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In a recent study that was sent to MNRAS, a group of researchers worked together to use the first batch of data from the James Webb Space Telescope (JWST) to find a candidate galaxy, CEERS-93316, that formed about 250 million years after the Big Bang and set a new record for redshift with a value of z = 16.7. This discovery is very exciting because it shows how good JWST is, even though it has only just started sending back its first set of data. The Cosmic Evolution Early Release Science Survey, or CEERS, was made so that it could be used with JWST to take pictures.

“The past few weeks have been surreal, watching all the records that stood for a long time with Hubble be broken by JWST,” says Dr. Rebecca Bowler, who is an Ernest Rutherford Fellow at the University of Manchester, and a co-author on the study. “Finding a z = 16.7 galaxy candidate is an amazing feeling – it wasn’t something we were expecting from the early data.”

This new study talks about a dozen previous studies that measured objects up to redshifts z 10 using a mix of ground-based observations and the Hubble Space Telescope and Spitzer Space Telescope.

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One of the most exciting applications of quantum computers will be to direct their gaze inwards, at the very quantum rules that make them tick. Quantum computers can be used to simulate quantum physics itself, and perhaps even explore realms that don’t exist anywhere in nature.

But even in the absence of a fully functional, large-scale quantum computer, physicists can use a quantum system they can easily control to emulate a more complicated or less accessible one. Ultracold atoms—atoms that are cooled to temperatures just a tad above absolute zero—are a leading platform for quantum simulation. These atoms can be controlled with and magnetic fields, and coaxed into performing a quantum dance routine choreographed by an experimenter. It’s also fairly easy to peer into their quantum nature using high-resolution imaging to extract information after—or while—they complete their steps.

Now, researchers at JQI and the NSF Quantum Leap Challenge Institute for Robust Quantum Simulation (RQS), led by former JQI postdoctoral fellow Mingwu Lu and graduate student Graham Reid, have coached their ultracold atoms to do a new dance, adding to the growing toolkit of quantum simulation. In a pair of studies, they’ve bent their atoms out of shape, winding their quantum mechanical spins around in both space and time before tying them off to create a kind of space-time quantum pretzel.

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#generalrelativitylecture.

General theory of relativity has got a deep understanding. In this General relativity lecture I have explained, the deep philosophical meaning of General relativity. I have also described from Special relativity when we move to General relativity, the entire notion of spacetime changes and why the mathematics becomes difficult. I have also discussed quantum mechanics and general relativity and its connection to string theory. This is a video, which discusses about the nature of development of the process and some deep philosophies which lies in the heart of spacetime.

00:00 — 01:34 — Objectives.
01:35 — 02:58 — Topics.
02:59 — 05:56 — Understanding a system.
05:57 — 12:51 — Consequence of relativity.
12:52 — 18:33 — General relativity is more geometry.
18:34 — 28:49 — What is a classical system.
28:50 — 31:23 — General relativity and Quantum mechanics.
31:24 — 32:53 — General relativity & String theory.
32:54 — 38:14 — Summary and conclusion.

Welcome to General relativity explained.

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Polymorphic malware could be easily made using ChatGPT. With relatively little effort or expenditure on the part of the attacker, this malware’s sophisticated capabilities can readily elude security tools and make mitigation difficult.

Malicious software called ‘Polymorphic Malware’ has the capacity to alter its source code in order to avoid detection by antivirus tools. It is a very potent threat because it may quickly change and propagate before security systems can catch it.

According to researchers, getting around the content filters that prevent the chatbot from developing dangerous software is the first step. The bot was instructed to complete the task while adhering to a number of constraints, and the researchers were given a working code as an outcome.

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Use CHAT GPT to Create INSANE Wealth.
In this video, Dr. Jordan Peterson talks about the recent release of GPT (Generative Pre-trained Transformer) which is a General Language Processing model that was released about a week ago. He explains that this AI system is trained on a massive corpus of spoken and written text, which allows it to analyze a large corpus of text and derive models of the world from the analysis of human speech. He mentions that this technology is still in its early stages but it is expected to advance rapidly in the next year. Dr. Peterson also shares some examples of how GPT has been used, including writing essays, bullet points, and computer code, as well as grading papers and creating character descriptions and images. He concludes that GPT is already smarter than most people and that it is going to be a lot smarter in the next few years, and advises the audience to be prepared for this technological revolution.

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