logo
Samsung's 'default' Galaxy AI features will remain free indefinitely — here's what you need to know

Samsung's 'default' Galaxy AI features will remain free indefinitely — here's what you need to know

Yahoo15 hours ago
When you buy through links on our articles, Future and its syndication partners may earn a commission.
Samsung has shut down the lingering rumors that it was going to start charging users for the Galaxy AI features it launched alongside the Galaxy S25 series last year. In a report from Android Police, the site says it has direct confirmation from Samsung that default features will remain free "indefinitely".
Earlier in the year there was some heavy speculation Samsung would put Galaxy AI behind a paywall after it stated Galaxy AI would be "provided for free until the end of 2025."
Android Police doesn't give any reasoning for the U-turn, but Samsung told the publication it will never charge for the features that "are on your phone by default."
This likely covers the following:
Live Translate
Note Assist in Samsung Notes
Zoom Nightography
Audio Eraser
Browsing Assistant
Generative Wallpapers
Samsung users are also able to access Google's Gemini features for free — and anyone upgrading to the Galaxy Z Fold 7 or Z Flip 7 will receive a six month Google AI Pro subscription for free. That gets them access to advanced features like Veo 3 Fast.
Lingering questions
The fact Samsung is making these features available for free, indefinitely, is obviously good news. But it does leave a lingering question about whether Samsung may develop better, non-default AI features down the road and charge for that.
This could be a single paywall or a tiered system similar to what Google does with its Pro and Ultra plans. The pace (and cost) of AI is not going to slow down any time soon and Samsung faces tough competition in the space from Google, Meta and Microsoft. If this does prove to be the case, time will tell whether or not Samsung has the goodwill to upsell users from free features to paid-for alternatives.
Alternatively, this could be the start of something very good for Samsung owners if the company continues to keep handing out its AI developments as freebies. Especially since it just launched a whole set of great new AI features earlier this year alongside the S25.
If you're a Samsung owner and new to Galaxy AI, then check out these tips for getting started.
More from Tom's Guide
Samsung Galaxy S25 AI features — here's everything that's new
Galaxy AI beats Gemini for me — 5 features that make it smarter
Samsung Galaxy Z Fold 7 hands-on: The first foldable I'd actually want to buy
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Why Machines Aren't Intelligent
Why Machines Aren't Intelligent

