Lifeboat Foundation: Safeguarding Humanity
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Category: biotech/medical – Page 125

In this video, Dr. Ben Goertzel, CEO of SingularityNET, TrueAGI and the Artificial Superintelligence Alliance (ASI Alliance), analyzes DeepSeek LLM as an efficiency advancement rather than an AGI breakthrough. The model’s open-source implementation and technical architecture (mixture of experts and multi-token training) improve accessibility while maintaining performance. This development demonstrates the continued democratization of AI capabilities and may redirect industry focus toward alternative computing architectures and decentralized systems.

0:00 Intro.
00:33 Initial Thoughts on DeepSeek.
01:25 Efficiency Gains and Their Implications.
02:58 Technological Singularity and Rapid Advances.
04:07 DeepSeek’s Underlying Technology.
07:27 Open Source Approach and Its Benefits.
09:58 China’s Role in AI and Open Source.
12:20 Broader Implications for AI and AGI
15:42 Conclusion: The Path to Technological Singularity.

#AGI #Deepseek #AI
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SingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive, and beneficial Artificial General Intelligence (AGI). An AGI is not dependent on any central entity, is open to anyone, and is not restricted to the narrow goals of a single corporation or even a single country.

The SingularityNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. Our core platform and AI teams are further complemented by specialized teams devoted to application areas such as finance, robotics, biomedical AI, media, arts, and entertainment.

Website: https://singularitynet.io.

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Vincent Danen is the Vice President of Product Security at Red Hat.

Cyber threats are an everyday reality. Attackers exploit the unwitting, stealing confidential and sensitive information through online scam campaigns. Data breach prevention is only as strong as the weakest link, and, in most cases, that link is human. As I mentioned in a previous article, it is reported that 74% of data breaches are caused by human error.

According to a 2020 FBI report, there was a 400% spike in cyberattacks during the Covid-19 pandemic. The human element is a significant vulnerability in cybersecurity, often overlooked in favor of technological solutions. Many organizations focus on addressing software vulnerabilities when employees remain the weakest link in the organization’s security program. Even the most secure software, with all vendor security patches applied, is in danger if the human aspect of risk management is neglected.

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Rice University researchers have revealed novel sequence-structure-property relationships for customizing engineered living materials (ELMs), enabling more precise control over their structure and how they respond to deformation forces like stretching or compression.

The study, published in a special issue of ACS Synthetic Biology, focuses on altering protein matrices, which are the networks of proteins that provide structure to ELMs. By introducing small genetic changes, the team discovered they could make a substantial difference in how these materials behaved. These findings could open doors for advancements in tissue engineering, drug delivery and even 3D printing of living devices.

“We are engineering cells to create customizable materials with unique properties,” said Caroline Ajo-Franklin, professor of biosciences and the study’s corresponding author. “While synthetic biology has given us tools to tweak these properties, the connection between genetic sequence, material structure and behavior has been largely unexplored until now.”

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Phages are viruses that attack bacteria by injecting their DNA, then usurping bacterial machinery to reproduce. Eventually, they make so many copies of themselves that the bacteria burst. By looking at this process in a unique type of virus called a jumbo phage, scientists hope to learn how to make new antibiotics that can address the growing crisis of resistance.

The jumbo phage has more than four times the DNA of an average phage. It uses this to create a restricted space inside where it can copy its DNA while surrounded by a made of .

Researchers at UC San Francisco have discovered that the shield works via a set of “secret handshakes.” They allow only a specific set of useful proteins to pass through.

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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 .

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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.”

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This study develops organ-specific aging models using blood proteomics data from 53,000 UK Biobank participants. These models predict organ-specific diseases and risk of death and reveal that chronic diseases reflect faster aging in specific organs. Different lifestyles affect organ aging differently.

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