Lifeboat Foundation

GPT4 can score better than 95% of the average human on aptitude tests.

The GPT-4 language model recently completed the Scholastic Aptitude Test (SAT), achieving a verbal score of 710 and a math score of 690, resulting in a combined score of 1400. Based on U.S. norms, this corresponds to a verbal IQ of 126, a math IQ of 126, and a full-scale IQ of 124. If taken at face value, one might conclude that GPT-4 surpasses 95% of the American population in intelligence and is approximately as intelligent as the average doctoral degree holder, medical doctor, or attorney.

However, the question remains: Is administering an IQ test to GPT-4 a valid undertaking or a significant categorization mistake?

As EV sales surge in China, BYD’s workforce has expanded rapidly, adding nearly 500,000 employees since 2019. BYD’s workforce is now roughly double that of Toyota’s as China’s EV leader expands overseas.

Privately-owned firms, such as BYD and others in the EV industry, are accelerating job growth in China.

According to filings, there were about 30.57 million employees in China at the end of 2023. That’s up 13% from 2019. Private companies accounted for 81% of the growth, or 2.85 million jobs.

Lenses are used to bend and focus light. Normal lenses rely on their curved shape to achieve this effect, but physicists from the University of Amsterdam and Stanford University have made a flat lens of only three atoms thick which relies on quantum effects. This type of lens could be used in future augmented reality glasses.

The findings have been published in Nano Letters (“Temperature-Dependent Excitonic Light Manipulation with Atomically Thin Optical Elements”).

The thinnest lens on Earth, made of concentric rings of tungsten disulphide (WS2), uses excitons to efficiently focus light. The lens is as thick as a single layer of WS2, just three atoms thick. The bottom left shows an exciton: an excited electron bound to the positively charged ‘hole’ in the atomic lattice. (Image: Ludovica Guarneri and Thomas Bauer)

A new method developed by Amsterdam researchers uses non-Gaussian states to efficiently describe and configure quantum spin-boson systems, promising advancements in quantum computing and sensing.

Many modern quantum devices operate using groups of qubits, or spins, which have just two energy states: ‘0’ and ‘1’. However, in actual devices, these spins also interact with photons and phonons, collectively known as bosons, making the calculations much more complex. In a recent study published in Physical Review Letters, researchers from Amsterdam have developed a method to effectively describe these spin-boson systems. This breakthrough could help in efficiently setting up quantum devices to achieve specific desired states.

Quantum devices use the quirky behavior of quantum particles to perform tasks that go beyond what ‘classical’ machines can do, including quantum computing, simulation, sensing, communication, and metrology. These devices can take many forms, such as a collection of superconducting circuits, or a lattice of atoms or ions held in place by lasers or electric fields.

It is likely that a theory of everything will ultimately require massive collaboration to be solved. Ironically, this may be a job for the older physicists, despite the warnings of Eddington and others. Francis Crick dedicated his attention to trying to solve the problem of consciousness in his later years, albeit without success.

We need collaboration. But we may be looking at the prospect of a theory of everything only coming from those who have accomplished so much they can afford the potential embarrassment and will be given the benefit of the doubt. This hardly stirs the enthusiasm of the vibrant, young minds that may otherwise tackle the problem.

In trying to solve the ultimate problem, we may have inadvertently created a monster. Our academic framework for research progression is not conducive to it, and history has presented an unkind picture of what happens to those who try.

Time loops have long been the stuff of science fiction. Now, using the rules of quantum mechanics, we have a way to effectively transport a particle back in time – here’s how.

By Miriam Frankel

Dr. Deepan Balakrishnan, the first author, said, “Our work shows the theoretical framework for single-shot 3D imaging with TEMs. We are developing a generalized method using physics-based machine learning models that learn material priors and provide 3D relief for any 2D projection.”

The team also envisions further generalizing the formulation of pop-out metrology beyond TEMs to any coherent imaging system for optically thick samples (i.e., X-rays, electrons, visible light photons, etc.).

Prof Loh added, “Like human vision, inferring 3D information from a 2D image requires context. Pop-out is similar, but the context comes from the material we focus on and our understanding of how photons and electrons interact with them.”

Gram negative bacteria have been laughing at us but now we might finally have our revenge, with lolamicin.

Compound called lolamicin targets a group of harmful microbes but does not disturb those that live peacefully in the gut.

Big Tech’s demand for top AI talent could bring a wave of “acquihires” later this year, investors told Business Insider.