Amazon Is Going Nuts Before Prime Day, With This Mini Sony Portable Speaker Now Almost Free
For the summer, a good speaker that can be taken anywhere is a must if you're headed to the beach, by the pool or hosting a backyard party with your friends. The problem is, most portable speakers that are actually durable and sound well cost between $200 and $300, well out of most of our price ranges. That's why the Sony SRS-XB100 is such a great value today: This speaker is currently available on Amazon for as little as $38, a discount from its standard price of $59, which already is considerably lower than most other options will run. At a 37% off and all-time low, it's an opportunity to score a top quality portable speaker for about ten times cheaper than usual.
See at Amazon
Good Sound, Low Price
Affordable yet without sacrificing features or quality of sound, the Sony SRS-XB100 is designed to deliver strong and full sound with great bass from a more advanced driver that boosts low tones. From listening to a podcast stream to your favorite summer tunes, sound is crisp and lively, filling a room with low sound. The Sound Diffusion Processor even enhances this experience by diffusing sound evenly, such that anyone within the vicinity can hear the music irrespective of their seating.
The speaker is absurdly compact and lightweight, meaning you can carry it around in a bag or grasp it in your hand. It comes with a specially made strap, so you can attach it to your backpack, bike, or pin it up at your campsite. Don't let its minimal dimensions fool you: This speaker is rugged enough for the rigors of outdoor adventures and everyday use.
IP67 rated, the speaker is both dust and waterproof and thus can be taken to the poolside, beach, or even for a shower without worrying about being damaged. The new UV coating offers an extra layer of protection, ensuring that the speaker does not get faded off or wear away despite hours of exposure to sunlight. That makes it a reliable companion for summer vacations, travel, and spontaneous gatherings.
Apart from up to 16 hours of uninterrupted playback from a single charge, the battery level indicator keeps you informed at all times so you won't be caught off guard. Apart from this, it's easy and fast to recharge using the USB Type-C connection, so you will always be prepared.
It's simple to pair your devices with Bluetooth capabilities, and allows you to stream music straight from your phone, tablet, or laptop. You can even pair a second SRS-XB100 for stereo sound for an even more immersive listening experience. The built-in microphone with echo-canceling technology also allows hands-free calling to be clear and convenient, whether answering by the pool or during a group video call.
Good sound, durable construction, great battery life, and easy connectivity: Make sure to grab yours before it runs out of stock.
See at Amazon
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
12 minutes ago
- Yahoo
Uber Expands AI Data Platform to Power Next-Gen Enterprise and AI Lab Needs
SAN FRANCISCO, June 20, 2025--(BUSINESS WIRE)--Uber Technologies, Inc. (NYSE: UBER) today announced a major expansion of its AI data services business, Uber AI Solutions, making its technology platform available to support AI labs and enterprises around the world. The new offerings include customized data solutions for building smarter AI models and agents, global digital task networks, and tools to help companies build and test AI models more efficiently. Over the past decade, Uber has developed deep expertise in collecting, labeling, testing, and localizing data for its own global operations, including optimizing the search of places or menu items, training self-driving car systems, building Gen AI agents for customer support, and translating content in more than 100 languages. Now that same expertise is being made available to other businesses through Uber AI Solutions, the company's dedicated team focused on powering the next generation of artificial intelligence. "We're bringing together Uber's platform, people, and AI systems to help other organizations build smarter AI more quickly," said Megha Yethadka, GM and Head of Uber AI Solutions. "With today's updates, we're scaling our platform globally to meet the growing demand for reliable, real-world AI data." What's New Global digital task platformUber AI Solutions is now available in 30 countries with a platform that connects enterprises to global talent, including experts in coding, finance, law, science, and linguistics. These tasks include annotation, translation, and editing for multi-lingual and multi-modal content. Powered by Uber's foundational platforms for identity, verification, payments and more, this expands Uber's gig work model into the world of AI. A new data foundryA new service that provides ready-to-use and custom-collected datasets—including audio, video, image, and text—to train large AI models. Built with data collected by individuals around the world using Uber technology, the data foundry supports use cases on generative AI, mapping, speech recognition, and others, with built-in privacy and compliance. Agentic AI supportUber AI Solutions is offering the tools and data to help train smart AI