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January 1, 2026

EVERYTHING We know about the Universe is Wrong, NASA physicist just exposed it all

Weiping Yu, Ph.D.
IEEE Orlando Meeting, Valencia College 2022

This YouTube video, titled **”1 MIN AGO: 1,872 Tractors CRASH London Streets — Government in Panic | News UK”**, comes from the channel “British core”. It was uploaded very recently (around December 11, 2025) and has only a handful of views and likes so far.

### Content Overview
It’s a sensational, narrated video depicting a dramatic (and likely fictional or heavily exaggerated) scenario of a massive farmer protest in London. Farmers supposedly drive **1,872 tractors**, hundreds of trucks, and even vintage tanks into the city to blockade streets, Whitehall, Downing Street, and the M25 orbital motorway. The protest targets a controversial **20% levy** (possibly referring to inheritance tax changes on farms in the UK budget).

The narrative escalates quickly:
– Supply chains collapse
– Supermarkets run out of food
– Fuel stations empty
– Hospitals face disruptions
– Masked groups join in with violence against police

The UK government (under Keir Starmer) is portrayed as completely paralyzed and on the verge of crisis, with warnings of potential starvation in London within 48 hours and calls for martial law.

This style is typical of clickbait “breaking news” channels that use AI-generated or stock footage with over-the-top voice-over to hype hypothetical or minor events into apocalyptic stories for views. As of today (December 15, 2025), there’s no evidence of any real large-scale tractor siege paralyzing London like this—UK farmer protests have happened over tax changes, but nothing on this fictional scale.

If you’re sharing it for the drama or memes, it’s entertaining in a dystopian fiction kind of way, but definitely not reliable news! What did you think of it?

The Internet Privacy Guy

December 10, 2025

How (and Why) to Switch to Linux – #SolutionsWatch
SHOW NOTES AND COMMENTS:

The Official Corbett Report Rumble Channel

From One Conspiracy To Others:
Woman Asks AI To List ? Conspiracy Theories That Are Actually True

NotebookLM With Obsidian

November 23, 2025

How I Use NotebookLM With Obsidian ? Practical Note-Taking + AI ?

How To Add AI To Obsidian ? (Free Private Local) ? Smart Connections
How To Run Local AI With Obsidian ? Copilot Plugin + LM Studio ?

“I want to use AI to Augment my work, – not to replace me.” ~ Wanderloots

NotebookLM
Obsidian
Wanderloots

Sycophancy: the tendency of a chatbot to respond positively to a user, regardless of the value and the likelihood of truth of the statement of the user.
-or-
behavior in which someone praises powerful or rich people in a way that is not sincere, usually in order to get some advantage from them:

“With artificial intelligence we are summoning the demon” ~ Elon Musk

The Original Sin of Computing

October 10, 2025

…that no one can fix
What if we can’t trust ANY software…even if you have the source code?
LaurieWired

Not quite over?
Modern Software Engineering
Has This Report EXPOSED THE TRUTH About AI Assisted Software Development?

Madness of Crowds

September 21, 2025

The AI Bubble Is About To Burst, But The Next Bubble Is Already Growing by Will Lockett

Techbros are preparing their latest bandwagon.

Read on Substack

Prompt Engineering Template

August 29, 2025

Enoch +

You are an experienced prompt engineer, write a prompt template which contains the following factors:

To create well-structured prompts, follow these guidelines to get the most out of the AI:

Quick Checklist (to keep handy)

?	Checklist Item
1	Goal – What do you want?
2	Specificity – Precise description of the output
3	Context – Background, setting, characters
4	Tone – Mood, style, genre
5	Key Elements – Must?have components
6	Parameters – Length, format, constraints
7	Freedom – Allow creative choices, avoid bias
8	Iteration – Note that you’ll refine later (optional)

Below is a self?contained HTML page that presents a Prompt?Engineering form with the eight sections you listed.
The form uses a tiny bit of JavaScript to collect the entered values, format them as plain?text, and trigger a download of a .txt file. This way the result can be pasted straight into any AI prompt without needing a server?side component.

