Prime Day Has Started Early, This 15-Inch Portable Monitor Is Now 50% Off to a Record Low
Amazon is now selling this popular display at an all-time low price of just $69 which is a stunning 46% discount off its regular list price of $129. This pre-Prime Day offer makes it more convenient (and cheaper) than ever before to improve your digital setup.
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Videos Look Stunning
This monitor boasts a 15.6-inch high-definition IPS screen with Full HD 1920×1080 resolution and HDR technology for rich colors and crystal-clear sharpness regardless of angle. The monitor's wide 178-degree viewing angle ensures that images and videos look stunning whether you're working, gaming or streaming. Eye-care features such as blue light filtering and flicker-free technology ensure comfort for long hours of usage and protect your eyes as you stay productive or engaged.
Connectivity is hassle-free with two USB-C ports and a Mini-HDMI port so you can use it with literally any device like laptops, smartphones, PCs and consoles like the PlayStation or Xbox. With its incredibly thin 0.3-inch profile and very light 1.7-pound weight, you can simply shove it in your bag and go wherever you please. The built-in smart cover doubles as a stand, offering multiple angles of view for your ease and comfort and stereo speakers and a 3.5mm audio jack add to your multimedia experience.
This KYY monitor is also constructed to be flexible to accommodate both landscape and portrait modes as per your need, be it editing files, surfing the web or catching a movie.
If you're looking for a reliable and affordable portable monitor, this KYY model is our top recommendation (especially now, with its record-low price).
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Yahoo
5 hours ago
- Yahoo
Stablecoins Are on the Rise. 3 Reasons Investors Should Pay Attention to This Popular Cryptocurrency.
Key Points New crypto legislation in Congress has paved the way for rapid expansion of the stablecoin industry. In addition to financial services firms, companies in industries ranging from retail to tech could launch new stablecoins. Stablecoins have the potential to disrupt existing industries and change the way investors value companies. 10 stocks we like better than Circle Internet Group › Passage of landmark new crypto legislation (the Genius Act) has led to a surge of positive sentiment about stablecoins. Some investors now think they have the potential to disrupt entire industries. Although some of this hype and buzz may be overblown, investors still need to pay attention. Here are three key ways that stablecoins could influence your investment strategy. 1. Impact on the business models of top companies Stablecoins, which are cryptocurrencies pegged 1:1 to a fiat currency such as the U.S. dollar, have the potential to affect the business models of companies that have nothing to do with crypto or blockchain. Take retail, for example. A handful of top retailers -- including Amazon and Walmart -- are now exploring stablecoins as a way of cutting down on credit card processing fees. At some point in the not-so-distant future, you might be paying for your online purchases with stablecoins, rather than credit cards. Or what about the financial services industry? Visa is a prime candidate for disruption, so it is already taking steps to prepare for the stablecoin era. And Western Union is also preparing for the day when customers use stablecoins rather than dollars to send cross-border remittances. So get ready to hear a lot about stablecoins on analyst calls and at investor conferences. After asking questions about the impact of artificial intelligence (AI), investors and analysts might start to ask about the impact of stablecoins. At the very least, investors need to understand how stablecoins might change or disrupt existing business models. 2. New stablecoin launches Also, get ready for a deluge of new stablecoin launches from some unlikely names. And it won't just be banks or financial institutions issuing them. Under the Genius Act, even nonbanks will be able to issue them. And that could really open the floodgates. Right now, Tether (CRYPTO: USDT) and USDC (CRYPTO: USDC), the stablecoin issued by Circle Internet Group (NYSE: CRCL), account for a whopping 90% of the $250 billion stablecoin industry. According to the latest Motley Fool stablecoin research, Tether and Circle are smaller than the biggest national banks, but larger than typical midsized brokerages. So, they're definitely, a force to be reckoned with. Right now, I'm partial to USDC, because it's the unofficial stablecoin of Coinbase Global (NASDAQ: COIN), which has a partnership agreement with Circle. I also am confident that it will never lose its peg to the U.S. dollar. I wouldn't have as much confidence in smaller stablecoins without such a proven track record or as many key partners. It's easy to see how this industry will become a lot more fragmented very soon, making it potentially even more confusing for the average investor. In June, Fortune reported that Apple, Airbnb, X, and Alphabet were exploring stablecoin launches. So, if you're an Apple fan, you might want to own an Apple stablecoin. The same is true if you're an Elon Musk fan -- wouldn't you want to own a cool new X stablecoin? 