Lifeboat Foundation

Jeff Bezos, the billionaire founder of Amazon, has always been a visionary investor, known for his early stakes in companies like Airbnb and Uber. In 2024, Bezos has turned his attention to a new frontier: AI-powered robotics. This bold move signifies a major shift as Bezos bets on the next wave of technological innovation, aiming to revolutionize industries and everyday life.

In April of last year, Marko Bjelonic, co-founder and CEO of Swiss-Mile, a Zurich-based robotics company, reached out to Bezos with a detailed proposal—an Amazon-style “6-Pager”—to pitch his company’s vision. Bjelonic recalls, “I was pleasantly surprised by Jeff’s patience and relaxed demeanor.” What was initially a planned 30-minute call extended to an hour, feeling more like a conversation than a formal interview.

This meeting led Bezos to co-lead a $22 million funding round for Swiss-Mile in August. Swiss-Mile is developing AI-driven robots that resemble headless dogs with wheels instead of feet, designed to deliver packages autonomously. These robots are currently undergoing trials on Zurich’s streets, marking a significant step towards commercial deployment. According to Bjelonic, “Our goal is to see these robots reliably deliver packages from point A to point B, enhancing efficiency and reducing human labor.”

Protons and other subatomic particles that are subject to the strong nuclear force have a complex structure that involves even more fundamental constituents called quarks and gluons. These quarks and gluons bind under the influence of quantum chromodynamics (QCD). QCD is the theory of strong interaction of quarks and the role of color symmetry.

However, the mechanisms that lead to quarks and gluons combining to form the particles we see in nature are very mysterious and poorly understood. For example, virtual quarks and gluons constantly appear and disappear within our current picture of the dynamics in the proton. So, which quarks and gluons are actually “in” a proton is a difficult question to answer.

Much of the experimental work related to extracting the quark and gluon structure of protons occurs at existing particle accelerators like the Thomas Jefferson National Accelerator Facility and the Relativistic Heavy Ion Collider, and in the future at the Electron Ion Collider.

Emily Simpson has loved space since she was a 10-year-old kid celebrating her birthday at a planetarium. Now a recent Florida Tech graduate, she leaves with not only a dual degree in planetary science and astronomy and astrophysics but with published research, too. She mapped our solar system’s “alternate fate” had it housed an extra planet between Mars and Jupiter instead of the existing asteroid belt.

Simpson’s paper, “How might a planet between Mars and Jupiter influence the inner solar system? Effects on orbital motion, obliquity, and eccentricity,” was published in Icarus, a journal devoted to the publication of research around solar system studies. It was co-authored by her advisor, assistant professor of planetary science Howard Chen.

They developed a 3D model that simulates how the solar system’s orbital architecture may have evolved differently with the formation of a planet that is at least twice the size of Earth’s mass—a super-Earth—instead of an asteroid belt.

More data releases are coming, and with it more discoveries, but many already wondering what’s next.

A supermassive black hole in a distant galaxy is rewriting the rules of astrophysics, with unprecedented activity that has left astronomers around the world both fascinated and perplexed. Plasma jets traveling at record-breaking speeds and rapid X-ray fluctuations near the event horizon are just some of the strange phenomena observed in real time. What secrets is this cosmic behemoth revealing, and how might it reshape our understanding of black holes?

00:00 — Self-Improving Models.
00:23 — AllStar Math Overview.
01:34 — Monte-Carlo Tree.
02:59 — Framework Steps Explained.
04:46 — Iterative Model Training.
06:11 — Surpassing GPT-4
07:18 — Small Models Dominate.
08:01 — Training Feedback Loop.
10:09 — Math Benchmark Results.
13:19 — Emergent Capabilities Found.
16:09 — Recursive AI Concerns.
20:04 — Towards Superintelligence.
23:34 — Math as Foundation.
27:08 — Superintelligence Predictions.

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00:00 — AI News Overview.
00:20 — Grok 3 Announcement.
01:05 — ChatGPT vs Others.
02:15 — Grok Diagnoses Injury.
06:03 — AI in Healthcare.
06:19 — AI Surveillance Debate.
09:17 — China’s Social Credit.
09:46 — VO2 Video Models.
10:28 — AGI’s $15 Quadrillion Value.
12:13 — Meta’s AI Users.
14:49 — Yann LeCun on AI
16:39 — Clone Robotics Update.
18:14 — NVIDIA Cosmos Explained.
21:06 — NVIDIA Road Simulation.
24:20 — Sam Altman on Singularity.
27:08 — Model Parameter Sizes.
28:21 — Gen X World Explorer.
30:30 — AI Video Realism.

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Source: NUS

Researchers have uncovered novel insights into how brain function disruptions related to cerebrovascular disease (CeVD) interact with Alzheimer’s disease (AD) pathology to impact neurodegeneration and cognition in older adults.

Led by Associate Professor Juan Helen Zhou, Director of the Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore (NUS Medicine), the research team revealed a brain functional connectome phenotype that is related to multiple CeVD markers and contributes additively to cognitive decline and neurodegeneration alongside AD.