Toggle light / dark theme

‘ChatGPT Does 80% Of My Job’ — How AI Enables People To Work Second And Third Jobs

Basically chat gpt can allow people that need to do more jobs can actually do several if not all jobs needed. Also essentially increase ones mental capacity and mental health due to that chat gpt can be almost like an external brain interface that can do nearly any job so that people can make even more money. Also people think this would replace people I believe it augments people like Ironman from marvel comics allowing to do tasks in seconds.#Ironman


A new breed of overemployed workers has emerged, turning to artificial intelligence (AI)-powered language models like ChatGPT to handle a significant portion of their job responsibilities.

“ChatGPT does like 80% of my job,” stated one worker, while another, currently holding down four robot-performed jobs, says, “Five would be overkill.”

As the popularity of AI-powered tools like ChatGPT continues to soar, concerns are growing about the impact on the global job market. With the potential for jobs to be automated and replaced by chatbots, experts are warning of a possible future where human workers become obsolete.

This Drug Could Potentially Prevent Alzheimer’s Disease

Link :


Clinical trials are underway for a drug that could potentially prevent Alzheimer’s long before it kicks in. Researchers from Washington University School of Medicine are studying the effects of an experimental antibody called remternetug.

The drug was developed by pharmaceutical giant Eli Lilly. It is designed for genetically predisposed people to develop Alzheimer’s and its study focuses on young people aged 18 and up.

Remternetug targets amyloid beta, a protein that forms plaque in the brain. The presence of plaque is one of the key hallmarks of Alzheimer’s disease. Other recently approved drugs, like donanemab, also target amyloid plaque, since that seems to be what you attack if you want to chip away at Alzheimer’s.

Time expansion experiences: why time slows down in altered states of consciousness

We all know that time seems to pass at different speeds in different situations. For example, time appears to go slowly when we travel to unfamiliar places. A week in a foreign country seems much longer than week at home.

Time also seems to pass slowly when we are bored, or in pain. It seems to speed up when we’re in a state of absorption, such as when we play music or chess, or paint or dance. More generally, most people report time seems to speed up as they get older.

However, these variations in time perception are quite mild. Our experience of time can change in a much more radical way. In my new book, I describe what I call “time expansion experiences” – in which seconds can stretch out into minutes.

‘AI Will Become Conscious’ — Top Neuroscientist on Artificial Intelligence and Consciousness

Moran Cerf disucssess why we dream, and goes deeper into explaining the different versions of the relevance of dreams in life.

FULL INTERVIEW — • moran cerf: neural implants, hacking…

ABOUT MORAN:
Prof. Moran Cerf is professor of business at Columbia business school. His academic research uses methods from neuroscience to understand the underlying mechanisms of our psychology, behavior changes, emotion, decisions, and dreams.

Learn More About Moran’s Work Here: https://www.morancerf.com.

Read more about my upcoming book here — https://throughconversations.substack

// Let’s Connect //

The Brain Emulation Challenge

This is a draft version of the Brain Emulation Challenge video.

This version is intended for an audience with some neuroscience background or interest.

This video is provided with the hope to generate useful critical feedback for improvements.

Why take the brain emulation challenge? Why take a challenge that is providing virtual brain data from generated neural tissue?

If your system identification and reconstruction method successfully discovers the neural circuit and translates its meaningful cognitive function, which was hidden in the data your method analyzed, and about which we know everything, for which we can verify and validate exactly how well the reconstructed result performs a specific function, then we have much stronger reason to believe claims about reconstructions and discovered function from unknown biological neural tissue.

It is a way to test qualitatively and quantitatively if a proposed method can indeed discover and extract what it is meant to find, establishing trust that it is able to deliver a specific and correct working model based on collected brain data.

Molecular switch reverses cancerous transformation at the critical moment of transition

Professor Kwang-Hyun Cho’s research team of the Department of Bio and Brain Engineering at KAIST has captured the critical transition phenomenon at the moment when normal cells change into cancer cells and analyzed it to discover a molecular switch hidden in the genetic network that can revert cancer cells back into normal cells.

