Il mitico overclocker DerBauer ha raccontato nel suo ultimo video una nuova truffa che punta dritta al portafoglio degli appassionati di gaming su PC alla ricerca di una scheda video di ultima generazione. I criminali stanno perfezionando tecniche sempre più sofisticate per vendere schede apparentemente autentiche che, in realtà, sono completamente inutilizzabili: insomma, quelle note come “phantom GPU”, o schede video letteralmente vuote.
L’overclocker ha raccontato il caso di un utente che ha acquistato una Palit GeForce RTX 5090 GameRock OC usata per circa 1.800 euro. Il prezzo era molto (troppo!) inferiore rispetto a quello di mercato, attualmente quasi vicino addirittura ai 5.000 euro, almeno in Germania. Nonostante l’acquirente abbia scelto di incontrare il venditore di persona per maggiore sicurezza, non ha avuto modo di testare la scheda sul posto e ha dovuto affidarsi alle dichiarazioni del venditore. La scheda appariva perfettamente integra e intatta, ma una volta installata nel PC non ha dato segni di vita.
Depois de reunir mais de 2.000 participantes na primeira edição, a Lisbon AI Week regressa este mês com uma nova programação dedicada à IA, entre conferências, workshops, hackathons e encontros que juntam especialistas, investigadores e profissionais.
The Trump administration will confront Australia over its plan to force digital platforms to take down harmful content and let users opt out of algorithm-generated “for you” feeds.
Big tech companies would be fined more than $100m for breaching the proposed laws and the Australian government is under pressure to raise those fines even further.
La Asamblea General ha respaldado por 164 votos a 1 el uso de proyecciones de áreas equivalentes como Equal Earth. No es obligatorio, pero cambia el mapa por defecto del mundo.
Muse, Meta’s new A.I. agent, acts as a personal digital assistant that connects to Facebook and Instagram, as well as third-party apps such as Spotify and OpenTable.
The discussion of communication communication technologies continues as the panel of Chuck Joiner, Jeff Gamet, and Marty Jencius make the jump from telegraphs and long-distance calls to texting, smartwatches, satellite connectivity, and possible implanted devices. How science fiction anticipated so many of today’s modern communications questions such as convenience, safety, privacy, tracking, and social change wrap […]
De escovas de dentes com câmaras e exoesqueletos a robots de limpeza que trabalham em conjunto e “companheiros” de IA, a IFA 2026 também serviu de palco a uma variedade de gadgets com ideias pouco convencionais, entre conceitos experimentais e produtos a caminho das lojas.
En la meseta de Aragatsotn, al pie del monte homónimo, se alza el yacimiento de Aruch, un lugar que fue mucho más que una fortaleza. Entre los siglos XII y XIII, sus muros albergaron una residencia de alto rango con pavimentos de losas y cisternas; pero con el tiempo, ese espacio señorial se fragmentó en […]
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Uno de los enfrentamientos más extraños y sangrientos que mantuvieron la Rus de Kiev y el Imperio Bizantino tuvo lugar en el primer cuarto del siglo XI, cuando a una expedición procedente de la primera que viajaba a Constantinopla para enrolarse en la Guardia Varega se le impidió entrar en la ciudad por no querer […]
John Ternus has entered one of the most visible positions in global business without trying to turn his first days into a personal media event. The new CEO arrived with a remarkably discreet public profile, a newly opened social presence and decades of work completed mostly behind Apple’s products.
His X account, @johnternus, appeared publicly on September 1, the day he officially succeeded Tim Cook. Its biography contained only the company logo and his new title. The first post was even shorter: “hello.”
The simplicity felt consistent with an executive who has spent most of his career explaining materials, engineering decisions and manufacturing improvements rather than building a public personality. It also created a sharp contrast with the scale of the position he now occupies.
Ternus can remain personally reserved, but the CEO role will repeatedly place him before customers, employees, investors, governments and developers. His first social post may have been quiet. The responsibilities arriving behind it are anything but.
John Ternus Arrives Without a Personal Media Machine
Ternus did not maintain a prominent public social account during his years leading hardware engineering. Most customers encountered him through carefully produced product presentations, occasional interviews or appearances focused on a particular device.
Even within those settings, his style remained technical and controlled. He usually spoke about engineering choices, durability, materials, performance and the work required to turn a design into a product that could be manufactured at enormous scale.
His new X account does not immediately change that character. Opening a channel is different from revealing a private life or becoming a daily commentator. The minimal introduction suggests a place for official communication rather than an invitation into every passing thought.
That would follow an established pattern for senior leadership. Tim Cook used his public account to acknowledge product launches, employees, social causes, environmental initiatives, community visits and major events. His posts rarely became extended personal debates.
