The Cambridge Analytica scandal has come back to haunt Meta after a New Mexico judge ordered it to pay $25 billion in penalties for more than 43 million violations of the state's unfair practices law. The ruling marks the biggest legal hit Meta has taken this year, even as it's faced several other losses or settlements.
A New Mexico jury ruled in September that Meta misled consumers over how it protected their data and prevented misinformation and hate speech on its platforms. The case stemmed from a 2021 complaint in the wake of the revelations a few years earlier that UK political consultancy Cambridge Analytica harvested data from millio …
Lucid’s European robotaxi deal now has a driver. Bolt announced today that its fleet of at least 25,000 autonomous Lucid vehicles will run Nvidia’s Alpamayo Stack self-driving software, starting with a data-collection program in Madrid in 2027.
That gives Lucid two robotaxi customers on two different autonomy systems: Nuro’s software for Uber’s Gravity robotaxis in the US, and now Nvidia’s for Bolt in Europe.
more…Germany-based robotics firm Agile Robots reportedly plans to produce up to 2,000 humanoid robots next year through a fresh partnership with Nvidia, targeting universities and corporate research labs.
The collaboration was announced at Nvidia’s GTC conference in Berlin. Agile CEO Zhaopeng Chen told Reuters the pair are set to begin production of the Agile ONE S and ONE SN humanoid robot models by the end of 2026, expecting to manufacture between 1,000 and 2,000 units. Stanford University and ETH Zurich are among potential customers.
The Agile ONE SN, with the N standing for Nvidia to denote the chipmaker-specific configuration, combines Agile’s humanoid hardware with Nvidia’s Jetson Thor onboard computing platform and Isaac GR00T robotics AI model. It features five-fingered hands, cameras and other sensors to support dexterous manipulation and interaction with the physical environment.
Standing 1.4 metres tall and weighing around 40 kilograms, the robot is designed as a smaller alternative to full-sized humanoids. Nvidia said the robot intends to simplify the integration of hardware, simulation, training and deployment tools on a single platform, “cutting setup time from weeks to days”.
Spencer Huang, Nvidia’s product director for robotics, told Reuters the standardised configuration could save researchers two or three months of work procuring separately purchased components. “If we can bring researchers something that’s already 80% of the way there, it accelerates their development,” he said.
Nvidia said Agile’s ONE SN is scheduled to become available in early 2027, as competition intensifies among European humanoid developers.
ChatGPT moment
Alongside the partnership, the chipmaker also revealed its expanded robotics development platform, Nvidia Isaac, equipped with new tools for training and deploying AI-powered machines. The expanded platform includes Isaac OS, an open-source runtime framework, and Isaac Lab 3.0, a robot learning framework designed to train and refine robot skills. The company also introduced new reference workflows and simulation resources to speed up development.
“General-purpose robotics is advancing at extraordinary speed — the ChatGPT moment for robotics is fast approaching,” noted Jensen Huang, CEO of Nvidia, adding the platform would give developers “the models, data, simulation tools and computing systems to bring physical AI to the world’s largest industries”.
The chipmaker added European robotics players including UK-based Humanoid, French start-up Hugging Face and Swedish firm ABB Robotics are applying its technologies including Nvidia Isaac to industrial autonomous machines.
The post Agile Robots, Nvidia target up to 2,000 humanoids in 2027 appeared first on Mobile World Live.
Chi gioca su PC conosce bene quella fastidiosa situazione in cui un videogioco appena installato richiede diversi minuti per preparare gli shader, oppure presenta improvvisi scatti anche quando la scheda grafica sarebbe perfettamente in grado di gestirlo. Il problema riguarda il modo in cui vengono compilati gli shader, piccoli programmi che la GPU utilizza per elaborare luci, ombre, materiali ed effetti visivi, e come vi avevamo anticipato qualche giorno fa, ora è disponibile una novità che va a risolvere proprio questo problema.
Con l'arrivo dei nuovi driver NVIDIA GeForce 621.01, questo inconveniente potrebbe diventare molto meno frequente grazie al supporto per Advanced Shader Delivery, una tecnologia sviluppata da Microsoft che cambia il modo in cui gli shader vengono preparati e distribuiti ai computer.