3. Ethereum Finally, there's the matter of which blockchain will emerge as the dominant platform for stablecoins. Presumably, investors will flock to blockchains that are seeing the most success with stablecoins. That's because stablecoins are key building blocks for everything that happens in blockchain finance. So the most popular blockchains for stablecoins should also get the highest valuations. Currently, Ethereum (CRYPTO: ETH) is getting a lot of buzz because it accounts for 49% of the stablecoin market. According to investment strategist Tom Lee of Fundstrat, stablecoins are going to create a "ChatGPT moment" for Ethereum, with the potential to really light a fire under its price. With that in mind, it's easy to see why high-profile investors such as Peter Thiel are now starting to increase their exposure to Ethereum as a way of investing in stablecoins. But Ethereum hardly has a monopoly on stablecoins. All Layer-1 blockchains, if they can support smart contracts, should also be able to support stablecoins. And that creates the opportunity for relatively unknown names to really pop. According to CoinGecko, Tron (CRYPTO: TRX) has a 34.1% share of the stablecoin market. By way of comparison, Solana (CRYPTO: SOL) only has a measly 2.2% share. If you think that stablecoins are the future, then Solana (with a $100 billion valuation), might be way overvalued compared to Tron, which has a $30 billion valuation. What's the best way to play the stablecoin trend? It's obvious that there are a number of different ways to play the stablecoin trend. The easiest way is to invest in the issuers of stablecoins, such as Circle. That gives you maximum exposure to any potential upside. You could also invest in blockchains such as Ethereum that are dominant in stablecoins, with the expectation that their values are going to soar. By the end of 2025, investing in stablecoins could get very interesting. What if a popular company like Amazon, Apple, or Alphabet decides to launch a stablecoin? It might fundamentally alter the way investors view these companies. That's why, even if you've never paid attention to stablecoins before, you should now. Very soon, they're going to become impossible to ignore. Should you invest $1,000 in Circle Internet Group right now? Before you buy stock in Circle Internet Group, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Circle Internet Group wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $636,774!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,064,942!* Now, it's worth noting Stock Advisor's total average return is 1,040% — a market-crushing outperformance compared to 182% for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of July 21, 2025 Dominic Basulto has positions in Amazon, Circle Internet Group, Ethereum, Solana, and USDC. The Motley Fool has positions in and recommends Airbnb, Alphabet, Amazon, Apple, Ethereum, Solana, Visa, and Walmart. The Motley Fool recommends Coinbase Global. The Motley Fool has a disclosure policy. Stablecoins Are on the Rise. 3 Reasons Investors Should Pay Attention to This Popular Cryptocurrency. was originally published by The Motley Fool
USA Today
7 hours ago
- USA Today
MCP Connects, SDP Delivers: The Missing Half of AI Memory is Here
Prescott, Arizona / Syndication Cloud / July 22, 2025 / David Bynon Key Takeaways Model Context Protocol (MCP) creates AI connections to external tools but doesn't define structured memory content Semantic Digest Protocol (SDP) provides trust-scored, fragment-level memory objects for reliable AI operations Multi-agent systems typically fail due to missing shared, verifiable context rather than communication issues MCP and SDP together form a complete memory architecture that stops hallucinations and contextual drift MedicareWire will implement SDP in 2025 as the first major deployment of AI-readable, trust-verified memory in a regulated domain AI's Memory Crisis: Why Today's Systems Can't Remember What Matters Today's AI systems face a critical problem: they process vast information but struggle with reliable memory. This isn't merely a technical issue — it's what causes