Ternus may adopt a similar rhythm, although the account is too new to define its purpose. One word and a short biography cannot tell us how frequently he will post, which subjects he will address or whether he will write directly during moments of controversy.
The restrained opening still served one practical purpose. It established an authenticated public identity before unofficial profiles, impersonators and parody accounts could occupy the space around a newly appointed CEO.
John Ternus | Image Credit: Apple Inc.
A Career Built Behind the Hardware
The limited public profile should not be mistaken for limited influence inside the company.
Ternus joined the product design team in 2001 and became a vice president of hardware engineering in 2013. He entered the executive team as senior vice president in 2021, eventually overseeing engineering work across iPhone, iPad, Mac, AirPods and Apple Watch.
His official biography credits him with an instrumental role in the introduction of iPad and AirPods, along with work across multiple generations of the company’s largest product lines. It also connects his leadership to improvements in reliability, durability, materials, repairability and environmental performance.
This background gives Ternus a different starting point from a CEO recruited principally through finance, sales, software or public policy. He arrives from the part of the organization responsible for making difficult designs function consistently outside a laboratory.
Hardware engineering at this scale reaches far beyond choosing a processor or shaping an enclosure. It requires coordinating displays, batteries, cameras, radios, thermal systems, structural materials, manufacturing equipment, repair procedures and supplier capacity. A small change can affect production across millions of units.
That experience may explain part of his measured communication style. Engineering organizations reward details that survive testing. Public attention often rewards immediate confidence. Ternus has spent his career in an environment where confidence eventually meets a drop test, production line or repair bench.
His public appearances have often carried the same discipline. He tends to explain what a product team accomplished without placing himself at the center of the accomplishment.
The CEO Role Changes the Audience
Leading hardware engineering allowed Ternus to speak after a product decision had passed through years of development. As CEO, he will also need to speak while difficult questions remain unresolved.
Investors will expect him to explain spending, growth and long-term priorities. Governments will want answers about manufacturing, competition, privacy and platform control. Employees will look for direction as artificial intelligence, robotics, home technology, augmented reality and satellite communications create new opportunities across the company.
Customers will judge him through products, but they will also hear his response when a launch disappoints, a service fails or a policy creates frustration.
This is where a discreet profile can become either an advantage or a limitation.
A CEO who does not comment constantly preserves the weight of the moments when he chooses to speak. Fewer posts also reduce the chance that a hurried reaction becomes the story instead of the company’s work.
Silence becomes harder to maintain when people expect reassurance. Product defects, security incidents, employee concerns and political disputes can create situations in which a carefully prepared statement feels too distant. Ternus will have to decide when restraint protects the company and when it begins to look like avoidance.
Cook will remain involved as executive chairman and is expected to assist with areas including engagement with policymakers. That arrangement gives Ternus continuity during the transition without removing the need to develop his own public authority.
The distinction between their roles will become more visible with time. Cook can offer experience and institutional relationships, but employees and customers need to recognize which priorities belong to the new CEO.
A More Technical Public Voice Could Work
Ternus does not need to imitate Steve Jobs’ stage presence or Cook’s diplomatic style. A convincing public identity can grow from the expertise that brought him to the position.
The most natural version would be an engineering-minded CEO who explains trade-offs without turning every decision into a slogan. Product design is full of compromises involving battery life, weight, cost, durability, repairability and production capacity. Carefully explaining some of those decisions could make corporate communication more informative.
His 2024 commencement appearance at Penn Engineering offered a rare view outside a product presentation. Ternus returned to the university where he earned his mechanical engineering degree and addressed students as an experienced engineer rather than a celebrity executive.
That type of setting allows more personality to appear without requiring constant social posting. Longer interviews, engineering discussions, employee conversations and educational appearances may suit him better than trying to manufacture spontaneity several times a day.
A restrained profile could also reinforce collaboration. The products reaching customers are built by large teams, and Ternus has generally presented himself as a representative of that work. Maintaining that tone as CEO would keep attention on the organization rather than turning every announcement into a personal performance.
The difficulty will be preserving technical depth while discussing areas beyond hardware. Services, entertainment, artificial intelligence, software platforms and international policy cannot always be explained through materials and manufacturing. The CEO must connect them into one recognizable direction.
His First Major Appearances Will Define the Account
The opening “hello” gives Ternus room to decide how visible he wants to become.
Upcoming product events will offer an early test. A social account can distribute announcements and photographs, but the stage will reveal more: which subjects he chooses to introduce, how much technical detail he includes and whether he remains present throughout the presentation or delegates most of it to other executives.
