
Google Search launches what could be its most useful experiment in years: Preferred Sources
Edgar Cervantes / Android Authority
TL;DR Google Search surfaces recent news posts from various outlets in Top Stories.
So far, you haven't had much say over the news outlets Google chooses as relevant.
With its new Preferred Sources experiment in Labs, you can select your favorite publishers for their content to stand out.
It's easy to forget, if you didn't live through it, just how much of a game-changer Google Search was when it first debuted in the late 90s. While we had options like Lycos and AltaVista for years, Google just made it so much easier to find the content you were looking for. These days, though, a lot of users feel unsatisfied with the results they get from Search, with lower-quality sites, sponsored content, and AI slop making it so much harder to locate anything actually useful. While you could always continue to just search Reddit instead, this week we're learning about a new experiment that might actually help steer Search results back in the right direction.
Google's got some tips for getting the most out of Search, and in sharing those, it also announces its latest Labs experiment. Once you opt in to testing it, Preferred Sources will give you the option to prioritize results from your favorite, most trusted sources.
Now, before you go thinking you can just permanently tell Google to find the answer on Reddit, Preferred Sources operates on Top Stories results — so we're talking about news posts from publishing organizations, rather than social content or personal blogs. But once you turn Preferred Sources on, you'll be able to hit the star icon in the Top Stories header and choose those sites whose news stories you want to see most.
Knowing Google, you shouldn't expect your Preferred Sources to exclusively populate the top spots in your Top Stories, but you'll at least see them in there when those sites have recent posts relevant to your query, marked with that same star to highlight them. And then it also looks like we're getting a row just beneath that where Google highlights results that really are just from your chosen sources.
Right now, though, we haven't been able to try Preferred Sources for ourselves, despite Google's announcement making it sound like the experiment should be presently available. It's supposed to show up as an option in Search Labs for users in both the US and India, but for the moment we're just getting redirected back to the main Labs page. Hopefully we'll have a chance to give it a try soon and really get a sense for how much influence this truly offers over the results you get.
Got a tip? Talk to us! Email our staff at
Email our staff at news@androidauthority.com . You can stay anonymous or get credit for the info, it's your choice.
Hashtags

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


Fast Company
20 minutes ago
- Fast Company
Enterprises can't overlook security when embracing AI
Amara's Law, coined by the American scientist and futurist Roy Amara, says humans 'tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.' If the first half of 2025 is anything to go by, in the AI era, the 'runs' are getting shorter, and the effects of the technology will be larger than we've seen in a generation. In a matter of months, the conversation in companies has accelerated far beyond if AI is a useful productivity tool, to where and when it can be applied. Across industries and geographies, executives are acknowledging that AI is a general-purpose business solution, not just a technical one. Despite widespread workplace adoption, the focus on cybersecurity has not kept pace. In the rush to adopt AI systems, applications and agents, companies are failing to consider that rapid deployment of these new technologies could lead to data breaches and other security risks. That matters because AI models are not only getting more powerful but also more useful for enterprises. More enterprises are using AI agents As of early June, OpenAI's base of 'paying business users' reached 3 million, up from 2 million in February. In a move for that market, ChatGPT can now connect to popular business apps such as Google Drive, Dropbox, and Sharepoint, allowing workers to quickly access answers that are locked in dispersed documents and spreadsheets. Confusion, and even fear, about AI agents has given way to exploration and adoption. Among US-based organizations with annual revenues of $1 billion or more, 65% were piloting AI agents in the first quarter of this year, up from 37% in the space of a single quarter. Microsoft's Azure AI Foundry, its platform for building AI agents, processed 100 trillion tokens in the first three months of 2025 (with one token representing the smallest unit of text that an AI model processes)—a five-fold increase year-on-year. At the same time, the cost per token more than halved, spurring higher use and creating virtuous cycles of innovation. As John Chambers, the former CEO of Cisco, says, AI is this generation's internet revolution but 'at five times the speed, with three times the outcome.' Beyond the hype that haunts the sector, there are signs of enterprise AI adoption everywhere. In his latest letter to shareholders Alex Karp, CEO of Palantir Technologies, describes a 'ravenous whirlwind of adoption' of AI. IBM, which has rolled out its AI strategy to 270,000 employees, reports that AI already handles 94% of routine human resources tasks. At Shopify, the e-commerce group, 'AI usage is now a baseline expectation,' CEO Tobias Lütke said in an employee memo. The workplace automation company Zapier, which took steps to embed AI across its workforce, says that 89% of employees actively use AI in their daily work. The list goes on—and it's not just technology companies. JP Morgan, the world's largest bank, has rolled out GenAI tools to 200,000 staff members, and says employees have each gained one-to-two hours of productivity each week. AI acquisitions are plentiful The shift from novel to mass-market tech is reflected in the business strategies of the main AI model makers, which are reimagining themselves as application companies. In the space of two weeks, OpenAI, the ChatGPT parent, appointed a CEO of Applications and then acquired IO, the AI device startup founded by former Apple designer Jony Ive, for $6.5 billion. Meta, perceived to be behind in the AI race, has invested $14.3 billion in Scale AI, which provides data and evaluation services to develop applications for AI. Meanwhile, Apple is reported to have had internal talks about buying Perplexity AI, a two-and-a-half year-old AI model maker. AI app security is rarely discussed Companies are naturally focused on the potential and performance of AI systems, but it's striking how rarely security is part of the story. The reality is that the speed of deployment of AI apps and agents is leaving companies at risk for breaches, data loss, and brand impact. For example, an AI system or agent that has access to employee HR data or a bank's internal systems leaves a company open to possible cyberattacks by bad actors. In business-critical applications, risks emerge at every stage of the development cycle, from choosing which AI model to use and what systems to give it access to, right through to deployment and daily use. In our work on testing the security of AI models with simulated attacks—known as red-teaming—and creating the CalypsoAI Model Security Leaderboards, we have discovered that, despite performance improvements, new or updated AI models are often less secure than existing ones. At the same time, existing models can see their security score slip over time. Why? Because the attacks keep progressing and bad actors learn new tricks. More techniques and capabilities of breaking or bypassing AI model securities keep being invented. Simply, the attack techniques are getting better and they're causing AI models that have only recently launched to become less secure. That means that organizations that begin using an AI system or agent today, but don't stay up to date with the latest threat intel, will be more vulnerable as attack techniques increase in capability and frequency. As corporate AI systems gain autonomy and access to sensitive data, what is safe today may not be safe tomorrow. The research firm Gartner has forecast that 15% of day-to-day business decisions will be made autonomously by agents by 2028, though that percentage may increase by then. Against that backdrop, virtually all the security protocols and permissions in enterprises are built for human workers, not for AI agents that can roam through company networks and learn on the job. That mismatch opens up vulnerabilities, such as the possibility of agents accessing sensitive information and sharing it inappropriately. Poorly secured agents will be prime targets for hackers, particularly where they have access to valuable data or functions such as money transfers. The consequences include financial loss and reputational damage. Final thoughts Securing these new systems will be critical to AI adoption and to successful return on investment for the companies involved. A new security paradigm, using the capabilities of agentic AI to secure enterprise AI, is needed to allow innovation to thrive and agents to reach their potential. While the development of AI models and systems so far can reasonably be summarized as ' better, cheaper, less secure, the final part of that equation must improve significantly as the emerging application-first AI era accelerates. Once that happens, Roy Amara seems certain to be proven right once again.


