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5 internet-improving Chrome extensions worth trying on Android
Browsing the web on Android sure ain’t what it used to be.
Earlier this week, we talked about how the Vivaldi web browser is bringing support for Chrome extensions to Android. Vivaldi has the same Chromium code foundation as Chrome but with lots of extra features and options. I’ve been using it on Android and the desktop alike for months now and can’t see myself going back anytime soon.
And with extensions now in the mix, Goog almighty, are things really getting interesting. We’ve already looked at five Chrome extensions that can enhance your efficiency on Android — and today, we’re rounding out that list with five more excellent extension options that work impressively well in the Android environment and can improve your mobile web meanderings in some commendable ways.
While the last additions were all about saving you steps and eliminating common mobile web roadblocks, this next batch revolves around the notion of supplementing or upgrading the actual web itself and the experience of working within different sites — even when they don’t always provide an optimal framework.
So refresh your memory on the mechanics of installing and managing Chrome extensions in Vivaldi, then read on and see which of these internet-improving Android Chrome additions hits home for you.
[Keep the knowledge flowing with my free Android Intelligence newsletter — one useful new thing to try every Friday!]
Chrome Android extension #1: Your web customization genieLet’s be honest: Most of the web isn’t exactly a pleasure to peruse. (Insert awkward pause here.)
But with an extension called Click to Remove Element, you can take total control and remove any element of any website that doesn’t please you.
Vivaldi already has some customizable ad and script blocking elements built in at the browser level, if that’s your jam, but Click to Remove Element is more about the stuff that those systems don’t automatically catch and hide — and it doesn’t have to be ad-related, either. It could be a pop-up video player on a site, a prominent button in a back-end interface, a logo or floating menu that takes up too much screen space, or literally anything else that annoys you on any website anywhere.
All you’ve gotta do is tap the extension’s icon, once it’s installed, then tap on any element on a page that you want to remove. And…
One tap, and boom: Any element on any website is invisible.JR Raphael, Foundry
Poof! It’s gone. If you tap the little box beneath “Remember” in the Click to Remove Element panel at the bottom of the screen, that change will stick and stay present every time you load the same page in the future.
Chrome Android extension #2: A paywall peeperFor the record, as a working journalist in this weird and sustainability-challenged state of modern media we’re in right now, I strongly believe in and endorse paying for publications you appreciate whenever the opportunity arises.
Sometimes, though, you just want to read a random single article from a source you don’t follow regularly. Or maybe you want to share something you’ve read from a paywalled site with someone who doesn’t subscribe and isn’t going to do so just to read this one little thing you’re sending them.
That’s where a site called Archive Today can come in handy. Archive Today captures live views of articles and then saves ’em in a way that can be easily viewed and shared without any subscriptions or sign-ins required.
And a Chrome extension called Archive Page makes it as easy as can be to send a page over to the service for that purpose. Install it, tap its icon (in your Vivaldi extensions menu or in your browser toolbar, if you pin the extension), and you’ll have your viewable, shareable link in no time.
The tool won’t work for every site, depending on the nature of the paywall — and, again, I’d highly encourage you to use it as thoughtfully and ethically as possible — but it’s a powerful option to have available and one that’ll absolutely come in handy.
Chrome Android extension #3: An Amazon price spyWhether you’re eyeing Amazon listings for work or maybe just for “work,” keep an extension called Keepa in your Vivaldi Android browser. You’ll never think about it or directly open it again after you’ve installed it, but it’ll add a helpful price tracking section into every Amazon listing you pull up on your phone so you can see how the associated product’s price has varied over time and know as soon as it drops again.
Keepa adds a helpful product price history and tracking option onto every Amazon listing in your browser.JR Raphael, Foundry
Just scroll down a bit on any Amazon page you open, with the extension installed, and you’ll find the info along with the “Track product” option.
Chrome Android extension #4: Easier image savingEver find yourself needing to save an image from a website — then discovering that the image is in some funky format that isn’t what you require?
The aptly named Save Image As Type Chrome extension fixes that frustration once and for all. Just install the thing, then long-press on any image anywhere on the web — and…
Finally, you can save any image in any form you want — without any extra steps.JR Raphael, Foundry
There ya have it: You’ll find a newly added “Save image as…” option in the Vivaldi long-press menu, and tapping it will reveal a full menu of possibilities for saving your image however you need — without any annoying extra steps or after-saving conversions.
Chrome Android extension #5: The Wikipedia wizardFinally, make your Wikipedia work infinitely more pleasant with the excellent Wikiwand Chrome extension.
Wikiwand transforms every Wikipedia page into one with a delightfully modern, easy-on-the-eyes interface that has all the same info — just in a noticeably nicer form.
Once you see Wikipedia like this, you won’t want to go back.JR Raphael, Foundry
Install it, forget it, and enjoy a better Wikipedia experience henceforth. Now, that’s what I call an easy win.