hallucinations, inconsistency, and unreliability in advanced AI deployments. This problem becomes obvious in multi-agent systems. When specialized AI agents work together, they don't typically fail from poor communication. They fail because they lack shared, scoped, and verifiable context. Without standardized memory architecture, agents lose alignment, reference inconsistent information, and produce unreliable results. David Bynon, founder at MedicareWire, identified this issue early on. In regulated areas like Medicare, incorrect information can seriously impact consumers making healthcare decisions. The solution needs two protocols working together to create a complete memory system for AI. The first protocol, Model Context Protocol (MCP), addresses the connection problem. But it's just half of what's needed for truly reliable AI memory. Understanding Model Context Protocol (MCP) IBM recently recognized the Model Context Protocol (MCP) as core infrastructure for AI systems, describing it as 'USB-C for AI' — a universal connector standard allowing AI models to connect with external tools, data sources, and memory systems. This recognition confirmed what many AI engineers already understood: standardized connections between AI models and external resources build reliable systems at scale. IBM's Recognition: The 'USB-C for AI' Breakthrough The USB-C comparison makes sense. Before USB standardization, connecting devices to computers required numerous proprietary ports and cables. Before MCP, every AI tool integration needed custom code, fragile connections, and ongoing maintenance. IBM's official support of MCP acknowledged that AI's future requires standardized interfaces. Just as USB-C connects any compatible device to any compatible port, MCP creates a standard protocol for AI systems to interact with external tools and data sources. What MCP Solves: The Transport Problem MCP handles the transport problem in AI systems. It standardizes how an AI agent: Negotiates with external systems about needed information Creates secure, reliable connections to tools and data sources Exchanges information in predictable, consistent formats Maintains state across interactions with various resources This standardization allows developers to build tools once for use with any MCP-compliant AI system. Custom integrations for each new model or tool become unnecessary — just consistent connectivity across platforms. The Critical Gap: Missing Content Definition Despite its value, MCP has a major limitation: it defines how AI systems connect, but not what the content should look like. This resembles standardizing a USB port without defining the data format flowing through it. This creates a significant gap in AI memory architecture. While MCP handles connections, it doesn't address: How to structure memory for machine understanding How to encode and verify trust and provenance How to scope and contextualize content How information fragments should relate to each other This explains why AI systems with excellent tool integration still struggle with reliable memory — they have connections but lack content structure for trustworthy recall. Semantic Digest Protocol: The Memory Layer MCP Needs This is where the Semantic Digest Protocol (SDP) fits — built to work with MCP while solving what it leaves unaddressed: defining what memory should actually look like. Trust-Scored Fragment-Level Memory Architecture SDP organizes memory at the fragment level, instead of treating entire documents as single information units. Each fragment — a fact, definition, statistic, or constraint — exists as an independent memory object with its own metadata. These memory objects contain: The actual information content A trust score based on source credibility Complete provenance data showing information origin Scope parameters showing where and when the information applies Contextual relationships to other memory fragments This detailed approach fixes a basic problem: AI systems must know not just what a fact is, but how much to trust it, where it came from, when it applies, and how it connects to other information. Using the 'USB-C for AI' analogy, SDP is a universal, USB-C thumb drive for the Model Context Protocol. It provides data, across multiple surfaces, in a format MCP recognizes and understands Machine-Ingestible Templates in Multiple Formats SDP creates a complete trust payload system with templates in multiple formats: JSON-LD for structured data interchange TTL (Turtle) for RDF graph representations Markdown for lightweight documentation HTML templates for web publication Invented by David Bynon as a solution for MedicareWire, the format flexibility makes SDP work immediately with existing systems while adding