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Not a joke: Here is why Apple sent a warning message to iPhone users in 100 countries

Not a joke: Here is why Apple sent a warning message to iPhone users in 100 countries

India Today01-05-2025

Apple is warning many iPhone users across the world about targeted spyware attacks. In recent days, many iPhone users, including some journalists, have reportedly received alarming notifications that they may be victims of what the company calls 'mercenary spyware.' The company has confirmed that these notifications were sent to affected users in 100 countries — over 150 countries in total.Apple says that these alerts are part of its official threat notification system, which the company uses to inform users of serious cybersecurity risks — specifically, those involving highly sophisticated spyware campaigns. According to Apple's support page, the notified spyware attacks are 'targeted mercenary spyware attacks,' often carried out by private companies that develop surveillance tools and sell them to governments.advertisementApple explains that these attacks are highly selective and expensive to deploy, targeting individuals not at random but because of 'who they are or what they do.'
In the recent wave of alerts, among the iPhone users who reveal they received the notification are Eva Vlaardingerbroek, a Dutch right-wing commentator, and Ciro Pellegrino, an Italian journalist associated with the online outlet Fanpage, reports TechCrunch. Vlaardingerbroek posted on X (formerly Twitter), stating that she received the warning and viewed it as an attempt to intimidate or silence her. Pellegrino confirmed in an article that he was notified via both email and text message. He made it clear that this was no prank or phishing scheme, writing, 'Yes, it is not a joke.'
Post shared by Eva Vlaardingerbroek on X (Formally Twitter)
advertisementIn the warning message, Apple told recipients that it had 'detected a targeted mercenary spyware attack against your iPhone.' The company informed them that this attack is aimed at gaining entry into a specific iPhone. 'This attack is likely targeting you specifically because of who you are or what you do. Although it's never possible to achieve absolute certainty when detecting such attacks, Apple has high confidence in this warning. Please take it seriously,' reads Apple's notification, as shared by recipients.This isn't the first time Apple has issued such warnings. The company has previously alerted users when they were being targeted by similar spyware. In July 2024, a similar wave of notifications was sent, though the details of that campaign remain undisclosed. Apple stresses that while the majority of iPhone users will never be targeted in this way, the attacks are serious enough that those who receive a notification should not ignore it. The company notes that if it detects activity consistent with a mercenary spyware attack, it notifies the targeted users in two ways: 'A Threat Notification is displayed at the top of the page after the user signs in to account.apple.com, and it sends an email and iMessage notification to the email addresses and phone numbers associated with the user's Apple Account.'

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Thinking AI models collapse in face of complex problems, Apple researchers find
Thinking AI models collapse in face of complex problems, Apple researchers find