agents, including realistic task flows, high-quality annotations, simulations and multilingual support, helping AI agents understand and navigate real-world business processes. Shared infrastructure for AI buildersUber is making its internal platforms available to enterprise clients. These are the same platforms Uber uses to manage large-scale annotation projects and validate AI outputs, and includes AI-powered smart onboarding, quality checks, smart task decomposition and routing, and feedback loops to ensure accuracy and efficiency. Building the human intelligence layer for AI With these advancements, Uber AI Solutions is poised to become the human intelligence layer for AI development worldwide—combining software, operational expertise, and its massive global scale. Looking ahead, Uber is building an AI-powered interface that will allow clients to simply describe their data needs in plain language, letting the platform handle setup, task assignment, workflow optimization, and quality management for scalable AI training. About Uber Uber's mission is to create opportunity through movement. We started in 2010 to solve a simple problem: how do you get access to a ride at the touch of a button? More than 61 billion trips later, we're building products to get people closer to where they want to be. By changing how people, food, and things move through cities, Uber is a platform that opens up the world to new possibilities. View source version on Contacts Uber Press Contact: press@
Yahoo
12 minutes ago
- Yahoo
Michael Hicks column: The labor demand shocks of artificial intelligence
The most disruptive technology in human history was almost certainly the wheel. That economic shock, and all the others that followed, give us useful insight into labor market effects of artificial intelligence. The invention of the wheel cut transportation costs by 80% or 90%, dramatically reducing demand for workers who carried goods across and between towns. We've had other technology shocks — the use of fossil fuels, steam and then electric power, the internal combustion engine and computers. All these technologies replaced tasks that were part of jobs. The wheel replaced a strong back, the steam loom replaced strong legs. The use of fossil fuels replaced the cutting, splitting and drying of lumber, and electricity replaced the use of steam looms. For us, the computer has been the most disruptive technology. It radically changed the types of work that almost everybody performs. It also changed our ways of communicating, our amusements, our safety and health. It brought us the internet, social media and now AI. AI has been around in some form since the 1950s. I first heard about it in 1992, when a colleague of mine, then an infantry captain, was sent to obtain a master's degree in AI. By 1997, I was learning the use of rudimentary AI in economic modeling. The new, commercial applications of AI are much more advanced — and interesting — than the early AI algorithms of the 1990s. The large language models are superb for writing reports, school papers and summaries of some topics. Generative AI can construct pictures and movies that are almost indistinguishable from the work of actual humans. The potential applications of these new technologies are boundless, to the extent that any one person could predict. I see all types of uses in economics and warfare, the two fields I've been trained and educated in. There are also limitations. I've asked commercial versions of LLMs to provide novel testable hypotheses in economics — the lifeblood of economic analysis. The LLMs are good at naming data sources and, with enough prompts, can even construct the mathematical model to support a hypothesis. But none of the hypotheses were really any more than most middle school kids could have derived. The generative AI models are equally poor right now, delivering pictures of people with seven fingers or grilling burgers with lettuce, tomatoes and buns. They'll get better, of course, but what is AI likely to do to the demand for labor? I think the easy answer is that it will increase the demand for labor, in much the same way as the wheel, the steam loom, the automobile and the computer. That is, in a very nuanced way. Technology doesn't replace jobs; it replaces tasks. Almost always, the tasks replaced are the most mundane, routine and trainable ones. In so doing, the technology makes the uniquely human part of the job more valuable. The best long-form description of this comes in an accessible paper by David Autor who described Polanyi's Paradox, that 'we can know more (about our jobs) than we can tell.' The point of Polyani, which Autor fleshed out in superb contemporary detail, is that the unseen part of technology is how humans adapt it to complement their innate skills. Since the end of World War II, technology has replaced more than 80% of the work done by the average American. Throughout the longest and most impactful technology shock, the U.S. boosted wages, production and employment. AI may be different than any technology before it, but the adaptation was not technological — it was human. We humans are much as we've always been, and the economic incentive to match complementary human and technology