You Are Completely Unprepared for What This Humanoid Servant Robot Looks Like
Norwegian robotics startup 1X has shown off its latest humanoid robot, dubbed Neo Gamma, in a flashy new promotional video claiming to show the bot preparing tea, doing laundry, and vacuuming around the house.
In a bid to separate its bipedal household laborer from the far creepier competition, 1X wrapped Neo Gamma in what it's calling a KnitSuit, an eyebrow-raising onesie that's "soft to the touch and flexible for dynamic movements."
It's a fascinating choice with some eerie results. Despite its full-body sweater, Neo Gamma's face is a more conventional panel of black plastic, dotted with an unsettling pair of set-back eyes. It's as if evil scientists crossed Baymax from Disney's "Big Hero 6" with Jason Voorhees, the hockey mask-donning antagonist from the "Friday The 13th" film series — with maybe a splash of Oogie Boogie from "The Nightmare Before Christmas" and the haunted sack guys from "9."
"There is a not-so-distant future where we all have our own robot helper at home, like Rosey the Robot or Baymax," said 1X CEO Bernt Børnich in a statement. "But for humanoid robots to truly integrate into everyday life, they must be developed alongside humans, not in isolation."
But whether any of what 1X showed off in its Apple-like promotional video will ever turn into a reality is awfully hazy. In a press release, the company claims the design is only a "first step" and "opens the door to start internal home testing."
In other words, don't expect Neo Gamma to go on sale any time soon — although, as is typical in the hype-fueled tech sector, the company is simultaneously promising exactly that, even as it manages expectations.
"With NEO Gamma, every engineering and design decision was made with one goal in mind: getting NEO into customers' homes as quickly as possible," Børnich promised. "We're close. We can't wait to share more soon."
1X is far from the first company to show off a flashy humanoid robot designed to help out in the home. Elon Musk's Tesla, for instance, is working on its own bidepal assistant, dubbed Optimus. But despite plenty of fanfare, the EV maker has employed a lot of smoke and mirrors to make up for reality failing to live up to some pretty bold claims so far.
California-based AI robotics company Figure has also shown off an AI-powered humanoid that can talk courtesy of OpenAI's large language models. The company claims on its website that the second generation of its robot, Figure 02, is the "world's first commercially-viable autonomous humanoid robot" — but has yet to announce price or availability.
Interestingly, 1X also received funding from OpenAI last year as part of a $100 million series, in another sign of the hype for humanoid robots that can talk to their masters with the help of generative AI.
But despite the attention and investments being poured into the industry, nobody really knows when — or if — we'll see robots like Neo Gamma being offered to consumers. The engineering challenges are immense, and whether they can prove to be actually useful in a home setting, let alone be affordable to those who aren't hugely wealthy, remains to be seen.
At least we'll give 1X credit for a creative new twist on the otherwise uncanny aesthetics of robotics, filled with creepy facial expressions and twitching extremities.
More on humanoid robots: Tesla's Robots Were Just Remotely Controlled Dummies, Analyst Confirms
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
an hour ago
- Yahoo
Miley Cyrus Explains How She Used to Hide All of the Money She Spent on Drugs from Her Accountant
Miley Cyrus recalls the days of hiding her drug purchases from those around her The former Disney star visited The Ringer's Every Single Album podcast where she discussed her drug use during Miley Cyrus & Her Dead Petz era She has also openly discussed her sobriety journeyMiley Cyrus is opening up about her past drug use — and how she used to keep it a secret from those around her, specifically her accountant. The music artist, 32, got candid while taking a deep dive into where she was mentally for each of her albums like Bangerz and Endless Summer Vacation, for the Friday, June 6 episode of The Ringer's Every Single Album podcast. During their discussion of her 2015 album, Miley Cyrus & Her Dead Petz, the former Disney star revealed where some of her money went without her accountant's knowledge. 'The drugs were the biggest cost, which to hide those from my accountant, we called them vintage clothes,' Cyrus said. The 'Flowers' singer continued, 'And so she would get these checks. That happens on touring all the time.' Cyrus said over time her accountant would wonder about the "vintage clothes" costs but she always made sure to keep her purchases discreet. 'And every time she saw me, she'd be like, 'Where's that, like, $15,000 original John Lennon T-shirt that you bought?' It's like, 'Oh, it's upstairs,' ' she said. 'We just really want to protect it. It's really delicate. The fabric got to take care of it. So I bought a lot of vintage clothes that year,' Cyrus added. Continuing to reflect on Miley Cyrus & Her Dead Petz, the 'We Can't Stop' singer admitted she's grateful for how far she's come since that period in her life. 