Hindustan Times

time39 minutes ago

  • Hindustan Times

Thinking AI models collapse in face of complex problems, Apple researchers find

Just days ahead of the much-anticipated Worldwide Developer Conference (WWDC), Apple has released a study titled 'The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity', which saw researchers testing 'reasoning'; AI models such as Anthropic's Claude, OpenAI's o models, DeepSeek R1 and Google's Thinking models to see how far they can scale to replicate human reasoning. Spoiler alert — not as much, as the entire AI marketing pitch, would have you believe. Could this signal what may be in store for Apple's AI conversation ahead of the keynote? The study questions the current standard evaluation of Large Reasoning Models (LRMs) using established mathematical and coding benchmarks, arguing they suffer from data contamination and don't reveal insights into reasoning trace structure and quality. Instead, it proposes a controlled experimental testbed using algorithmic puzzle environments. The limitations of AI benchmarking, and need to evolve, is something we had written about earlier. 'We show that state-of-the-art LRMs (e.g., o3-mini, DeepSeek-R1, Claude-3.7-Sonnet-Thinking) still fail to develop generalizable problem-solving capabilities, with accuracy ultimately collapsing to zero beyond certain complexities across different environments,' the researcher paper points out. These findings are a stark warning to the industry — current LLMs are far from general-purpose reasoners. The emergence of Large Reasoning Models (LRMs), such as OpenAI's o1/o3, DeepSeek-R1, Claude 3.7 Sonnet Thinking, and Gemini Thinking, has been hailed as a significant advancement, potentially marking steps toward more general artificial intelligence. These models characteristically generate responses following detailed 'thinking processes', such as a long Chain-of-Thought sequence, before providing a final answer. While they have shown promising results on various reasoning benchmarks, the capability of benchmarks to judge rapidly evolving models, itself is in doubt. The researchers cite a comparison between non-thinking LLMs and their 'thinking' evolution. 'At low complexity, non-thinking models are more accurate and token-efficient. As complexity increases, reasoning models outperform but require more tokens—until both collapse beyond a critical threshold, with shorter traces,' they say. The illustrative example of the Claude 3.7 Sonnet and Claude 3.7 Sonnet Thinking illustrates how both models retain accuracy till complexity level three, after which the standard LLM sees a significant drop, something the thinking model too suffers from, a couple of levels later. At the same time, the thinking model is using significantly more tokens. This research attempted to challenge prevailing evaluation paradigms, which often rely on established mathematical and coding benchmarks, which are otherwise susceptible to data contamination. Such benchmarks also primarily focus on final answer accuracy, providing limited insight into the reasoning process itself, something that is the key differentiator for a 'thinking' model compared with a simpler large language model. To address these gaps, the study utilises controllable puzzle environments — Tower of Hanoi, Checker Jumping, River Crossing, and Blocks World — and these puzzles allow for precise manipulation of problem complexity while maintaining consistent logical structures and rules that must be explicitly followed. That structure theoretically opens a window, a glance at how these models attempt to 'think'. The findings from this controlled experimental setup reveal significant limitations in current frontier LRMs. One of the most striking observations is the complete accuracy collapse that occurs beyond certain complexity thresholds across all tested reasoning models. This is not a gradual degradation but a sharp drop to near-zero accuracy as problems become sufficiently difficult. 'The state-of-the-art LRMs (e.g., o3-mini, DeepSeek-R1, Claude-3.7-Sonnet-Thinking) still fail to develop generalizable problem-solving capabilities, with accuracy ultimately collapsing to zero beyond certain complexities across different environments,' note the researchers. These results inevitably challenge any notion that the LRMs truly possess generalisation problem-solving skills, required for planning tasks or multi-step processes. The study also identifies a counter-intuitive scaling limit in the models' reasoning effort (this is measured by the inference token usage during the 'thinking' phase), which sees these models initially spend more tokens, but as complexity increases, they actually reduce reasoning effort closer to the inevitable accuracy collapse. Researchers say that 'despite these claims and performance advancements, the fundamental benefits and limitations of LRMs remain insufficiently understood. Critical questions still persist: Are these models capable of generalizable reasoning, or are they leveraging different forms of pattern matching?,' they ask. There are further questions pertaining to performance scaling with increasing problem complexity, comparisons to the non-thinking standard LLM counterparts when provided with the same inference token compute, and around inherent limitations of current reasoning approaches, as well as improvements that might be necessary to advance toward more robust reasoning. Where do we go from here? The researchers make it clear that their test methodology too has limitations. 'While our puzzle environments enable controlled experimentation with fine-grained control over problem complexity, they represent a narrow slice of reasoning tasks and may not capture the diversity of real-world or knowledge intensive reasoning problems,' they say. They do add that the use of 'deterministic puzzle simulators assumes that reasoning can be perfectly validated' at every step, a validation that may not be feasible to such precision in less structured domains. That they say, would restrict validity of analysis to more reasoning. There is little argument that LRMs represent progress, particularly for the relevance of AI. Yet, this study highlights that not all reasoning models are capable of robust, generalisable reasoning, particularly in the face of increasing complexity. These findings, ahead of WWDC 2025, and from Apple's own researchers, may suggest that any AI reasoning announcements will likely be pragmatic. The focus areas could include specific use cases where current AI methodology is reliable (the research paper indicates lower to medium complexity, less reliance on flawless long-sequence execution) and potentially integrating neural models with traditional computing approaches to handle the complexities where LRMs currently fail. The era of Large Reasoning Models is here, but this 'Illusion of thinking' study is that AI with true reasoning, remains a mirage.

Apple's iOS 26 rumors swirl ahead of WWDC 2025 — get ready for the biggest update in years
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Apple's iOS 26 rumors swirl ahead of WWDC 2025 — get ready for the biggest update in years