the necessary trust layer. For regulated sectors like healthcare, where MedicareWire operates, this trust layer changes AI interactions from educated guesses to verified responses. The Complete AI Memory Loop: MCP + SDP in Action When MCP and SDP work together, they form a complete memory architecture for AI systems. Here's the workflow: From User Query to Trust-Verified Response The process starts with a user query. Example: 'What's the Maximum Out-of-Pocket limit for this Medicare Advantage plan in Los Angeles?' The AI model uses MCP to negotiate context with external resources. It identifies what specific plan information it needs and establishes connections to retrieve that data. The external resource sends back an SDP-formatted response with the requested information. This includes the MOOP value, geographic scope (Los Angeles County), temporal validity (2025), and provenance (directly from CMS data), all with appropriate trust scores. With trust-verified information, the model answers accurately: 'The 2025 Maximum Out-of-Pocket limit for this plan in Los Angeles County is $4,200, according to CMS data.' No hallucination. No vague references. No outdated information. Just verified, scoped, trust-scored memory through standardized connections. Eliminating Hallucinations Through Verified Memory This method addresses what causes hallucinations in AI systems. Rather than relying on statistical patterns from training, the AI retrieves specific, verified information with full context about reliability and applicability. When information changes, there's no need to retrain the model. The external memory layer updates, and the AI immediately accesses new information—complete with trust scoring and provenance tracking. Real-World Implementation: MedicareWire 2025 This isn't theoretical — SDP launches on in August 2025, marking the first major implementation of AI-readable, trust-scored memory in a regulated domain. 1. First Large-Scale Deployment in a Regulated Domain The healthcare industry, especially Medicare, offers an ideal testing ground for trust-verified AI memory. Incorrect information has serious consequences, regulations are complex, and consumers need reliable guidance through a confusing system. MedicareWire's implementation will give AI systems unprecedented accuracy when accessing Medicare plan information. Instead of using potentially outdated training data, AI systems can query MedicareWire's SDP-enabled content for current, verified information about Medicare plans, benefits, and regulations. 2. Solving Healthcare's Critical Information Accuracy Problem Consumers using AI assistants for Medicare options will get consistent, accurate information regardless of which system they use. The SDP implementation ensures any AI agent can retrieve precise details about: Plan coverage specifications Geographic availability Cost structures and limitations Enrollment periods and deadlines Regulatory requirements and exceptions All come with proper attribution, scope, and trust scoring. 3. Creating the Foundation for Multi-Agent Trust Infrastructure Beyond immediate benefits for Medicare consumers, this implementation creates a blueprint for trust infrastructure in other regulated fields. Multi-agent systems will have shared, verifiable context — eliminating drift and hallucination problems that affect complex AI deployments. The combination of MCP's standardized connections and SDP's trust-verified memory builds the foundation for reliable AI systems that can safely operate in highly regulated environments. From Connection to Memory: The Future of Reliable AI Is Here David Bynon, founder of Trust Publishing and architect of SDP, states: 'We didn't just create a format. We created the trust language AI systems can finally understand — and remember.' As AI shapes important decisions in healthcare, finance, legal, and other critical fields, reliable, verifiable memory becomes essential. The MCP+SDP combination shifts from probabilistic guessing to trust-verified information retrieval — defining the next generation of AI applications. SDP will be available as an open protocol for non-directory systems, supporting broad adoption and continued development across the AI ecosystem. As the first major implementation, MedicareWire's deployment marks the beginning of a new phase in trustworthy artificial intelligence. MedicareWire is leading development of trustworthy AI memory systems that help consumers access accurate healthcare information when they need it most. David Bynon 101 W Goodwin St # 2487 Prescott Arizona 86303 United States
Business Insider
9 hours ago
- Business Insider
Alibaba (BABA) vs. Amazon (AMZN): Which E-Commerce Stock Has More Upside Ahead of Q2 Earnings?