Forbes

time14 minutes ago

  • Forbes

Why Machines Aren't Intelligent

Abstract painting of man versus machine, cubism style artwork. Original acrylic painting on canvas. OpenAI has announced that its latest experimental reasoning LLM, referred to internally as the 'IMO gold LLM', has achieved gold‑medal level performance at the 2025 International Mathematical Olympiad (IMO). Unlike specialized systems like DeepMind's AlphaGeometry, this is a reasoning LLM, built with reinforcement learning and scaled inference, not a math-only engine. As OpenAI researcher Noam Brown put it, the model showed 'a new level of sustained creative thinking' required for multi-hour problem-solving. CEO Sam Altman said this achievement marks 'a dream… a key step toward general intelligence', and that such a model won't be generally available for months. Undoubtedly, machines are becoming exceptionally proficient at narrowly defined, high-performance cognitive tasks. This includes mathematical reasoning, formal proof construction, symbolic manipulation, code generation, and formal logic. Their capabilities also extend significantly to computer vision, complex data analysis, language processing, and strategic problem-solving, because of significant advancements in deep learning architectures (such as transformers and convolutional neural networks), the availability of vast datasets for training, substantial increases in computational power, and sophisticated algorithmic optimization techniques that enable these systems to identify intricate patterns and correlations within data at an unprecedented scale and speed. These systems can accomplish sustained multi-step reasoning, generate fluent human-like responses, and perform under expert-level constraints similar to humans. With all this, and a bit of enthusiasm, we might be tempted to think that this means machines are becoming incredibly intelligent, incredibly quickly. Yet this would be a mistake. Because being good at mathematics, formal proof construction, symbolic manipulation, code generation, formal logic, computer vision, complex data analysis, language processing, and strategic problem-solving, is neither a necessary nor a sufficient condition for 'intelligence', let alone for incredible intelligence. The fundamental distinction lies in several key characteristics that machines demonstrably lack. Machines cannot seamlessly transfer knowledge or adapt their capabilities to entirely novel, unforeseen problems or contexts without significant re-engineering or retraining. They are inherently specialized. They are proficient at tasks within their pre-defined scope and their impressive performance is confined to the specific domains and types of data on which they have been extensively trained. This contrasts sharply with the human capacity for flexible learning and adaptation across a vast and unpredictable array of situations. Machines do not possess the capacity to genuinely experience or comprehend emotions, nor can they truly interpret the nuanced mental states, intentions, or feelings of others (often referred to as "theory of mind"). Their "empathetic" or "socially aware" responses are sophisticated statistical patterns learned from vast datasets of human interaction, not a reflection of genuine subjective experience, emotional resonance, or an understanding of human affect. Machines lack self-awareness and the ability for introspection. They do not reflect on their own internal processes, motivations, or the nature of their "knowledge." Their operations are algorithmic and data-driven; they do not possess a subjective "self" that can ponder its own existence, learn from its own mistakes through conscious reflection, or develop a personal narrative. Machines do not exhibit genuine intentionality, innate curiosity, or the capacity for autonomous goal-setting driven by internal desires, values, or motivations. They operate purely based on programmed objectives and the data inputs they receive. Their "goals" are externally imposed by their human creators, rather than emerging from an internal drive or will. Machines lack the direct, lived, and felt experience that comes from having a physical body interacting with and perceiving the environment. This embodied experience is crucial for developing common sense, intuitive physics, and a deep, non-abstracted understanding of the world. While machines can interact with and navigate the physical world through sensors and actuators, their "understanding" of reality is mediated by symbolic representations and data. Machines do not demonstrate genuine conceptual leaps, the ability to invent entirely new paradigms, or to break fundamental rules in a truly meaningful and original way that transcends their training data. Generative models can only produce novel combinations of existing data, Machines often struggle with true cause-and-effect reasoning. Even though they excel at identifying correlations and patterns, correlation is not causation. They can predict "what" is likely to happen based on past data, but their understanding of "why" is limited to statistical associations rather than deep mechanistic insight. Machines cannot learn complex concepts from just a few examples. While one-shot and few-shot learning have made progress in enabling machines to recognize new patterns or categories from limited data, they cannot learn genuinely complex, abstract concepts from just a few examples, unlike humans. Machines still typically require vast datasets for effective and nuanced training. And perhaps the most profound distinction, machines do not possess subjective experience, feelings, or awareness. They are not conscious entities. Only when a machine is capable of all (are at least most of) these characteristics, even at a relatively low level, could we then reasonably claim that machines are becoming 'intelligent', without exaggeration, misuse of the term, or mere fantasy. Therefore, while machines are incredibly powerful for specific cognitive functions, their capabilities are fundamentally different from the multifaceted, adaptable, self-aware, and experientially grounded nature of what intelligence is, particularly as manifested in humans. Their proficiency is a product of advanced computational design and data processing, not an indication of a nascent form of intelligence in machines. In fact, the term "artificial general intelligence" in AI discourse emerged in part to recover the meaning of "intelligence" after it had been diluted through overuse in describing machines that are not "intelligent" to clarify what these so-called "intelligent" machines still lack in order to really be, "intelligent". We all tend to oversimplify and the field of AI is contributing to the evolution of the meaning of 'intelligence,' making the term increasingly polysemous. That's part of the charm of language. And as AI stirs both real promise and real societal anxiety, it's also worth remembering that the intelligence of machines does not exist in any meaningful sense. The rapid advances in AI signal that it is beyond time to think about the impact we want and don't want AI to have on society. In doing so, this should not only allow, but actively encourage us to consider both AI's capacities and its limitations, making every effort not to confuse 'intelligence' (i.e. in its rich, general sense) with the narrow and task-specific behaviors machines are capable of simulating or exhibiting. While some are racing for Artificial General Intelligence (AGI), the question we should now be asking is not when they think they might succeed, but whether what they believe they could make happen truly makes sense civilisationally as something we should even aim to achieve, while defining where we draw the line on algorithmic transhumanism.

AI Will Replace Recruiters and Assistants in Six Months, Says CEO Behind ChatGPT Rival
AI Will Replace Recruiters and Assistants in Six Months, Says CEO Behind ChatGPT Rival

Gizmodo

time43 minutes ago

  • Gizmodo

AI Will Replace Recruiters and Assistants in Six Months, Says CEO Behind ChatGPT Rival