'I'm so glad I survived that time in my life," Cyrus said. "I would definitely not encourage anyone else to go this hard, but the fact that I got through it, I'm very glad I got to do it.' Cyrus has been open about her sobriety throughout the passing years. In a 2017 interview with Billboard, she said she was 'evolving' after giving up marijuana. 'I haven't smoked weed in three weeks, which is the longest I've ever [gone without it],' she said at the time. 'I'm not doing drugs, I'm not drinking, I'm completely clean right now! That was just something that I wanted to do.' She later spoke to Rolling Stone for the magazine's January 2021 cover story after she "fell off" and started drinking during the pandemic. Never miss a story — sign up for to stay up-to-date on the best of what PEOPLE has to offer, from celebrity news to compelling human interest stories. "[I] haven't done drugs in years. Honestly, I never try to, again, be a fortune-teller. I try to not be naive," Cyrus said at the time. "Things f—--- happen. But from sitting here with you right now, I would say it would have to be a cold day in hell for me to relapse on drugs." If you or someone you know is struggling with substance abuse, please contact the SAMHSA helpline at 1-800-662-HELP. Read the original article on People
Yahoo
2 hours ago
- Yahoo
Inside the Secret Meeting Where Mathematicians Struggled to Outsmart AI
On a weekend in mid-May, a clandestine mathematical conclave convened. Thirty of the world's most renowned mathematicians traveled to Berkeley, Calif., with some coming from as far away as the U.K. The group's members faced off in a showdown with a 'reasoning' chatbot that was tasked with solving problems they had devised to test its mathematical mettle. After throwing professor-level questions at the bot for two days, the researchers were stunned to discover it was capable of answering some of the world's hardest solvable problems. 'I have colleagues who literally said these models are approaching mathematical genius,' says Ken Ono, a mathematician at the University of Virginia and a leader and judge at the meeting. The chatbot in question is powered by o4-mini, a so-called reasoning large language model (LLM). It was trained by OpenAI to be capable of making highly intricate deductions. Google's equivalent, Gemini 2.5 Flash, has similar abilities. Like the LLMs that powered earlier versions of ChatGPT, o4-mini learns to predict the next word in a sequence. Compared with those earlier LLMs, however, o4-mini and its equivalents are lighter-weight, more nimble models that train on specialized datasets with stronger reinforcement from humans. The approach leads to a chatbot capable of diving much deeper into complex problems in math than traditional LLMs. To track the progress of o4-mini, OpenAI previously tasked Epoch AI, a nonprofit that benchmarks LLMs, to come up with 300 math questions whose solutions had not yet been published. Even traditional LLMs can correctly answer many complicated math questions. Yet when Epoch AI asked several such models these questions, which were dissimilar to those they had been trained on, the most successful were able to solve less than 2 percent, showing these LLMs lacked the ability to reason. But o4-mini would prove to be very different. [Sign up for Today in Science, a free daily newsletter] Epoch AI hired Elliot Glazer, who had recently finished his math Ph.D., to join the new collaboration for the benchmark, dubbed FrontierMath, in September 2024. The project collected novel questions over varying tiers of difficulty, with the first three tiers covering undergraduate-, graduate- and research-level challenges. By February 2025, Glazer found that o4-mini could solve around 20 percent of the questions. He then moved on to a fourth tier: 100 questions that would be challenging even for an academic mathematician. Only a small group of people in the world would be capable of developing such questions, let alone answering them. The mathematicians who participated had to sign a nondisclosure agreement requiring them to communicate solely via the messaging app Signal. Other forms of contact, such as traditional e-mail, could potentially be scanned by an LLM and inadvertently train it, thereby contaminating the dataset. The group made slow, steady progress in finding questions. But Glazer wanted to speed things up, so Epoch AI hosted the in-person meeting on Saturday, May 17, and Sunday, May 18. There, the participants would finalize the final batch of challenge questions. Ono split the 30 attendees into groups of six. For two days, the academics competed against themselves to devise problems that they could solve but would trip up the AI reasoning bot. Each problem the o4-mini couldn't solve would garner the mathematician who came up with it a $7,500 reward. By the end of that Saturday night, Ono was frustrated with the bot, whose unexpected mathematical prowess was foiling the group's progress. 'I came up with a problem which experts in my field would recognize as an open question in number theory—a good Ph.D.