
Apple Gears Up for Smarter Siri by March 2026, Alongside Potential "Knowledge" Chatbot Launch
Apple is reportedly preparing for a major overhaul of Siri, with its next-generation AI assistant expected to debut by March 2026, according to a new report by Bloomberg's Mark Gurman. The update, anticipated with iOS 26.4, marks a significant leap in Apple's artificial intelligence ambitions, following months of delays and restructuring behind the scenes.
The new Siri, powered by Apple's in-house large language models (LLMs), is said to be far more advanced than its current version. It promises improved contextual understanding and the ability to carry out complex, multi-step tasks based on on-screen content and user data. Internally, development has faced challenges, pushing the timeline back several times. Still, the company remains committed to getting it right—even if that means taking longer.
While Apple hasn't given a firm release date, it has maintained that the new Siri will arrive "in the coming year." This ambiguous phrasing has sparked debate over whether the AI revamp would come by late 2025 or get pushed into early 2026. Gurman's report now suggests that March 2026 is the most likely timeframe, coinciding with the usual spring iOS update cycle.
Apple initially unveiled the enhanced Siri during WWDC 2024, promising a much smarter assistant under the umbrella of "Apple Intelligence." The announcement created a buzz, especially among iPhone 16 buyers who expected the new features shortly after the launch. However, when Apple delayed the rollout earlier this March, it left many early adopters disappointed and confused.
At WWDC 2025, Apple adopted a more grounded approach. Unlike prior years, the company avoided showcasing features that were not close to launch. Most of what was announced during the keynote is already live in the first developer beta, signaling a shift toward a more cautious product strategy.
The delays reportedly stemmed from Apple's struggle to integrate a new AI system with Siri's existing architecture. Gurman notes that the hybrid model frequently failed in testing, with error rates climbing to around 33 percent. These technical issues led to internal changes, including the reassignment of John Giannandrea, Apple's AI chief, away from consumer products like Siri.
Despite setbacks, Apple's vision for Siri remains ambitious. Gurman reports that the assistant's future will include a new 'app intent' framework and a more unified system architecture. Once this AI transformation is complete, Apple could also roll out a separate product currently known as 'Knowledge'—a web-connected chatbot. Though still in development, it is being led by Robby Walker, former head of Siri.
Whether Knowledge becomes a standalone app remains unclear. Senior VP Greg Joswiak reportedly prefers Apple Intelligence to function as a seamless, integrated experience, rather than through a separate product.
In addition, a third initiative, nicknamed Siri-Copilot, is said to be in the works. This version of Siri would act as a background assistant—offering real-time suggestions, completing tasks proactively, and mirroring features like the Workout Buddy introduced in watchOS 26.
As Apple refines its AI ecosystem, these updates could mark a turning point in how users interact with their devices—smarter, more fluid, and deeply integrated.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Mint
an hour ago
- Mint
Why superintelligent AI isn't taking over anytime soon
A primary requirement for being a leader in AI these days is to be a herald of the impending arrival of our digital messiah: superintelligent AI. For Dario Amodei of Anthropic, Demis Hassabis of Google and Sam Altman of OpenAI, it isn't enough to claim that their AI is the best. All three have recently insisted that it's going to be so good, it will change the very fabric of society. Even Meta—whose chief AI scientist has been famously dismissive of this talk—wants in on the action. The company confirmed it is spending $14 billion to bring in a new leader for its AI efforts who can realize Mark Zuckerberg's dream of AI superintelligence—that is, an AI smarter than we are. 'Humanity is close to building digital superintelligence," Altman declared in an essay this week, and this will lead to 'whole classes of jobs going away" as well as 'a new social contract." Both will be consequences of AI-powered chatbots taking over all our white-collar jobs, while AI-powered robots assume the physical ones. Before you get nervous about all the times you were rude to Alexa, know this: A growing cohort of researchers who build, study and use modern AI aren't buying all that talk. The title of a fresh paper from Apple says it all: 'The Illusion of Thinking." In it, a half-dozen top researchers probed reasoning models—large language models that 'think" about problems longer, across many steps—from the leading AI labs, including OpenAI, DeepSeek and Anthropic. They found little evidence that these are capable of reasoning anywhere close to the level their makers claim. Generative AI can be quite useful in specific applications, and a boon to worker productivity. OpenAI claims 500 million monthly active ChatGPT users—astonishingly far reach and fast growth for a service released just 2½ years ago. But these critics argue there is a significant