The team’s findings are published in the journal Advanced Science.

A critical transition is a phenomenon in which a sudden change in state occurs at a specific point in time, like water changing into steam at 100℃. This critical transition phenomenon also occurs in the process in which change into at a specific point in time due to the accumulation of genetic and .

Gray matter study uncovers two neuroanatomically different OCD subtypes

Obsessive compulsive disorder (OCD) is a mental health disorder associated with persistent, intrusive thoughts (i.e., obsessions), accompanied by repetitive behaviors (i.e., compulsions) aimed at reducing the anxiety arising from obsessions. Past studies have showed that people diagnosed with OCD can present symptoms that vary significantly, as well as distinct brain abnormalities.

A team of researchers at the First Affiliated Hospital of Zhengzhou University recently carried out a study aimed at further exploring the well-documented differences among patients with OCD. Their findings, published in Translational Psychiatry, allowed them to identify two broad OCD subtypes, which are associated with different patterns in gray matter volumes and disease epicenters.

“OCD is a highly heterogeneous disorder, with notable variations among cases in structural brain abnormalities,” wrote Baohong Wen, Keke Fang and their colleagues in their paper. “To address this heterogeneity, our study aimed to delineate OCD subtypes based on individualized gray matter morphological differences.”

Dr. Thomas Chen, MD, Ph.D. — CEO/CSO, NeOnc — Revolutionizing The Fight Against Brain Cancers

Revolutionizing the fight against brain cancers — dr. thomas chen MD, phd, FAANS, — CEO/CSO, neonc technologies holdings inc.


Dr. Thomas Chen, MD, Ph.D. is Founder, CEO & CSO, and Board Director, of NeOnc Technologies (https://neonc.com/), a developer of a proprietary, patented platform technology that can potentially transport pharma-based therapeutics directly to the brain without the normal boundary restrictions imposed by the body’s Blood-Brain Barrier (BBB), providing patients with potentially more effective treatments.

NeOnc is developing a portfolio of treatments for brain cancer and other central nervous system (CNS) disorders.

Dr. Chen is a board-certified neurosurgeon and the Director of Surgical Neuro-Oncology at USC where he is also a tenured Professor of Neurosurgery and Pathology (https://keck.usc.edu/faculty-search/thomas-c-chen/).

Dr. Chen graduated summa cum laude from the University of Illinois at Urbana-Champaign, where he also received Bronze Tablet honors and was inducted into the Phi Beta Kappa national academic honor society. He attended the University of California, San Francisco, where he obtained his MD, and was inducted into the Alpha Omega Alpha National Medical Honor Society. He underwent neurosurgery training at USC and obtained a Ph.D. degree in pathobiology where his thesis was on the role of immunotherapy in malignant brain tumors.

Scientists link dyslexia risk genes to brain differences in motor, visual, and language areas

The motivation behind the new study was to address these gaps in our understanding by leveraging the power of large-scale data. The researchers recognized that investigating the connection between genetic predisposition to dyslexia and brain structure in a very large sample could provide more robust and reliable insights than smaller, more traditional studies. They aimed to identify specific brain regions and white matter tracts that are associated with genetic risk for dyslexia, and to explore whether different genetic variants might influence distinct neural pathways.

“Thirty-five genetic variants that influence the chance of having dyslexia were already known from a very large study by the company 23andMe in the USA, carried out in over one million people. However, that study did not include brain MRI data. The new aspect of our study was to investigate the genetic variants in relation to brain structure in MRI data from thousands of people,” explained Clyde Francks (@clydefrancks), a professor at the Max Planck Institute for Psycholinguistics in Nijmegen and senior author of the study.

The researchers used two large datasets: the genetic data 23andMe and brain imaging data from over 30,000 adults in the UK Biobank. The 23andMe dataset helped identify genetic variants associated with dyslexia by comparing individuals who reported a dyslexia diagnosis to those who did not. These genetic variants were then used to calculate “polygenic scores” for individuals in the UK Biobank, reflecting their genetic predisposition to dyslexia.