The Verge
27 minutes ago
- The Verge
Instagram and TikTok may launch apps for TVs.
Instagram and TikTok may launch apps for TVs. YouTube is a hit on TVs, and Meta and TikTok are looking to get in on that battleground, The Information reports. What will launch first: Instagram for TV or Instagram for iPad?
Yahoo
38 minutes ago
- Yahoo
Netflix taps Airbnb CFO Mertz for board
This story was originally published on CFO Dive. To receive daily news and insights, subscribe to our free daily CFO Dive newsletter. Netflix has appointed Airbnb CFO Ellie Mertz to serve on its board of directors, the streaming giant said Tuesday. 'Ellie's tenure at Airbnb, combined with her deep understanding of Netflix, makes her uniquely positioned to contribute to our strategic vision,' Netflix co-CEOs Ted Sarandos and Greg Peters, said in a press release. 'Her experience as a public company finance professional and leader will be invaluable as we accelerate innovation and continue to entertain the world.' Mertz previously served in various finance roles at Netflix from 2006 to 2013. She currently serves on the boards of DoorDash and Faire Wholesale. The news comes amid a broader leadership shakeup at the Los Gatos, California-based streaming company. Netflix announced in January 2023 that its founder, Reed Hastings, was stepping down as co-CEO and would serve as executive chairman instead. Peters was promoted from chief operating officer to become a co-CEO with Sarandos. 'Our board has been discussing succession planning for many years (even founders need to evolve!),' Hastings said in a statement at the time. About two months ago, Hastings pulled back further from his Netflix role, transitioning to non-executive chairman of the board. At the time, the company said the change was 'part of the natural evolution of our leadership structure and succession planning.' Mertz was appointed to the Netflix board on June 22 effective immediately for a term expiring at the company's 2026 annual meeting of stockholders, 'or until her earlier resignation or removal,' according to a Tuesday securities filing. Like other non-employee directors, she will receive stock options pursuant to the company's director equity compensation plan, the filing said. Mertz has spent the past 12 years at Airbnb, according to her LinkedIn page. She became CFO in March 2024 after serving as vice president of finance and head of global financial planning and analysis. Prior to joining Airbnb, she spent seven years at Netflix, serving in various finance roles, including vice president of finance. Recommended Reading Salesforce alum takes on CFO role for Frontdoor Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data