why an AI forgets the start of a long chat
- How an AI model is trained, from raw text to chatbot
- Reasoning models: what thinking before answering means
- Model size explained: do more parameters mean better answers?
- Temperature, top-p and the settings that change AI answers
- AI agents explained: when a chatbot starts taking actions
- RAG or fine tuning: which one does your use case need?
- Open weight AI models: what open really means here
Prompting: how to ask an AI and get a useful answer
- How to write a prompt that gets a usable answer
- Few shot prompting: giving the AI examples that work
- How to make an AI return the exact format you asked for
- Prompt chaining: splitting a big task into steps that work
- System prompts: the instructions you never see
- Nine prompt mistakes that ruin the answer you get back
- Build a prompt library you will actually reuse
When AI gets it wrong: hallucinations, bias and limits
- Why AI makes things up, and what a hallucination really is
- Why AI sounds certain when it is wrong
- Why an AI agrees with you even when you are wrong
- Made up sources: why AI invents books, cases and studies
- Knowledge cutoffs: why your AI does not know last week
- Why AI gets simple math wrong and when to trust it
- AI bias: where it comes from and where it shows up
- How to fact check an AI answer in five minutes
- Prompt injection: when a web page gives your AI new orders
AI at work: policies, tools and what to watch
- AI at work: what it is really used for right now
- Where AI actually saves time at work, and where it costs you
- Writing an AI policy your team will actually follow
- AI meeting notes: what to check before you trust the summary
- AI in hiring: what the screening software really does
- AI vendor contracts: the clauses to check before you sign
- AI coding assistants: what they are good at and where they bite
- AI for a small business: the four uses that actually pay
Online security and privacy, explained in plain English
Passwords: how to make them strong and keep track of them
- What makes a password strong: length beats complexity
- Passphrases: four random words and why they beat symbols
- Why reusing one password is the most expensive habit online
- Password managers explained: why one app holding everything is safer
- Passwords saved in your browser: good enough or a bad idea?
- How to check whether your password has already leaked
- Sharing a password without putting it in a message
Signing in safely: 2FA, passkeys and account recovery
- Two-factor authentication explained in plain English
- Setting up an authenticator app properly, including backups
- Passkeys explained: signing in with no password at all
- Face and fingerprint unlock: safer than a PIN, with caveats
- Account recovery: set it up before you need it
- Your email account is the master key: lock it properly
Scams: how they work and what to do if you fall for one
- Phishing explained: how fake messages get past smart people
- Scam texts and emails: the red flags that still work
- Bank impersonation: the safe account scam and how it works
- Phone scams: spoofed numbers, robocalls and pressure tactics
- Tech support scams: the fake virus warning and the fake refund
- Parcel scams: the fake delivery text and the small fee trick
- AI powered scams: what actually changed and what did not
- I clicked a phishing link: what to do in the next ten minutes
- I sent money to a scammer: the first hour matters most
The internet and your home network, explained in plain English
Tracking, cookies and what follows you around
- How web tracking works: cookies, pixels and fingerprints
- Cookie banners: what reject all actually does
- What a VPN does, and the three things it cannot do
- Public wifi in 2026: what is still risky and what is not
- Ad blockers and content blockers: what they really change
- What private browsing actually hides, and from whom