Earnings calls will create a different test. Product videos are rehearsed around finished work; financial discussions require direct answers about demand, margins, investment and risks. His language in those conversations will begin shaping how investors understand the new administration.
Internal communication may prove equally influential even when the public sees only fragments. Employees will listen for signals about decision-making speed, tolerance for experimentation and the relationship between engineering ambition and commercial discipline.
The X account can support that work, but it cannot substitute for it. A polished stream of product announcements would tell customers what has shipped. Occasional direct messages during difficult moments would reveal more about how Ternus intends to lead.
For now, the empty space around his first post is part of the story. The next useful signal may not be how often John Ternus speaks, but which moment persuades this notably private engineer that the CEO should speak in his own voice.
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Nvidia dominates AI with its GPUs, and the company generates billions of dollars in revenue through a proprietary approach to the fast-moving technology. Hugging Face, on the other hand, hosts open models and has been a neutral player between chip vendors and model labs.
“This is about Nvidia having more say in how the stack gets built,” said Stephanie Walter, analyst at Hyperframe Research.
Hugging Face is wildly popular with developers, and Nvidia is buying early influence with that crowd. “You have a better chance of being part of the production environment later,” Walter said, adding that she wasn’t sure how Nvidia reached a nearly $13 billion price tag for the acquisition.
“Hugging Face has near-uncontested market primacy over where developers go for open-weight model releases. Now Nvidia owns that,” said Mark Petty, senior director analyst at Gartner.
Nvidia’s chase for developers should force IT decision-makers to review how much of the AI stack they control, said Hector Liu, director of Institute of Foundation Models’ Silicon Valley Lab. IFM is part of the Abu Dhabi-based Mohamed bin Zayed University of Artificial Intelligence.
Liu said CIOs should ask themselves three questions: “Can you run the model on hardware you already have, without a dependency you didn’t choose? Can you see how it was built?” And, “is the license one you can build a business on?
“A model that passes all three is durable, no matter who buys whom next year,” Liu said.
IFM’s latest K2 Horizon model, which was introduced on the same day Nvidia’s deal was announced, is hosted on Hugging Face. The open model was built to answer all of those questions.
K2 Horizon runs on AI hardware from Nvidia, AMD, Cerebras, and major cloud providers, said Liu, who doesn’t expect that to change. “Nvidia has said Hugging Face stays an open platform for every builder and every accelerator, and we’ll take that at face value,” Liu said.
Nvidia pledged to maintain Hugging Face’s hardware and model independence, and said its compute won’t be required.
Even so, Nvidia isn’t paying nearly $13 billion for a model repository, said Jake Newfield, CEO at Hermetiq — it’s buying the front door to open AI.
(Hermetiq develops AI build and code observability tools.)
AI-generated output is becoming abundant and the infrastructure that makes it testable, reproducible and deployable is becoming strategically valuable, Newfield said. “Nvidia can accelerate it with capital and compute, but the real test is operational neutrality,” he said.
That involves assessing whether competing hardware remains equally supported across the tooling, benchmarks and deployment paths developers actually use, Newfield said.
Beyond distribution, Nvidia is also buying Hugging Face for data, Petty said. That data showed that agents overtook humans as its largest traffic source in July, the kind of insight that could prove valuable down the road.
“Every model pulled tells Nvidia what the market wants next,” Petty said.
Nvidia has every reason to grow demand for open models and to keep them cheap, Petty said. “That’s good for enterprises, as it prevents market consolidation around a small number of proprietary model owners,” Petty said.
Closed and open models will coexist and lead to a world “where you’re going to continue to train these models and run these models at scale,” Justin Boitano, Nvidia’s vice president for Enterprise AI, said in a press conference after the deal’s announcement.
Nvidia will benefit “through the training that’s done and the inference that’s done on our hardware as models get diffused into the ecosystem at scale,” Boitano said.
That’s one motivation to keep the ecosystem open and neutral, so “developers can work wherever they want to work,” Boitano said.
Open source makes AI more accessible by lowering the barriers to experimentation and adoption, said Jon Carvill, senior vice president of marketing at AI chip maker Nuvacore. “Bringing Nvidia and Hugging Face closer together should help accelerate that choice, access and innovation,” Carvill said.
But there are still unanswered questions around whether Hugging Face will remain open and how much proprietary control Nvidia might exert, said Jack Gold, principal analyst at J. Gold Associates.
Microsoft traveled a similar path with its acquisition of open-source repository GitHub, which “did not really pan out as well as Microsoft hoped,” Gold said. “With Nvidia’s acquisition, will it still be as open to competitive hardware-software access, or will there be some barriers employed?”
