Along with a new endgame mode, Capcom’s third-person shooter ‘Exoprimal’ will see crossovers with ‘Street Fighter 6’ and ‘Monster Hunter’ in the future.

The US is working to establish the full details of Huawei Technologies Co.’s advances in chip technology, news

Google will now alert people when their personal information appears online – and make it easier to get it removed. The new tools are aimed at giving people more control over the information and images of them that appear online, the company said. New rules on personal explicit images mean that users will be able to request that explicit images of themselves are taken down from search results. That extends to situations where someone has willingly uploaded explicit content themselves and then later wants it to be removed from search results. The same policy applies to personal information generally. That too will not only appear in Google’s tools but will also be easier to have removed. Google has long had policies that are intended to help people have non-consensual explicit imagery removed from search results. But the changes mean that people can have that content removed even when it was uploaded consensually at the time. In its update, Google stressed that it was only able to remove content from Google search, and that doing so would not affect its availability on other websites or search engines. But removing any unwanted images from search results should make them much more difficult to find. The new features are part of an expansion of Google’s “Results about you” tool, which it first made available last year. When it was launched, it was intended to make it easier for people to request the removal of search results that contain personal information, such as phone numbers or home addresses. Now it has been improved so that it is proactive in finding search results that include that information. Users will be able to access the dashboard and see any web results that include that contact information. Users will then be able to access an improved form to ask to have those taken down. The dashboard is available only in the US and in English for now. Google said it was “working to bring it to new languages and locations soon”. Read More Google Assistant will be ‘supercharged’ with AI like ChatGPT and Bard Google warns Gmail users they could be about to lose their account Apple gives update on its plans for AI – and says it is coming to every product

Since buying Twitter, Elon Musk has made significant changes to the company as well as the app itself, from charging for features to...

Your coffee is brewed. Your mind is sharp. You go to turn on your computer,

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The U.S. Federal Trade Commission has launched an investigation into ChatGPT creator OpenAI and whether the artificial intelligence company violated consumer protection laws by scraping public data and publishing false information through its chatbot

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Warzone expert JGOD confirmed the best long range Warzone 2 loadout is the Cronen Squall. Check out his full loadout, including attachments and tuning.

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