Normalmente, ogni PC deve compilare gli shader in base alla propria configurazione hardware e software, e questa è un'operazione che richiede tempo e che, quando avviene durante una partita, può provocare improvvisi picchi di utilizzo della CPU e fastidiosi rallentamenti, conosciuti come lo stuttering. Advanced Shader Delivery sposta buona parte di questo lavoro nel cloud.
INTERVIEW: Nokia chief technology and AI officer Pallavi Mahajan and Nvidia SVP of telco Ronnie Vasishta told the Mobile World Live Podcast their AI-RAN partnership is showing tangible progress, as they announced close to 20 operators are lined up for lab and commercial trials of the technology.
In an exclusive interview to outline progress of their efforts, Vasishta and Mahajan highlighted the fact it had only been 12 months since the two companies announced a joint AI-RAN partnership, which included a $1 billion investment from Nvidia into the Finnish vendor.
A year on, today (21 October) at Nvidia’s GTC 2026 event in Berlin the duo announced almost 20 operators globally have committed to AI-RAN collaboration, including 10 from EMEA. Mahajan said these operators are at different stages, lined up for both lab and commercial trials.
In 2027 trials are expected from BT Group, Deutsche Telekom and Elisa, with the latter preparing for commercial deployment.
In the US, T-Mobile has completed what was claimed as the world’s first AI-RAN call on a live network, while in France Orange is introducing new voice and intelligence services for enterprises based on the technology.
Speed of light
Vasishta told MWL it was hard to overhype development based on the progress it had seen over the past year, and the number of trials and deployment is only set to grow.
“A year ago, or two years ago for sure, I think people would have scoffed at the idea. Nokia talking about operator commercialisation with AI-RAN, I think, that would have been perhaps seen as somewhat sceptical.”
Mahajan concurred, describing the pace of development as occurring “at the speed of light” with the game changer centred on being able to outline the true “value of what AI brings in terms of making RAN efficient” such as significant spectrum efficiency gains.
“In the next few years, the distinction between the networks and computing infrastructure will just blur,” she said, inevitably opening up a host of operator opportunities across applications beyond 5G and 6G.
Vasishta added Nvidia had started on the journey of software-defined RAN eight years ago and the inclusion of Nokia in 2025 had accelerated this dramatically.
“We see all operators around the world are created differently. They service different markets, they have different DNA, but overall, all of them have gravitated towards this concept now of AI RAN.”
Click here to listen to the full interview.
The post Nvidia, Nokia claim AI-RAN hype is justified as momentum grows appeared first on Mobile World Live.
With Nvidia’s GTC Berlin event in full swing, the company’s telecoms boss Ronnie Vasishta and Nokia chief technology and AI officer Pallavi Mahajan sit down with the Mobile World Live Podcast in an exclusive interview to reveal the next stage of the pair’s AI-RAN journey, as they team up with European heavyweights to turn networks into distributed intelligence platforms.
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00:00 — AI-RAN explained
7:20 — Operator trials
11:00 — Beyond edge hype
15:05 — AI-RAN economics
17:45 — Sovereign AI
21:10 — Commercialisation and 6G
The post Podcast: Exclusive – Nokia, Nvidia advance AI-RAN at GTC appeared first on Mobile World Live.
Volunteers and new recruits come together for ‘wikithon’ to put more detail about industry into public domain
“Anyone can edit Wikipedia,” the adage goes. But, it turns out, a relatively small number actually do.
What is worthy of a digital page in the world’s largest and most-read encyclopedia is decided by roughly 270,000 active volunteers, enthusiasts who populate the online resource with information on anything from 19th-century medicine to TikTok trends. Inevitably, some subjects are sidelined – the global south, notable women – but a new batch of Wikipedian recruits are waging war on one neglected topic: the arms industry.
Last week, in a classroom in central London, two dozen volunteers huddled around laptops and free servings of vegan Ethiopian food for what is known as a “wikithon”, an event of collective and in-person Wikipedia editing. Some were veteran editors in their 70s, others young students who had never registered an account before. But their targets include subjects such as Palantir, Project Maven and Nitro-Chem.