Nvidia has released a free tool that will enable users to build an AI inferencing cluster from disparate PCs on the same network, accessible from a single interface.
Released as a beta, Nvidia Personal AI router (PAIR) connects devices running Windows, macOS or Linux to process AI inferencing workloads privately.
While the system is aimed primarily at home users, it could find favour with enterprises looking to put idle desktop compute capacity to use.
PAIR works with DGX Spark desktop supercomputers, PCs containing RTX GPUs, and some MacOS devices. The systems in the cluster run tasks in parallel, but PAIR does not turn them into a virtual GPU, Nvidia said.
NVIDIA has confirmed new details and availability info about its upcoming RTX Spark SoC for Windows 11 devices. At IFA 2026, the company announced that it expects the first RTX Spark laptops to begin shipping as soon as next month, sometime in October depending on the OEM. Additionally, two new devices are joining the launch lineup; the Lenovo Yoga 9n laptop and Acer SFF desktop PC.
Alongside availability news, NVIDIA has also confirmed configuration details for the upcoming RTX Spark chips. There will be two different configurations of the RTX Spark N1X, with configurable RAM and storage based on what OEMs wish to offer. The high-end RTX Spark will be targeted at desktops and laptops, with support for up to 128GB unified memory, 20 CPU cores, and 6144 Blackwell RTX cores.
There will also be a less powerful RTX Spark configuration exclusively for laptops, which can only be configured with 24GB or 32GB unified memory, a 5120-Core Blackwell RTX GPU, and an 18-core CPU. While still a high-end chip, this should allow RTX Spark to ship in laptops that cost closer to $2,000, significantly lower priced than the high-end SoC.
Category
Specification 1
Specification 2
GPU Cores
6144-core Blackwell RTX GPU
5120-core Blackwell RTX GPU
CPU Cores
20-core Grace CPU
18-core Grace CPU
Memory
24-128 GB Unified Memory
24-32 GB Unified Memory
Form Factors
Laptops and Compact Desktops
Laptops
NVIDIA is touting RTX Spark as the best SoC for AI development on Windows. It supports NVIDIAs full AI stack, as well as the Windows Agent Framework and 120B parameter agents. It also supports hardware accelerated 4:2:2 video for video editing professionals.
While the first RTX Spark devices are expected to begin shipping in October, it's not yet clear which OEMs will be first out the gate. All major Windows hardware makers, including Dell, Lenovo, HP, ASUS, and Microsoft have all announced RTX Spark devices that are expected to ship by the end of this year. Devices like the Surface Laptop Ultra have not yet been given a release date, though Microsoft typically does aim to ship new Surface PCs in October.
We'll be sure to keep you updated on all the RTX Spark device availability as more information is revealed by OEMs. In the meantime, are you considering an RTX Spark device as your next Windows PC? Let us know in the comments!
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If you're not a keen follower of the AI space, then the name Hugging Face may not mean anything to you. But the company has just been acquired by NVIDIA, which continues to reinforce its new identity as an AI company.
Hugging Face is an open platform that has been likened to GitHub, except for local, open AI models that anyone can use. NVIDIA's plans are to keep Hugging Face the same as it is today but to scale. Because if you're not scaling AI these days, what are you even doing?
"Hugging Face will remain an open platform for the entire AI ecosystem. Developers will choose the models they want, the frameworks they want, the clouds and inference service providers they want and the computing platforms they want. NVIDIA compute will not be required to build on or deploy through Hugging Face.
Hugging Face will continue to support open source and open weight models from across the ecosystem, from every model builder. It will continue to support multi-cloud and multi-accelerator development and deployment, so builders can use the hardware and infrastructure that best fit their work."
Keeping personal opinions about AI aside, I'm certainly more in favor of real people being able to use AI models without having to rely on massive, un-evironmentally friendly data centers from the likes of Microsoft and OpenAI.
AI is very much here to stay, whether we choose to embrace it or not. But I'm definitely on the side of being able to use it however you want to use it and without feeding all your data to companies that don't necessarily deserve it.
NVIDIA is very much AI-first these days, though. Gone are the days we'd all look at its shiny new GPUs, and our only thoughts would be about gaming. It does make you ponder what the future holds for gamers, though.
I've got an RTX 5090, for example, and it's still overkill for gaming. But with 32GB of VRAM and a ton of compute horsepower, it's pretty damn good for local AI use. But is this where future products will be aligned first? Everything's getting more expensive, and AI is definitely to blame for a good chunk of it.
Alas, here we are. If you use Hugging Face currently, it doesn't sound like anything's going to change. But if you're a gaming customer of the company, as I am, I am starting to wonder how important we're going to be in the future.
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