Despite being one of the loudest proponents of the UK's mRNA injection rollout, Dr. Hilary Jones was recently diagnosed with pericarditis, an infamous side effect of the very injections he pushed so shamelessly.

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😋 Remember Eat Out To Help Out?

💸 Well this should be called, Use Cash To Help Out

🇬🇧 #SaveOurPubs #UseMoreCash

https://www.telegraph.co.uk/news/2026/02/01/pub-offers-cash-only-discount-to-avoid-rising-card-fees/

MRNA Vaccines Were Guaranteed To Fail... But We Went With It Anyway

🚨NEWS : Orwellian live facial recognition cameras have been installed at London Bridge station.

▶️WATCH: https://youtube.com/shorts/3ESAZKTk8_s

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British Transport Police now rolling out 'Live Facial Recognition' across London.

They say there is absolutely no reason to believe this is an invasion of privacy...

‼️English MP Rupert Lowe believes the British state has become the enemy of the British people

"Most of them are members of the Fabian Society."

"And that is ideologically driven... They want a dependency culture. They don't want a thriving, independent, self-reliant state."

"The government that we've got wants to encourage this welfarism as a way of effectively controlling the British people."

"Covid was a really disappointing lesson in how meek and mild the British people are, but I think they've got to start growing a bit of backbone... otherwise they're going to lose the country that we all dearly love."

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Video by longliveai
ChatGPT was prompted to recreate the exact same image 200 times with zero changes.

At first, the results stay close to the original. But with each generation, small errors in faces, proportions, lighting, and identity begin to stack up.

By the end, the output has drifted so far that it turns into entirely different people.

This happens because the model is not copying pixels. Each image is a fresh reinterpretation based on patterns it learned previously.

When those reinterpretations are repeatedly fed back into the system, the noise compounds instead of correcting itself.

Researchers call this phenomenon model collapse.

It’s a real example of what happens when an AI trains on its own outputs instead of fresh, diverse real-world data.

Accuracy breaks down, structure erodes, and the system spirals into something it was never intended to produce.

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