hazard in overestimating what it can do, and making business plans, policy decisions and investments based on pronouncements that seem increasingly disconnected from the products themselves. Apple's paper builds on previous work from many of the same engineers, as well as notable research from both academia and other big tech companies, including Salesforce. These experiments show that today's 'reasoning" AIs—hailed as the next step toward autonomous AI agents and, ultimately, superhuman intelligence—are in some cases worse at solving problems than the plain-vanilla AI chatbots that preceded them. This work also shows that whether you're using an AI chatbot or a reasoning model, all systems fail utterly at more complex tasks. Apple's researchers found 'fundamental limitations" in the models. When taking on tasks beyond a certain level of complexity, these AIs suffered 'complete accuracy collapse." Similarly, engineers at Salesforce AI Research concluded that their results 'underscore a significant gap between current LLM capabilities and real-world enterprise demands." Importantly, the problems these state-of-the-art AIs couldn't handle are logic puzzles that even a precocious child could solve, with a little instruction. What's more, when you give these AIs that same kind of instruction, they can't follow it. Apple's paper has set off a debate in tech's halls of power—Signal chats, Substack posts and X threads—pitting AI maximalists against skeptics. 'People could say it's sour grapes, that Apple is just complaining because they don't have a cutting-edge model," says Josh Wolfe, co-founder of venture firm Lux Capital. 'But I don't think it's a criticism so much as an empirical observation." The reasoning methods in OpenAI's models are 'already laying the foundation for agents that can use tools, make decisions, and solve harder problems," says an OpenAI spokesman. 'We're continuing to push those capabilities forward." The debate over this research begins with the implication that today's AIs aren't thinking, but instead are creating a kind of spaghetti of simple rules to follow in every situation covered by their training data. Gary Marcus, a cognitive scientist who sold an AI startup to Uber in 2016, argued in an essay that Apple's paper, along with related work, exposes flaws in today's reasoning models, suggesting they're not the dawn of human-level ability but rather a dead end. 'Part of the reason the Apple study landed so strongly is that Apple did it," he says. 'And I think they did it at a moment in time when people have finally started to understand this for themselves." In areas other than coding and mathematics, the latest models aren't getting better at the rate that they once did. And the newest reasoning models actually hallucinate more than their predecessors. 'The broad idea that reasoning and intelligence come with greater scale of models is probably false," says Jorge Ortiz, an associate professor of engineering at Rutgers, whose lab uses reasoning models and other cutting-edge AI to sense real-world environments. Today's models have inherent limitations that make them bad at following explicit instructions—the opposite of what you'd expect from a computer, he adds. It's as if the industry is creating engines of free association. They're skilled at confabulation, but we're asking them to take on the roles of consistent, rule-following engineers or accountants. That said, even those who are critical of today's AIs hasten to add that the march toward more-capable AI continues. Exposing current limitations could point the way to overcoming them, says Ortiz. For example, new training methods—giving step-by-step feedback on models' performance, adding more resources when they encounter harder problems—could help AI work through bigger problems, and make better use of conventional software. From a business perspective, whether or not current systems can reason, they're going to generate value for users, says Wolfe. 'Models keep getting better, and new approaches to AI are being developed all the time, so I wouldn't be surprised if these limitations are overcome in practice in the near future," says Ethan Mollick, a professor at the Wharton School of the University of Pennsylvania, who has studied the practical uses of AI. Meanwhile, the true believers are undeterred. Just a decade from now, Altman wrote in his essay, 'maybe we will go from solving high-energy physics one year to beginning space colonization the next year." Those willing to 'plug in" to AI with direct, brain-computer interfaces will see their lives profoundly altered, he adds. This kind of rhetoric accelerates AI adoption in every corner of our society. AI is now being used by DOGE to restructure our government, leveraged by militaries to become more lethal, and entrusted with the education of our children, often with unknown consequences. Which means that one of the biggest dangers of AI is that we overestimate its abilities, trust it more than we should—even as it's shown itself to have antisocial tendencies such as 'opportunistic blackmail"—and rely on it more than is wise. In so doing, we make ourselves vulnerable to its propensity to fail when it matters most. 'Although you can use AI to generate a lot of ideas, they still require quite a bit of auditing," says Ortiz. 'So for example, if you want to do your taxes, you'd want to stick with something more like TurboTax than ChatGPT." Write to Christopher Mims at


