Nvidia Corp was on track on Tuesday to breach $1 trillion in market capitalization for the first time,

All major social media platforms do poorly at protecting LGBTQ+ users from hate speech and harassment — especially those who are transgender, non-binary or gender non-conforming, the advocacy group GLAAD said on Thursday

ATLANTA--(BUSINESS WIRE)--Aug 15, 2023--

"The Hill We Climb," the poem written by Amanda Gorman for President Joe Biden's inauguration, was moved out of the elementary section of one Miami-Dade County public school, the district confirmed Tuesday. It remains available to older children.

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

Paige Spiranac is no stranger to social media trolls, but fans' comments comparing her to Trevor Lawrence is something she 'can't unsee'

A man has left the internet baffled after claiming he has 21 days in a week and people are confused. Ed Mylett has gone viral for a second time after a clip from a podcast appearance on Impact Theory with YouTuber Tom Bilyeu went viral on X (formerly known as Twitter). The clip encapsulates hustle and grind culture perfectly, as Mylett claimed he had more days in the week than everyone else and explained his bizarre logic. He explained: “My day is 6am to noon, and I’m not crazy. You’re crazy for thinking it takes 24 hours, just like some dude in a cave did 300 years ago.” Sign up to our free Indy100 weekly newsletter While his maths and history might be questionable, Mylett continued, explaining, “My second day starts at noon and goes til 6pm”. He explained that 6pm until midnight counts as his “third day”, meaning over the course of a normal 7-day week, he actually experiences 21 days. It’s fair to say that users on X (formerly known as Twitter) weren’t quite as convinced by Mylett’s logic. “My favourite part of this clip is that he thinks the 'caveman era' was 300 years ago,” wrote one person. Another argued: “You can take the lad out of the afters but you can't take the afters out the lad. “All these former beak heeds turned entrepreneurs have swapped chatting s**t at 5am in some randoms kitchen for a podcast studio.” Who is Ed Mylett? Mylett is a YouTuber, podcaster and entrepreneur. H enjoined the World Financial Group (WFG), a financial planning company, in 1992. He has since used social media to grow a following by speaking about his career, and giving life lessons and advice to aspiring entrepreneurs. 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.

Meta founder and CEO Mark Zuckerberg will deliver the keynote speech at the tech company’s annual Connect conference. Zuckerberg and guests are expected to unveil the new Meta Quest 3 VR headset and, the company says, reveal how Meta is bringing mixed reality to life. Zuckerburg will speak about how AI can help people connect and express themselves in new ways, according to the company. And he will showcase Meta’s latest products and updates that will help developers build the future of human connection. This year’s Connect is being billed as a two-day virtual event focused on AI and virtual, mixed and augmented realities, as it seeks to put its mark on these emerging technologies. The highlight of the two-day event event will likely be the keynote, where Meta is expected to announce its much-hyped Quest 3 mixed-reality headset. Zuckerberg is expected reveal the Quest 3’s features, pricing, and availability. Read More ‘Shocking’ rise in number of children falling victim to sextortion, charity says Elon Musk warns of ‘civilisational risk’ posed by AI at historic gathering ChatGPT boss says he’s achieved human-level AI, then says he’s ‘just memeing’

Geoffrey Hinton, one of the so-called "godfathers" of artificial intelligence, urged governments on Wednesday to step in and make sure that machines do...

Baidu Inc.’s revenue rose its most in more than a year, joining China’s largest internet companies in rediscovering

Greenhouse gas emissions from the world’s top meat and dairy producers increased further this year, highlighting the urgent

Apple is in the processing of shutting down its “Photo Stream” offering – and could be removing people’s important memories with it. As such, users of any Apple devices such as iPhones that are still using the old system have been urged to check they have saved all of their latest images to ensure that they are not lost. Apple announced recently that it would stop taking new photo uploads on 26 June. But any of the images that were uploaded before then would stick around for a further month, meaning that the images will finish on 26 July, when the system will be shut down. The images will not be removed from the original devices that took the image, and so should be safe as long as that is the case. But various people use the Photo Stream tool to move pictures between devices, meaning that they could potentially get lost. Photo Stream was launched as an early way to synchronise photos across devices. It was launched in 2011, and has been operated as part of iCloud since. It allowed iPhone users to upload their most recent 1,000 photos, taken in the last 30 days, for free. Users on Mac or Windows could have those photos then automatically download to their device, meaning that those libraries would be easily kept up to date, even with photos that were taken on another device. In the time since, however, Apple has moved towards a new offering called iCloud Photos, which uploads all pictures automatically and then keeps them in sync across any devices that are logged in. While that means there are not the same kind of limits as with the Photo Stream, it also means that users are likely to need to pay for storage and need to set up the service. As such, many people may still be using that old Photo Stream service, even as it comes to be shut down. Anyone who is might in turn lose access to those photos that are still stored in Photo Stream and are yet to be saved. Thankfully, saving them is relatively easy. Users can head into the Photos app, click on “My Photo Stream” and then choose the images that need saving and add them into the library. If users already have iCloud Photos switched on, this will be unnecessary, and photos are already being kept in sync. If not, then the feature can be turned on from within the Photos settings on recent Apple devices, which will then ensure that those photos are kept in sync across any device with the setting switched on. Read More Apple finally lets people decide how they appear in Maps listings Apple sounds alarm over new government plans Google kills its rival smart glasses to Apple Vision