Addressing TCE Discovery Challenges with Expert Insights T-cell engagers (TCEs) are revolutionizing cancer immunotherapy, but their discovery remains compl | Ebooks
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SCP-239: The Child Who Can Rewrite Reality | The Science and Ethics of a Sleeping God
Can a child’s imagination alter the laws of physics? In this speculative science essay, we explore SCP-239, “The Witch Child” — a sleeping eight-year-old whose mind can reshape matter, rewrite probability, and collapse reality itself.
We examine how the SCP Foundation’s containment procedures—from telekill alloys to induced comas—reflect humanity’s struggle to contain a consciousness powerful enough to bend the universe. Through philosophy, ethics, and quantum speculation, this essay asks:
What happens when belief becomes a force of nature?
🎓 About the Series.
This video is part of our Speculative Science series, where we analyze anomalous phenomena through physics, cognitive science, and ethics.
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Should SCP-239 remain asleep forever, or does humanity have a moral duty to understand her?
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Nvidia to invest in Elon Musk’s xAI as part of $20 billion fundraising: Report
Elon Musk’s AI firm xAI is planning a massive fundraising effort. The company aims to secure around $20 billion. This includes a significant equity investment from chip giant Nvidia. The deal structure involves Nvidia processors being rented out for five years. This innovative approach could set a new trend for tech financing.
Why AI Companies Are Racing to Build a Virtual Human Cell
Virtual cells could make it faster and easier to discover new drugs. They could also give insight into how cancer cells evade the immune system, or how an individual patient might respond to a given therapy. They might even help basic scientists come up with hypotheses about how cells work that can steer them toward what experiments to do with real cells. “The overall goal here,” Quake says, “is to try to turn cell biology from a field that’s 90% experimental and 10% computational to the other way around.”
Some scientists question how useful predictions made by AI will be, if the AI can’t provide an explanation for them. “The AI models, normally, are a black box,” says Erick Armingol, a systems biologist and post-doctoral researcher at the Wellcome Sanger Institute in the U.K. In other words, they give you an answer, but they can’t tell you why they gave you that answer.
Scientists build artificial neurons that work like real ones
There are a wide range of applications for Fu and Yao’s new neuron, from redesigning computers along bio-inspired, and far more efficient principles, to electronic devices that could speak to our bodies directly.
“We currently have all kinds of wearable electronic sensing systems,” says Yao, “but they are comparatively clunky and inefficient. Every time they sense a signal from our body, they have to electrically amplify it so that a computer can analyze it. That intermediate step of amplification increases both power consumption and the circuit’s complexity, but sensors built with our low-voltage neurons could do without any amplification at all.”
The secret ingredient in the team’s new low-powered neuron is a protein nanowire synthesized from the remarkable bacteria Geobacter sulfurreducens, which also has the superpower of producing electricity. Yao, along with various colleagues, have used the bacteria’s protein nanowires to design a whole host of extraordinary efficient devices: a biofilm, powered by sweat, that can power personal electronics; an “electronic nose” that can sniff out disease; and a device, which can be built of nearly anything, that can harvest electricity from thin air itself.