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The Door That Opens to Another Universe: The True Science Behind SCP-4357 “Slimelord”

What if a simple apartment door in Boston opened into another universe?
SCP-4357, also known as “Slimelord,” is one of the strangest and most human anomalies ever recorded — a hyperspatial discontinuity leading to a world of intelligent slug-like beings with philosophy, humor, and heartbreak.

In this speculative science essay, we explore what SCP-4357 means for physics, biology, and the idea of consciousness itself. How could life evolve intelligence in a sulfur-rich world? Why do these beings mirror human culture so closely? And what happens when curiosity crosses the line into exploitation?

Join us as we break down the science, ethics, and wonder behind one of the SCP Foundation’s most thought-provoking entries.

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🌌 Because somewhere out there, even the slugs have opinions on Kant.

‘Playing to your strengths’ improves well-being in adult ADHD, new research shows

Adults with ADHD who recognize and regularly use their personal strengths report better well-being, improved quality of life and fewer mental health difficulties, according to a new international study.

During October’s ADHD Awareness Month, which this year focuses on “the many faces of ADHD,” researchers from the University of Bath, King’s College London, and Radboud University Medical Center in the Netherlands have delivered the first large-scale study to quantify psychological strengths in ADHD.

The study, published in Psychological Medicine, compared 200 adults with ADHD and 200 adults without ADHD on how much they identified with 25 positive traits—including creativity, humor, spontaneity and hyperfocus—defined by researchers as “things [they] do well or best.”

You’re Not Imagining It. People Actually Are Starting To Talk Like ChatGPT

Basically put, the researchers found that the more people use AIs, the more they tend to use the AIs’ favorite words in their own speech.

TechRadar’s Eric Hal Schwartz made a good point, though, that other examples of widely popular, technology-driven platforms have worked their way into commonly spoken English, such as saying “hashtag” before a word or phrase to hint at… well, almost anything.

Thank Twitter for that. When somebody would do so, it was almost always tongue-in-cheek and self aware. There was a nod to its own cringiness that meant the one saying it was in on the joke.

How does consciousness work? Duelling scientists tested two big theories but found no winner

“Theories are like toothbrushes,” it’s sometimes said. “Everybody has their own and nobody wants to use anybody else’s.”

It’s a joke, but when it comes to the study of consciousness – the question of how we have a subjective experience of anything at all – it’s not too far from the truth.

In 2022, British neuroscientist Anil Seth and I published a review listing 22 theories based in the biology of the brain. In 2024, operating with a less restrictive scope, US public intellectual Robert Kuhn counted more than 200.

Aging will be cured within 20 years

Lately, there’s been growing pushback against the idea that AI will transform geroscience in the short term.
When Nobel laureate Demis Hassabis told 60 Minutes that AI could help cure every disease within 5–10 years, many in the longevity and biotech communities scoffed. Leading aging biologists called it wishful thinking — or outright fantasy.
They argue that we still lack crucial biological data to train AI models, and that experiments and clinical trials move too slowly to change the timeline.

Our guest in this episode, Professor Derya Unutmaz, knows these objections well. But he’s firmly on Team Hassabis.
In fact, Unutmaz goes even further. He says we won’t just cure diseases — we’ll solve aging itself within the next 20 years.

And best of all, he offers a surprisingly detailed, concrete explanation of how it will happen:
building virtual cells, modeling entire biological systems in silico, and dramatically accelerating drug discovery — powered by next-generation AI reasoning engines.

🧬 In this wide-ranging conversation, we also cover:

✅ Why biological complexity is no longer an unsolvable barrier.
✅ How digital twins could revolutionize diagnosis and treatment.
✅ Why clinical trials as we know them may soon collapse.
✅ The accelerating timeline toward longevity escape velocity.
✅ How reasoning AIs (like GPT-4o, o1, DeepSeek) are changing scientific research.
✅ Whether AI creativity challenges the idea that only biological minds can create.
✅ Why AI will force a new culture of leisure, curiosity, and human flourishing.
✅ The existential stress that will come as AI outperforms human expertise.
✅ Why “Don’t die” is no longer a joke — it’s real advice.

🎙️ Hosted — as always — by Peter Ottsjö (tech journalist and author of Evigt Ung) and Dr. Patrick Linden (philosopher and author of The Case Against Death).

An AI Chemist Made A Catalyst to Make Oxygen On Mars Using Local Materials

Breaking oxygen out of a water molecule is a relatively simple process, at least chemically. Even so, it does require components, one of the most important of which is a catalyst. Catalysts enable reactions and are linearly scalable, so if you want more reactions quickly, you need a bigger catalyst. In space exploration, bigger means heavier, which translates into more expensive. So, when humanity is looking for a catalyst to split water into oxygen and hydrogen on Mars, creating one from local Martian materials would be worthwhile. That is precisely what a team from Hefei, China, did by using what they called an “AI Chemist.”

Unfortunately, the name “AIChemist” didn’t stick, though that joke might vary depending on the font you read it in. Whatever its name, the team’s work was some serious science. It specifically applied machine learning algorithms that have become all the rage lately to selecting an effective catalyst for an “oxygen evolution reaction” by utilizing materials native to Mars.

To say it only chose the catalyst isn’t giving the system the full credit it’s due, though. It accomplished a series of steps, including developing a catalyst formula, pretreating the ore to create the catalyst, synthesizing it, and testing it once it was complete. The authors estimate that the automated process saved over 2,000 years of human labor by completing all of these tasks and point to the exceptional results of the testing to prove it.

Overthinking what you said? It’s your ‘lizard brain’ talking to newer, advanced parts of your brain

We’ve all been there. Moments after leaving a party, your brain is suddenly filled with intrusive thoughts about what others were thinking. “Did they think I talked too much?” “Did my joke offend them?” “Were they having a good time?”

In a new Northwestern Medicine study, scientists sought to better understand how humans evolved to become so skilled at thinking about what’s happening in other peoples’ minds. The findings could have implications for one day treating such as anxiety and depression.

“We spend a lot of time wondering, ‘What is that person feeling, thinking? Did I say something to upset them?’” said senior author Rodrigo Braga. “The parts of the brain that allow us to do this are in regions of the human brain that have expanded recently in our evolution, and that implies that it’s a recently developed process. In essence, you’re putting yourself in someone else’s mind and making inferences about what that person is thinking when you cannot really know.”

America’s Particle Physics Plan Spans the Globe — and the Cosmos

RALEIGH, N.C. — Particle physicist Hitoshi Murayama admits that he used to worry about being known as the “most hated man” in his field of science. But the good news is that now he can joke about it.

Last year, the Berkeley professor chaired the Particle Physics Project Prioritization Panel, or P5, which drew up a list of multimillion-dollar physics experiments that should move ahead over the next 10 years. The list focused on phenomena ranging from subatomic smash-ups to cosmic inflation. At the same time, the panel also had to decide which projects would have to be left behind for budgetary reasons, which could have turned Murayama into the Dr. No of physics.

Although Murayama has some regrets about the projects that were put off, he’s satisfied with how the process turned out. Now he’s just hoping that the federal government will follow through on the P5’s top priorities.

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