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In a podcast on Monday, Anthropic CEO Dario Amodei warned that a future with human-level AIs is not far away. In fact, it might happen as soon as 2026.

The podcast was hosted by AI influencer Lex Fridman where Amodei was invited for an interview that went on for 5 hours. A lot of interesting topics were discussed, starting from Anthropic’s upcoming project to the timeline for superintelligent models and so on.

Note: Human-level AIs basically refer to Artificial General Intelligence (AGI) which many companies like OpenAI are already working on. AGI is a new state in which an AI model will be as competent as a human in every field.

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This behavior is driven by quantum entanglement, a phenomenon where the fates of individual electrons become intertwined.

Scientists have developed theoretical models describing quantum spin liquids for many years. However, creating these materials in a laboratory setting has been a challenge.

This is because, in most materials, electron spins tend to settle into an ordered state, similar to the alignment seen in conventional magnets.

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Researchers have developed a robot capable of performing surgical procedures with the same skill as human doctors by training it using videos of surgeries.

The team from Johns Hopkins and Stanford Universities harnessed imitation learning, a technique that allowed the robot to learn from a vast archive of surgical videos, eliminating the need for programming each move. This approach marks a significant step towards autonomous robotic surgeries, potentially reducing medical errors and increasing precision in operations.

Revolutionary Robot Training

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Unveiling faster and smarter reasoning in AI:*

https://arxiv.org/abs/2410.

Researchers have introduced a breakthrough in AI reasoning, specifically for Large Language Models (LLMs), with a method called*.

Interpretable Contrastive Monte Carlo Tree Search Reasoning — zitian-gao/SC-MCTS.

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Researchers from Baylor College of Medicine, Stanford University School of Medicine, and their collaborators have identified a novel compound called BHB-Phe, which is naturally produced by the body. Published in the journal Cell, their findings reveal that BHB-Phe regulates appetite and body weight by interacting with neurons in the brain.

Until now, BHB has been known as a compound produced by the liver to be used as fuel. However, in recent years, scientists have found that BHB increases in the body after fasting or exercise, prompting interest in investigating potential beneficial applications in obesity and diabetes.

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