@KemiBadenoch Parent' and parents' only decision. We refuce any government authority or influence or interference in family life. Drop the totalatarian control approach, leave people alone and do a real MP job.
@Khaledhzakariah It means we are stuck in the current tax levels unless work more than 5 days a week or much more hours. No consideration for the value of work below that. The promised, in the past to raise the untaxable limit to 20k instead of 12.57k, have they decided to stick to burnt taxlvl?
@ZiaYusufUK Don't tell me this is instead of raising the allowance to 20k instead of 12.57k!! Raising the take-home allowance is far more effective than a tax relief of over 40h.
@PolitlcsUK@Iromg@Telegraph This is probably a backtrack rather than a new thing. They were supposed to raise the allowence to 20k, that would be far more useful.
@Inevitablewest Except, unfortunately, when Reform's candidate is the one impossible to vote for (not for me atleast). Check candidates for Moortown, Leeds..verg disappointing.
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🚨 Stanford researchers just exposed a weird side effect of AI that almost nobody is talking about.
The paper is called “Artificial Hivemind.” And the core finding is unsettling.
As language models get better, they also start sounding more and more the same.
Not just within a single model. Across different models.
Researchers built a dataset called INFINITY-CHAT with 26,000 real open-ended questions things like creative writing, brainstorming, opinions, and advice. Questions where there isn’t a single correct answer.
In theory, these prompts should produce huge diversity.
But the opposite happened.
Two patterns showed up:
1) Intra-model repetition
The same model keeps producing very similar answers across runs.
2) Inter-model homogeneity
Completely different models generate strikingly similar responses.
In other words:
Instead of thousands of unique perspectives…
We’re getting the same few ideas recycled over and over.
The authors call this the “Artificial Hivemind.”
It happens because most frontier models are trained on similar data, optimized with similar reward models, and aligned using similar human feedback.
So even when you ask something open-ended like:
• “Write a poem about time”
• “Suggest creative startup ideas”
• “Give life advice”
Many models converge toward the same phrasing, metaphors, and reasoning patterns.
The scary implication isn’t about AI quality.
It’s about culture.
If billions of people rely on the same systems for ideas, writing, brainstorming, and thinking…
AI might slowly compress the diversity of human thought.
Not because it’s trying to.
But because the models themselves are drifting toward the same answers.
That’s the real risk the paper highlights.
Not that AI becomes smarter than humans.
But that everyone starts thinking like the same machine.
@HeimishHumor I believe you know it has to be in a walled city that existed since the time of Purim. So, you need an old enough city to qualify. I know Erbil in Kurdistan/Iraq - Iraq is one, there probably are some in Iran? Depends how old the walls are.
@visegrad24 This is a terribly wrong map in two different ways. First, it is Abbadan and second, it is on the border of Iraq, very close to the Persian Gulf. It is basically an oil export port towards the Gulf through an Iraqi-Iranian common water path to the Gulf.
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