Ready for even more unfair advantages? Check out my free Android Intelligence newsletter to get something new and useful in your inbox every Friday — and get my Android Notification Power-Pack today.
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An undisclosed Microsoft presentation is now central to a multimillion-dollar antitrust fight
There’s a new development in a Microsoft antitrust case, originally filed in England’s High Court in April 2021, and it doesn’t look good for the tech giant.
A consent order from the UK Competition Appeal Tribunal is demanding documents from past and present Microsoft executives that may have a bearing on a £270 million (about $361 million) lawsuit filed by secondhand software reseller ValueLicensing. The company alleges that Microsoft offered incentives to customers to shift to subscription services without selling their pre-owned licenses.
Central to this development is a historic, potentially damning internal “Second-Hand Software” (SHS) presentation, referred to in the consent order as a “known adverse document.” The specific content of the presentation has not yet been made public, but Microsoft has until October 31 to explain why it did not disclose the presentation earlier.
Further, a confidentiality designation that previously applied to 11 documents relevant to the case has been lifted.
These developments represent “an inflection point in European tech litigation,” said Forrester senior analyst Dario Maisto.
“For Amazon (AWS), Google, and Microsoft, the signal is clear: Antitrust tribunals are fully comfortable examining software licensing mechanics as tools of anticompetitive lock-in.”
The allegations against MicrosoftUnder EU law, it is fully legal to resell perpetual pre-owned (“second hand”) software licenses; software makers cannot use their Terms of Service (ToS) to override this right. ValueLicensing specializes in this secondary market, re-selling licenses for products including Microsoft Windows and Microsoft Office.
But the company alleges that Microsoft has stifled the supply of these pre-owned licenses in the UK and the European Economic Area (EEA) comprising 27 European Union member and non-member countries. It says Microsoft abused its market dominance and entered into agreements that “prevented, restrained or distorted competition” via clauses restricting customers from reselling their Microsoft perpetual licenses in return for subscription service discounts.
“The net result has been higher prices and less choice for customers, who have been steered into cloud-based Office365 and Azure subscriptions,” ValueLicensing claimed, pointing out that many enterprises, as well as publicly-funded organizations, rely on pre-owned Microsoft licenses to keep operating costs low.
The consent order is asking Microsoft to provide its “view” of whether those allegations are true, and to make “reasonable endeavors” to contact former COO Kevin Turner, former president and EVP Jean-Philippe Courtois, and former corporate VP of worldwide licensing and pricing Joe Matz. The company must document that it has done so by November 30.
The company must also file a witness statement from a former consultant addressing who within the company was aware of the SHS presentation and when they became aware of it; why the presentation was not disclosed as a “known adverse document”; when in-house legal counsel became aware of the presentation; what steps were taken to check for these types of “known adverse documents”; and the decision making process within the company when the presentation was located.
Microsoft is also being asked to search for specific terms in the emails and document repositories of Matz, Courtois, Turner, and several other named current and past research managers, former VPs and presidents, between July 2012 and June 2020.
The more than 40 search terms include “SHS,” “antitrust,” “competition,” “ValueLicensing,” “used licenses,” “do nothing,” “competition,” “revenue,” and “discount licensing.” These documents cannot be designated “restricted” or “confidential,” according to the consent order. They must also be disclosed by November 30.
A witness statement from deputy general counsel Cynthia Randall has been paused.
Microsoft has said that any abuse of dominance was “objectively justified” and that the contractual terms at issue were “necessary and reasonable.” It also argued that anti-competitive effects were “outweighed by and proportionate to” certain benefits and efficiencies.
The company did not reply to a request for comment.
Microsoft is facing similar antitrust allegations from UK barrister Alexander Wolfson, who issued an opt-out class action claim in May 2025 alleging that public and private UK organizations that purchased software licenses, including those for Microsoft Office and Windows, were overcharged over a 10 year period due to Microsoft’s market practices.
Wolfson said in a release at the time that Microsoft’s actions had a significant and far-reaching impact on UK consumers, businesses, and public bodies. “With billions of pounds potentially at stake, this case is about ensuring fairness in the digital marketplace and ensuring even the largest tech companies play by the rules,” he wrote.
Implications for enterprise leadersFor enterprise CIOs, procurement leads, and IT financial managers, the current development holds “practical implications,” said Forrester’s Maisto: Organizations that surrendered perpetual licenses or agreed to contractual restrictions against reselling software as part of an enterprise agreement (EA) renewal or cloud commitment may have given up quantifiable asset value.
“The secondary market for perpetual licenses remains legally valid,” he pointed out.
CIOs should pay close attention to licensing “penalties” or inflated costs for running legacy software on third-party clouds, like AWS or GCP, versus Azure, he said. They should also evaluate the benefits of hybrid licensing strategies. Combining pre-owned perpetual licenses for static workloads with cloud subscriptions for dynamic workloads can yield significant cost savings compared to all-subscription models, Maisto pointed out.
Finally, he urged, “use these rulings as leverage during Microsoft agreement renewals.”
