Hilton has teamed up with Be My Eyes to make hotel stays more accessible for blind and low-vision guests. The free app links users with sighted volunteers and companies who can help them navigate spaces and complete tasks using video calls. By going to the app's service directory, selecting the "hotels" option then the name of the Hilton brand they're staying at, Be My Eyes users will be connected to dedicated teams at the chain. Hilton staff members can talk users through actions such as finding and adjusting the thermostat in the room, making coffee, adjusting window coverings and moving to different areas of the hotel. The partnership covers brands including Waldorf Astoria, Conrad, DoubleTree by Hilton and Hampton by Hilton, though only in the US and Canada for now.

For four years, Jacob Hilton worked for one of the most influential startups in the Bay Area -- OpenAI. His research helped test and improve the truthfulness of AI models such as ChatGPT. He believes artificial intelligence can benefit society, but he also recognizes the serious risks if the technology is left unchecked. Hilton was among 13 current and former OpenAI and Google employees who this month signed an open letter that called for more whistleblower protections, citing broad confidentiality agreements as problematic. "The basic situation is that employees, the people closest to the technology, they're also the ones with the most to lose from being retaliated against for speaking up," says Hilton, 33, now a researcher at the nonprofit Alignment Research Center, who lives in Berkeley.

A group of current and former OpenAI employees have issued a public letter warning that the company and its rivals are building artificial intelligence with undue risk, without sufficient oversight, and while muzzling employees who might witness irresponsible activities. "These risks range from the further entrenchment of existing inequalities, to manipulation and misinformation, to the loss of control of autonomous AI systems potentially resulting in human extinction," reads the letter published at righttowarn.ai. "So long as there is no effective government oversight of these corporations, current and former employees are among the few people who can hold them accountable." The letter calls for not just OpenAI but all AI companies to commit to not punishing employees who speak out about their activities. It also calls for companies to establish "verifiable" ways for workers to provide anonymous feedback on their activities.

Eliezer Yudkowsky, a 44-year-old academic wearing a grey polo shirt, rocks slowly on his office chair and explains with real patience – taking things slowly for a novice like me – that every single person we know and love will soon be dead. They will be murdered by rebellious self-aware machines. "The difficulty is, people do not realise," Yudkowsky says mildly, maybe sounding just a bit frustrated, as if irritated by a neighbour's leaf blower or let down by the last pages of a novel. "We have a shred of a chance that humanity survives." I have set out to meet and talk to a small but growing band of luddites, doomsayers, disruptors and other AI-era sceptics who see only the bad in the way our spyware-steeped, infinitely doomscrolling world is tending. I want to find out why these techno-pessimists think the way they do. I want to know how they would render change. Out of all of those I speak to, Yudkowsky is the most pessimistic, the least convinced that civilisation has a hope.

A Google engineer has reportedly been placed on suspension from the company after claim that an artificial intelligence (AI) he helped to develop had become sentient. "If I didn't know exactly what it was, which is this computer program we built recently, I'd think it was a seven-year-old, eight-year-old kid," Blake Lemoine told the Washington Post. Lemoine released transcripts of conversations with with the AI, called LaMDA (Language Model for Dialogue Applications), in which it appears to express fears of being switched off, talk about how it feels happy and sad, and attempts to form bonds with humans by talking about situations that it could never have actually experienced. Here's everything you need to know. In a word, no, says Adrian Weller at the Alan Turing Institute.

Here's something reassuring to think about: researchers using machine-learning artificial intelligence (AI) often don't know precisely how their algorithms are solving the problems they are tasked with. Take for instance the AI that can identify race from X-rays where no human can see how, or the Facebook AI that began to develop its own language. Joining these may be everyone's favorite text-to-image generator, DALLE-2. Computer Science PhD student Giannis Daras noticed that the DALLE-2 system, which creates images based on a text input prompt, would return nonsense words as text under certain circumstances. "A known limitation of DALLE-2 is that it struggles with text," he wrote in a paper published on pre-print server Arxiv.

In brief AI text-to-image generation models are all the rage right now. You give them a simple description of a scene, such as "a vulture typing on a laptop," and they come up with an illustration that resembles that description. But developers who have special access to OpenAI's text-to-image engine DALL·E 2 have found all sorts of weird behaviors – including what may be a hidden, made-up language. Giannis Daras, a PhD student at the University of Texas at Austin shared artwork produced by DALL·E 2 given the input: "Apoploe vesrreaitais eating Contarra ccetnxniams luryca tanniounons" – a phrase that makes no sense to humans. But to the machine, it seemed to generate images of birds eating bugs consistently.

Natural Language Processing (NLP) has long played a significant role in the compliance processes for major banks around the world. By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands. All of these areas can benefit from document processing and the use of NLP techniques to get through the process more effectively. Certain verification tasks fall beyond the realm of using traditional, rules-based NLP systems. This is where deep learning can help fill these gaps, providing smoother and more efficient compliance checks. There are several challenges that make the rules-based system more complicated to use when undergoing check routines.

The Bored Apes all showcase the same humanoid ape wearing a variety of accessories and disguises; Lazy Lions do the same thing, but with lions; CryptoSharks, at least, have the distinction of being shown in various lurid, vaguely rendered global settings, as if they have been transposed into an acid-tripper's vision of Hollywood or Beijing. I recently received an email about a limited run of NFTs called "Lobstars", which depict "hyper pop" lobsters dressed as familiar works of art, including Andy Warhol's soup cans and Marcel Duchamp's urinal. On OpenSea, the popular NFT marketplace, it is possible to type in almost any animal and find a corresponding series.

'Gutfeld!' panel debates whether CNN will change their coverage This is a rush transcript from "Gutfeld!," This copy may not be in its final form and may be updated. I want to protect free speech. No, we want people to be protected from disinformation, to be protected from dying in this country, to be protected from people like Donald Trump who spread this information for -- who love to make sure that the division and the death continues. That was a rough weekend, and not just for Kat. But at least she kept her clothes on unlike our other guests, Jimmy Failla. But it was a far worse weekend for CNN. First let's go to our roly-poly guacamole gossip goalie. See how bad it got unreliable fart noises. Here's Michael Wolff delivering that smack to the hack. You know, you become part of -- one of the parts of the problem of the media. You know, you come on here and you -- and you have a, you know, a monopoly on truth. You know, you know exactly how things are supposed to be done. You know, you are why one of the reasons people can't stand the media. You should see the rest of the world, buddy. Can I hear that chuckle again? But if that was a heavyweight fight, and it is because, you know, Stelter, it would have been stopped in the first 25 seconds. It got worse, meaning better, lots better. STELTER: It's -- how -- so what should I do differently, Michael? WOLFF: You know, don't talk so much. Listen more, you know, people have genuine problems with the media. The media doesn't get the story right.