The second-quarter earnings season is in full swing, and investors are closely watching global e-commerce leaders like Amazon (AMZN) and Alibaba (BABA) to assess the strength of consumer demand, the outlook for digital retail, and their growing role in artificial intelligence. Using TipRanks' Stock Comparison Tool, we will compare these two tech-powerhouse stocks to find the better pick ahead of the upcoming earnings results, according to Wall Street analysts. Elevate Your Investing Strategy: Take advantage of TipRanks Premium at 50% off! Unlock powerful investing tools, advanced data, and expert analyst insights to help you invest with confidence. Alibaba (NYSE:BABA) Stock Alibaba is China's largest e-commerce and cloud services company, operating platforms like Taobao, Tmall, and AliCloud. The stock has climbed over 39% so far this year, driven by strong gains in its AI-powered cloud services and growing demand for instant delivery. The company is doubling down on artificial intelligence, aiming to use it to transform online shopping and cloud services. It is using AI across its apps and cloud platform to improve customer experience and stay ahead of the competition. Looking ahead, the company is set to report its Q1 FY26 earnings next month. Wall Street expects Alibaba to report earnings of $2.22 per share for Q1, down 3% from the year-ago quarter. The decline could be due to the company's heavy investment in logistics and delivery. Meanwhile, analysts project Q1 revenues at $35.46 billion, up 6% year-over-year. Is Alibaba Stock a Good Buy Right Now? Ahead of the Q1 results, Benchmark's Top analyst Fawne Jiang reiterated her Buy rating with a $176 price target, implying a 47% gain from current levels. The analyst sees recent share weakness as a 'buying opportunity' and encourages investors to 'build exposure on dips,' confident in Alibaba's strong long-term growth outlook. Nevertheless, she expects Alibaba's margins and profits to come under pressure in the near term due to increased spending. As a result, Benchmark has cut its EBITDA forecast to RMB44 billion for Q1 FY26 and RMB208 billion for the full FY26, 'reflecting near-term margin pressure.' Overall, Wall Street has a Strong Buy consensus rating on Alibaba stock based on 14 Buys and one Hold rating. The average Alibaba price target of $151.08 implies about 26% upside potential from current levels. Amazon (NASDAQ:AMZN) Stock E-commerce and cloud computing giant Amazon is proving the resilience of its business model despite macro challenges and tariff woes. The stock has climbed over 5% so far this year. Several analysts remain bullish on Amazon's high-margin cloud unit, Amazon Web Services (AWS), which is expected to benefit from growing AI demand. In Q1 2025, AWS accounted for just 19% of revenue but delivered an impressive 63% of total operating profit. Meanwhile, Amazon's fast-expanding advertising segment is also emerging as a key growth engine. Looking ahead, Amazon is scheduled to announce its second-quarter results on July 31. Wall Street projects a 9% growth in Amazon's revenue to $162 million. Meanwhile, analysts expect the company to report earnings per share of $1.32 compared to $1.26 in the prior-year quarter. Is Amazon a Buy, Hold, or Sell? Ahead of the Q2 print, BofA Securities analyst Justin Post raised his price target to $265, up from $248, while maintaining a Buy rating. Post expects Amazon's Q2 retail performance to be strong, helped by positive credit card spending data and an extended Prime Day. He also believes AWS is picking up pace, with a strong order backlog and rising cloud demand. The analyst now predicts Q2 revenue of $164 billion, above Wall Street's estimate of $162.1 billion. Turning to Wall Street, AMZN stock has a Strong Buy consensus rating based on 44 Buys and one Hold assigned in the last three months. At $258.27, the average Amazon stock price target implies an 11.59% upside potential. Conclusion Ahead of earnings, Wall Street remains bullish on both Alibaba and Amazon stocks. However, analysts see greater upside potential in Alibaba, supported by its strong fundamentals, expanding AI initiatives, and solid recovery in e-commerce business. Meanwhile, Amazon is gaining from steady growth in cloud and advertising, two high-margin areas set to benefit from AI. While its upside may be smaller than Alibaba's, Amazon's stable growth and strong cash flow continue to earn Wall Street's confidence.
