Prime Minister Fumio Kishida met with the heads of the world’s largest chipmakers Thursday, as the country shores

With less than a month before federal student loan payments restart after the years-long pandemic pause, many borrowers are having a hard time connecting with their loan servicer.

SANTA CLARA, Calif.--(BUSINESS WIRE)--May 30, 2023--

SAVE $1,200: As of Aug. 25, the Razer Blade 15 gaming laptop is $1,200 off

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

ATLANTA--(BUSINESS WIRE)--May 17, 2023--

Amouranth seemed agitated as she placed the firecracker carefully on the ground, took a moment to gaze at the camera, before sprinting away

Google will not have to face allegations by dozens of states that the tech giant's design of its search results page has harmed rivals, such as Yelp or Expedia, a federal judge ruled in an opinion unsealed Friday, just weeks before the closely watched antitrust case is set to go to trial.

Governments around the world are scrambling to boost semiconductor production.

LONDON & BERGEN, Norway--(BUSINESS WIRE)--Jun 13, 2023--

Two of the world’s biggest artificial intelligence firms are being sued by celebrities including Sarah Silverman. The writers claim that ChatGPT creator OpenAI and Facebook parent company Meta used their text to train their artificial intelligence systems, without permission. “Since the release of OpenAI’s ChatGPT system in March 2023, we’ve been hearing from writers, authors, and publishers who are concerned about its uncanny ability to generate text similar to that found in copyrighted textual materials, including thousands of books,” wrote Joseph Saveri and Matthew Butterick, the lawyers behind the class-action complaint. Mr Saveri and Mr Butterick have already launched legal proceedings against GitHub Copilot, an AI coding assistant, as well as Stable Diffusion, the popular AI image generator. They call the systems “industrial-strength plagiarists” on a website built to track and promote that work that also includes the complaints that have been filed in California. Last week, the two lawyers launched class-action lawsuits against OpenAI, arguing that it was remixing the “copyrighted works of thousands of book authors—and many others—without consent, compensation, or credit”. That complaint was initially launched on behalf of two authors, Paul Tremblay and Mona Awad, who have since been joined by Sarah Silverman, Chris Golden and Richard Kadrey. The lawsuit alleges that their work had been downloaded from “shadow library” websites that make it possible to download large amounts of text in bulk. They were then used to train the ChatGPT and LLaMa systems made by Meta and OpenAI, it claims. The suit shows that ChatGPT will summarise those authors’ books when prompted, infringing copyright and not giving any of the copyright information about the books, the lawyers claim. The authors “did not consent to the use of their copyrighted books as training material”, the lawsuit says. OpenAI did not respond to a request for comment from The Independent. Meta declined to comment. Read More Will.i.am hails AI technology as ‘new renaissance’ in music Instagram Threads hits 100 million users SpaceX smashes reusable rocket record as Elon Musk makes bold Starship claim

Meta's new Twitter competitor, Threads, has really taken off. And while there's still a slew