Everything We Know About iOS 26 Ahead of Apple WWDC 2025- Apple fans are buzzing as WWDC 2025 is just around the corner, set for June 9 to 13. The big question on everyone's mind: what will iOS 26 bring? This year, Apple is expected to reveal major changes to its iPhone software, but with a surprising twist — the name itself. Instead of iOS 19, Apple is reportedly jumping straight to iOS 26, aligning its software names with the year, as Bloomberg's Mark Gurman first revealed. With whispers of a fresh design, new features, and smarter tech, iOS 26 looks set to shake things up. Why is Apple skipping to iOS 26 instead of iOS 19? The biggest shock from recent leaks is the new naming scheme. Apple plans to drop the traditional numbering and instead call this year's update iOS 26, matching the year 2026. This move will affect all Apple platforms — macOS, watchOS, tvOS, and visionOS will also adopt the "26" suffix. This change was first reported by Bloomberg's Mark Gurman, a trusted source for Apple news. It makes the software lineup simpler to understand but could confuse some users at first. Still, it's a fresh start and a signal Apple is ready for a big change. What new design changes will iOS 26 bring? Rumors say iOS 26 will introduce one of the most dramatic design overhauls in Apple's history. Gurman reported back in March that Apple plans to refresh app icons, menus, system buttons, and overall app behavior. The design is expected to borrow elements from the Apple Vision Pro headset, aiming to create a more unified look across all Apple devices. This means your iPhone's interface could look more modern and clean, matching the futuristic feel of Apple's latest tech. If true, this redesign could make using your iPhone feel fresh and exciting. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like IIT Delhi AI Programme IITD TAILP Apply Now Undo Could iOS 26 finally bring a desktop mode to iPhone? One of the most talked-about rumors is the possibility of a desktop mode for iPhones. Tech leaker Majin Bu suggests that Apple is working on letting iPhones with USB-C ports connect to external displays, similar to how a MacBook or iPad works with a bigger screen. This feature could mimic Apple's Stage Manager multitasking system, giving iPhone users more space to work and multitask. While it's an exciting idea, this is still just a rumor, so don't get your hopes up just yet — but it's a feature many users would love to see. Will iOS 26 improve iPhone battery life with AI? Battery life is always a top priority for iPhone users, and Forbes recently reported that iOS 26 might come with an AI-powered battery management system. This smart feature would help your phone last longer by optimizing how it uses power throughout the day. It could learn your habits and adjust settings automatically to save energy without you even noticing. For people constantly running out of battery, this could be a game changer, making iPhones more reliable on the go. Live Events What about live translation with AirPods in iOS 26? Another exciting rumor from Gurman is that iOS 26 could add live translation directly through AirPods. Imagine having your iPhone listen to a foreign language and instantly play a translation right in your ear. It's similar to features already available on Google Pixel Buds or Samsung Galaxy Buds. This would be a great tool for travelers or anyone communicating in different languages. While Google's recent live demo had some hiccups, Apple might perfect this tech by the time iOS 26 launches. Is Apple ready to compete in AI with iOS 26? Apple has been criticized for falling behind rivals like ChatGPT and Google's Gemini in artificial intelligence. The company's AI assistant, Siri, hasn't seen a major upgrade in a while. Although there were expectations of a big AI push at WWDC 2025, rumors suggest Apple Intelligence, the company's AI system, may not be ready to shine just yet. So, while we might see some AI improvements in iOS 26, don't expect the kind of fireworks Google showed off earlier this year. Apple seems to be taking its time to get AI right rather than rushing out new features. When and how can you watch WWDC 2025? WWDC 2025 kicks off on June 9 at 10 a.m. PT, running through June 13. Apple describes the event as 'a week of technology and creativity.' You can watch the keynote live on Apple's website or through their app. Many news sites, including Mashable, will cover the event live, so you won't miss any announcements about iOS 26 and other Apple software updates. FAQs: What is iOS 26 and when will it launch? iOS 26 is Apple's new iPhone software update launching at WWDC 2025 on June 9. Will iOS 26 improve iPhone battery life? Yes, iOS 26 may include AI-powered battery management for longer phone usage.