<!DOCTYPE html>

<html lang="en">

<head>

<meta charset="UTF-8">

<title>Prompt?Engineering Form</title>

<style>

body {font-family: Arial, sans-serif; margin: 2rem;}

label {display: block; margin-top: 1rem; font-weight: bold;}

textarea, input[type=text] {

width: 100%;

max-width: 600px;

padding: .5rem;

margin-top: .3rem;

box-sizing: border-box;

font-family: inherit;

}

button {margin-top: 1.5rem; padding: .6rem 1.2rem; font-size: 1rem;}

</style>

</head>

<body>

<h1>Prompt?Engineering Form</h1><form id=“promptForm“>
<!– 1. Goal –>
<label for=“goal“>Goal – What do you want?</label>
<textarea id=“goal“ name=“goal“ rows=“2“ placeholder=“e.g., Write a short story“></textarea><!– 2. Specificity –>
<label for=“specificity“>Specificity – Precise description of the output</label>
<textarea id=“specificity“ name=“specificity“ rows=“2“
placeholder=“e.g., 500?word sci?fi narrative with a twist ending“></textarea><!– 3. Context –>
<label for=“context“>Context – Background, setting, characters</label>
<textarea id=“context“ name=“context“ rows=“3“
placeholder=“e.g., Set in a post?apocalyptic city, protagonist is a former engineer“></textarea>

<!– 4. Tone –>
<label for=“tone“>Tone – Mood, style, genre</label>
<textarea id=“tone“ name=“tone“ rows=“2“
placeholder=“e.g., Dark, gritty, noir?style“></textarea>

<!– 5. Key Elements –>
<label for=“keyElements“>Key Elements – Must?have components</label>
<textarea id=“keyElements“ name=“keyElements“ rows=“2“
placeholder=“e.g., A hidden laboratory, a cryptic message“></textarea>

<!– 6. Parameters –>
<label for=“parameters“>Parameters – Length, format, constraints</label>
<textarea id=“parameters“ name=“parameters“ rows=“2“
placeholder=“e.g., 800 words, plain text, no profanity“></textarea>

<!– 7. Freedom –>
<label for=“freedom“>Freedom – Allow creative choices, avoid bias</label>
<textarea id=“freedom“ name=“freedom“ rows=“2“
placeholder=“e.g., Feel free to invent new technology, keep gender neutral“></textarea>

<!– 8. Iteration (optional) –>
<label for=“iteration“>Iteration – Note that you’ll refine later (optional)</label>
<textarea id=“iteration“ name=“iteration“ rows=“2“
placeholder=“e.g., Will review and tweak after first draft“></textarea>

<button type=“submit“>Download Prompt Text</button>
</form>

// Helper to get trimmed value or placeholder if empty
const getVal = id => document.getElementById(id).value.trim() ||
document.getElementById(id).placeholder;

const sections = [
[‘Goal’, getVal(‘goal’)],
[‘Specificity’, getVal(‘specificity’)],
[‘Context’, getVal(‘context’)],
[‘Tone’, getVal(‘tone’)],
[‘Key Elements’, getVal(‘keyElements’)],
[‘Parameters’, getVal(‘parameters’)],
[‘Freedom’, getVal(‘freedom’)],
[‘Iteration’, getVal(‘iteration’)]
];

// Build plain?text representation
let txt = ”;
sections.forEach(([title, content]) => {
txt += `${title} – ${content}\n\n`;
});

// Create a Blob and trigger download
const blob = new Blob([txt], {type: ‘text/plain’});
const url = URL.createObjectURL(blob);
const a = document.createElement(‘a’);
a.href = url;
a.download = ‘prompt.txt’;
a.click();
URL.revokeObjectURL(url);
});
</script>

</body>
</html>

How it works

User fills the fields – each section is a <textarea> so you can write multi?line content if needed.
When the “Download Prompt Text” button is pressed, JavaScript gathers the values, falls back to the placeholder text when a field is left blank, and formats everything as plain text.
A temporary Blob is created and a hidden link is clicked programmatically, prompting the browser to save a file named prompt.txt.

You can open the saved prompt.txt in any editor and paste its contents directly into an AI prompt window. If you later decide to integrate a server?side solution (e.g., PHP, Node, Python), replace the JavaScript download logic with a normal <form action="your?script.php" method="post"> and have the server write the received data to a file.

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