Meta will ask employees who are assigned to an office to return for 3 days per week, joining Amazon, Apple, Disney and other major companies that have all revised their work-from-home policies this year.

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Volkswagen AG is trying to build up a leading battery maker to supply its ever-expanding fleet of electric

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ChatGPT’s creators have attempted to get the system to explain itself. They found that while they had some success, they ran into some issues – including the fact that artificial intelligence may be using concepts that humans do not have named for, or understanding of. Researchers at OpenAI, which developed ChatGPT, used the most recent version of its model known as GPT-4 to try and explain the behaviour of GPT-2, an earlier version. It is an attempt to overcome the so-called black box problem with large language models such as GPT. While we have a relatively good understanding of what goes into and comes out of such systems, the actual work that goes on inside remains largely mysterious. That is not only a problem because it makes things difficult for researchers. It also means that there is little way of knowing what biases might be involved in the system, or if it is providing false information to people using it, since there is no way of knowing how it came to the conclusions it did. Engineers and scientists have aimed to resolve this problem with “interpretability research”, which seeks find ways to look inside the model itself and better understand what is going on. That has often required looking at the “neutrons” that make up such a model: just like in the human brain, an AI system is made up of a host of so-called neutrons that represent parts of the data it uses. Finding those is difficult, however, since humans have had to pick through the neurons and manually inspect them to find out what they represent. But some systems have hundreds of billions of parameters and so actually getting through them all with people is impossible. Now, researchers at OpenAI have looked to use GPT-4 to automate that process, in an attempt to more quickly pick through the behaviour. They did so by attempting to create an automated process that would allow the system to provide natural language explanations of the neuron’s behaviour – and apply that to another, earlier language model. That worked in three steps: looking at the neuron in GPT-2 and having GPT-4 try and explain it, then simulating what that neuron would, and finally scoring that explanation by comparing how the simulated activation worked with the real one. Most of those explanations went badly, and GPT-4 scored itself poorly. But researchers said that they hoped the experiment showed that it would be possible to use the AI technology to explain itself, with further work. The creators came up against a range of “limitations”, however, that mean the system as it exists now is not as good as humans at explaining the behaviour. Part of the problem may be that explaining how the system is working in normal language is impossible – because the system may be using individual concepts that humans cannot name. “We focused on short natural language explanations, but neurons may have very complex behavior that is impossible to describe succinctly,” the authors write. “For example, neurons could be highly polysemantic (representing many distinct concepts) or could represent single concepts that humans don’t understand or have words for.” It also runs into problems because it is focused on specifically what each neuron does individually, and not how that might affect things later on in the text. Similarly, it can explain specific behaviour but not what mechanism is producing that behaviour, and so might spot The system also uses a lot of computing power, the researchers note. Read More Google to unveil major new AI AI robots figure out how to play football in shambolic footage White House asks hackers to break ChatGPT White House reveals plan to ‘protect’ citizens from danger of AI DeepMind boss says human-level AI is just a few years away Regulator to probe use of artificial intelligence such as ChatGPT

EA FC 24 TOTW 1 predictions include Tariq Lamptey, Bernardo Silva, Terem Moffi, Xavi Simons, Robert Lewandowski, Richarlison and more.

Nasa is sending a rocket to a metallic asteroid between Mars and Jupiter in the hope of finding diamonds and rubies. The mission, which is set to launch on Friday 13 October, will involve visiting the mysterious metallic asteroid 16 Psyche, which sits in an asteroid belt between the two planets. The journey will take seven years for Falcon Heavy, a craft made by Elon Musk’s space exploration firm SpaceX. It was due to take off on Thursday, but the launch was postponed because of bad weather. Nasa Administrator Bill Nelson said: “We are launching a billion dollar spacecraft all the way beyond Mars and close to Jupiter and it’s going to snuggle up next to a metallic asteroid, and we are going to learn something about that metallic asteroid. “I hope we might find diamonds and rubies on that asteroid. “Everything is a new discovery, and we are glimpsing more of the development of this magnificent thing we call the universe.” Falcon Heavy takes off on its four-billion-mile journey at 10.19am in Florida, from the Kennedy Space Center. That is 3.16pm UK time. By May 2026, it will pass by Mars and use the planet’s gravitational force to slingshot itself toward the asteroid. Four years later, it will reach its destination. There, it will find a rock made up of iron and nickel, scientists believe. But they also think it could contain precious metals and gems. 16 Psyche has puzzled astronomers since it was discovered by Italian astronomer Annibale de Gasparis in 1852. In the 1980s, radar readings found that it was made of metal, leading scientists to speculate that the 130-mile boulder lost its outer shell by colliding with other asteroids. The spacecraft will spend about 26 months in orbit, taking images of the asteroid to get a clearer picture of its topography, surface features, gravity and magnetism. The asteroid will not be mined – but space agencies might just start taking more notice if they find its one massive diamond. Sign up to our free Indy100 weekly newsletter Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

Who needs the Louvre in Paris or The Metropolitan Museum of Art in New York City when you've got Bovington Tank Museum? That's the opinion that YouTube have at least after the quaint military museum in Dorset became an unlikely hit on the video site, racking up more than 100 million views, more the the two aforementioned art institutes. The museum, simply known as 'The Tank Museum' currently has more than 500,000 subscribers to its YouTube channel. At the time of writing the channel has more than 400 videos with some of the most popular being short documentaries on the history of such tanks as 'The War Horse' and 'King Tiger' which both have more than 2 million views each. As per the New York Times, the channel is the first ever museum to achieve more than 550,000 subscribers on YouTube and the first to have more than 100 million views. The museum was founded in 1923 but much of its success in the digital age has come via viewers in the United States and Canada who have become entranced by series on the channel such as top 5 lists and 'Tank Chat.' Top 5 Tanks | Chris Copson | The Tank Museum www.youtube.com One of the stars of the channel is the museum's education officer and full-time presenter Chris Copson who told the BBC that he would never have dreamed "in a million years" that he would become an online celebrity and says that he has even been recognised in the street. Nik Wyness, the museum’s head of marketing, admitted to NY Times that the YouTube phenomenon has helped the museum financially and generated a third of their revenue last year, which helped boost merchandise sales on their online store. It's not just YouTube where things are thriving for the Tank Museum. Their TikTok account is also growing with an impressive 320,000 followers so far. Sign up for our free Indy100 weekly newsletter Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

Diablo 4 sales are through the roof

A South African state development bank plans to create an almost $1.5 billion water infrastructure fund and is