logo
Chrome may soon get AI Mode for direct answers in your browser's search bar

Chrome may soon get AI Mode for direct answers in your browser's search bar

Google is testing a new way to bring artificial intelligence directly into its Chrome browser. Following recent moves to highlight AI features in its Google app, the company has started experimenting with an 'AI Mode' in Chrome's latest Canary build. This addition aims to give users quicker access to AI-generated answers right from the browser's search bar.
The AI Mode icon appears near the existing voice and image search buttons (spotted by the Windows Report) on the Chrome New Tab page. When users click the icon, a text box opens where they can type questions or prompts. The system then provides an AI-generated response, which will let users interact and follow up easily within the browser itself.
Also read: Snap to launch smart glasses for users in 2026 in challenge to Meta
However, not all users will have immediate access. According to reports from a leaker, Leopeva64, Google requires users to meet specific criteria to enable AI Mode. Those who do not qualify will see a page explaining the feature with a link to more information.
This test adds another option to access Google's AI-powered search, which is already available through the Google app and via a dedicated web address at google.com/aimode. The integration into Chrome could make AI tools more accessible during everyday browsing.
Also read: Nintendo sells record 3.5 million Switch 2 consoles in four days
In other news, Google is undergoing workforce changes amid ongoing business shifts. The company has offered voluntary buyouts to many employees across key divisions, including search, advertising, research, and engineering. These moves come as Google prepares for a court ruling that could impact its current structure. The exact number of employees affected has not been disclosed.
Also read: OpenAI taps Google in unprecedented cloud deal despite AI rivalry
A company spokesperson, Courtenay Mencini, clarified that some groups had already introduced voluntary exit programs with severance packages earlier this year. More teams have recently adopted similar programs to manage resources while focusing on future initiatives. Additionally, Google is encouraging remote workers living near its offices to return to hybrid work models, aiming to increase in-person collaboration among employees.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Google revives Snapseed on iPhone with major update and new editing tools
Google revives Snapseed on iPhone with major update and new editing tools

Hindustan Times

time23 minutes ago

  • Hindustan Times

Google revives Snapseed on iPhone with major update and new editing tools

Google has rolled out a major update to Snapseed, its photo editing app for iOS devices. The new version 3.0 brings a redesigned interface for both iPhone and iPad users. This update introduces a grid view displaying all edited images, making it easier to browse through past work. Navigation now relies on three distinct tabs: Looks, Faves, and Tools. The Faves tab is new and allows users to save frequently used editing tools for quick access. Snapseed 3.0: Redesigned Interface and New Features Snapseed offers over 25 editing tools and filters, including recently added film-style filters. Google also updated the app's icon to a simpler design. Also read: Neurotech and brain data: New frontier of privacy concerns Snapseed has been part of Google since 2012, but it has seen little development over recent years. The last significant update came in 2021, followed by minor changes in 2023 and 2024. Because the app processes images locally on the device and does not depend on cloud services, Google appeared to have deprioritised its development. The sudden release of version 3.0 signals renewed attention to the app. Also read: Snap to launch smart glasses for users in 2026 in challenge to Meta The updated interface focuses on ease of use. Users begin editing by tapping a circular plus button at the bottom of the screen. The new tab system separates editing functions clearly: Looks provides preset styles, Faves stores user-selected tools, and Tools offers the full range of editing features. The export option moved to the top-right corner for easier access. Editing tools include options to adjust image details, correct tonality and white balance, and apply effects like lens blur and vignette. Retouch features allow selective editing, brushing, healing, cropping, and perspective changes. The Style tab includes film filters along with options such as black and white, HDR, and drama effects. Creative tools cover double exposure, frames, and text additions. Also read: Nintendo sells record 3.5 million Switch 2 consoles in four days In addition to the interface overhaul, Snapseed now features a simplified app icon and a 'More to come, stay tuned' message, which indicates further developments may follow. However, Google has not confirmed whether the 3.0 update will be available on Android.

AI chatbots need more books to learn from, so more libraries are opening their stacks
AI chatbots need more books to learn from, so more libraries are opening their stacks

The Hindu

time29 minutes ago

  • The Hindu

AI chatbots need more books to learn from, so more libraries are opening their stacks