-level problem,' he says. He asked o4-mini to solve the question. Over the next 10 minutes, Ono watched in stunned silence as the bot unfurled a solution in real time, showing its reasoning process along the way. The bot spent the first two minutes finding and mastering the related literature in the field. Then it wrote on the screen that it wanted to try solving a simpler 'toy' version of the question first in order to learn. A few minutes later, it wrote that it was finally prepared to solve the more difficult problem. Five minutes after that, o4-mini presented a correct but sassy solution. 'It was starting to get really cheeky,' says Ono, who is also a freelance mathematical consultant for Epoch AI. 'And at the end, it says, 'No citation necessary because the mystery number was computed by me!'' Defeated, Ono jumped onto Signal early that Sunday morning and alerted the rest of the participants. 'I was not prepared to be contending with an LLM like this,' he says, 'I've never seen that kind of reasoning before in models. That's what a scientist does. That's frightening.' Although the group did eventually succeed in finding 10 questions that stymied the bot, the researchers were astonished by how far AI had progressed in the span of one year. Ono likened it to working with a 'strong collaborator.' Yang Hui He, a mathematician at the London Institute for Mathematical Sciences and an early pioneer of using AI in math, says, 'This is what a very, very good graduate student would be doing—in fact, more.' The bot was also much faster than a professional mathematician, taking mere minutes to do what it would take such a human expert weeks or months to complete. While sparring with o4-mini was thrilling, its progress was also alarming. Ono and He express concern that the o4-mini's results might be trusted too much. 'There's proof by induction, proof by contradiction, and then proof by intimidation,' He says. 'If you say something with enough authority, people just get scared. I think o4-mini has mastered proof by intimidation; it says everything with so much confidence.' By the end of the meeting, the group started to consider what the future might look like for mathematicians. Discussions turned to the inevitable 'tier five'—questions that even the best mathematicians couldn't solve. If AI reaches that level, the role of mathematicians would undergo a sharp change. For instance, mathematicians may shift to simply posing questions and interacting with reasoning-bots to help them discover new mathematical truths, much the same as a professor does with graduate students. As such, Ono predicts that nurturing creativity in higher education will be a key in keeping mathematics going for future generations. 'I've been telling my colleagues that it's a grave mistake to say that generalized artificial intelligence will never come, [that] it's just a computer,' Ono says. 'I don't want to add to the hysteria, but in many ways these large language models are already outperforming most of our best graduate students in the world.'
Yahoo
4 hours ago
- Yahoo
An OpenAI exec says she was diagnosed with breast cancer and that ChatGPT has helped her navigate it
Kate Rouch, OpenAI's chief marketing officer, said she was diagnosed with breast cancer. Rouch said she is expected to make a full recovery and urged other women to prioritize their health. She said she leaned on OpenAI's ChatGPT to navigate her treatment. Kate Rouch, the chief marketing officer at OpenAI, shared on Friday that she was diagnosed with invasive breast cancer weeks after assuming the role, which she called her "dream job," in December. In a thread posted on X, Rouch said she was sharing her story to help other women, adding, "We can't control what happens to us--but we can choose how we face it. My biggest lesson: no one fights alone." Prior to joining OpenAI as the company's first CMO, Rouch was CMO at Coinbase and, before that, spent over a decade at Meta, including as vice president, global head of brand and product marketing. Rouch said she started treatment right around the Super Bowl in February, when OpenAI aired its first-ever ad, and that she has since gone through 13 rounds of chemotherapy while leading OpenAI's marketing team. She wrote that she is expected to make a full recovery. "It has been the hardest season of life — for me, for my husband, and for our two young children," Rouch said, adding she has been supported by OpenAI "at every step." "Silicon Valley can be brutal and transactional. And yet — I've never felt more held," she said, adding that "people showed up in incredible and unexpected ways." Rouch also said OpenAI's ChatGPT has helped her navigate her diagnosis and treatment, including by explaining cancer in a way that is age-appropriate for her kids, helping her manage the side effects of chemo, and creating custom meditations. "Experiencing our work as a patient has made OpenAI's mission feel more personal and important," she said. Rouch said she was sharing her story to encourage other women to "prioritize their health over the demands of families and jobs." "A routine exam saved my life. It could save yours, too," she said. Business Insider reached out to OpenAI for comment. Kevin Weil, the chief product officer at OpenAI, expressed support for Rouch in a reply to her thread. "We love you @kate_rouch!" he wrote. "Proud of you for telling your story and for being so full of fight." Read the original article on Business Insider