Aravind Srinivas, the CEO of the ambitious AI startup Perplexity, has a clear and startling vision for the future of work. It begins with a simple prompt and ends with the automation of entire professional roles. 'A recruiter's work worth one week is just one prompt: sourcing and reach outs,' Srinivas stated in a recent interview with The Verge's Decoder' podcast, a prediction that serves as both a mission statement for his new AI-powered browser, Comet, and a stark warning for the modern knowledge worker. His company is at the forefront of a new technological arms race to build not just a smarter search engine, but a true AI agent. Think of it as a digital entity capable of carrying out complex, multi-step tasks from start to finish. According to Srinivas, the most natural place for this revolution to begin is the one tool every office worker already uses: the web browser. And the first jobs in its sights are those of recruiters and executive assistants. For years, the promise of AI has been to assist, not replace. But the vision Srinivas lays out is one of replacement by a vastly more capable assistant. He describes an AI agent as something that can 'carry out any workflow end to end, from instruction to actual completion of the task.' He details exactly how Comet is being designed to absorb the core functions of a recruiter. The agent can be tasked to find a list of all engineers who studied at Stanford and previously worked at Anthropic, port that list to a Google Sheet with their LinkedIn URLs, find their contact information, and then 'bulk draft personalized cold emails to each of them to reach out to for a coffee chat.' The same logic applies to the work of an executive assistant. By having secure, client-side access to a user's logged-in applications like Gmail and Google Calendar, the agent can take over the tedious back-and-forth of scheduling. 'If some people respond,' Srinivas explains, the agent can 'go and update the Google Sheets, mark the status as responded or in progress and follow up with those candidates, sync with my Google calendar, and then resolve conflicts and schedule a chat, and then push me a brief ahead of the meeting.' This is a fundamental re-imagining of productivity, where the human role shifts from performing tasks to simply defining their outcomes. While Comet cannot execute these most complex, 'long-horizon' tasks perfectly today, Srinivas is betting that the final barriers are about to fall. He is pinning his timeline on the imminent arrival of the next generation of powerful AI. 'I'm betting on progress in reasoning models to get us there,' he says, referencing upcoming models like GPT-5 or Claude 4.5. He believes these new AI brains will provide the final push needed to make seamless, end-to-end automation a reality. His timeline is aggressive and should be a wake-up call for anyone in these professions. 'I'm pretty sure six months to a year from now, it can do the entire thing,' he predicts. This suggests that the disruption isn't a far-off abstract concept but an impending reality that could reshape entire departments before the end of next year. Srinivas's ambition extends far beyond building a better browser. He envisions a future where this tool evolves into something much more integral to our digital lives. 'That's the extent to which we have an ambition to make the browser into something that feels more like an OS where these are processes that are running all the time,' he says. In this new paradigm, the browser is no longer a passive window to the internet but an active, intelligent layer that manages your work in the background. Users could 'launch a bunch of Comet assistant jobs' and then, as Srinivas puts it, spend their time on other things while the AI works. This transforms the very nature of office work from a series of active inputs to a process of delegation and oversight. What happens to the human worker when their job functions are condensed into a single prompt? Srinivas offers an optimistic view, suggesting that this newfound efficiency will free up humanity's time and attention. He believes people will spend more time on leisure and personal enrichment, that they will 'choose to spend it on entertainment more than intellectual work.' In his vision, AI does the drudgery, and we get more time to 'chill and scroll through X or whatever social media they like.' But this utopian view sidesteps the more immediate and painful economic question: What happens to the millions of people whose livelihoods are built on performing the very tasks these agents are designed to automate? While some may be elevated to the role of 'AI orchestrator,' many could face displacement. The AI agent, as described by one of its chief architects, is not merely a new feature. It is a catalyst for a profound and potentially brutal transformation of the white-collar workforce. The future of work is being written in code, and according to Srinivas, the first draft will be ready far sooner than most of us think.

