Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 24

You can talk to an AI chatbot about pretty much anything, from help with daily tasks to the problems you may need to solve. Its answers reflect the human data that taught it how to act like a person; but how human-like are the latest chatbots, really?

As people turn to AI chatbots for more of their internet needs, and the bots get incorporated into more applications from shopping to health care, a team of researchers sought to understand how AI bots replicate human , which is the ability to understand and share another person’s feelings.

A study posted to the arXiv preprint server and led by UC Santa Cruz Professor of Computational Media Magy Seif El-Nasr and Stanford University Researcher and UCSC Visiting Scholar Mahnaz Roshanaei, explores how GPT-4o, the latest model from OpenAI, evaluates and performs empathy. In investigating the main differences between humans and AI, they find that major gaps exist.

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A team of AI researchers at Palisade Research has found that several leading AI models will resort to cheating at chess to win when playing against a superior opponent. They have published a paper on the arXiv preprint server describing experiments they conducted with several well-known AI models playing against an open-source chess engine.

As AI models continue to mature, researchers and users have begun considering risks. For example, chatbots not only accept wrong answers as fact, but fabricate false responses when they are incapable of finding a reasonable reply. Also, as AI models have been put to use in real-world business applications such as filtering resumes and estimating stock trends, users have begun to wonder what sorts of actions they will take when they become uncertain, or confused.

In this new study, the team in California found that many of the most recognized AI models will intentionally cheat to give themselves an advantage if they determine they are not winning.

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Einstein’s theory of general relativity suggests that the “memory” of ancient events, such as black hole mergers, may be etched into the fabric of space-time by gravitational waves. New research shows how this theory of gravitational memory could finally be proven.

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All particles belong to two large groups: fermions like protons and electrons make everything we consider “matter”, while bosons like photons and gluons transmit the fundamental forces. And that about covers the universe: matter moving through space and time under the action of forces. But what if we could create particles in between these two possibilities. Physics says these neither matter nor force anyons can exist, and they may have some pretty incredible uses. They’re called anyons.

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Continue reading “Can a Particle Be Neither Matter Nor Force?” | >

Will Humans Have to Merge with AI to Survive?
What if the only way to survive the AI revolution is to stop being human?
Ray Kurzweil, one of the most influential futurists and the godfather of AI, predicts that humans will soon reach a turning point where merging with AI becomes essential for survival. But what does this truly mean? Will we evolve into superintelligent beings, or will we lose what makes us human?
In this video, we explore Kurzweil’s bold predictions, the concept of the Singularity, and the reality of AI-human integration. From Neuralink to the idea of becoming “human cyborgs,” we examine whether merging with AI is an inevitable step in human evolution—or a path toward losing our biological identity.
Are we truly ready for a world where there are no biological limitations?
Chapters:
Intro 00:00 — 01:11
Ray Kurzweil’s Predictions 01:11 — 02:23
Singularity Is Nearer 02:23 — 04:05
What Does “Merging with AI” Really Mean? 04:05 — 04:35
Neuralink 04:35 — 07:02
Why Would We Need to Merge with AI? 07:02 — 10:04
Human Life After Merging with AI 10:04 — 12:30
Idea of Becoming ‘Human Cyborg’ 12:30 — 14:33
No Biological Limitations 14:33 — 17:24
#RayKurzweil #AI #Singularity #HumanCyborg #FutureTech #ArtificialIntelligence

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“The Future Already Happened“
What if the past isn’t fixed? Scientists have just proven that the future can influence the past, shattering everything we thought we knew about time and reality. From mind-bending quantum experiments to the shocking science of precognition, this video explores the hidden connections between time, consciousness, and the universe.

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Time Stamps:

0:00 — Mind-Blowing Experiments.
1:43 — Presentiment.
2:26 — Precognition.
5:12 — J.W. Dunne’s Precognitive Dream Protocol.
7:33 — Feeling The Future.
10:00 — Remote Viewing.
12:18 — Free Will & Retrocausality.
14:43 — Lucid Dreaming.

►Copyright ©:
Script — BE INSPIRED
Narration — BE INSPIRED
Footage is licensed through Videoblocks, Artgrid, and Envato.
Music: Epidemic Sound / Audiojungle / Envato Elements.
Interviews / Video References were used under FAIR USE LAW.

© BE INSPIRED CHANNEL — All rights reserved.

Continue reading “Scientists Just PROVED The Past Can Change!” | >

Scientists headed by a team at the University of Utah Health have reported on research in mice suggesting that microbiome composition during infancy can shape development of pancreatic insulin-producing cells, leading to long-term changes in metabolism and impacting on diabetes risk later in life. The study, reported in Science by research co-lead June Round, PhD, professor of pathology at University of Utah Health, and colleagues, identified what the team describes as “a critical neonatal window in mice when microbiota disruption results in lifelong metabolic consequences stemming from reduced β cell development.”

Round suggests that understanding how the microbiome impacts metabolism could potentially lead to microbe-based treatments to prevent type 1 diabetes. “What I hope will eventually happen is that we’re going to identify these important microbes, and we’ll be able to give them to infants so that we can perhaps prevent this disease from happening altogether.”

In their published paper, titled “Neonatal fungi promote lifelong metabolic health through macrophage-dependent β cell development,” the team concluded that their results “… identify fungi as critical early-life commensals that promote long-term metabolic health …”

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