skills remains robust. The most likely outcome of AI adoption will be positive, like all the other technology adoptions before it. But that doesn't mean there won't be challenges. The most dramatically unpleasant periods of technology adoption occurred in the places, and among the people, that could not adapt. James Whitcomb Riley's The Raggedy Man of 1888 described a type of itinerant worker that existed until at least the 1960s in U.S. agriculture. The Raggedy Man is gone now, because the skills he brought to a farm are no longer sufficient to earn him three meals and a simple room. Even then, one is tempted by this poem to conclude that he was employed for reasons beyond labor productivity. Technology eliminates the less skilled tasks a worker does, pushing them to more skilled — and more uniquely human — tasks. AI is likely to impact skills held by more educated workers than the robotics of the 1980s and later, or the digitization of the 2000s. AI will write simple research summaries, press releases and perform straightforward design work. This will lead to increased demand for more detailed and complex research summaries, more insightful press releases and more innovative designs than AI can produce. AI will also open demand for employment totally divorced from the direct complementarity to technology. As easily replicable human skills become inexpensive, the relative value of scarcer, purely human skills will rise. What does AI portend for education and regions? The one common thread of all previous technologies is that they complemented human-specific intellectual and social skills. So, job losses were clustered among those who were armed with skills that were more readily replaced. Thus, AI is likely to boost demand for workers with a lengthier, broader and more complex education. That education accesses more latent human skills. This used to be called a liberal education, but a better moniker is a classical education. Of course, such an education is not trendy today, in part because it is costly. It is much cheaper and faster to prepare for the last technological shock than the next one.
Yahoo
13 minutes ago
- Yahoo
DCS Announces Issuance of Promissory Notes
San Diego, California--(Newsfile Corp. - June 20, 2025) - Direct Communication Solutions, Inc. (CSE: DCSI) (FSE: 7QU0), a leading provider of information technology solutions for the Internet of Things (IoT) market, today announced that it would not be pursuing its previously announced convertible debenture offering. The Company instead wishes to announce that it has issued to Arms Length investors (the "Lenders") interest bearing promissory notes (the "Notes") in the principal amount of $250,000. Pursuant to the Promissory Notes, the Company and the Lenders have agreed to a term of 24 months, at an annual interest rate of 19%. The Company may pre-pay the principal amount of the Promissory Note in whole, or in part, at any time or from time to time without premium or penalty. The Lender will be issued a total of 50,000 bonus warrants (the "Warrants") in connection with the Loan, with each Warrant being exercisable at CDN $3.12 per common shares for a period of 2 years. The Loan and issuance of Warrants remain subject to regulatory acceptance. About DCS DCS is a technology solutions integrator focusing on connecting the Internet of Things. We provide real solutions that solve real problems. Our software applications and scalable cloud services collect and assess business-critical data from all types of assets. DCS is headquartered in San Diego, California and is publicly traded on the Canadian Securities Exchange ("DCSI") and Frankfurt Stock Exchange ("7QU0"). For more information, visit DCS and the DCS logo are among the trademarks of DCS in the United States. Any other trademarks or trade names mentioned are the property of their respective owners. Contacts: Bill Espley, Director bespley@ 604-630-3072 Chris Bursey, CEOcbursey@ Forward-Looking Statements This release contains forward-looking statements, which reflect management's current views of future events and operations. These statements are based on current expectations and assumptions that are subject to risks and uncertainties that could cause actual results to differ materially. We believe that these potential risks and uncertainties include, without limitation: the ongoing COVID-19 pandemic, the Company's dependence on third-party manufacturers, suppliers, technologies and infrastructure; risks related to intellectual property; industry risks including competition, online security, government regulation and global economic conditions; and the Company's financial position and need for additional funding, Statements in this release should be evaluated in light of these factors. These risk factors and other important factors that could affect our business and financial results are discussed in our Management's Discussion and Analysis, periodic reports and other public filings which are available on SEDAR+ at and posted with the OTC Disclosure and News Service. DCS undertakes no duty to update or revise any forward-looking statements. To view the source version of this press release, please visit 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