10 Pros And Cons Of Using AI For Your Job Application
10 Pros And Cons Of Using AI For Your Job Application

Forbes

time44 minutes ago

  • Forbes

10 Pros And Cons Of Using AI For Your Job Application

AI is changing how applicants approach the job application process. AI is transforming the job application process, with more than 40% of job seekers turning to artificial intelligence for help, according to research from Jobseeker. Over 90% say it makes their job application better, but there's a catch—41% of hiring managers are less likely to consider candidates who use AI. As reliance on algorithms and ATS (Applicant Tracking Systems) grows, the debate over AI's role in hiring is just beginning. Here are the key advantages and disadvantages to consider before incorporating AI into your job search strategy. The Pros: Why AI Can Give You an Edge Let's start with the benefits that are making artificial intelligence an increasingly popular choice among job seekers: AI tools can dramatically speed up the job application process. With just a few ChatGPT prompts, you can generate resumes, cover letters, and answers to common questions in minutes. This makes it easier to apply for multiple roles without feeling overwhelmed. The traditional approach of crafting each application from scratch can take hours per position, but AI-generated resume tips allow job seekers to maintain quality while significantly increasing their application volume. Action Step: Use AI to draft content, then set aside time to review, personalize, and edit each document before submitting. AI Tool Tip: Teal is a free platform that uses artificial intelligence to organize and speed up the job application process, track your progress, and manage documents. AI-powered writing assistants can spot typos, grammatical errors, and awkward phrasing, helping you submit polished job applications every time. This is especially useful for non-native speakers or those who want their resumes and cover letters to sound more professional. Beyond basic corrections, these tools suggest improvements in sentence structure, word choice, and overall readability that might escape even careful human review. Action Step: Run your materials through a grammar checker, but always read them over yourself to catch subtle mistakes or unnatural language. AI Tool Tip: Grammarly instantly checks spelling, grammar, and tone, and can suggest improvements for clarity and professionalism. AI can help tailor your job application and cover letter to match specific job descriptions, increasing your chances of passing automated screenings and impressing hiring managers. By analyzing keywords and role requirements, artificial intelligence helps ensure your materials are relevant and targeted for each position. This level of customization would be nearly impossible to achieve manually across dozens of job applications while maintaining consistency and quality. Action Step: Feed the AI key details about the company and role, then customize the final product with your own insights and examples. AI Tool Tip: Rezi uses AI to automatically tailor your resume to each job description, optimizing keywords and ensuring your application stands out to both ATS and hiring managers. Submitting an AI-enhanced job application can help you feel more prepared and professional, especially if writing isn't your strong suit. Knowing your resume and cover letter have been reviewed and optimized gives many job seekers a confidence boost during their job search. This psychological benefit can translate into better interview performance and a more positive job search experience. Action Step: Use artificial intelligence to check your work, but make sure your own achievements and voice come through so you can confidently discuss your materials in interviews. AI Tool Tip: Kickresume offers AI-powered resume and cover letter creation with personalized templates, making it easy to produce professional documents. Many companies use ATS software that scans for keywords before a human ever sees your application. AI to optimize job applications can meet these requirements and help ensure your resume makes it through the initial digital screening. Without proper keyword optimization, even highly qualified candidates may never reach human reviewers, making this AI capability particularly valuable in today's automated hiring landscape. Action Step: Research keywords from the job description and use AI to incorporate them naturally, ensuring your application gets past initial digital screening. AI Tool Tip: Jobscan compares your resume to job descriptions and uses AI to maximize your keyword match for ATS systems. The Cons: Where AI Can Work Against You While AI offers compelling advantages, it's important to understand the potential drawbacks that could hurt your chances with employers: AI-generated resumes and text can sometimes lack personality or feel overly formulaic, which may cause hiring managers to lose interest in your application. If every candidate's responses sound the same, it becomes harder for you to stand out in a crowded job market. The risk increases when applicants rely too heavily on AI without adding their unique perspective and experiences to differentiate themselves from other candidates using similar tools. Action Step: Add personal stories, specific achievements, and authentic language to make your application memorable. AI Tool Tip: ChatGPT can generate personalized responses when you use advanced prompts, but always edit to reflect your unique experiences. Over-reliance on AI-generated resumes and materials can make your application feel less genuine, raising questions about your true abilities and motivations. Employers may wonder whether you actually possess the skills you describe or if the AI made them up. This authenticity gap becomes particularly problematic during interviews when candidates struggle to elaborate on AI-generated content or demonstrate the capabilities their applications claim they possess. Action Step: Balance AI assistance with your own insights and experiences, and make sure every statement accurately reflects your background. AI Tool Tip: Jasper AI can help you write and refine job application materials with the ability to inject your personal tone and stories, so your application remains authentic and unique. Some hiring managers view AI-generated resumes and cover letters as shortcuts or question the effort behind them, especially when answers sound robotic or vague. Many HR specialists say they are less likely to consider candidates who use AI in the application process. This growing skepticism means that obvious AI usage could hurt your chances, even if the content quality is high. Action Step: Use AI as a supportive tool, not a crutch. Be prepared to discuss your materials honestly and highlight where you added your personal touch. AI Tool Tip: guides you in generating AI-assisted cover letters while ensuring your voice and motivation remain front and center. AI can introduce errors or suggest experiences you didn't have, especially if prompts are vague or information is misunderstood. If unchecked, these inaccuracies can misrepresent your qualifications and potentially damage your credibility with employers. Action Step: Double-check every detail in your job application for accuracy and truthfulness before submitting. AI Tool Tip: QuillBot lets you rephrase and fact-check text, ensuring accuracy and helping you verify that the language matches your real experience. Sharing personal data with online AI tools for job seekers can expose you to privacy risks, especially if you're not using reputable or secure platforms. Action Step: Use only well-known, secure AI platforms and look for privacy features such as data encryption and user control over submissions. AI Tool Tip: Blacklight by The Markup uses AI to scan job application sites for trackers and potential privacy risks, helping you understand how your data might be used or shared. The key to successfully using AI in job applications lies in finding the right balance between efficiency and authenticity. As Anthropic notes, "Where it makes sense, we invite you to use Claude to show us more of you: your unique perspective, skills, and experiences." The future of AI-assisted job searching will favor candidates who can leverage these powerful tools while maintaining their genuine voice and demonstrating real value to potential employers.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store