Everything ever said on the internet was just the start of teaching artificial intelligence about humanity. Tech companies are now tapping into an older repository of knowledge: the library stacks. Nearly one million books published as early as the 15th century — and in 254 languages — are part of a Harvard University collection being released to AI researchers Thursday. Also coming soon are troves of old newspapers and government documents held by Boston's public library. Cracking open the vaults to centuries-old tomes could be a data bonanza for tech companies battling lawsuits from living novelists, visual artists and others whose creative works have been scooped up without their consent to train AI chatbots. 'It is a prudent decision to start with public domain data because that's less controversial right now than content that's still under copyright,' said Burton Davis, a deputy general counsel at Microsoft. Davis said libraries also hold 'significant amounts of interesting cultural, historical and language data' that's missing from the past few decades of online commentary that AI chatbots have mostly learned from. Supported by 'unrestricted gifts' from Microsoft and ChatGPT maker OpenAI, the Harvard-based Institutional Data Initiative is working with libraries around the world on how to make their historic collections AI-ready in a way that also benefits libraries and the communities they serve. 'We're trying to move some of the power from this current AI moment back to these institutions,' said Aristana Scourtas, who manages research at Harvard Law School's Library Innovation Lab. 'Librarians have always been the stewards of data and the stewards of information.' Harvard's newly released dataset, Institutional Books 1.0, contains more than 394 million scanned pages of paper. One of the earlier works is from the 1400s — a Korean painter's handwritten thoughts about cultivating flowers and trees. The largest concentration of works is from the 19th century, on subjects such as literature, philosophy, law and agriculture, all of it meticulously preserved and organised by generations of librarians. It promises to be a boon for AI developers trying to improve the accuracy and reliability of their systems. 'A lot of the data that's been used in AI training has not come from original sources,' said the data initiative's executive director, Greg Leppert, who is also chief technologist at Harvard's Berkman Klein Center for Internet & Society. This book collection goes "all the way back to the physical copy that was scanned by the institutions that actually collected those items,' he said. Before ChatGPT sparked a commercial AI frenzy, most AI researchers didn't think much about the provenance of the passages of text they pulled from Wikipedia, from social media forums like Reddit and sometimes from deep repositories of pirated books. They just needed lots of what computer scientists call tokens — units of data, each of which can represent a piece of a word. Harvard's new AI training collection has an estimated 242 billion tokens, an amount that's hard for humans to fathom but it's still just a drop of what's being fed into the most advanced AI systems. Facebook parent company Meta, for instance, has said the latest version of its AI large language model was trained on more than 30 trillion tokens pulled from text, images and videos. Meta is also battling a lawsuit from comedian Sarah Silverman and other published authors who accuse the company of stealing their books from 'shadow libraries' of pirated works. Now, with some reservations, the real libraries are standing up. OpenAI, which is also fighting a string of copyright lawsuits, donated $50 million this year to a group of research institutions including Oxford University's 400-year-old Bodleian Library, which is digitising rare texts and using AI to help transcribe them. When the company first reached out to the Boston Public Library, one of the biggest in the U.S., the library made clear that any information it digitised would be for everyone, said Jessica Chapel, its chief of digital and online services. 'OpenAI had this interest in massive amounts of training data. We have an interest in massive amounts of digital objects. So this is kind of just a case that things are aligning,' Chapel said. Digitisation is expensive. It's been painstaking work, for instance, for Boston's library to scan and curate dozens of New England's French-language newspapers that were widely read in the late 19th and early 20th century by Canadian immigrant communities from Quebec. Now that such text is of use as training data, it helps bankroll projects that librarians want to do anyway. 'We've been very clear that, 'Hey, we're a public library,'" Chapel said. 'Our collections are held for public use, and anything we digitised as part of this project will be made public.' Harvard's collection was already digitised starting in 2006 for another tech giant, Google, in its controversial project to create a searchable online library of more than 20 million books. Google spent years beating back legal challenges from authors to its online book library, which included many newer and copyrighted works. It was finally settled in 2016 when the U.S. Supreme Court let stand lower court rulings that rejected copyright infringement claims. Now, for the first time, Google has worked with Harvard to retrieve public domain volumes from Google Books and clear the way for their release to AI developers. Copyright protections in the U.S. typically last for 95 years, and longer for sound recordings. How useful all of this will be for the next generation of AI tools remains to be seen as the data gets shared Thursday on the Hugging Face platform, which hosts datasets and open-source AI models that anyone can download. The book collection is more linguistically diverse than typical AI data sources. Fewer than half the volumes are in English, though European languages still dominate, particularly German, French, Italian, Spanish and Latin. A book collection steeped in 19th century thought could also be 'immensely critical' for the tech industry's efforts to build AI agents that can plan and reason as well as humans, Leppert said. 'At a university, you have a lot of pedagogy around what it means to reason,' Leppert said. 'You have a lot of scientific information about how to run processes and how to run analyses.' At the same time, there's also plenty of outdated data, from debunked scientific and medical theories to racist narratives. 'When you're dealing with such a large data set, there are some tricky issues around harmful content and language," said Kristi Mukk, a coordinator at Harvard's Library Innovation Lab who said the initiative is trying to provide guidance about mitigating the risks of using the data, to 'help them make their own informed decisions and use AI responsibly.'

