Lifeboat Foundation

The journal Nature published a groundbreaking new study by world-renowned Stanford neuroscientist Sergiu Pasca involving the transfer of human brain organoids into the brains of rats. Insoo Hyun, Director of the Center for Life Sciences and Public Learning at the Museum of Science, speaks candidly with Dr. Pasca about his research. Why did he do it? How might this uncover the mysteries of psychiatric disorders? And the Big Question we are all wondering about – can these rats ever develop “human-like” consciousness? Together they demystify the science.

00:33 Dr. Sergiu Pasca’s Romanian roots.
00:55 Why is Dr. Pasca’s work important for Psychiatry?
04:14 Dr. Pasca’s work with human brain organoids.
06:14 Challenges with using animal brains when trying to unlock mysteries of human psychiatric disorders.
07:13 Reason for Dr. Pasca’s latest research transplanting human brain organoids into rat brains.
08:47 How the human brain organoid transplantation into a rat brain is accomplished.
10:19 What Dr. Pasca learned from his experiment and its importance.
12:02 Brain cells’ amazing ability to take over and organize themselves in appropriate environments.
13:03 Will animals with human brain organoids in their brain develop human-like consciousness?
17:30 Will manipulating human neurons in a rat change the behavior of the rat?
19:43 Application of rat experiment findings for human patients.
22:07 The ethics and regulation of using animals in scientific research.
25:25 Why context matters in research of transplanting human brain organoids into rat brains and the challenge of people backfilling science they might not understand with mythology and science fiction.
32:28 Dr. Pasca’s inspiration to work so hard to unlock the mysteries of psychiatric disorders.

Continue reading “Using Human Brain Cells in Rats to Understand Psychiatric Disorders with Dr. Sergiu Pasca” »

Getty Images Two US high schoolers believe they have cracked a mathematical mystery left unproven for centuries. Calcea Johnson and Ne’Kiya Jackson looked at the Pythagorean theorem, foundational to trigonometry. The American Mathematical Society said the teenagers should submit their findings to a journal. Two high school seniors from New Orleans think they have managed to prove a 2,000-year-old theorem that has stumped mathematicians for centuries.

Pensions behave as government mandated ponzi schemes. New contributors are needed to pay for past contributors. But what if there are less and less new contributors and contributions? And what if past generations live longer and longer lives?

Limited time: get 5 free stocks when you sign up to moomoo and deposit $100 and 15 free stocks when you deposit $1,000. Use link https://j.moomoo.com/00iPZo.

Continue reading “The Impending Collapse of the French Economy” »

ChatGPT’s impact extends beyond the education sector and is causing significant changes in other areas. The AI language model is recognized for its ability to perform various tasks, including paper writing, translation, coding, and more, all through question-and-answer-based interactions.

The AI system relies on deep learning, which requires extensive training to minimize errors, resulting in frequent data transfers between memory and processors. However, traditional digital computer systems’ von Neumann architecture separates the storage and computation of information, resulting in increased power consumption and significant delays in AI computations. Researchers have developed semiconductor technologies suitable for AI applications to address this challenge.

A research team at POSTECH, led by Professor Yoonyoung Chung (Department of Electrical Engineering, Department of Semiconductor Engineering), Professor Seyoung Kim (Department of Materials Science and Engineering, Department of Semiconductor Engineering), and Ph.D. candidate Seongmin Park (Department of Electrical Engineering), has developed a high-performance AI semiconductor device using indium gallium zinc oxide (IGZO), an oxide semiconductor widely used in OLED displays.

Genetic Engineering extends far beyond the controversial news headlines that obsess over ‘designer babies’. In the science community, gene-editing tools like CRISPR and PRIME editing will do nothing less than save the planet.

The Rise Of Genetic Engineering (2022)
Writers: Kyle McCabe, Christopher Webb Young.
Stars: Rodolphe Barrangou, George Church, Mary Beth Dallas.
Genre: Documentary.
Country: United States.
Language: English.
Release Date: August 24, 2022 (United States)

Continue reading “The Rise Of Genetic Engineering | Gene-Editing | Documentary” »

A new, giant species of trapdoor spider has been discovered in Queensland, Australia, which researchers are describing as “rare” and “secretive.”

The species, Euoplos dignitas, was identified after four years of intensive fieldwork by researchers at Queensland Museum, following the discovery of an undescribed species in the museum’s collection.

“This species was first known from older specimens stored in the Queensland Museum collection, mostly collected in the early and mid-20th century,” Michael Rix, principal curator of arachnology at Queensland Museum, who led the study, told Newsweek.

TEMPO will study pollutants like asthma-inducing nitrogen dioxide and cancer-causing formaldehyde.

A new space instrument called TEMPO will target North America’s air pollution problem, and highlights one of its big challenges.

Continue reading “NASA and Other Agencies Have a New Pollution Eye in the Sky” »

😗 I am actually pretty happy about this because full automation will simply life rather than needing as much education the AI can do most of the work much like the star trek computer. Full automation will allow for more freedom even from common tasks allowing the AI to most of the thinking and tasks.

A senior developer tested GPT4 for programming. GPT4 gave the Terraform script code for a single instance of the Fargate API. GPT4 knows that the code will not scale to 10,000 requests per second. It then describes how to create an auto-scaling group and make the modifications to scale the code with AWS and configure the application load balancer.

Continue reading “GPT4 Can Replace Jobs” »

GPT-4 is here, and you’ve probably heard a good bit about it already. It’s a smarter, faster, more powerful engine for AI programs such as ChatGPT. It can turn a hand-sketched design into a functional website and help with your taxes. It got a 5 on the AP Art History test. There were already fears about AI coming for white-collar work, disrupting education, and so much else, and there was some healthy skepticism about those fears. So where does a more powerful AI leave us?

Perhaps overwhelmed or even tired, depending on your leanings. I feel both at once. It’s hard to argue that new large language models, or LLMs, aren’t a genuine engineering feat, and it’s exciting to experience advancements that feel magical, even if they’re just computational. But nonstop hype around a technology that is still nascent risks grinding people down because being constantly bombarded by promises of a future that will look very little like the past is both exhausting and unnerving. Any announcement of a technological achievement at the scale of OpenAI’s newest model inevitably sidesteps crucial questions—ones that simply don’t fit neatly into a demo video or blog post. What does the world look like when GPT-4 and similar models are embedded into everyday life? And how are we supposed to conceptualize these technologies at all when we’re still grappling with their still quite novel, but certainly less powerful, predecessors, including ChatGPT?

Over the past few weeks, I’ve put questions like these to AI researchers, academics, entrepreneurs, and people who are currently building AI applications. I’ve become obsessive about trying to wrap my head around this moment, because I’ve rarely felt less oriented toward a piece of technology than I do toward generative AI. When reading headlines and academic papers or simply stumbling into discussions between researchers or boosters on Twitter, even the near future of an AI-infused world feels like a mirage or an optical illusion. Conversations about AI quickly veer into unfocused territory and become kaleidoscopic, broad, and vague. How could they not?