© Photograph: Lily Renshaw/The Guardian
© Photograph: Lily Renshaw/The Guardian
© Photograph: Lily Renshaw/The Guardian
Adriana Retyte took her own life after viewing ‘high-risk’ material on the video-sharing platform TikTok
A 14-year-old schoolgirl’s death after TikTok served her suicide content has prompted renewed calls for UK watchdogs to crack down on “toxic” social media feeds.
Adriana Retyte, a pupil at Langley school in Norfolk, took her own life after she viewed videos and images related to suicide on the video-sharing platform, according to a coroner who last week found her access to the material on TikTok “may have played a significant part in her decision to take her life”.
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© Photograph: The Good Brigade/Getty Images
© Photograph: The Good Brigade/Getty Images
© Photograph: The Good Brigade/Getty Images
Explore o potencial das câmaras do seu iPhone com o ProCamera. Esta app dá acesso a controlos manuais, captura em RAW e ProRAW e vídeo em 4K com ProRes. O download é gratuito, mas passado os período de teste, exige subscrição ou compra única.
The post ProCamera: a app que transforma o iPhone numa câmara com controlos profissionais appeared first on Tek Notícias.
Hoping to quell criticism, Meta has dropped the word “train” from its “streamlined” commercial terms of service that kick in on October 30.
Last week, Meta faced backlash after legal experts warned that the tech giant’s sweeping new commercial terms of service seemed to give Meta permission to endlessly scrape websites linked on business pages. Talking to Nieman Lab, experts suggested that Meta could possibly use the policy to avoid millions in licensing fees from news organizations by requiring all business users to share a wealth of AI training data simply for running a business page.
A Meta spokesperson confirmed that Meta did not alert users to the changed language following backlash. This potentially only adds to confusion ahead of the policy rollout. In response to backlash, Meta's spokesperson provided a statement to Ars, acknowledging Nieman Lab's initial report but not its follow-up report reiterating experts' concerns:
© filo | DigitalVision Vectors
RTX Spark is NVIDIA's new local AI-focused Windows PC platform, combining Blackwell RTX graphics and Grace CPU technology into a single processor that brings secure LLMs, high-end creative workflows, and gaming performance to laptops and desktops. With that, NVIDIA positions RTX Spark as a new generation of Windows PCs, with Surface Laptop Ultra as the flagship device.
OEMs are also on board, with RTX Spark laptops launching alongside Microsoft's Surface from brands like HP, Dell, ASUS, and MSI. Our team at Windows Central has followed NVIDIA's efforts closely since its inception and has since gone hands-on with its wave of launch devices. This is everything we know so far about RTX Spark and what we expect to see in the future.
Wikipedia’s 68m articles have been consulted trillions of times. Not bad for a website that has barely changed since it was founded 20 years ago
A few years ago, I was struck by the tension between how Wikipedia was used, and how it was talked about. Everyone was on it all the time, and yet its reputation had stalled at “don’t trust it”, because it was the “free encyclopedia that anyone can edit”.
Clearly people were trusting it, so much so it had become part of the fabric of everyday life since it was founded by Jimmy Wales and Larry Sanger in 2001. But despite the fact it now has been consulted trillions of times by billions of people (English Wikipedia alone is 5.2bn words long), it inspires an odd lack of curiosity. Even people donating to Wikipedia might say the money was “for the factcheckers”, though there aren’t any – not paid ones, anyway. Meanwhile, the internet in the social media era had begun to feel like a much uglier place, and some digital nostalgia was setting in: here was this holdover that had somehow survived; a website that functions – and even looks – much the same as it did 20 years ago.
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© Photograph: Boris Roessler/EPA
© Photograph: Boris Roessler/EPA
© Photograph: Boris Roessler/EPA
How a string of bizarre events led writer Linda Geddes to don her sleuthing cap and dig into a world of shadowy impersonators
It started with an entirely ordinary interaction on LinkedIn. Someone had tagged me in a post, saying how much they’d enjoyed contributing to a New York Post article I’d written about “chronoworking”. As the author of a book about circadian rhythms, it was exactly the sort of subject I might write about. Except I’d never heard of this person, let alone interviewed them.
I clicked on the link and my stomach dropped. There, above an article about people who organise their working lives around their biological clocks, was my name: Linda Geddes.
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© Photograph: Adrian Sherratt/The Guardian
© Photograph: Adrian Sherratt/The Guardian
© Photograph: Adrian Sherratt/The Guardian
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