9 essential AI tips for CEOs from a people-first leadership expert
9 essential AI tips for CEOs from a people-first leadership expert

Indian Express

time32 minutes ago

  • Indian Express

9 essential AI tips for CEOs from a people-first leadership expert

Artificial intelligence is transforming our world. While it is not only changing the way we work, it is also redefining leadership. Businesses worldwide are racing to deploy new AI technologies, however, not many business leaders are able to see it beyond the realm of tech upgrades. If you are a business leader who wants to make the most of the present AI wave, here is a practical roadmap for AI adoption and navigate transformation. The following tips are a faithful reproduction of a LinkedIn post by Elaine Page, who is an influential voice and renowned talent strategist. Page begins her post by informing her followers that she has been doing what most would be doing at the moment – leafing through everything on AI and talking to founders, skeptics, operators, and optimists. And in all of these conversations, Page revealed one line that hit her harder – 'This isn't just a tool shift. It's leadership reckoning.' The growth and transformation expert said that this line reminded that her job as leader was not simply to understand disruption; rather humanise it, translate it, and, most importantly, to help her team grow through it instead of being left behind. She later turned to one of her most trusted mentors, whom she describes as 'a no-BS-CEO-turned-investor' to ask what he would do if he were running a company today. Page revealed that her mentor laid out a crisp, people-first roadmap for AI transformation. Below are the practical steps for leaders to navigate through the age of AI. These steps, born out of personal experience of Page's mentor, can resonate with leaders across the spectrum. As we know, AI is no longer optional learning; it is important that every senior leader must go through an immersive, hands-on bootcamp. It should not just be a webinar or a white paper but rather deep learning. This is imperative, as according to Page, one cannot lead what they cannot understand. Moreover, educating senior members in an organisation is key, as they are more likely to set the direction, culture, and pace of change. If they are unable to comprehend the benefits or disadvantages of AI, they cannot take informed decisions or raise the right questions. There could also be a possibility that they may unknowingly slow the innovation process, pursue hype and delegate AI strategy without vision. In an organisational setup, as leaders are learning about the change, Page recommends that companies should deploy their best thinkers to start documenting real challenges across business. In essence, they should skip the hype and just create a working list of problems that they would need better answers for. In simple words, dedicate resources to identifying real problems and focus on pain points across teams, workflows, and customer experience. Once a list of problems has been identified, it is time to start matching them with AI solutions. The expert recommends looking for opportunities to boost productivity, improve customer service, reduce costs, and scope out new revenue streams. Page asserts that AI is not here to replace people but to support them. She advises business leaders to frame it this way and works towards proving it. 'Communicate with optimism' is the mantra here. The present day evokes a need for leadership that is intentional and understands the technology, enables people, and most importantly, builds trust in the face of change. Leaders should be cautious as to not leave this solely to the IT teams alone. Page advises setting up an AI helpdesk and recruiting internal 'power users' and curious learners who can be the 'AI coaches' for various teams. Page essentially calls them the in-house translators, change agents, and champions of AI. In short, make AI adoption peer-led and momentum-driven. This can be one of the most useful recommendations for companies that desire to equip its staff with the latest AI tools. Primarily, because many organisations reportedly struggle with skilling their staff, and having an in-house helpdesk or familiar faces to coach them can be a valuable move. There is a need to balance the portfolio. Page believes that although quick wins are essential to building energy and belief, organisations also need long-term bets to push themselves forward in the long run. The transformation expert advises balancing short-term sprints with long-term missions. As we know, the AI landscape is currently a loud space with many selling their tools. The expert cautions against falling for just features. One should opt for ones that are adaptable, align with one's value, and grow with the needs of the organisation. One should look for flexibility, reliability, and strong values alignment. 'Think of relationships, not just features.' Many CEOs and innovators are working towards embracing this change with policies that are human-centric, ensuring that everyone gets to reap its benefits. However, there are many who may be struggling to sift through these times of dimensional shift without the tools and skills needed to make the most of it. Page believes that AI must come with governance, and it should not be phase 2. Leaders should be transparent with their teams, set boundaries around data use, and put people at the centre of every decision. In essence, companies should prioritise human-centred outcomes. Making ethics part of AI strategy should be a given. AI is bringing along a need for a shift in mindset. In the past few years, perhaps the biggest challenge has not been keeping up with rapid AI advancements but leading through this phase with purpose and empathy. Page terms this as 'the messy middle'. Even though people are likely to break things, they should celebrate the ones who experiment. Organisations should strive to make failing forward a part of their culture. Normalise learning and celebrate the bold. At a time when there is a mad rush to scale, leaders should avoid simply tracking usage and focus on tracking value. These could simply be where you are saving time, which domains are showing enhanced productivity, or even where human potential is being unlocked. Page believes that ROI should be about real human outcomes and not vanity metrics. The author claims that this is not a checklist but a cultural shift, and she believes that one should focus on building trust, learning, and transparency. Elaine Page is currently a chief people officer, board advisor, and talent strategist known for building high-performing teams. Based on my interactions with enterprise leaders, tech innovators, and organisational experts, one recurring theme is the lack of clear direction around AI adoption. But insights from leaders like Page suggest a growing effort to bring clarity and structure to what often feels like a chaotic wave of advancement. Her post offers not just guidance, but a much-needed human lens on transformation. Bijin Jose, an Assistant Editor at Indian Express Online in New Delhi, is a technology journalist with a portfolio spanning various prestigious publications. Starting as a citizen journalist with The Times of India in 2013, he transitioned through roles at India Today Digital and The Economic Times, before finding his niche at The Indian Express. With a BA in English from Maharaja Sayajirao University, Vadodara, and an MA in English Literature, Bijin's expertise extends from crime reporting to cultural features. With a keen interest in closely covering developments in artificial intelligence, Bijin provides nuanced perspectives on its implications for society and beyond. ... Read More

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store