The many faces of Elon Musk
The many faces of Elon Musk

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The many faces of Elon Musk

He is the man who reportedly inspired Robert Downey Jr's legendary Iron-Man (and even had a brief cameo in one of the films). He is also the richest man in the world who took on the most powerful man in the world. Even before he crossed verbal swords with Donald Trump in a social media slugfest, the likes of which the world had never seen, Elon Musk has never been shy of a battle or the spotlight. From making Tesla an EV leader to taking over Twitter to providing Internet connectivity to Ukraine to making plans to colonise Mars and smoking weed on a live show, Musk is seldom far from the headlines. Like many mavericks, he inspires adoration and anger in equal measure — some think he is a megalomaniac out to conquer the world, others see him as a tech genius who will save humankind, taking it out of woke clutches and guiding it towards a brighter, EV-driven future. Love him or hate him (and the current US President has managed to do both within months), you ignore Elon Musk at your peril. Not surprisingly, the Tesla and Twitter boss and former DOGE-man has inspired many authors. If you want to read up on the man, here are some of the best options. For those new to the Musk tale (which planet have you been on? Mars?), Ashlee Vance's Elon Musk: How The Billionaire CEO of SpaceX and Tesla is Shaping Our Future (also available as Elon Musk: Tesla, SpaceX and the Quest for a Fantastic Future) is a great starting point. Vance tells a good story and although some might find his portrayal of Musk a little too positive ('He is the possessed genius on the grandest quest anyone has ever concocted,' he gushes about his Mars mission at one stage), the book is a quick, easy read and flows smoothly from one phase of life to another. While Vance highlights events and people who shaped Musk's character, he also gives us an excellent and rather perceptive look at the man who is Elon Musk. This is believed to be the first book in which Musk collaborated with the author, although he claims to have never influenced the final version, and the result is that you get to see a very personal picture of a man who seems driven and organised to the point of being almost disturbed (there is a part when he tries to work out how much time a woman would want from him in a week!). There is not as much detail of his early life (although some hints are dropped about it being tough) but for those wanting to know more about Musk the entrepreneur and eccetric genius, the book is a treasure trove and at around 416 pages, not an intimidating read at all. The book was released in 2015 and an updated version was released in 2021. We hear another update is in works and will hit stands this winter, but until then, this is a great introduction to Elon Musk. While Vance's book is a great starting book for those who want to get a racy, entertaining (and generally positive) look at the Musk life, for those who want a really detailed look at the billionaire, nothing comes close to Walter Isaacson's Elon Musk. Isaacson is known for his exhaustive biographies of other eccentric geniuses like Steve Jobs, Albert Einstein and Leonardo da Vinci, and he handles Musk in pretty much the same way. The book revolves around a number of interviews with the people who have played a role in Musk's life and unlike Vance, Isaacson's picture of Musk is not an overly rosy one. Just as he did not try to analyse Jobs but let other people and incidents push the narrative, Isaacson lets his colleagues, friends and even rivals speak freely of Musk, letting the reader draw conclusions. Musk has again collaborated with the book and significantly has opened up about his disturbing childhood, featuring a father described as a sociopath and a 'Jekyll and Hyde' figure, who was not averse to severely abusing his son. Such is the impact of his father that Isaacson speculates whether this might not have made Musk the moody, unpredictable and often harsh person he is. There are also details of his almost brusque, bordering on insensitive interactions with his colleagues and rivals. This is Elon Musk, warts and all, as seen by those near him and himself. It was released in 2023, so there is not as much on Musk's takeover of Twitter and his subsequent handling of the social media, and virtually no mention of his role in the US Presidential elections and DOGE, but this still remains pretty much THE book to read on Elon Musk, although at almost 700 pages, it can sometimes feel a little overwhelming. Be patient with it, and you will be rewarded with the most comprehensive picture of Musk that any book can give, While Vance's and Isaacson's books tell us a lot about Elon Musk, both suffer from ending well before Musk's most public stint of all – his takeover of Twitter, and involvement in Donald Trump's election. While those chapters in Musk's life are ongoing, those who want a book that covers at least some of them should try Faiz Siddiqui's recently-released, dramatically titled Hubris Maximus: The Shattering of Elon Musk, a 330-page book which revolves around Musk's recent work at Tesla and Twitter. Siddiqui details Musk's unrelenting, stubborn and often bulldozing style of work in detail, alleging that he was often economical with the truth while tackling matters. The book also covers the challenges he faced at Tesla and Twitter (and why he rebranded it as X) and how he (mis)handled them. If Vance seemed a little too positive towards Musk in his book, Siddiqui seems to go to the other extreme, highlighting Musk's dark side time and again. The result is a narrative that is compelling but at times a little too negative. That said, this is easily the best book on Musk's recent roles, with a lengthy afterword on Musk's involvement in Trump's campaign and his appointment in DOGE. Siddiqui ends with what now seem like rather prophetic words: 'Even if DOGE is a big success…history has shown that he (Musk) is unlikely to be satisfied; the pattern shows he'll try to seek more power and responsibility, to go all-in on the next moon shot, And if it isn't, and his 'samurai spirit' calls him to commit seppuku rather than admit failure, he very well might take a lot of us with him next, before dusting himself off and trying again.' But what of the voice of the man himself? Elon Musk has not yet written his autobiography (we so hope he will), but if you are interested in reading his take on life and work in his own words, then the very appropriately Elon Musk in His Own Words, a slim volume edited by Jessica Easto is an excellent option. It was first released in 2017 and the latest edition is updated to 2020, so it can seem a little dated, but is a very handy collection of some of his most notable quotations over time on subjects. You can get Musk's take on topics as varied as early life ('When I was a kid…I was a bit of a smart aleck. It was a recipe for disaster, 'the best teacher I ever had was my elementary school principal, 'I do think a good framework for thinking is physics.'). to business ('Profit just means that people are paying you more for whatever you are doing than you're spending to create it…that's a good thing'), to personal values ('I think…it's probably a good thing that we do eventually die,' 'I think possessions kind of weigh you down, then they're kind of an attack vector.' ), and even some witty rejoinders ('Some people use their hair to express themselves; I use Twitter,'). There is even a quote from Inc magazine in 2007 that might give those alarmed at his battle with Trump some hope of a rapprochement: 'Life is too short for long-term grudges.' Will Musk return to the White House as a friend, stake a claim to it as a rival (he has tweeted about starting a political party!), or leave the US altogether and focus on Tesla, SpaceX and Twitter? One cannot rule any of those possibilities out, because as all his biographers stress time and again: You never know with Elon Musk.

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