Lifeboat Foundation: Safeguarding Humanity
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Researchers have shown, for the first time, that transmission of ultrastable optical signals from optical clocks across tens of kilometers of deployed multicore fiber is compatible with simultaneous transmission of telecommunications data.

The achievement demonstrates that these emerging high-capacity fiber optic networks could be used to connect optical clocks at various locations, enabling new scientific applications.

As global data demands continue to surge, multicore fiber is being installed to help overcome the limits of existing networks. These fibers pack multiple light-guiding cores into a single strand, greatly increasing capacity for applications like streaming, finance and artificial intelligence.

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An international team of researchers, including members from the Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), has directly observed “highly charged muonic ions,” a completely new class of exotic atomic systems, in a gas-phase experiment for the first time. The study was published online on June 16 in Physical Review Letters.

The observation highlights the capabilities of advanced superconducting transition-edge-sensor (TES) microcalorimeters in revealing previously inaccessible atomic phenomena.

Normal atoms consist of a nucleus and bound electrons and are electrically neutral. However, when many electrons are removed, the atom becomes highly charged. These charged atoms, known as highly charged ions, are valuable tools for research across various fields, including fundamental physics, nuclear fusion, surface science, and astronomy.

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As more connected devices require greater bandwidth for activities like teleworking and cloud computing, managing the limited wireless spectrum shared by all users is becoming increasingly difficult.

To address this, engineers are turning to artificial intelligence.

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UC Berkeley astronomers found a hidden black hole roaming far from the galaxy’s core. It may eventually merge with the central black hole and release gravitational waves. Astronomers have identified nearly 100 cases of massive black holes feasting on stars, almost all located in the dense centers

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A fireside with Elon Musk at AI Startup School in San Francisco.

Before rockets and robots, Elon Musk was drilling holes through his office floor to borrow internet. In this candid talk, he walks through the early days of Zip2, the Falcon 1 launches that nearly ended SpaceX, and the “miracle” of Tesla surviving 2008.

He shares the thinking that guided him—building from first principles, doing useful things, and the belief that we’re in the middle of an intelligence big bang.

Chapters:

00:00 — Intro.
01:25 — His origin story.
02:00 — Dream to help build the internet.
04:40 — Zip2 and lessons learned.
08:00 — PayPal.
14:30 — Origin of SpaceX
18:30 — Building rockets from first principles.
23:50 — Lessons in leadership.
27:10 — Building up xAI
39:00 — Super intelligence and synthetic data.
39:30 — Multi-planetary future.
43:00 — Nueralink, AI safety and the singularity.

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Andrej Karpathy’s keynote at AI Startup School in San Francisco. Slides provided by Andrej: https://drive.google.com/file/d/1a0h1mkwfmV2PlekxDN8isMrDA5evc4wW…

Drawing on his work at Stanford, OpenAI, and Tesla, Andrej sees a shift underway. Software is changing, again. We’ve entered the era of “Software 3.0,” where natural language becomes the new programming interface and models do the rest.

He explores what this shift means for developers, users, and the design of software itself— that we’re not just using new tools, but building a new kind of computer.

More content from Andrej: / @andrejkarpathy.

Chapters and Thoughts (From Andrej Karpathy!)
0:00 — Imo fair to say that software is changing quite fundamentally again. LLMs are a new kind of computer, and you program them *in English*. Hence I think they are well deserving of a major version upgrade in terms of software.
6:06 — LLMs have properties of utilities, of fabs, and of operating systems → New LLM OS, fabbed by labs, and distributed like utilities (for now). Many historical analogies apply — imo we are computing circa ~1960s.
14:39 — LLM psychology: LLMs = \.

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