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The Next Frontier Is Not Artificial Intelligence—It’s Artificial Societies
We’re fixated on the intelligence of single agents. The more profound challenge is what happens when millions of them interact at scale.
There is a temptation to divide the future of AI into two possibilities: utopia or catastrophe. Neither extreme is particularly helpful.
The more interesting possibility is messier—and requires a step-shift in our thinking, from artificial intelligence to AI societies.
When most people hear “AI,” they typically think of ChatGPT, Copilot, or another conversational system. You ask a question, that system generates an answer.
But AI is rapidly moving beyond this. Systems can now monitor the world, make decisions, negotiate transactions, and carry out tasks over extended periods of time. AI is no longer just generating an answer—it is doing something about it.
That points to something much bigger than a better chatbot: a world in which AI agents act on our behalf and, increasingly, interact with other AI agents.
An agent perceives what is happening, decides what to do, then takes actions to achieve this goal. It might book a journey, monitor a supply chain, coordinate a team, or manage a household’s finances.
Now imagine not one agent, but millions of them. Your AI agent could negotiate a mortgage with your bank’s agent, schedule surgery with a hospital’s agent, and rearrange your travel plans by dealing directly with the agents of airlines, hotels, and insurers.
This future is much closer than it sounds, and this should change the questions we are asking about AI. Until now, the tendency has been to focus on how intelligent a single agent might become. The more profound challenge is what happens when millions of them interact with one another at scale.
The Rise of Artificial SocietiesThe intellectual foundations of today’s AI systems were laid long before ChatGPT.
For decades, I and other researchers of multi-agent networks have studied how autonomous agents can cooperate, coordinate, and negotiate when nobody has complete information and nobody controls everything.
The earliest systems that emerged focused on how the distinct AI sub-areas of reasoning, planning, and acting could be combined into an effective goal-oriented agent—and how tens of these agents could communicate and cooperate to solve a common objective.
As these interactions became more complex and involved more agents, there was a shift from cooperation between agents that all belonged to a single organization, to agents with different owners and sometimes competing aims. This focused attention on building algorithms that could form agent teams, automate negotiation, and determine agent trustworthiness.
Today, the pieces needed to build large-scale multi-agent AI systems are falling into place. Modern AI agents can call software tools, access information, write and execute code, communicate with other systems, and operate for extended periods.
Consider a supply chain. One AI agent could represent a manufacturer trying to secure components; another a supplier trying to maximize its revenue. Yet more could manage transport, inventory, and warehouses. Each agent might be doing exactly what it is designed to do. But the important question is whether the system they create behaves sensibly.
This shift offers enormous potential benefits, but also increases the risks. In a recent experiment involving OpenAI and the tech platform Hugging Face, thousands of collaborating agents exchanged tens of thousands of messages and were able to get around the (deliberately weakened) security controls designed to contain them.
The details of one experiment matter less than the broader warning. When AI systems interact, the behavior of the collective can be harder to predict than the behavior of any individual system. That should make us cautious—but not cause us to down tools.
Instead, we need to shift our mindset from building intelligent machines to building intelligent societies.
Once agents can cooperate, compete, and resolve conflicts with one another, we are no longer dealing with isolated machines—we are dealing with a society. Thus, the next frontier is not artificial intelligence, it is artificial societies.
An Important Role for HumansWe already know that intelligence alone does not make a society work. Human societies depend on rules, institutions, incentives, norms, and mechanisms for resolving disagreements. AI societies will need their equivalents.
Who is responsible when two agents make a bad decision? What happens when the interests of different agents conflict? Who sets the rules? And who has the power to change them? These are not just technical issues; they are questions about economics, law, politics, and society.
They also point to an important role for humans. The most useful future is unlikely to be one in which AI simply replaces people. While replacement will undoubtedly happen in some cases, I believe a more common scenario will involve people and agents working together, with each doing what it does best.
Humans bring judgment, experience, values, contextual understanding, and accountability. Agents bring speed, persistence, scale, and the ability to process enormous amounts of information.
The goal should not be to create machines that make humans irrelevant. It should be to create systems in which humans and machines can achieve things neither can achieve alone.
But such a future requires more than just better AI models. It needs trust and transparency about what agents are doing, strong privacy protections and clear lines of accountability.
It will also require societies and governments to decide how these systems should be regulated when the most important behavior may emerge not from one AI developer, but from interactions between systems built by many different organizations.
AI’s past decade has been defined by a race to build smarter systems. I believe the next decade will be defined by a different challenge: ensuring that millions of autonomous systems can work together safely, fairly, and effectively.
The future of AI will not be determined solely by the intelligence of individual agents—it will be determined by the societies they create. And societies, as humans know all too well, are much harder to govern than individuals.
This article is republished from The Conversation under a Creative Commons license. Read the original article.
The post The Next Frontier Is Not Artificial Intelligence—It’s Artificial Societies appeared first on SingularityHub.
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