News18
2 hours ago
- News18
iPhone Users Can Finally Know When Their Battery Will Die
Last Updated: iPhone battery management is getting better thanks to the new features added thanks to the iOS 26 update. The iOS 26 update is bringing a useful feature for iPhones Apple is finally making it easy to know when your iPhone will be charged up to 80 percent and these details will be available on the home screen itself. The iOS 26 update has a lot of new features and the Liquid glass design overhaul but some of the useful tools will be viewed as important as those changes from the company. The new intelligent battery saver mode called Adaptive Power was tipped to be introduced with the iOS 26 update and soon iPhone users will have to enable it on their devices. iPhone users are finally getting a reliable tool from Apple to help them analyse their battery usage and trends. But the new power mode is going one step further by giving you the exact time left for the iPhone to hit the 80 percent. This data will be right next to the charging percentage that you can see on the lock screen while charging the iPhone. As we have mentioned before, there are multiple benefits of having this feature. iPhone users will know how much time they have to keep their device plugged in for charging. And secondly, they will know the charging speed offered by the charger, and replace it for faster results if necessary. So, let's say you are using a slow charger and the iPhone is showing 8 minutes to 80 percent, you can easily look at replacing the adapter to get faster results. First Published: June 13, 2025, 07:30 IST


Economic Times
7 hours ago
- Economic Times
iPhone 17 Air? Pro Max? Foldable? All the juicy rumors you need to know about Apple's 2025 power launch
Even though Apple's next line of iPhones won't be out for a while, they're already making news. The iPhone 17 will have many new features and a new look, it seems. People are saying that Apple's iPhone in 2025 will be the thinnest "Air" model that WWDC is over, focus is turning to Apple's upcoming big reveal: the iPhone 17, which executives are supposedly calling the "most ambitious in the product's history." The most significant shift in the iPhone 17 lineup, according to rumors, will be the replacement of the "Plus" model with a "Slim" or "Air" model. ALSO READ: Los Angeles riots: MAGA boxer Ryan Garcia who praised and voted for Donald Trump now slams him for ICE raids Apple might call it the "Air" model to make it consistent with the iPad Air and MacBook Air models. As part of Apple's long-term plans to create "the thinnest and lightest products in their categories across the tech industry," the thin model is anticipated to surpass the iPhone 6 as the thinnest iPhone ever, as per a report by PC Mag. The thin design might make it impossible to fit a speaker at the bottom, which could make people afraid of bending. Its modest 2,800mAh battery capacity is 20% less than that of the iPhone 16's 3,561mAh battery. Apple may bring back the MagSafe battery pack that was introduced with the iPhone 12 by dedicating only 10% of its production to the 17 Air. According to rumors, the 17 Pro Max will be renamed the "Ultra" and may get a little thicker, but the other three models will probably keep their original the iPhone 17 rumors lineup, as per a report by PC Mag. No more 'Plus' model, and it is expected to be replaced by a thinner iPhone 17 Air (or Slim). There might be four models in total, likely iPhone 17, 17 Air, 17 Pro, and 17 Pro Max (or Ultra). Featuring a 6.6-inch screen, a single 48MP rear camera, and 8GB of RAM, the iPhone 17 Air is a new iPhone Air model is rumored to have a single speaker and a small 2,800mAh battery. All models might get 120 Hz refresh rate displays. The Dynamic Island cutout out could shrink slightly across Pro and Pro Max models may feature a switch to horizontal camera bumps and introduce a new Sky Blue color. Delays likely lead to the scrapping of front glass upgrades, but nano-texture glass remains a 24MP selfie cameras across all four models are here finally! The Pro Max could get three 48MP lenses, including a Tetraprism models may support dual video recording (front + back cameras at once).There have been rumors that the Pro models will support 8K video, but this has not been confirmed. One model might include a mechanical aperture, which is a first for 17 and Air: A19 chip; Pro models: A19 Pro. iOS 26 will debut with it, featuring a Liquid Glass UI, Games hub, and new battery tools. Apple-made Wi-Fi chips could replace Broadcoms, improving cross-device performance. Pro models may also include Wi-Fi 7 and better thermals via vapor chamber expected in September 2025. The iPhone 17 Air could start around $899, Pro models at $999, and Pro Max (Ultra) at $1,299. Tariff tensions (especially under Trump) could affect pricing if Apple shifts manufacturing new in the 2017 iPhone lineup?Apple may replace the Plus with a thinner "Air," increase front-facing cameras to 24MP, and update designs with horizontal camera bumps. When will the iPhone 17 be released? The most likely release date for the iPhone 17 is September 2025, given Apple's history of releasing new products in the fall.